CN110458635A

CN110458635A - Information processing method and system for smart machine

Info

Publication number: CN110458635A
Application number: CN201810430480.3A
Authority: CN
Inventors: 张彪; 吕立强
Original assignee: Beijing Didi Infinity Technology and Development Co Ltd
Current assignee: Beijing Didi Infinity Technology and Development Co Ltd
Priority date: 2018-05-08
Filing date: 2018-05-08
Publication date: 2019-11-15

Abstract

The embodiment of the present disclosure provides a kind of information processing method for smart machine, the information processing system for smart machine, computer equipment and computer readable storage medium, applied to mobile solution, wherein, smart machine, which is equipped with, leases relevant application software to article, information processing method for smart machine includes: the historical record of application software for XRF analysis, to obtain the handover information of recommendation；By the handover information input frame of the handover information input application software of recommendation.The information processing method for smart machine that the embodiment of the present disclosure provides, it can be by big data analysis, the handover information for collecting the historical record of application software and analyzing user's use habit, and then article being recommended to lease, and automatically will handover information filling handover information input frame.Since the recommendation results accuracy based on big data is high, user more avoids when frequently using and repeatedly inputs, to save the selection time of user, improve user experience without being manually entered.

Description

Information processing method and system for smart machine

Technical field

The embodiment of the present disclosure is related to mobile solution, in particular to a kind of information for smart machine Processing method, a kind of information processing system, a kind of computer equipment, a kind of computer-readable storage medium for smart machine Matter.

Background technique

In automobile leasing application program, the user usually needs to be manually entered the time of using cars and send pick-up place, and vehicle is used Time is related to pick up the car time and time input at the time two of returning the car, and in terms of sending pick-up place, selection is related to using when making house calls Visiting when vehicle send vehicle place and the place of picking up the car of visiting when returning the car, i.e. being manually entered for two addresses selects user to ask for clothes Pick-up service point is further related to when business and is returned the car service point, i.e., the selection of two service points, input content is more, particularly with vehicle Frequently and there is the usual user for sending pick-up place, the amount of repeatedly inputting is big, seriously affects user experience.

Summary of the invention

The embodiment of the present disclosure aims to solve at least one of technical problems existing in the prior art or related technologies.

For this purpose, the first aspect of the embodiment of the present disclosure is, a kind of information processing method for smart machine is proposed.

The second aspect of the embodiment of the present disclosure is, proposes a kind of information processing system for smart machine.

The third aspect of the embodiment of the present disclosure is, proposes a kind of computer equipment.

The fourth aspect of the embodiment of the present disclosure is, proposes a kind of computer readable storage medium.

In view of this, according to the first aspect of the embodiments of the present disclosure, providing a kind of information processing for smart machine Method, smart machine, which is equipped with, leases relevant application software to article, comprising: the historical record of application software for XRF analysis, with The handover information recommended out；By the handover information input frame of the handover information input application software of recommendation.

The information processing method for smart machine that the embodiment of the present disclosure provides, can answer by big data analysis, collection The handover information with the historical record of software and analyzed user's use habit, and then article is recommended to lease, and automatically will handover letter Breath filling handover information input frame.Since the recommendation results accuracy based on big data is high, user frequently makes without being manually entered Used time more avoids and repeatedly inputs, to save the selection time of user, improves user experience.

In addition, according to the information processing side for smart machine in the above-mentioned technical proposal of embodiment of the present disclosure offer Method can also have following additional technical feature:

In the above-mentioned technical solutions, it is preferable that the historical record of application software for XRF analysis, to obtain the handover information of recommendation Step includes: the transaction record of application software for XRF analysis, and to obtain the handover moment of recommendation, handover information includes the handover moment.

In the technical scheme, handover information include handover the moment, i.e., borrow side exchanged with lending side lease article when It carves.For the handover moment, due to its versatility height, when analysis, can be based on the transaction record generated in application software, by big Many use habits are predicted that accuracy is high.

In any of the above-described technical solution, it is preferable that the transaction record of application software for XRF analysis, when handover to obtain recommendation The operation at quarter includes: the transaction record of statistics application software, generates and places an order the moment and borrow the time difference curve at moment, when handover Carve includes borrowing the moment；The peak value for determining time difference curve, as the recommendation time difference；Obtain the start-up time of application software；Root According to start-up time and the time difference is recommended to calculate the borrow moment recommended.

In the technical scheme, the method for obtaining the handover moment of recommendation is specifically defined.Before user places an order, pass through system Count application software for XRF analysis transaction record, can the use habit based on different user to user place an order the moment to borrow the moment when Between difference predicted, in conjunction with the start-up time of application software, can calculate and borrow the moment, be manually entered without user, thus Save the selection time of user.Circular is that the start-up time of application software is when borrowing plus the time difference is recommended It carves.

In any of the above-described technical solution, it is preferable that the transaction record of application software for XRF analysis, when handover to obtain recommendation The operation at quarter further include: the transaction record of statistics application software generates and borrows total duration curve；It determines and borrows total duration curve Peak value borrows total duration as recommendation；The moment is given back according to what the borrow moment of recommendation and recommendation borrow total duration calculating were recommended, The handover moment includes borrowing the moment and giving back the moment.

In the technical scheme, it further specifically defines the method for obtaining the handover moment of recommendation, is based on different user Use habit the borrow total duration of user is predicted, in conjunction with the calculated borrow moment, can calculate and give back the moment, It is manually entered without user, to save the selection time of user.Circular is to borrow the moment along with recommendation borrows Total duration is to give back the moment.

In any of the above-described technical solution, it is preferable that the transaction record of application software for XRF analysis, when handover to obtain recommendation The operation at quarter includes: the region where the handover place of the current location that analysis obtains and/or input handover information input frame, is made To recommend region, handover information includes handover moment and handover place；Whole transaction records are traversed, to select part transaction note Record, the handover place for the transaction record selected, which is located at, recommends in region；The transaction record selected is analyzed, to obtain the handover of recommendation Moment.

In the technical scheme, it specifically defines and filters out part transaction record from whole transaction records of application software A kind of mode.Joining information includes handover moment and handover place, i.e., borrow side is exchanged with lending side at the time of lease article The place and.When screening transaction record, using the handover place of current location and/or input as reference, using region where it as pushing away Region is recommended, then filters out the transaction record for recommending to generate in region, the handover of recommendation is finally obtained from the part transaction record Moment.Due in same region traffic conditions and user's use habit be closer to, filter out the part transaction record as hand over The calculating basis for connecing the moment, may filter that unrelated transaction, improves the accuracy of recommendation, reduce user's modified probability manually, mention High user experience.

In any of the above-described technical solution, it is preferable that the transaction record of application software for XRF analysis, when handover to obtain recommendation The operation at quarter include: judge obtain current location and/or input handover information input frame handover place whether belong to it is special The service point of type, service point are that the user that service provider opens up voluntarily takes also place, and handover information includes handover moment and handover Place；When the handover place of the current location of acquisition and/or input handover information input frame belongs to the service point of specific type, Whole transaction records are traversed, to select part transaction record, the handover place for the transaction record selected belongs to identical special defects The service point of type；The transaction record selected is analyzed, to obtain the handover moment of recommendation.

In the technical scheme, it specifically defines and filters out part transaction record from whole transaction records of application software Another way.Join information include handover the moment and handover place, i.e., borrow side exchanged with lending side lease article when It carves and place is asked for for home delivery service and user respectively wherein handover place is divided into delivery place and two kinds of service point Service, the former can be any place that can theoretically reach, and the latter is then opened up by service provider, and user can be from multiple clothes of setting It is selected on demand in business point.Handover place is divided into two classes, can satisfy the different handover demands of user, service provider's offer is provided Corresponding service, improves user experience.When screening transaction record, it is with the handover place of current location and/or input first Reference, judges whether the place is the service point of specific type, if so, filtering out the friendship in the service point generation of same type Easily record, finally obtains the handover moment of recommendation from the part transaction record.Since the function of this kind of service point is special, therefore send out Being born in transaction of this transaction often with other places in same region has larger difference, filters out the part transaction record conduct The calculating basis for joining the moment, may filter that unrelated transaction, improves the accuracy of recommendation, reduce user's modified probability manually, Improve user experience.

In any of the above-described technical solution, it is preferable that the historical record of application software for XRF analysis, to obtain the handover letter of recommendation The step of breath includes: the operation note for analyzing active user, and to obtain the handover place of recommendation, handover information includes handover ground Point.

In the technical scheme, handover information includes handover place, i.e. borrow side exchanges the ground for leasing article with lending side Point.Recommendation results can be made more to meet individual character based on the operation note of active user since its versatility is low for handover place Change demand, improves user experience.

In any of the above-described technical solution, it is preferable that the operation note of active user is analyzed, to obtain the handover of recommendation The operation of point includes: the weight by the handover place of preset rules setting operation note；Go out the handover recommended according to weight calculation Place.

In the technical scheme, the method for obtaining the handover place of recommendation is specifically defined.Obtain active user's first Operation note, and it is assigned to corresponding weight for these operation notes, the handover place of recommendation is obtained by weighted calculation, for list The use habit of a user has extremely strong personalization, improves the accuracy of recommendation results, it is modified manually to reduce user Probability improves user experience.

In any of the above-described technical solution, it is preferable that the weight in the handover place by preset rules setting operation note Operation before, further includes: judge whether operation note concentrates within a preset period of time；By preset rules setting operation note The operation for joining the weight in place specifically executes are as follows: when operation note is concentrated within a preset period of time, enables in preset time period Operation note weight be higher than preset time period outside operation note weight；When operation note does not concentrate on preset time period When interior, all operationss recorded, equal weight is set or all operationss record temporally sorts from the near to the remote, setting operation The weight of record is successively decreased.

In the technical scheme, the rule of setting weight is specifically defined.The Annual distribution feelings of operation note are analyzed first Condition shows the operation note reference value with higher in this segment set if operation note is concentrated within a preset period of time, Its weight can be improved, to improve the accuracy of recommendation.It is settable equal to the weight of the operation note other than preset time period Weight, may be alternatively provided as that the time is closer, and weight is higher；When operation note is without integrated distribution within a preset period of time, All operationss can be recorded and equal weight is set, operations can also recorded according to time sequence, newest operation note Weight highest, other operation notes are gradually successively decreased.

In any of the above-described technical solution, it is preferable that the weight in the handover place by preset rules setting operation note Operation before, further includes: obtain current location and current time；Judge to input the borrow moment for joining information input frame and work as It is poor whether the time difference at preceding moment is less than or equal to preset time, and handover information includes borrowing the moment；When the borrow moment and currently When the time difference at moment is less than or equal to preset time difference, calculate all operationss record borrow place and current location away from From handover information includes borrowing place；All operationss record is traversed, to search out the operation that distance is less than or equal to pre-determined distance Record；It is specifically executed by the operation of the weight in the handover place of preset rules setting operation note are as follows: the operation searched out is remembered Record, it is closer from current location, higher weight is set.

In the technical scheme, a kind of adjustment rule of weight is specifically defined.Compare borrow moment of input and current Moment shows that user will borrow article if the two is close, obtains the current location of user at this time, then borrows place selection A possibility that near current location, is very big, therefore filters out behaviour of the actual borrow place within the scope of current location certain distance It notes down, increases the weight of these operation notes, and closer to current location, weight is bigger, pushes away to can further improve The accuracy recommended.

In any of the above-described technical solution, it is preferable that the operation note of active user is analyzed, to obtain the handover of recommendation If the operation of point includes: active user without operation note, current location is obtained as the handover place recommended.

In the technical scheme, it specifically defines for the user without operation note, such as new user, obtains the handover of recommendation The method in place.Corresponding this kind of user just will do it inquiry and place an order when often just being leased, thus join place It is higher with regard to nigh possibility, improve the accuracy of recommendation.

In any of the above-described technical solution, it is preferable that in the handover information for the handover information input application software that will recommend After the step of input frame, further includes: operated in response to user for the input of handover information input frame, information input will be joined Content in frame replaces with the information that user is manually entered.

In the technical scheme, after the handover information for automatically entering recommendation, if detecting user for handover information input Frame has carried out input operation, then shows that the content recommended and the expectation of user are not inconsistent, at this time can be according to the input content of user more Content in new handover information input frame, improves the flexibility of information input.

According to the second aspect of an embodiment of the present disclosure, a kind of information processing method for smart machine is provided, intelligence Equipment, which is equipped with, leases relevant application software to article, comprising: analysis module, for the historical record of application software for XRF analysis, To obtain the handover information of recommendation；Input module, the handover information input of the handover information input application software for that will recommend Frame.

The information processing system for smart machine that the embodiment of the present disclosure provides, analysis module can be by big datas point Analysis, collects the historical record of application software and analyzes user's use habit, and then the handover information for recommending article to lease, and by defeated Entering module automatically will handover information filling handover information input frame.Since the recommendation results accuracy based on big data is high, user Without being manually entered, more avoids and repeatedly input when frequently using, to save the selection time of user, improve user's body It tests.

In addition, according to the information processing system for smart machine in the above-mentioned technical proposal of embodiment of the present disclosure offer System, can also have following additional technical feature:

In the above-mentioned technical solutions, it is preferable that analysis module includes: moment analysis module, for application software for XRF analysis Transaction record, to obtain the handover moment of recommendation, handover information includes the handover moment.

In the technical scheme, handover information include handover the moment, i.e., borrow side exchanged with lending side lease article when It carves.It, can be based on the transaction note generated in application software when moment analysis module is analyzed due to its versatility height for the handover moment Record, to be predicted by public use habit, accuracy is high.

In any of the above-described technical solution, it is preferable that moment analysis module includes: the first statistic unit, is answered for counting With the transaction record of software, the time difference curve at place an order moment and borrow moment is generated, the handover moment includes borrowing the moment；First Value unit, for determining the peak value of time difference curve, as the recommendation time difference；First acquisition unit, it is soft for obtaining application The start-up time of part；First computing unit, for according to start-up time and the borrow moment for recommending time difference calculating to recommend.

In the technical scheme, moment analysis module is specifically defined.Before user places an order, the first statistic unit and first Value unit can place an order the moment to user based on the use habit of different user by the transaction record of statistical analysis application software It is predicted to the time difference for borrowing the moment, in conjunction with the start-up time for the application software that first acquisition unit is got, first Computing unit, which can calculate, borrows the moment, is manually entered without user, to save the selection time of user.Specific calculating process For the start-up time of application software is to borrow the moment plus the time difference is recommended.

In any of the above-described technical solution, it is preferable that moment analysis module further include: the second statistic unit, for counting The transaction record of application software generates and borrows total duration curve；Second value unit, for determining the peak for borrowing total duration curve Value borrows total duration as recommendation；Second computing unit borrows total duration for the borrow moment and recommendation according to recommendation and calculates That recommends gives back the moment, and the handover moment includes borrowing the moment and giving back the moment.

In the technical scheme, moment analysis module, the second statistic unit and the second value list are further specifically defined Member predicts that the second computing unit is in conjunction with calculated based on borrow total duration of the use habit of different user to user The moment is borrowed, can calculate and give back the moment, be manually entered without user, to save the selection time of user.Specific calculating side Method is to borrow the moment along with recommendation borrow total duration is to give back the moment.

In any of the above-described technical solution, it is preferable that moment analysis module includes: the first analytical unit, is obtained for analyzing Region where the handover place of the current location and/or input handover information input frame that take joins information as region is recommended Including handover moment and handover place；First screening unit, for traversing whole transaction records, to select part transaction record, The handover place for the transaction record selected, which is located at, recommends in region；First recommendation unit, for analyzing the transaction record selected, with Obtain the handover moment of recommendation.

In the technical scheme, moment analysis module is specifically defined.Joining information includes joining moment and handover place, That is borrow side exchanges at the time of leasing article and place with lending side.When screening transaction record, the first analytical unit is with current position The handover place of point and/or input is reference, and using region where it as region is recommended, the first screening unit filters out recommendation again The transaction record generated in region, the first recommendation unit finally obtain the handover moment of recommendation from the part transaction record.By In in same region traffic conditions and user's use habit be closer to, filter out the part transaction record as the handover moment Basis is calculated, unrelated transaction is may filter that, improves the accuracy of recommendation, reduce user's modified probability manually, improve user Experience.

In any of the above-described technical solution, it is preferable that moment analysis module includes: the first judging unit, is obtained for judging Whether the handover place of the current location and/or input handover information input frame that take belongs to the service point of specific type, service point Also place is voluntarily taken for the user that service provider opens up, handover information includes handover moment and handover place；Second screening unit is used In when the current location of acquisition and/or input handover information input frame handover place belong to the service point of specific type when, time Whole transaction records are gone through, to select part transaction record, the handover place for the transaction record selected belongs to identical specific type Service point；Second recommendation unit, for analyzing the transaction record selected, to obtain the handover moment of recommendation.

In the technical scheme, another moment analysis module is specifically defined.Joining information includes handover moment and friendship Grounding point, i.e. borrow side are exchanged at the time of leasing article with lending side and place, wherein handover place is divided into delivery place kimonos Two kinds of business point, is directed to home delivery service and user's service of asking for respectively, the former can be any place that can theoretically reach, The latter is then opened up by service provider, and user can select on demand from multiple service points of setting.Handover place is divided into two classes, it can be with The different handover demands for meeting user are also convenient for service provider and provide corresponding service, improve user experience.Screen transaction record When, the first judging unit judges whether the place is special defects first using the handover place of current location and/or input as reference The service point of type, if so, the second screening unit filters out the transaction record in the service point generation of same type, second recommends Unit finally obtains the handover moment of recommendation from the part transaction record.Since the function of this kind of service point is special, therefore occur The transaction traded often with other places in same region in this has larger difference, filters out the part transaction record as friendship The calculating basis for connecing the moment, may filter that unrelated transaction, improves the accuracy of recommendation, reduce user's modified probability manually, mention High user experience.

In any of the above-described technical solution, it is preferable that analysis module includes: place analysis module, for analyzing current use The operation note at family, to obtain the handover place of recommendation, handover information includes handover place.

In the technical scheme, handover information includes handover place, i.e. borrow side exchanges the ground for leasing article with lending side Point.For handover place, since its versatility is low, place analysis module can make to recommend to tie based on the operation note of active user Fruit more meets individual demand, improves user experience.

In any of the above-described technical solution, it is preferable that place analysis module includes: setting unit, for pressing preset rules The weight in the handover place of operation note is set；Third recommendation unit, for going out the handover place recommended according to weight calculation.

In the technical scheme, place analysis module is specifically defined.Setting unit obtains the operation of active user first Record, and it is assigned to corresponding weight for these operation notes, third recommendation unit passes through the handover that weighted calculation obtains recommendation again Place has extremely strong personalization, improves the accuracy of recommendation results, reduce use for the use habit of single user The probability of family manual correction, improves user experience.

In any of the above-described technical solution, it is preferable that the analysis module of place further include: second judgment unit, for judging Whether operation note concentrates within a preset period of time；Setting unit specifically executes are as follows: when operation note concentrates on preset time period When interior, the weight of the operation note in preset time period is enabled to be higher than the weight of the operation note outside preset time period；When operation is remembered Record is when concentrating within a preset period of time, to all operationss record be arranged equal weight or by all operationss record temporally by Close to sort to remote, the weight that operation note is arranged is successively decreased.

In the technical scheme, place analysis module is defined.The Annual distribution of second judgment unit analysis operation note Situation shows the operation note reference price with higher in this segment set if operation note is concentrated within a preset period of time Value, its weight can be improved in setting unit, to improve the accuracy of recommendation.

In any of the above-described technical solution, it is preferable that the analysis module of place further include: second acquisition unit, for obtaining Current location and current time；Third judging unit, for judge input handover information input frame the borrow moment and it is current when It is poor whether the time difference at quarter is less than or equal to preset time, and handover information includes borrowing the moment；Third computing unit is borrowed for working as With the time difference at moment and current time be less than or equal to preset time difference when, calculate all operationss record borrow place with work as The distance in preceding place, handover information include borrowing place；Third filtering unit, for traversing all operationss record, to search out Distance is less than or equal to the operation note of pre-determined distance；Setting unit specifically executes are as follows: the operation note to searching out, from current Place is closer, and higher weight is arranged.

In the technical scheme, the weight Adjusted Option of place analysis module is specifically defined.Third judging unit compares The current time for borrowing moment and second acquisition unit acquisition of input, if third computing unit calculates close, the table of the two Bright user will borrow article, and second acquisition unit obtains the current location of user at this time, then borrow place selection in current position A possibility that near point, is very big, therefore third filtering unit filters out actual borrow place within the scope of current location certain distance Operation note, setting unit increases the weight of these operation notes, and closer to current location, weight is bigger, so as to Further increase the accuracy of recommendation.

In any of the above-described technical solution, it is preferable that place analysis module includes: the 4th recommendation unit, if for current User then obtains current location as the handover place recommended without operation note.

In the technical scheme, place analysis module is specifically defined for the user without operation note, such as new user Analytical plan.Corresponding this kind of user just will do it inquiry and place an order when often just being leased, thus join place just Nigh possibility is higher, improves the accuracy of recommendation.

In any of the above-described technical solution, it is preferable that further include: manual input module is handed over for being directed in response to user The input operation for connecing information input frame will join the content in information input frame and replace with the information that user is manually entered.

In the technical scheme, after the handover information for automatically entering recommendation, if detecting user for handover information input Frame has carried out input operation, then shows that the expectation of the content recommended and user are not inconsistent, manual input module can be according to user at this time Input content update handover information input frame in content, improve the flexibility of information input.

According to the third aspect of an embodiment of the present disclosure, it provides a kind of computer equipment, including memory, processor and deposits The computer program that can be run on a memory and on a processor is stored up, processor realizes such as above-mentioned when executing computer program The step of information processing method of smart machine is used for described in one technical solution.

The computer equipment that the embodiment of the present disclosure provides can realize any of the above-described skill when processor executes computer program It is used for the information processing method of smart machine described in art scheme, thus has described in any of the above-described technical solution for intelligence Whole technical effects of the information processing method of equipment, details are not described herein.

According to a fourth aspect of embodiments of the present disclosure, a kind of computer readable storage medium is provided, meter is stored thereon with Calculation machine program realizes the letter for smart machine as described in any of the above-described technical solution when computer program is executed by processor The step of ceasing processing method.

The computer readable storage medium that the embodiment of the present disclosure provides, can realize when computer program is executed by processor It is used for the information processing method of smart machine described in any of the above-described technical solution, thus has described in any of the above-described technical solution The information processing method for smart machine whole technical effects, details are not described herein.

The additional aspect and advantage of the embodiment of the present disclosure will be set forth in part in the description, and will partially retouch from following Become obvious in stating, or is recognized by the practice of the embodiment of the present disclosure.

Detailed description of the invention

The above-mentioned and/or additional aspect and advantage of the embodiment of the present disclosure are from the description of the embodiment in conjunction with the following figures It will be apparent and be readily appreciated that, in which:

Fig. 1 shows the information processing method for smart machine of one embodiment according to the embodiment of the present disclosure Schematic flow diagram；

Fig. 2 shows according to the information processing method for smart machine of second embodiment of the embodiment of the present disclosure Schematic flow diagram；

Fig. 3 shows the information processing method for smart machine of the third embodiment according to the embodiment of the present disclosure Schematic flow diagram；

Fig. 4 shows the information processing method for smart machine of the 4th embodiment according to the embodiment of the present disclosure Schematic flow diagram；

Fig. 5 shows the information processing method for smart machine of the 5th embodiment according to the embodiment of the present disclosure Schematic flow diagram；

Fig. 6 shows the information processing method for smart machine of the 6th embodiment according to the embodiment of the present disclosure Schematic flow diagram；

Fig. 7 shows the information processing method for smart machine of the 7th embodiment according to the embodiment of the present disclosure Schematic flow diagram；

Fig. 8 shows the information processing method for smart machine of the 8th embodiment according to the embodiment of the present disclosure Schematic flow diagram；

Fig. 9 shows the information processing method for smart machine of the 9th embodiment according to the embodiment of the present disclosure Schematic flow diagram；

Figure 10 shows the information processing method for smart machine of the tenth embodiment according to the embodiment of the present disclosure Schematic flow diagram；

Figure 11 shows the information processing system for smart machine of one embodiment according to the embodiment of the present disclosure Schematic block diagram；

Figure 12 shows the information processing system for smart machine of second embodiment according to the embodiment of the present disclosure Schematic block diagram；

Figure 13 shows the information processing system for smart machine of the third embodiment according to the embodiment of the present disclosure Schematic block diagram；

Figure 14 shows the information processing system for smart machine of the 4th embodiment according to the embodiment of the present disclosure Schematic block diagram；

Figure 15 shows the information processing system for smart machine of the 5th embodiment according to the embodiment of the present disclosure Schematic block diagram；

Figure 16 shows the information processing system for smart machine of the 6th embodiment according to the embodiment of the present disclosure Schematic block diagram；

Figure 17 shows the information processing systems for smart machine according to the 7th embodiment of the embodiment of the present disclosure Schematic block diagram；

Figure 18 shows the information processing system for smart machine of the 8th embodiment according to the embodiment of the present disclosure Schematic block diagram；

Figure 19 shows the information processing system for smart machine of the 9th embodiment according to the embodiment of the present disclosure Schematic block diagram；

Figure 20 shows the information processing system for smart machine of the tenth embodiment according to the embodiment of the present disclosure Schematic block diagram；

Figure 21 shows the information processing system for smart machine of the tenth one embodiment according to the embodiment of the present disclosure The schematic block diagram of system；

Figure 22 shows the information processing system for smart machine of the 12nd embodiment according to the embodiment of the present disclosure The schematic block diagram of system；

Figure 23 shows the structural schematic diagram of the computer equipment of one embodiment according to the embodiment of the present disclosure.

Specific embodiment

In order to be more clearly understood that the above objects, features, and advantages of the embodiment of the present disclosure, with reference to the accompanying drawing and The embodiment of the present disclosure is further described in detail in specific embodiment.It should be noted that in the absence of conflict, Feature in embodiments herein and embodiment can be combined with each other.

Many details are explained in the following description in order to fully understand the embodiment of the present disclosure, still, this public affairs Opening embodiment can also be implemented using other than the one described here other modes, therefore, the protection of the embodiment of the present disclosure Range is not limited by the specific embodiments disclosed below.

The embodiment of the first aspect of the embodiment of the present disclosure provides a kind of information processing method for smart machine, intelligence Energy equipment, which is equipped with, leases relevant application software to article.

Fig. 1 shows the information processing method for smart machine of one embodiment according to the embodiment of the present disclosure Schematic flow diagram.

As shown in Figure 1, according to the information processing method for smart machine of one embodiment of the embodiment of the present disclosure Include:

S12, the historical record of application software for XRF analysis, to obtain the handover information of recommendation；

S14, by the handover information input frame of the handover information input application software of recommendation.

The information processing method for smart machine that the embodiment of the present disclosure provides, can answer by big data analysis, collection The handover information with the historical record of software and analyzed user's use habit, and then article is recommended to lease, and automatically will handover letter Breath filling handover information input frame.Since the recommendation results accuracy based on big data is high, user frequently makes without being manually entered Used time more avoids and repeatedly inputs, to save the selection time of user, improves user experience.Specifically, the article leased For vehicle, leasing relevant application software to article is software of hiring a car, and handover place is to send pick-up place.

Fig. 2 shows according to the information processing method for smart machine of second embodiment of the embodiment of the present disclosure Schematic flow diagram.

As shown in Fig. 2, according to the information processing method for smart machine of the second of the embodiment of the present disclosure embodiment Include:

S22, the transaction record of application software for XRF analysis, to obtain the handover moment of recommendation, handover information includes the handover moment；

S24, by the handover information input frame of the handover information input application software of recommendation.

In this embodiment, handover information includes the handover moment, i.e., borrow side is exchanged with lending side at the time of lease article. It, can be based on the transaction record generated in application software, by public when analysis due to its versatility height for the handover moment Use habit is predicted that accuracy is high.Specifically, when the article leased be vehicle, lease relevant application software to article For hire a car software when, handover the moment be send pick up the car the moment.

Fig. 3 shows the information processing method for smart machine of the third embodiment according to the embodiment of the present disclosure Schematic flow diagram.

As shown in figure 3, according to the information processing method for smart machine of the third embodiment of the embodiment of the present disclosure Include:

S302, the transaction record of statistics application software generate the time difference curve at place an order moment and borrow moment；

S304 determines the peak value of time difference curve, as the recommendation time difference；

S306 obtains the start-up time of application software；

S308 according to start-up time and recommends the time difference to calculate the borrow moment recommended；

S310, the transaction record of statistics application software generate and borrow total duration curve；

S312 determines the peak value for borrowing total duration curve, borrows total duration as recommendation；

S314 gives back the moment according to what the borrow moment of recommendation and recommendation borrow total duration calculating were recommended；

S316, by the handover information input frame of the handover information input application software of recommendation, joining information includes when joining It carves, the handover moment includes borrowing the moment and giving back the moment.

In this embodiment, the method for obtaining the handover moment of recommendation is specifically defined.Before user places an order, pass through statistics Whole transaction records of application software for XRF analysis, can the use habit based on different user place an order the moment to borrowing the moment to user Time difference and borrow total duration are predicted, in conjunction with the start-up time of application software, when can calculate the borrow moment and give back It carves, is manually entered without user, to save the selection time of user.When for automobile leasing application software, specific calculating side Method is, based on the time difference under user in transaction records whole in application software when list and when pick-up, to generate a curve, determine The peak value of the time difference curve is as the time difference is recommended, for example, when 2.5h is the most common lower single at present and when the when of pick-up Between poor (general 1/3 user is such).Similarly, based in transaction records whole in application software user it is total with vehicle when It is long, it determines and use the peak value of vehicle total duration as recommendation with vehicle total duration (for example, 48h is the most common use vehicle total time).Again The time (i.e. the start-up time of application software) of application software is opened based on user, time difference, recommendation is recommended to use vehicle total duration (i.e. Recommend to borrow total duration), the time of picking up the car of sending of user is calculated, the start-up time of application software is to borrow plus the time difference is recommended Moment borrows the moment along with recommendation borrow total duration is to give back the moment.

Fig. 4 shows the information processing method for smart machine of the 4th embodiment according to the embodiment of the present disclosure Schematic flow diagram.

As shown in figure 4, according to the information processing method for smart machine of the 4th of the embodiment of the present disclosure the embodiment Include:

S402, it is special whether the handover place of the current location and/or input handover information input frame that judge acquisition belongs to The service point of type, service point are that the user that service provider opens up voluntarily takes also place, and handover information includes handover moment and handover Place, if so, S404 is gone to, if it is not, then going to S406；

S404 traverses whole transaction records, and to select part transaction record, the handover place for the transaction record selected belongs to The service point of identical specific type；

S406 analyzes the region where the current location of acquisition and/or the handover place of input handover information input frame, makees To recommend region, handover information includes handover moment and handover place；

S408 traverses whole transaction records, and to select part transaction record, the handover place for the transaction record selected is located at Recommend in region；

S410 analyzes the transaction record selected, to obtain the handover moment of recommendation；

S412, by the handover information input frame of the handover information input application software of recommendation.

In this embodiment, it specifically defines and filters out part transaction record from whole transaction records of application software Mode.Joining information includes handover moment and handover place, i.e. borrow side exchanges at the time of leasing article and place with lending side, Wherein handover place is divided into delivery place and two kinds of service point, is directed to home delivery service and user's service of asking for respectively, the former It can be any place that can theoretically reach, the latter is then opened up by service provider, and user can press from multiple service points of setting It needs to select.Handover place is divided into two classes, can satisfy the different handover demands of user, service provider is also convenient for and corresponding clothes is provided Business, improves user experience.It, can be using current location as reference, if if not yet input handover place when screening transaction record Input handover place, then the handover place that can be inputted be reference, first determine whether the place whether be specific type service point, Such as airport and hospital, if so, the transaction record in the service point generation of same type is filtered out, if it is not, then by the place Place region is as recommendation region, then filters out the transaction record for recommending to generate in region.Due to the service point function of specific type Can be special, therefore betiding transaction of this transaction often with other places in same region has larger difference, such as airport The time difference of service point, place an order moment and borrow moment is often larger, and it is often longer to borrow total duration, therefore as preferential sieve Select condition；Again due in same region traffic conditions and user's use habit be closer to, therefore when the handover place is not special When the service point of type, for example generic services point or delivery place, then the part transaction record is filtered out as the handover moment Basis is calculated, unrelated transaction is may filter that, improves the accuracy of recommendation, reduce user's modified probability manually, improve user Experience.Optionally, recommending region is to radiate one made of fixed range centered on the handover place of current location and/or input Panel region, or by region made of administrative division.

Fig. 5 shows the information processing method for smart machine of the 5th embodiment according to the embodiment of the present disclosure Schematic flow diagram.

As shown in figure 5, according to the information processing method for smart machine of the 5th of the embodiment of the present disclosure the embodiment Include:

S52 analyzes the operation note of active user, and to obtain the handover place of recommendation, handover information includes handover place；

S54, by the handover information input frame of the handover information input application software of recommendation.

In this embodiment, handover information includes handover place, i.e. borrow side exchanges the place for leasing article with lending side. For handover place, since its versatility is low, recommendation results can be made more to meet personalized need based on the operation note of active user It asks, improves user experience.Specifically, when the article leased is vehicle, it is soft to hire a car to lease relevant application software to article When part, the handover moment is to send pick-up place.

Fig. 6 shows the information processing method for smart machine of the 6th embodiment according to the embodiment of the present disclosure Schematic flow diagram.

As shown in fig. 6, according to the information processing method for smart machine of the 6th of the embodiment of the present disclosure the embodiment Include:

S62, by the weight in the handover place of preset rules setting operation note；

S64 goes out the handover place recommended according to weight calculation；

S66, by the handover information input frame of the handover information input application software of recommendation.

In this embodiment, the method for obtaining the handover place of recommendation is specifically defined.The complete of active user is obtained first Portion's operation note, and it is assigned to corresponding weight for these operation notes, the handover place of recommendation is obtained by weighted calculation, for The use habit of single user has extremely strong personalization, improves the accuracy of recommendation results, reduce user's manual correction Probability, improve user experience.Specifically, operation note includes lower unirecord and inquiry record, after placing an order but is cancelled an order Operation belong to inquiry record.Optionally, the weight that lower unirecord is arranged is greater than or equal to the weight of inquiry record；In the presence of When unirecord, lower unirecord is only analyzed, that is, the weight for inquiring record is 0.

Fig. 7 shows the information processing method for smart machine of the 7th embodiment according to the embodiment of the present disclosure Schematic flow diagram.

As shown in fig. 7, according to the information processing method for smart machine of the 7th of the embodiment of the present disclosure the embodiment Include:

S702 obtains the operation note of active user, calculates the operation note quantity in nearest one week and accounts for all operationss note The ratio k of record；

S704, judges whether ratio k meets k >=K, and K is preset ratio, if so, S706 is gone to, if it is not, then going to S708；

To the operation note in nearest one week temporally from the near to the distant, the weight gradually decreased is arranged, to other in S706 Equal weight is arranged in operation note；

Equal weight is arranged to all operationss record in S708；

S710 goes out the handover place recommended according to weight calculation；

S712, by the handover information input frame of the handover information input application software of recommendation.

In this embodiment, the rule of setting weight is specifically defined.The Annual distribution situation of operation note is analyzed first, If operation note is concentrated within a preset period of time, show the operation note reference value with higher in this segment set, it can Its weight is improved, to improve the accuracy of recommendation.Optionally, preset time period is recent a period of time, such as nearest one The moon is one week nearest, can calculate the ratio k that the operation note quantity in preset time period accounts for all operationss record, if ratio k is super Cross preset value K, then it is assumed that operation note is concentrated within a preset period of time, wherein calculate difference when borrowing place and giving back place Be subject to operation note the borrow moment and give back the moment, operation note be inquiry record when, the moment be inquiry the moment.S706 In, to the weight of the operation note other than preset time period, it is illustrated with the weight for being arranged equal, may be alternatively provided as the time Closer, weight is higher；When operation note is without integrated distribution within a preset period of time, S708 is to set all operationss record It sets equal weight to be illustrated, operations can also be recorded according to time sequence, the weight highest of newest operation note, Other operation notes are gradually successively decreased, and above is all the embodiment of the embodiment of the present disclosure, these implementations and other can realize Mode it would have been obvious for a person skilled in the art.

Fig. 8 shows the information processing method for smart machine of the 8th embodiment according to the embodiment of the present disclosure Schematic flow diagram.

As shown in figure 8, according to the information processing method for smart machine of the 8th of the embodiment of the present disclosure the embodiment Include:

S802 obtains current location and current time；

Whether the time difference of S804, the borrow moment and current time that judge input handover information input frame are less than or equal to Preset time is poor, and handover information includes borrowing the moment, if so, S806 is gone to, if it is not, then going to S812；

S806 calculates the borrow place of all operationss record at a distance from current location, and handover information includes borrowing place；

S808, traversal all operationss record, to search out the operation note that distance is less than or equal to pre-determined distance；

S810, the operation note to searching out is closer from current location, and higher weight is arranged, and remembers to other operations Record, is arranged equal weight；

S812, by the weight in the handover place of the operation note of preset rules setting active user；

S814 goes out the handover place recommended according to weight calculation；

S816, by the handover information input frame of the handover information input application software of recommendation.

In this embodiment, a kind of adjustment rule of weight is specifically defined.Compare input the borrow moment and it is current when It carves, if the two is close, shows that user will use vehicle, obtain the current location of user at this time, then borrow place selection current A possibility that near place, is very big, therefore filters out operation note of the actual borrow place within the scope of current location certain distance Record, increases the weight of these operation notes, and closer to current location, weight is bigger, to can further improve recommendation Accuracy.Specifically, since this rule is only applicable to borrow the selection in place, user also may be selected to enable and give back place and borrow ground Point is identical, reduces the manual input operation given back when place is not inconsistent with user demand in recommendation.In S810, to other operations The weight of record is illustrated with the weight for being arranged equal, may be alternatively provided as closer from current location, and weight is higher, also To may be configured as this rule be the fine tuning on the rule-based approach of the 7th embodiment of the embodiment of the present disclosure, i.e., only to filtering out The weight of operation note is adjusted, other weights remain unchanged, this is equally the embodiment of the embodiment of the present disclosure, these realities It would have been obvious for a person skilled in the art for existing mode and other achievable modes.

Fig. 9 shows the information processing method for smart machine of the 9th embodiment according to the embodiment of the present disclosure Schematic flow diagram.

As shown in figure 9, according to the information processing method for smart machine of the 9th of the embodiment of the present disclosure the embodiment Include:

S92, if active user obtains current location as the handover place recommended without operation note；

S94, by the handover information input frame of the handover information input application software of recommendation.

In this embodiment, it specifically defines for the user without operation note, such as new user, with obtaining the handover of recommendation The method of point.Corresponding this kind of user just will do it inquiry and place an order when often just being leased, thus join place just Nigh possibility is higher, improves the accuracy of recommendation.This, which is sentenced, directly acquires current location as the handover recommended It is illustrated for point, the handover of service point around current location within the scope of certain distance as recommendation can also be obtained Point, this is equally the embodiment of the embodiment of the present disclosure, these implementations and other achievable modes are for this field skill It is obvious for art personnel.

Figure 10 shows the information processing method for smart machine of the tenth embodiment according to the embodiment of the present disclosure Schematic flow diagram.

As shown in Figure 10, according to the information processing method for smart machine of the tenth of the embodiment of the present disclosure the embodiment Include:

S102, the historical record of application software for XRF analysis, to obtain the handover information of recommendation；

S104, by the handover information input frame of the handover information input application software of recommendation；

S106 operates for the input of handover information input frame in response to user, will join the content in information input frame Replace with the information that user is manually entered.

In this embodiment, after the handover information for automatically entering recommendation, if detecting user for handover information input frame Input operation has been carried out, then has shown that the expectation of the content recommended and user are not inconsistent, can be updated at this time according to the input content of user Join the content in information input frame, improves the flexibility of information input.

The embodiment of embodiment of the present disclosure second aspect provides a kind of information processing system for smart machine, intelligence Equipment, which is equipped with, leases relevant application software to article.

Figure 11 shows the information processing system for smart machine of one embodiment according to the embodiment of the present disclosure Schematic block diagram.

As shown in figure 11, according to the information processing system for smart machine of one embodiment of the embodiment of the present disclosure 10 include:

Analysis module 12, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation；

Input module 14, the handover information input frame of the handover information input application software for that will recommend.

The information processing system for smart machine that the embodiment of the present disclosure provides, analysis module 12 can be by big datas point Analysis, collects the historical record of application software and analyzes user's use habit, and then the handover information for recommending article to lease, and by defeated Entering module 14 automatically will handover information filling handover information input frame.Since the recommendation results accuracy based on big data is high, use Family more avoids when frequently using and repeatedly inputs, to save the selection time of user, improve user's body without being manually entered It tests.Specifically, the article leased is vehicle, and leasing relevant application software to article is software of hiring a car.

Figure 12 shows the information processing system for smart machine of second embodiment according to the embodiment of the present disclosure Schematic block diagram.

As shown in figure 12, according to the information processing system for smart machine of the second of the embodiment of the present disclosure embodiment 20 include:

Analysis module 22, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation, analysis module 22 Include: moment analysis module 24, for the transaction record of application software for XRF analysis, to obtain the handover moment of recommendation, joins information Including joining the moment；

Input module 26, the handover information input frame of the handover information input application software for that will recommend.

In this embodiment, handover information includes the handover moment, i.e., borrow side is exchanged with lending side at the time of lease article. It, can be based on the transaction note generated in application software when moment analysis module 24 is analyzed due to its versatility height for the handover moment Record, to be predicted by public use habit, accuracy is high.Specifically, when the article leased be vehicle, leased with article Relevant application software is when hiring a car software, and the handover moment is to send the moment of picking up the car.

Figure 13 shows the information processing system for smart machine of the third embodiment according to the embodiment of the present disclosure Schematic block diagram.

As shown in figure 13, according to the information processing system for smart machine of the third embodiment of the embodiment of the present disclosure 30 include:

Analysis module 302, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation, analysis module 302 include: moment analysis module 304, for the transaction record of application software for XRF analysis, to obtain the handover moment of recommendation, and handover Information includes the handover moment, and moment analysis module 304 includes: the first statistic unit 306, and the transaction for statistics application software is remembered Record generates the time difference curve at place an order moment and borrow moment, and the handover moment includes borrowing the moment；First value unit 308 is used In the peak value for determining time difference curve, as the recommendation time difference；First acquisition unit 310, for obtaining the unlatching of application software Moment；First computing unit 312, for according to start-up time and the borrow moment for recommending time difference calculating to recommend；

Input module 314, the handover information input frame of the handover information input application software for that will recommend.

In this embodiment, moment analysis module 304 is specifically defined.Before user places an order, 306 He of the first statistic unit First value unit 308 by statistical analysis application software transaction record, can the use habit based on different user to user Moment to time difference for borrowing the moment that places an order is predicted that the application software got in conjunction with first acquisition unit 310 is opened It opens the moment, the first computing unit 312, which can calculate, borrows the moment, is manually entered without user, thus when saving the selection of user Between.When for automobile leasing application software, specific calculating process is that the first statistic unit 306 is based on application software transaction record Time difference when single under middle user and when picking up the car, a curve is generated, the first value unit 308 determines the peak of the time difference curve Value is as the time difference is recommended, for example, (having general 1/3 with time difference when picking up the car when 2.5h is the most common lower single at present User is such), the user that the first computing unit 312 again gets first acquisition unit 310 open application software when Between (i.e. the start-up time of application software) plus recommend the time difference, that is, calculate user the borrow moment.

Figure 14 shows the information processing system for smart machine of the 4th embodiment according to the embodiment of the present disclosure Schematic block diagram.

As shown in figure 14, according to the information processing system for smart machine of the 4th of the embodiment of the present disclosure the embodiment 40 include:

Analysis module 402, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation, analysis module 402 include: moment analysis module 404, for the transaction record of application software for XRF analysis, to obtain the handover moment of recommendation, and handover Information includes the handover moment, and moment analysis module 404 includes: the first statistic unit 406, and the transaction for statistics application software is remembered Record generates the time difference curve at place an order moment and borrow moment, and the handover moment includes borrowing the moment；First value unit 408 is used In the peak value for determining time difference curve, as the recommendation time difference；First acquisition unit 410, for obtaining the unlatching of application software Moment；First computing unit 412, for according to start-up time and the borrow moment for recommending time difference calculating to recommend；Second statistics Unit 414 generates for the transaction record of statistics application software and borrows total duration curve；Second value unit 416, for true Surely the peak value for borrowing total duration curve borrows total duration as recommendation；Second computing unit 418, for the borrow according to recommendation Moment and recommendation borrow total duration and calculate giving back the moment for recommendation, and the handover moment is including borrowing the moment and giving back the moment；

Input module 420, the handover information input frame of the handover information input application software for that will recommend.

In this embodiment, moment analysis module 404 is further specifically defined, the second statistic unit 414 and second take Value cell 416 predicts that the second computing unit 418 is tied again based on borrow total duration of the use habit of different user to user The calculated borrow moment is closed, can calculate and give back the moment, be manually entered without user, to save the selection time of user. When for automobile leasing application software, specific calculating process is the application software transaction counted based on the second statistic unit 414 The use vehicle total duration of user, the determination of the second value unit 416 use the peak value of vehicle total duration as recommendation vehicle total duration in record (for example, 48h be it is the most common use vehicle total time), the second computing unit 418 again will borrow the moment plus recommendation vehicle it is total when It is long, that is, it calculates to give back the moment.

Figure 15 shows the information processing system for smart machine of the 5th embodiment according to the embodiment of the present disclosure Schematic block diagram.

As shown in figure 15, according to the information processing system for smart machine of the 5th of the embodiment of the present disclosure the embodiment 50 include:

Analysis module 502, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation, analysis module 502 include: moment analysis module 504, for the transaction record of application software for XRF analysis, to obtain the handover moment of recommendation, and handover Information includes the handover moment, and moment analysis module 504 includes: the first analytical unit 506, for analyzing the current location obtained And/or the region where the handover place of input handover information input frame, as region is recommended, handover information includes the handover moment With handover place；First screening unit 508, for traversing whole transaction records, to select part transaction record, the transaction selected The handover place of record, which is located at, recommends in region；First recommendation unit 510 is pushed away for analyzing the transaction record selected with obtaining The handover moment recommended；

Input module 512, the handover information input frame of the handover information input application software for that will recommend.

In this embodiment, a kind of moment analysis module 504 is specifically defined.Joining information includes handover moment and handover Place, i.e. borrow side are exchanged at the time of leasing article with lending side and place.When screening transaction record, if not yet input handover ground Point, then the first analytical unit 506 can be using current location as reference, if having inputted handover place, the first analytical unit 506 can be with The handover place of input is reference, and using region where the place as region is recommended, the first screening unit 508 filters out recommendation again The transaction record generated in region, the first recommendation unit 510 finally obtain the handover moment of recommendation from the part transaction record. Due in same region traffic conditions and user's use habit be closer to, filter out the part transaction record as handover the moment Calculating basis, may filter that unrelated transaction, improve the accuracy of recommendation, reduce user's modified probability manually, improve use Family experience.

Figure 16 shows the information processing system for smart machine of the 6th embodiment according to the embodiment of the present disclosure Schematic block diagram.

As shown in figure 16, according to the information processing system for smart machine of the 6th of the embodiment of the present disclosure the embodiment 60 include:

Analysis module 602, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation, analysis module 602 include: moment analysis module 604, for the transaction record of application software for XRF analysis, to obtain the handover moment of recommendation, and handover Information includes the handover moment, and moment analysis module 604 includes: the first judging unit 606, the current location for judging to obtain And/or whether the handover place of input handover information input frame belongs to the service point of specific type, service point opens up for service provider User voluntarily take also place, handover information include handover the moment and handover place；Second screening unit 608, for when acquisition Current location and/or input handover information input frame handover place when belonging to the service point of specific type, traversal all friendships Easily record, to select part transaction record, the handover place for the transaction record selected belongs to the service point of identical specific type； Second recommendation unit 610, for analyzing the transaction record selected, to obtain the handover moment of recommendation；

Input module 612, the handover information input frame of the handover information input application software for that will recommend.

In this embodiment, another moment analysis module 604 is specifically defined.Joining information includes handover moment and friendship Grounding point, i.e. borrow side are exchanged at the time of leasing article with lending side and place, wherein handover place is divided into delivery place kimonos Two kinds of business point, is directed to home delivery service and user's service of asking for respectively, the former can be any place that can theoretically reach, The latter is then opened up by service provider, and user can select on demand from multiple service points of setting.Handover place is divided into two classes, it can be with The different handover demands for meeting user are also convenient for service provider and provide corresponding service, improve user experience.Screen transaction record When, the first judging unit 606 judges whether the place is special first using the handover place of current location and/or input as reference The service point of different type, such as airport and hospital, if so, the second screening unit 608 filters out the service point production in same type Raw transaction record, the second recommendation unit 610 finally obtain the handover moment of recommendation from the part transaction record.Due to this kind of The function of service point is special, therefore betiding transaction of this transaction often with other places in same region has larger difference, example Such as airport service point, place an order moment and to borrow the time difference at moment often larger, and it is often longer to borrow total duration, filters out Calculating basis of the part transaction record as the handover moment, may filter that unrelated transaction, improves the accuracy of recommendation, reduce use The probability of family manual correction, improves user experience.

Figure 17 shows the information processing systems for smart machine according to the 7th embodiment of the embodiment of the present disclosure Schematic block diagram.

As shown in figure 17, according to the information processing system for smart machine of the 7th of the embodiment of the present disclosure the embodiment 70 include:

Analysis module 72, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation, analysis module 72 Include: place analysis module 74, for analyzing the operation note of active user, to obtain the handover place of recommendation, joins information Including joining place；

Input module 76, the handover information input frame of the handover information input application software for that will recommend.

In this embodiment, handover information includes handover place, i.e. borrow side exchanges the place for leasing article with lending side. For handover place, since its versatility is low, place analysis module 74 can make recommendation results based on the operation note of active user More meet individual demand, improves user experience.Specifically, when the article leased be vehicle, lease relevant answer to article It is when hiring a car software with software, the handover moment is to send pick-up place.

Figure 18 shows the information processing system for smart machine of the 8th embodiment according to the embodiment of the present disclosure Schematic block diagram.

As shown in figure 18, according to the information processing system for smart machine of the 8th of the embodiment of the present disclosure the embodiment 80 include:

Analysis module 802, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation, analysis module 802 include: place analysis module 804, for analyzing the operation note of active user, to obtain the handover place of recommendation, and handover Information includes handover place, and place analysis module 804 includes: setting unit 806, for by preset rules setting operation note Join the weight in place；Third recommendation unit 808, for going out the handover place recommended according to weight calculation；

Input module 810, the handover information input frame of the handover information input application software for that will recommend.

In this embodiment, place analysis module 804 is specifically defined.Setting unit 806 obtains active user's first Operation note, and it is assigned to corresponding weight for these operation notes, third recommendation unit 808 obtains recommendation by weighted calculation again Handover place there is extremely strong personalization, improve the accuracy of recommendation results for the use habit of single user, drop Low user modified probability manually, improves user experience.Specifically, operation note includes that lower unirecord and inquiry record, After placing an order but the operation cancelled an order belongs to inquiry record.Optionally, the weight that lower unirecord is arranged is greater than or equal to inquiry note The weight of record；In the presence of when unirecord, lower unirecord is only analyzed, that is, the weight for inquiring record is 0.

Figure 19 shows the information processing system for smart machine of the 9th embodiment according to the embodiment of the present disclosure Schematic block diagram.

As shown in figure 19, according to the information processing system for smart machine of the 9th of the embodiment of the present disclosure the embodiment 90 include:

Analysis module 902, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation, analysis module 902 include: place analysis module 904, for analyzing the operation note of active user, to obtain the handover place of recommendation, and handover Information includes handover place, and place analysis module 904 includes: second judgment unit 906, for judging whether operation note concentrates Within a preset period of time；Setting unit 908, for the weight in the handover place by preset rules setting operation note, setting is single Member 908 specifically executes are as follows: when operation note is concentrated within a preset period of time, enables the weight of the operation note in preset time period The weight of operation note outside higher than preset time period；When operation note is not concentrated within a preset period of time, to all operationss Record is arranged equal weight or all operationss record temporally sorts from the near to the remote, and the weight that operation note is arranged is successively decreased； Third recommendation unit 910, for going out the handover place recommended according to weight calculation；

Input module 912, the handover information input frame of the handover information input application software for that will recommend.

In the embodiment, place analysis module 904 is specifically defined.Second judgment unit 906 analyze operation note when Between distribution situation, if operation note concentrate within a preset period of time, show that the operation note in this segment set is with higher Its weight can be improved in reference value, setting unit 908, to improve the accuracy of recommendation.Optionally, preset time period is recent A period of time, such as nearest one month or one week nearest, the operation note quantity that can be calculated in preset time period accounts for all operationss The ratio of record, if ratio is more than preset value, then it is assumed that operation note is concentrated within a preset period of time, wherein calculate handover ground Borrow place in point and while giving back place be subject to respectively operation note the borrow moment and give back the moment, operation note is to look into When consultation record, the moment is the inquiry moment.To the weight of the operation note other than preset time period, settable equal weight, It may be alternatively provided as that the time is closer, and weight is higher；When operation note is without integrated distribution within a preset period of time, setting unit 908 can record the equal weight of setting to all operationss, and operations can also be recorded to according to time sequence newest operation note Weight highest, other operation notes gradually successively decrease.

Figure 20 shows the information processing system for smart machine of the tenth embodiment according to the embodiment of the present disclosure Schematic block diagram.

As shown in figure 20, according to the information processing system for smart machine of the tenth of the embodiment of the present disclosure the embodiment 100 include:

Analysis module 102, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation, analysis module 102 include: place analysis module 104, for analyzing the operation note of active user, to obtain the handover place of recommendation, and handover Information include handover place, place analysis module 104 includes: second acquisition unit 106, for obtain current location and it is current when It carves；Third judging unit 108, for judge input handover information input frame the time difference for borrowing moment and current time whether Poor less than or equal to preset time, handover information includes borrowing the moment；Third computing unit 110, for working as the borrow moment and working as When the time difference at preceding moment is less than or equal to preset time difference, calculate all operationss record borrow place and current location away from From handover information includes borrowing place；Third filtering unit 112 is less than for traversing all operationss record with searching out distance Or the operation note equal to pre-determined distance；Setting unit 114, the power for the handover place by preset rules setting operation note Weight, setting unit 114 specifically execute are as follows: the operation note to searching out, it is closer from current location, and higher weight is set； Third recommendation unit 116, for going out the handover place recommended according to weight calculation；

Input module 118, the handover information input frame of the handover information input application software for that will recommend.

In this embodiment, the weight Adjusted Option of place analysis module 104 is specifically limited.Third judging unit 108 compares Compared with the current time for borrowing moment and the acquisition of second acquisition unit 106 of input, if third computing unit 110 calculates the two and leans on Closely, then show that user will use vehicle, second acquisition unit 106 obtains the current location of user at this time, then borrows place selection and exist A possibility that near current location, is very big, therefore to filter out actual borrow place certain in current location for third filtering unit 112 Operation note in distance range, setting unit 114 increase the weight of these operation notes, and closer to current location, power It is again bigger, to can further improve the accuracy of recommendation.Specifically, since this rule is only applicable to borrow the selection in place, User, which also may be selected to enable, gives back that place is identical as place is borrowed, and reduces giving back when place and user demand are not inconsistent in recommendation Manual input operation.To the weight of other operation notes, settable equal weight be may be alternatively provided as closer from current location , weight is higher, and the weight Adjusted Option that may also be configured to place analysis module 104 is the 9th reality in the embodiment of the present disclosure The fine tuning on the basis of the place analysis module 904 of example is applied, i.e., only the weight of the operation note filtered out is adjusted, other power Remain unchanged again, this be equally the embodiment of the embodiment of the present disclosure, these implementations and other achievable modes for It is obvious for those skilled in the art.

Figure 21 shows the information processing system for smart machine of the tenth one embodiment according to the embodiment of the present disclosure The schematic block diagram of system.

As shown in figure 21, according to the information processing system for smart machine of the tenth one embodiment of the embodiment of the present disclosure System 110 includes:

Analysis module 1102, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation, analysis module 1102 include: place analysis module 1104, for analyzing the operation note of active user, to obtain the handover place of recommendation, is handed over Connecing information includes handover place；Place analysis module 1104 includes: the 4th recommendation unit 1106, if for active user without operation Record then obtains current location as the handover place recommended；

Input module 1108, the handover information input frame of the handover information input application software for that will recommend.

In this embodiment, specifically define place analysis module 1104 for the user without operation note, such as new user Analytical plan.Corresponding this kind of user just will do it inquiry and place an order when often just being leased, thus join place It is higher with regard to nigh possibility, improve the accuracy of recommendation.The 4th recommendation unit 1106 is herein to directly acquire current position Point can also obtain the service point around current location within the scope of certain distance as being illustrated for the handover place recommended As the handover place of recommendation, this is equally the embodiment of the embodiment of the present disclosure, these implementations and other are achievable It would have been obvious for a person skilled in the art for mode.

Figure 22 shows the information processing system for smart machine of one embodiment according to the embodiment of the present disclosure Schematic block diagram.

As shown in figure 22, according to the information processing system for smart machine of one embodiment of the embodiment of the present disclosure 120 include:

Analysis module 122, for the historical record of application software for XRF analysis, to obtain the handover information of recommendation；

Input module 124, the handover information input frame of the handover information input application software for that will recommend；

Manual input module 126 will join information for operating in response to user for the input of handover information input frame Content in input frame replaces with the information that user is manually entered.

In this embodiment, after the handover information for automatically entering recommendation, if detecting user for handover information input frame Input operation has been carried out, then has shown that the expectation of the content recommended and user are not inconsistent, manual input module 126 can be according to user at this time Input content update handover information input frame in content, improve the flexibility of information input.Specifically, input module 124 and manual input module 126 be same input module.

The embodiment of the embodiment of the present disclosure third aspect provides a kind of computer equipment.Figure 23 is shown according to the disclosure The structural schematic diagram of the computer equipment of one embodiment of embodiment.

As shown in figure 23, according to the computer equipment 13 of one embodiment of the embodiment of the present disclosure include: memory 132, Processor 134 and it is stored in the computer program that can be run on memory 132 and on processor 134, processor 134 executes meter The step of information processing method for smart machine as described in above-mentioned any embodiment is realized when calculation machine program.

The computer equipment 13 that the embodiment of the present disclosure provides can be realized above-mentioned when processor 134 executes computer program It is used for the information processing method of smart machine described in any technical solution, thus has use described in any of the above-described technical solution In whole technical effects of the information processing method of smart machine, details are not described herein.

The embodiment of embodiment of the present disclosure fourth aspect provides a kind of computer readable storage medium, is stored thereon with meter Calculation machine program realizes the information for smart machine as described in above-mentioned any embodiment when computer program is executed by processor The step of processing method.

The technical solution of the embodiment of the present disclosure is had been described in detail above with reference to the accompanying drawings, the embodiment of the present disclosure provides a kind of rent Time of using cars of vehicle software and that send pick-up place automatically enter scheme, by way of big data, the use for collecting user is practised Used and order statistical information, Mobile state of going forward side by side calculate, and can be counted before user places an order based on different user use habit and order Information, the time difference to place an order when with vehicle to user predict, can also use habit and order system based on same user Information is counted, send pick-up place to predict user, to save the selection time of user.

When calculating the time of using cars, based on it is under user in transaction record all or part of on software of hiring a car single when with when picking up the car Time difference generates a curve, determines the peak value of the time difference curve as the time difference is recommended, similarly, based on hiring a car on software User uses vehicle total duration in all or part of transaction record, determines the peak value for using vehicle total duration, as recommendation vehicle total duration, Both gather again and user opens can calculate the time of using cars at the time of hiring a car software.

When calculating handover place, based on the use habit for the specific user for opening software of hiring a car, user whole is obtained Join the record in place.If there is history to place an order, that is, pass by successfully to place an order, then according to time sequence by every transaction record.According to most New historical record weight highest, according to time-sequencing, the equal rule of the rule or remaining historical record weight that weight is gradually successively decreased Then, handover place is calculated.For example, pressing newest historical record weight accounting 40%, the historical record weight accounting 20% taken second place With 10%, the equal rule of the weight of remaining historical record calculates handover place.Weight can be carried out according to the accuracy of address Dynamic adjusts.If passing by the user for not placing an order successfully but wanting to place an order without History Order, there is inquiry to record, i.e. search note The record recorded or cancelled after placing an order then according to time sequence by items inquiry record records weight highest according to newest inquiry, according to Time-sequencing, the equal rule of the rule or remaining inquiry record weight that weight is gradually successively decreased, calculates handover place.For example, most Close inquiry records weight accounting 40%, the inquiry record weight accounting 20% and 10% taken second place, the weight of residue inquiry record Equal rule calculates handover place.Weight can carry out dynamic adjustment according to the accuracy of address.If no place inquiry record, Such as completely new user, then handover place is obtained according to current position location.

According to the scheme that the embodiment of the present disclosure provides, handover moment and/or handover ground can be shown automatically in software end of hiring a car Point, is manually entered without user.The raw information of time or location information has existed lane database, hires a car when user opens Simultaneously Auto-writing when and where will be calculated while software.After address has been changed, preferred address may be not allowed, and use at this time As soon as family can newly fill out an address, new preferred address is generated according to address newest and before when next time recommends.

The foregoing is merely the preferred embodiments of the embodiment of the present disclosure, are not limited to the embodiment of the present disclosure, right For those skilled in the art, the embodiment of the present disclosure can have various modifications and variations.All essences in the embodiment of the present disclosure Within mind and principle, any modification, equivalent replacement, improvement and so on should be included in the protection scope of the embodiment of the present disclosure Within.

Claims

1. a kind of information processing method for smart machine, the smart machine is equipped with that lease relevant application to article soft Part characterized by comprising

The historical record of the application software is analyzed, to obtain the handover information of recommendation；

The handover information input frame of application software described in the handover information input by recommendation.

2. the information processing method according to claim 1 for smart machine, which is characterized in that answered described in the analysis With the historical record of software, the step of handover information to obtain recommendation, includes:

The transaction record of the application software is analyzed, to obtain the handover moment of recommendation, the handover information includes the handover Moment.

3. the information processing method according to claim 2 for smart machine, which is characterized in that answered described in the analysis With the transaction record of software, to show that the operation at the handover moment of recommendation includes:

It counts the transaction record of the application software, generates and place an order the moment and borrow the time difference curve at moment, when the handover Carving includes the borrow moment；

The peak value for determining the time difference curve, as the recommendation time difference；

Obtain the start-up time of the application software；

According to the start-up time and the borrow moment for recommending the time difference to calculate recommendation.

4. the information processing method according to claim 3 for smart machine, which is characterized in that answered described in the analysis With the transaction record of software, to obtain the operation at the handover moment of recommendation further include:

The transaction record of the application software is counted, generates and borrows total duration curve；

It determines the peak value for borrowing total duration curve, borrows total duration as recommendation；

Total duration, which is borrowed, according to the borrow moment of recommendation and the recommendation calculates giving back the moment for recommendation, the handover moment Including the borrow moment and described give back the moment.

5. the information processing method according to any one of claim 2 to 4 for smart machine, which is characterized in that institute The transaction record for analyzing the application software is stated, to show that the operation at the handover moment of recommendation includes:

The region where the handover place of the current location obtained and/or the input handover information input frame is analyzed, as pushing away Region is recommended, the handover information includes the handover moment and the handover place；

The whole transaction records of traversal, to select the part transaction record, the handover for the transaction record selected Place is located in the recommendation region；

The transaction record selected is analyzed, to obtain the handover moment of recommendation.

6. the information processing method according to any one of claim 2 to 4 for smart machine, which is characterized in that institute The transaction record for analyzing the application software is stated, to show that the operation at the handover moment of recommendation includes:

Judge whether the current location obtained and/or the handover place of the input handover information input frame belong to specific type Service point, the service point are that the user that service provider opens up voluntarily takes also place, and the handover information includes the handover moment With the handover place；

When the handover place of the current location of acquisition and/or the input handover information input frame belongs to the specific type The service point when, the whole transaction records of traversal, to select the part transaction record, the transaction record selected The handover place belong to the service point of the identical specific type；

7. the information processing method according to claim 1 for smart machine, which is characterized in that answered described in the analysis With the historical record of software, the step of handover information to obtain recommendation, includes:

The operation note of active user is analyzed, to obtain the handover place of recommendation, the handover information includes the handover place.

8. the information processing method according to claim 7 for smart machine, which is characterized in that the analysis is current to be used The operation note at family, to show that the operation in the handover place of recommendation includes:

The weight in the handover place of the operation note is set by preset rules；

Go out the handover place recommended according to the weight calculation.

9. the information processing method according to claim 8 for smart machine, which is characterized in that

Before the operation of the weight in the handover place that the operation note is set by preset rules, further includes:

Judge whether the operation note concentrates within a preset period of time；

The operation of the weight in the handover place that the operation note is arranged by preset rules specifically executes are as follows:

When the operation note concentrates in the preset time period, the operation note in the preset time period is enabled The weight is higher than the weight of the operation note outside the preset time period；

When the operation note does not concentrate in the preset time period, to all operation notes be arranged it is equal described in Weight temporally sorts all operation notes from the near to the remote, and the weight that the operation note is arranged is successively decreased.

10. the information processing method according to claim 8 for smart machine, which is characterized in that described by default Before the operation of the weight in the handover place of operation note described in rule setting, further includes:

Obtain current location and current time；

Judge whether the borrow moment for inputting the handover information input frame and the time difference at the current time are less than or equal to Preset time is poor, and the handover information includes the borrow moment；

When the time difference at the borrow moment and the current time being less than or equal to preset time difference, all behaviour is calculated At a distance from the current location, the handover information includes the borrow place in the borrow place noted down；

Traversal all operation notes, to search out the operation note that the distance is less than or equal to pre-determined distance；

The operation note to searching out, it is closer from the current location, the higher weight is set.

11. the information processing method according to claim 7 for smart machine, which is characterized in that the analysis is current The operation note of user, to show that the operation in the handover place of recommendation includes:

If active user obtains current location as the handover place recommended without the operation note.

12. the information processing method according to any one of claim 1 to 11 for smart machine, which is characterized in that After the step of handover information input frame of the application software described in the handover information input by recommendation, further includes:

In response to user for the input operation of the handover information input frame, the content in the handover information input frame is replaced It is changed to the information that user is manually entered.

13. a kind of information processing method for smart machine, the smart machine, which is equipped with, leases relevant application to article Software characterized by comprising

Analysis module, for analyzing the historical record of the application software, to obtain the handover information of recommendation；

Input module, the handover information input frame of application software described in the handover information input for that will recommend.

14. the information processing method according to claim 13 for smart machine, which is characterized in that the analysis module Include:

Moment analysis module, for analyzing the transaction record of the application software, to obtain the handover moment of recommendation, the handover Information includes the handover moment.

15. the information processing method according to claim 14 for smart machine, which is characterized in that the moment analysis Module includes:

First statistic unit generates the time at place an order moment and borrow moment for counting the transaction record of the application software Poor curve, the handover moment include the borrow moment；

First value unit, for determining the peak value of the time difference curve, as the recommendation time difference；

First acquisition unit, for obtaining the start-up time of the application software；

First computing unit, for according to the start-up time and the borrow moment for recommending the time difference to calculate recommendation.

16. the information processing method according to claim 15 for smart machine, which is characterized in that the moment analysis Module further include:

Second statistic unit generates for counting the transaction record of the application software and borrows total duration curve；

Second value unit borrows total duration as recommendation for determining the peak value for borrowing total duration curve；

Second computing unit borrows total duration for the borrow moment and the recommendation according to recommendation and calculates giving back for recommendation Moment, the handover moment include the borrow moment and described give back the moment.

17. the information processing method of smart machine is used for described in any one of 4 to 16 according to claim 1, which is characterized in that The moment analysis module includes:

First analytical unit, for analyzing the handover place of the current location obtained and/or the input handover information input frame The region at place, as region is recommended, the handover information includes the handover moment and the handover place；

First screening unit, for traversing all transaction records, to select the part transaction record, the friendship selected The handover place easily recorded is located in the recommendation region；

First recommendation unit, for analyzing the transaction record selected, to obtain the handover moment of recommendation.

18. the information processing method of smart machine is used for described in any one of 4 to 16 according to claim 1, which is characterized in that The moment analysis module includes:

First judging unit, the handover place of current location and/or input the handover information input frame for judging to obtain Whether the service point of specific type is belonged to, and the service point is that the user that service provider opens up voluntarily takes also place, the handover letter Breath includes the handover moment and the handover place；

Second screening unit, for the handover when the current location obtained and/or the input handover information input frame When point belongs to the service point of the specific type, the whole transaction records of traversal, to select the part transaction record, The handover place for the transaction record selected belongs to the service point of the identical specific type；

Second recommendation unit, for analyzing the transaction record selected, to obtain the handover moment of recommendation.

19. the information processing method according to claim 13 for smart machine, which is characterized in that the analysis module Include:

Place analysis module, for analyzing the operation note of active user, to obtain the handover place of recommendation, the handover information Including the handover place.

20. the information processing method according to claim 19 for smart machine, which is characterized in that described ground point analysis Module includes:

Setting unit, the weight in the handover place for the operation note to be arranged by preset rules；

Third recommendation unit, for going out the handover place recommended according to the weight calculation.

21. the information processing method according to claim 20 for smart machine, which is characterized in that described ground point analysis Module further include:

Second judgment unit, for judging whether the operation note concentrates within a preset period of time；

The setting unit specifically executes are as follows:

22. the information processing method according to claim 20 for smart machine, which is characterized in that described ground point analysis Module further include:

Second acquisition unit, for obtaining current location and current time；

Third judging unit, the time at the borrow moment and the current time for judging the input handover information input frame Whether difference is poor less than or equal to preset time, and the handover information includes the borrow moment；

Third computing unit, it is poor less than or equal to preset time for the time difference when the borrow moment and the current time When, the borrow place of all operation notes is calculated at a distance from the current location, and the handover information includes described borrow Use place；

Third filtering unit, for traversing all operation notes, to search out the distance less than or equal to pre-determined distance The operation note；

The setting unit specifically executes are as follows:

23. the information processing method according to claim 19 for smart machine, which is characterized in that described ground point analysis Module includes:

4th recommendation unit, if obtaining current location as the friendship recommended without the operation note for active user Grounding point.

24. the information processing method of smart machine is used for described in any one of 3 to 23 according to claim 1, which is characterized in that Further include:

Manual input module believes the handover for operating in response to user for the input of the handover information input frame Content in breath input frame replaces with the information that user is manually entered.

25. a kind of computer equipment, including memory, processor and it is stored on the memory and can be on the processor The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 12 when executing the computer program Any one of described in the information processing method for smart machine the step of.

26. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program The step of the information processing method for smart machine as described in any one of claims 1 to 12 is realized when being executed by processor Suddenly.