CN109886824A - Friend-making recommended method, device, server, express delivery cabinet and storage medium - Google Patents
Friend-making recommended method, device, server, express delivery cabinet and storage medium Download PDFInfo
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- CN109886824A CN109886824A CN201910138194.4A CN201910138194A CN109886824A CN 109886824 A CN109886824 A CN 109886824A CN 201910138194 A CN201910138194 A CN 201910138194A CN 109886824 A CN109886824 A CN 109886824A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The embodiment of the invention discloses a kind of friend-making recommended method, device, server, express delivery cabinet and storage mediums.The described method includes: requesting in response to user the use of express delivery cabinet, the friend-making data of the user are extracted, the friend-making data include and the associated dynamic operation behavioral data of the express delivery cabinet；The information of the determining good friend to be recommended to match with the friend-making data；The information of the good friend to be recommended is sent to the express delivery cabinet and/or user terminal.The technical solution of the embodiment of the present invention realizes the automatic friend-making data for obtaining user and is user's intelligent Matching good friend to be recommended, improves the matched accuracy of user good friend and satisfaction.
Description
Technical field
The present embodiments relate to express delivery technical field more particularly to a kind of friend-making recommended methods, device, server, fast
Pass cabinet and storage medium.
Background technique
With the fast development and people's the accelerating rhythm of life of e-commerce, people are more and more stronger to the serious hope of friend-making
It is strong, it makes friends currently, people mainly pass through friend-making software.
In the prior art, friend-making software needs user actively to go to fill in the relevant friend-making information such as interest, hobby；Also,
If the friend-making information of user changes, needs user dynamically to update its friend-making information on friend-making software, lead to user not
It is ready that spending the time to fill in friend-making information or user arbitrarily fills in friend-making information.
It is above-mentioned in the prior art, user is unwilling that the time is spent to fill in friend-making information in friend-making software, or is making friends
Friend-making information is arbitrarily filled in software, can all cause the distortion of user's friend-making information, causes friend-making software error recommended user good
Friend reduces the matched accuracy of user good friend and satisfaction.
Summary of the invention
The embodiment of the present invention provides a kind of friend-making recommended method, device, server, express delivery cabinet and storage medium, to realize
Automatically extract the friend-making data of user, and be user's intelligent Matching good friend to be recommended, improve the matched accuracy of user good friend and
Satisfaction.
In a first aspect, the embodiment of the invention provides a kind of friend-making recommended methods, comprising:
The use of express delivery cabinet is requested in response to user, extracts the friend-making data of the user, the friend-making data include
With the associated dynamic operation behavioral data of the express delivery cabinet；
The information of the determining good friend to be recommended to match with the friend-making data；
The information of the good friend to be recommended is sent to the express delivery cabinet and/or user terminal.
Optionally, the friend-making data further include: user base data；
Correspondingly, the friend-making data for extracting the user, comprising:
The use of express delivery cabinet is requested in response to user, uses the uniqueness mark for obtaining the user in request from described
Know；
According to the unique identification, obtain the user user base data and with the associated dynamic of express delivery cabinet
Operation behavior data.
Optionally, the information for the good friend to be recommended that the determination and the friend-making data match, comprising:
Obtain the alternative friend information set with express delivery cabinet binding；
The alternative friend information set and the friend-making data are input to preset Matching Model, obtain the matching
The matching similarity of each of model output alternative friend information and the friend-making data；
It chooses and is more than or equal to alternative friend information corresponding to the matching similarity of similarity threshold, alternatively, choosing default
The alternative friend information of quantity is as friend information to be recommended；
Wherein, the alternative corresponding matching similarity of friend information of preset quantity is greater than other in alternative friend information set
The corresponding matching similarity of alternative friend information.
Optionally, it after the information of the good friend to be recommended is sent to the express delivery cabinet and/or user terminal, also wraps
It includes:
If detect that the user and the good friend to be recommended appear in the preset range of the express delivery cabinet
In preset duration, the client for controlling the user and the good friend to be recommended issues default prompt tone.
Second aspect, the embodiment of the invention also provides a kind of friend-making recommended methods, comprising:
Receive the information for the good friend to be recommended that server is sent, the information of the good friend to be recommended and the friend-making data phase
Matching, the friend-making data are that server extracts, and the friend-making data include and the associated dynamic operation row of the express delivery cabinet
For data；
The information of the good friend to be recommended is prompted to the user.
The third aspect, the embodiment of the invention also provides a kind of friend-making recommendation apparatus, are applied to server, comprising:
Friend-making data extraction module extracts the friend-making of the user for requesting in response to user the use of express delivery cabinet
Data, the friend-making data include and the associated dynamic operation behavioral data of the express delivery cabinet；
Recommendation information determining module, the information for the determining good friend to be recommended to match with the friend-making data；
Recommend execution module, for the information of the good friend to be recommended to be sent to the express delivery cabinet and/or user terminal.
Fourth aspect, the embodiment of the invention also provides a kind of friend-making recommendation apparatus, are applied to express delivery cabinet, comprising:
Recommendation information receiving module, the information of the good friend to be recommended for receiving server transmission, the good friend to be recommended
Information match with the friend-making data, the friend-making data be server extract, the friend-making data include with it is described
The associated dynamic operation behavioral data of express delivery cabinet；
Friend recommendation module, for prompting the information of the good friend to be recommended to the user.
5th aspect, the embodiment of the invention also provides a kind of server, the server includes:
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes the friend-making recommended method applied to server provided such as any embodiment of that present invention.
6th aspect, the embodiment of the invention also provides a kind of express delivery cabinets, comprising:
Cabinet body；
The memory that is installed on the cabinet body, processor and storage are on a memory and the meter that can run on a processor
Calculation machine program；
The processor realizes the friendship applied to express delivery cabinet provided such as any embodiment of that present invention when executing described program
Friendly recommended method.
7th aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes the friend-making recommended method provided such as any embodiment of that present invention when the program is executed by processor.
The embodiment of the present invention is applied in the scene made friends by using express delivery cabinet, by response to user to express delivery
The use of cabinet is requested, automatically extract user with the associated dynamic operation behavioral data of the express delivery cabinet, the dynamic operation behavior
Data can embody usage behavior of the user based on the express delivery cabinet, so that data have enough authenticities and real-time；Then,
It is used fastly according to the information for the good friend to be recommended that the determination of dynamic operation behavioral data matches with user, that is, determining and user
The good friend that the behavior of cabinet matches is passed, and the information of good friend to be recommended is sent to express delivery cabinet and/or user terminal, to push away automatically
It recommends to user.As it can be seen that the embodiment of the present invention user use express delivery cabinet during, by way of software and hardware combining, automatically
The dynamic operation behavioral data for having authenticity and real-time is extracted, and recommends matched good friend according to this, is filled out manually without user
Friend-making information is write, the matched efficiency of user good friend, accuracy in the scene made friends by using express delivery cabinet are improved and is expired
Meaning degree.
Detailed description of the invention
Fig. 1 is the flow chart of one of embodiment of the present invention one friend-making recommended method；
Fig. 2 is the flow chart of one of embodiment of the present invention two friend-making recommended method；
Fig. 3 is a kind of implementation flow chart of the applicable application scenarios of the embodiment of the present invention；
Fig. 4 is the structural schematic diagram of one of embodiment of the present invention four friend-making recommendation apparatus；
Fig. 5 is the structural schematic diagram of one of embodiment of the present invention five friend-making recommendation apparatus；
Fig. 6 is the structural schematic diagram of one of the embodiment of the present invention six server.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is the flow chart of one of embodiment of the present invention one friend-making recommended method, and the present embodiment is applicable to logical
The case where crossing in the scene made friends using express delivery cabinet, recommending the good friend to match for user, this method can be pushed away by friend-making
Device is recommended to execute, which can be realized by the mode of software and/or hardware, and generally can integrate in various offer friend-makings
In the server of recommendation service.In conjunction with Fig. 1, specifically comprise the following steps:
Step 110 requests the use of express delivery cabinet in response to user, extracts the friend-making data of user, friend-making data include
With the associated dynamic operation behavioral data of express delivery cabinet.
Typically, user to the use of express delivery cabinet request may include: user carry out posting on express delivery cabinet part, pickup and
The request of temporary article.Optionally, after the use to express delivery cabinet that server receives user's input is requested, from database
The friend-making data for extracting user, to match suitable good friend to user.Wherein, friend-making data include associated dynamic with express delivery cabinet
State operation behavior data, the dynamic operation behavioral data include: after the use of express delivery cabinet is requested in this sending, and user is to express delivery
The dynamic operation behavioral data of cabinet；On this basis, historical juncture, dynamic operation row of the user to express delivery cabinet can also be included in
For data.
Specifically, dynamic operation behavioral data may include: that user posts part, pickup on express delivery cabinet and uses express delivery cabinet
The data of temporary article, pickup is appreciated and beats the data of reward courier on express delivery cabinet, and buys in other applications
And carried out posting at least one of the data of express delivery for taking or keeping in the express delivery cabinet.
Illustratively, pickup data of the user on express delivery cabinet can specifically include: pickup time, pickup mode, pickup
Place, express delivery cabinet are expert at where people's name, pickup people phone number, the express delivery cabinet number of pickup, express delivery cabinet type, express delivery cabinet
Administrative division domain, taken express delivery whether be to pay a part, to pay an amount of money, pickup is time-consuming, whether appreciate, appreciate the amount of money, the means of payment, whether
It is detained express delivery, is detained duration and whether allows to deliver express delivery into cabinet etc..
Optionally, friend-making data in addition to include with the associated dynamic operation behavioral data of express delivery cabinet other than, further includes: user
Basic data.For example, wechat account and phone number that user binds on express delivery cabinet, the binding time of wechat account, real name
Users' real informations such as authenticated data, recognition of face data, gender, address.Wherein, user base data are in addition to including server
It further include dynamic operation behavioral data of the server according to user except the user's real information obtained in user's registration information
Obtained supposition information is speculated, for example, repeatedly buying Ms's makeups articles according to user, thus it is speculated that user is women.
Optionally, the use of express delivery cabinet is requested in response to user, extracts the friend-making data of user, may include: to work as to use
Family is inputted on express delivery cabinet after the request of the use to express delivery cabinet, and server requests the use of express delivery cabinet in response to user, from
Using the unique identification for obtaining user in request, which can be the phone number that user binds on express delivery cabinet
Or the information such as wechat account, server extract the use from data associated with the express delivery cabinet according to the unique identification
The user base data at family and with the associated dynamic operation behavioral data of express delivery cabinet.
Optionally, after server gets user's friend-making data, corresponding label is added for friend-making data, the label can
To include the attributes such as type, state, value range and threshold range.Specifically, tag class may include flag data not
The fuzzy label and label for being verified authenticity have confirmed that the non-fuzzy label of data validity, also may include to express delivery cabinet
The feature tag that associated dynamic operation behavioral data is classified, for example, pickup number 5-20 times, pickup time are less than 10 points
Clock, mother and baby's class commodity, spending amount 500-1000 member etc..The state of label may include: to be used, be not used, having given up
Abandon etc..For value range, above-mentioned 5-20 times and 500-1000 member are all the value range of label.Threshold range is label value
The bound of range, value range are more than that data corresponding to the label of threshold range are invalid data, cannot be as user's
Friend-making data, server are screened according to data of the threshold range to acquisition, which can be adjusted according to demand.
Optionally, in order to guarantee the authenticities of data included in user's friend-making data, server is according to having obtained
User's real information to third-party platform obtain with user binding third party verify data, with to user's friend-making data carry out
Verification and update.Specifically, third party may include public security system and shopping application program etc.；Server can exist according to user
The identification card number filled in when registering on express delivery cabinet obtains true userspersonal information from public security system, for example, name, gender,
The information such as age and address can also be obtained and be used according to the account information for the shopping application program that user binds on express delivery cabinet
Shopping record of the family in corresponding shopping application program, such as the shopping number of user, the type of spending amount and purchase commodity
Etc. information.
Optionally, after server gets third party's verification data, data are verified in friend-making data according to third party
Data with fuzzy label are verified, and are replaced the inconsistent data with fuzzy label of data are verified with third party
The corresponding data in data is verified at third party, to obtain effective friend-making data, improves the accuracy of user's friend-making data.
Step 120, the information of the determining good friend to be recommended to match with friend-making data.
Optionally, after server gets friend-making data, the alternative friend information set of acquisition and the binding of express delivery cabinet, and from
It is middle to select with the highest alternative friend information of user's friend-making data similarity as friend information to be recommended.Wherein, alternative good friend
It include the friend-making information with the other users of express delivery cabinet binding in information aggregate.
Optionally, it is selected from alternative friend information set using preset Matching Model and the matched alternative good friend of user
Information.In order to be that user matches good friend from many aspects, matched accuracy is improved, is pre-set in Matching Model default
The matching dimensionality of quantity selects number corresponding with each matching dimensionality from the friend-making data and alternative friend information set of user
According to calculating the similarity of user and alternative good friend under each matching dimensionality, according to weight shared by each matching dimensionality, calculate user
With the matching similarity between each alternative good friend, selected and the matched good friend to be recommended of user according to the size of matching similarity.
Wherein, preset quantity can be three, five, be also possible to other quantity；During Matching Model work, in order to improve matching
Accuracy the matching dimensionality to preset quantity can carry out additions and deletions at any time；After user's commending friends, can according to user with
Interaction effect between commending friends optimizes adjustment to Matching Model.
Optionally, server obtain user friend-making data with and with express delivery cabinet binding alternative friend information set it
Afterwards, alternative friend information set and friend-making data are input to preset Matching Model, it is standby obtains each of Matching Model output
The matching similarity of friend information Yu friend-making data is selected, and is chosen corresponding to the matching similarity for being more than or equal to similarity threshold
Alternative friend information, alternatively, choosing the alternative friend information of preset quantity as friend information to be recommended, wherein preset quantity
The corresponding matching similarity of a alternative friend information is greater than other corresponding of alternative friend informations in alternative friend information set
With similarity.
Illustratively, can be preset in Matching Model gender, the age, user address, the pickup time, the level of consumption,
Six matching dimensionalities of hobby, after obtaining user's friend-making data and alternative friend information set, according to above-mentioned six
Corresponding data are selected with dimension, calculate the similarity of user and all alternative good friends under each matching dimensionality, for example, in property
Under other dimension, the similarity of the alternative good friend opposite with user's gender is denoted as 1, it is separate it is identical be denoted as 0, in pickup time dimension
Under degree, the similarity of the alternative good friend with user's pickup time consistency is denoted as 1, inconsistent is denoted as 0.According to each matching dimensionality
Shared weight calculates the matching similarity of each alternative good friend and user, for example, gender dimension weight is 0.2, age dimension
Weight is 0.2, and the dimensions such as user address, pickup time, the level of consumption, hobby are respectively 0.15, then for each alternative
Similarity multiplied by weight corresponding with the dimension under each dimension is summed again and is believed to get to the alternative good friend by friend information
The matching similarity of breath and user's friend-making data.Server is selected from all matching similarities more than or equal to similarity threshold
Matching similarity, illustratively, similarity threshold can take 5, by alternative friend information corresponding to the matching similarity selected
As friend information to be recommended.
Optionally, after server obtains the matching similarity between each alternative friend information and user's friend-making data,
It can therefrom select the alternative friend information of preset quantity as friend information to be recommended, wherein the alternative good friend of preset quantity
The corresponding matching similarity of information is greater than the corresponding matching similarity of other alternative friend informations, i.e., from all alternative friend informations
Selection and the alternative friend information of the highest preset quantity of user's friend-making Data Matching similarity in set.Server can be by institute
After thering is matching similarity to carry out descending sort, preset quantity matching similarity is chosen since first, alternatively, according to other
Algorithm selects the higher preset quantity matching similarity of similarity from all matching similarities, without similar to all matchings
Degree is ranked up.
Preferably, in order to improve the accuracy of friend-making, invalid friend-making data are rejected from friend-making data, retains and effectively makes friends
Data, and then the information of the determining good friend to be recommended to match with effective friend-making data.Wherein it is determined that with effective friend-making data phase
The information approach for the good friend to be recommended that the information of matched good friend to be recommended and the determination of foregoing description and friend-making data match
Identical, difference is only that, will make friends data-optimized is effective friend-making data, and details are not described herein again.
The information of good friend to be recommended is sent to express delivery cabinet and/or user terminal by step 130.
Optionally, after server obtains the information of good friend to be recommended, express delivery cabinet is sent it to, or be sent to user
Mobile terminal, or recommend the information of good friend to be recommended to user by express delivery cabinet and mobile terminal simultaneously.Specifically, service
It may include: that the instruction of voice prompting friend-making information is sent to express delivery cabinet that device, which recommends matched friend-making information to user, with control
Express delivery cabinet provides a user friend-making prompt information by the voice playing equipment on express delivery cabinet, is pushed away with reminding user to check in time
The friend-making information recommended avoids omitting the friend-making information, wherein voice broadcast equipment can be microphone.Alternatively, server is distinguished
The instruction of commending friends information, i.e. display of the server control express delivery cabinet in express delivery cabinet are sent to user in express delivery cabinet and client
Screen display friend-making corresponding with friend information to be recommended links, alternatively, being pushed by the application program bound with the express delivery cabinet
Friend-making corresponding with friend information to be recommended links, and recommends and the matched friend information of user from many aspects to user.
Optionally, the information of good friend to be recommended is sent to after express delivery cabinet and/or user terminal by server, further includes:
If detected at the time of user and good friend to be recommended appear in the preset range of express delivery cabinet in preset duration, user is controlled
Default prompt tone is issued with the client of good friend to be recommended.Specifically, fixed according to the whole world in express delivery cabinet and customer mobile terminal
Position system (Global Positioning System, GPS) data judge that user and good friend to be recommended appear in express delivery cabinet
At the time of in preset range whether in preset duration, if so, the client of server control user and good friend to be recommended are sent out
Prompt tone is preset out.Wherein, preset duration can be 20 seconds, 30 seconds or other durations, preset range can be express delivery cabinet
Range beside 10 meters, 15 meters of circumference or express delivery cabinet, default prompt tone can be significant audio, for example, dichloro-diphenyl-dichlorothane
Sound, or too beep sound or user preset audio.
The embodiment of the present invention is applied in the scene made friends by using express delivery cabinet, by response to user to express delivery
The use of cabinet is requested, automatically extract user with the associated dynamic operation behavioral data of the express delivery cabinet, the dynamic operation behavior
Data can embody usage behavior of the user based on the express delivery cabinet, so that data have enough authenticities and real-time；Then,
It is used fastly according to the information for the good friend to be recommended that the determination of dynamic operation behavioral data matches with user, that is, determining and user
The good friend that the behavior of cabinet matches is passed, and the information of good friend to be recommended is sent to express delivery cabinet and/or user terminal, to push away automatically
It recommends to user.As it can be seen that the embodiment of the present invention user use express delivery cabinet during, by way of software and hardware combining, automatically
The dynamic operation behavioral data for having authenticity and real-time is extracted, and recommends matched good friend according to this, is filled out manually without user
Friend-making information is write, the matched efficiency of user good friend, accuracy in the scene made friends by using express delivery cabinet are improved and is expired
Meaning degree.
Embodiment two
Fig. 2 is the flow chart of one of embodiment of the present invention two friend-making recommended method, and the present embodiment is applicable to be based on
Express delivery cabinet is the case where user recommends the good friend to match, and this method can make friends recommendation apparatus to execute, which can be by
The mode of software and/or hardware is realized, and generally can integrate in the various express delivery cabinets for providing friend-making recommendation service.In conjunction with figure
2, specifically comprise the following steps:
Step 210, the information for receiving the good friend to be recommended that server is sent, information and the friend-making data phase of good friend to be recommended
Matching, friend-making data are that server extracts, and friend-making data include and the associated dynamic operation behavioral data of express delivery cabinet.
Optionally, express delivery cabinet receives the information for the good friend to be recommended to match with user that server is sent, and will be to
Instruction of the information recommendation of commending friends to user.Wherein, the information of good friend to be recommended and the friend-making data of user match, and use
The friend-making data at family are that server is extracted according to the unique identification of user, and friend-making data include and the associated dynamic of express delivery cabinet
Operation behavior data, such as user post part, pickup and the data that article is kept in using express delivery cabinet on express delivery cabinet, in express delivery cabinet
Upper pickup appreciation and beat the data for appreciating courier, and bought in other applications and post taking with the express delivery cabinet
Or the data of temporary express delivery；Friend-making data further include the user base data comprising userspersonal information.
Step 220, the information for prompting the user with good friend to be recommended.
Optionally, receive server transmission the information recommendation by good friend to be recommended to the instruction of user after, express delivery
Cabinet provides a user friend-making prompt information by voice playing equipment, for example, carrying out voice prompting to user by microphone: this
You have good friend's waiting to check and accept for secondary pickup, can pay close attention to good friend in mobile phone terminal.Express delivery cabinet can also be by display screen to user
Display, which is made friends, to be linked, and link of making friends is corresponding with the information of good friend to be recommended that server is sent, and user can be made friends by clicking
Link checks that server is its matched friend information, carries out interaction on line with it by the good friend that concern is recommended.
Optionally, after express delivery cabinet prompts the user with the information of good friend to be recommended, if user sends to the express delivery cabinet again
To the use of express delivery cabinet request, then according to the location data in express delivery cabinet and customer mobile terminal, judge user whether with wait push away
Recommend at the time of good friend appears in the preset range of express delivery cabinet in preset duration, if so, server control user with wait push away
The client for recommending good friend issues default prompt tone, meet interaction under user and good friend's development line of recommendation, realization user with it is good
The aspectant exchange of friend.
The technical solution of the embodiment of the present invention, express delivery cabinet can receive the information of the good friend to be recommended of server transmission, should
Commending friends are servers during user is using express delivery cabinet, by way of software and hardware combining, automatically extract and have very
The dynamic operation behavioral data of reality and real-time, and then recommend according to this matched, fill in friend-making information manually without user, from
And express delivery cabinet receives the information for the good friend to be recommended that matching efficiency is high, accuracy is high and satisfaction is high；By prompting the user with
The information of the good friend to be recommended mentions so that user automatically receives the information of good friend to be recommended in the use site of express delivery cabinet
The high friend-making experience of user, while improving efficiency, accuracy and the satisfaction of friend-making.
Embodiment three
Fig. 3 is a kind of implementation flow chart of the applicable application scenarios of the embodiment of the present invention, and the present embodiment can be with above-mentioned reality
Each optinal plan in example is applied to combine.Specifically, this method may include steps of with reference to Fig. 3:
It is requested firstly, sending the use to express delivery cabinet with user orientation server.
Optionally, user goes to express delivery cabinet, according to their own needs from express delivery cabinet display screen pickup, post part either
Corresponding operation pages are selected in temporary article business, are sent to server to express delivery by the two dimensional code in the scan operation page
The use of cabinet is requested, alternatively, being sent to server to express delivery cabinet by inputting corresponding number in the edit box of operation pages
Use request so that server requests control express delivery cabinet to open corresponding bin door according to the use of user, in order to user
It carries out posting the either temporary article of part, pickup.
Then, server obtains the friend-making data of user after determining user and the binding of express delivery cabinet.
Optionally, server receive user transmission use request after, judge the user whether with the express delivery cabinet into
Row binding, for example, whether user binds the phone number of oneself or wechat account with express delivery cabinet, if having bound,
It then identifies use information corresponding with the phone number or wechat account, and user is shown to by the display screen of express delivery cabinet,
Illustratively, if use information is pickup information, and to indicate that the user has multiple to pickup for pickup information, then pass through express delivery cabinet
Display screen show to user to pickup list, with guide user click one by one in list to pickup information, to each wait take
Part carries out pickup operation respectively；If unbound, user is prompted first to bind with express delivery cabinet.
Optionally, server guidance user click pickup list in pickup information after, to express delivery cabinet send open the door
Instruction, control express delivery cabinet opens corresponding bin door, and shows " cabinet door has been opened, and is closed the door after please taking out express delivery " on a display screen,
So that user takes express delivery away and closes bin door.
Optionally, after server control express delivery cabinet opens bin door, according to the phone number or micro- of user binding
Letter account extracts the friend-making data of the user from database, and adds corresponding label to friend-making data, in order to utilize the
Tripartite verifies data and carries out checksum update to the data of unauthenticated authenticity in friend-making data, and rejects influence according to demand
The lesser invalid data of the factor only retains friend-making data of the valid data as user, to improve the standard of user's friend-making data
True property.
Then, server obtains the friend information to be recommended to match with friend-making data, and is sent to express delivery cabinet.
Optionally, after server selects effective friend-making data, the friend-making with the other users of express delivery cabinet binding is obtained
Information alternately friend information set, is input to preset Matching Model for alternative friend information set and friend-making data, leads to
The matching similarity that each alternative friend information and friend-making data is calculated is crossed, the matching for being more than or equal to similarity threshold is chosen
Alternative friend information corresponding to similarity, alternatively, choose the alternative friend information of preset quantity as friend information to be recommended,
Wherein, it is similar to be greater than the corresponding matching of other alternative friend informations for the alternative corresponding matching similarity of friend information of preset quantity
Degree.
Optionally, it after server detects that user has used express delivery cabinet to close the cabinet door of corresponding bin, is sent to express delivery cabinet
Voice reminder prompts the instruction of friend-making information, is provided a user with controlling express delivery cabinet by the voice playing equipment on express delivery cabinet
Friend-making prompt information is checked and accepted for example, you have a good friend to wait, and can pay close attention to good friend in mobile phone terminal.
Then, friend information to be recommended is recommended user by express delivery cabinet.
Optionally, express delivery cabinet receive server transmission the information recommendation by good friend to be recommended to user instruction it
Afterwards, link of making friends being shown to user by display screen, link of making friends is corresponding with the information of good friend to be recommended that server is sent,
User can by click make friends link, check server be its matched friend information, by concern recommend good friend and its into
Interaction on line.
Optionally, after express delivery cabinet provides the user with the information of good friend to be recommended, if user and good friend to be recommended are default
In the preset range for appearing in express delivery cabinet in duration, then the client of server control user and good friend to be recommended issue default mention
Show sound, meet interaction under user and good friend's development line of recommendation, realization user with good friend is aspectant exchanges.
Example IV
Fig. 4 is the structural schematic diagram of friend-making recommendation apparatus one of in the embodiment of the present invention four.The present embodiment is suitable for
The case where recommending the good friend to match for user.As shown in figure 4, the friend-making recommendation apparatus is applied to server, comprising:
Friend-making data extraction module 410 extracts the friend-making number of user for requesting in response to user the use of express delivery cabinet
According to friend-making data include and the associated dynamic operation behavioral data of express delivery cabinet；
Recommendation information determining module 420, the information for the good friend to be recommended that the data that determine and make friends match；
Recommend execution module 430, for the information of good friend to be recommended to be sent to express delivery cabinet and/or user terminal.
The embodiment of the present invention is applied in the scene made friends by using express delivery cabinet, by response to user to express delivery
The use of cabinet is requested, automatically extract user with the associated dynamic operation behavioral data of the express delivery cabinet, the dynamic operation behavior
Data can embody usage behavior of the user based on the express delivery cabinet, so that data have enough authenticities and real-time；Then,
It is used fastly according to the information for the good friend to be recommended that the determination of dynamic operation behavioral data matches with user, that is, determining and user
The good friend that the behavior of cabinet matches is passed, and the information of good friend to be recommended is sent to express delivery cabinet and/or user terminal, to push away automatically
It recommends to user.As it can be seen that the embodiment of the present invention user use express delivery cabinet during, by way of software and hardware combining, automatically
The dynamic operation behavioral data for having authenticity and real-time is extracted, and recommends matched good friend according to this, is filled out manually without user
Friend-making information is write, the matched efficiency of user good friend, accuracy in the scene made friends by using express delivery cabinet are improved and is expired
Meaning degree.
Further, friend-making data further include: user base data；
Correspondingly, friend-making data extraction module 410 includes: mark acquiring unit, in response to user to express delivery cabinet
Using request, from the unique identification for using acquisition user in request；Data capture unit, for obtaining according to unique identification
Take family user base data and with the associated dynamic operation behavioral data of express delivery cabinet.
Further, recommendation information determining module 420 includes: information acquisition unit, for obtaining and the binding of express delivery cabinet
Alternative friend information set；Similarity acquiring unit, it is preset for alternative friend information set and friend-making data to be input to
Matching Model obtains the matching similarity of each of Matching Model output alternative friend information and friend-making data；Good friend to be recommended
Information acquisition unit is more than or equal to alternative friend information corresponding to the matching similarity of similarity threshold for choosing, alternatively,
The alternative friend information of preset quantity is chosen as friend information to be recommended；Wherein, the alternative friend information of preset quantity is corresponding
Matching similarity be greater than the corresponding matching similarity of other alternative friend informations in alternative friend information set.
Further, recommend execution module 430 further include: prompt unit under line, for by the information of good friend to be recommended
It is sent to after express delivery cabinet and/or user terminal, if detecting that user and good friend to be recommended appear in the default model of express delivery cabinet
At the time of enclosing interior in preset duration, the client of control user and good friend to be recommended issue default prompt tone.
Provided by any embodiment of the invention be applied to can be performed in friend-making recommendation apparatus provided by the embodiment of the present invention
The friend-making recommended method of server has the corresponding functional module of execution method and beneficial effect.
Embodiment five
Fig. 5 is the structural schematic diagram of friend-making recommendation apparatus one of in the embodiment of the present invention five.The present embodiment is suitable for
It is the case where user recommends the good friend to match based on express delivery cabinet.As shown in figure 5, the friend-making recommendation apparatus is applied to express delivery cabinet,
Include:
Recommendation information receiving module 510, the information of the good friend to be recommended for receiving server transmission, good friend's to be recommended
Information matches with friend-making data, and friend-making data are that server extracts, and friend-making data include grasping with the associated dynamic of express delivery cabinet
Make behavioral data；
Friend recommendation module 520, for prompting the user with the information of good friend to be recommended.
The technical solution of the embodiment of the present invention, express delivery cabinet can receive the information of the good friend to be recommended of server transmission, should
Commending friends are servers during user is using express delivery cabinet, by way of software and hardware combining, automatically extract and have very
The dynamic operation behavioral data of reality and real-time, and then recommend according to this matched, fill in friend-making information manually without user, from
And express delivery cabinet receives the information for the good friend to be recommended that matching efficiency is high, accuracy is high and satisfaction is high；By prompting the user with
The information of the good friend to be recommended mentions so that user automatically receives the information of good friend to be recommended in the use site of express delivery cabinet
The high friend-making experience of user, while improving efficiency, accuracy and the satisfaction of friend-making.
Provided by any embodiment of the invention be applied to can be performed in friend-making recommendation apparatus provided by the embodiment of the present invention
The friend-making recommended method of express delivery cabinet has the corresponding functional module of execution method and beneficial effect.
Embodiment six
Referring to Fig. 6, Fig. 6 is the structural schematic diagram of one of the embodiment of the present invention six server, as shown in fig. 6, the clothes
Business device includes processor 610, memory 620, input unit 630 and output device 640；The quantity of processor 610 in server
It can be one or more, in Fig. 6 by taking a processor 610 as an example；Processor 610, memory 620, input in server
Device 630 can be connected with output device 640 by bus or other modes, in Fig. 6 for being connected by bus.
Memory 620 is used as a kind of computer readable storage medium, can be used for storing software program, journey can be performed in computer
Sequence and module, as the corresponding program instruction/module of friend-making recommended method in the embodiment of the present invention (recommends dress for example, making friends
Friend-making data extraction module 410, recommendation information determining module 420 and recommendation execution module 430 in setting).Processor 610 passes through
Run the software program, instruction and the module that are stored in memory 620, thereby executing server various function application and
Above-mentioned friend-making recommended method is realized in data processing.
Memory 620 can mainly include storing program area and storage data area, wherein storing program area can store operation system
Application program needed for system, at least one function；Storage data area, which can be stored, uses created data etc. according to terminal.This
Outside, memory 620 may include high-speed random access memory, can also include nonvolatile memory, for example, at least one
Disk memory, flush memory device or other non-volatile solid state memory parts.In some instances, memory 620 can be into one
Step includes the memory remotely located relative to processor 610, these remote memories can pass through network connection to server.
The example of above-mentioned network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Input unit 630 can be used for receiving the number or character information of input, such as request the use of express delivery cabinet, and
Generate key signals input related with the user setting of server and function control.Output device 640 may include display screen etc.
Display server.
Embodiment seven
The embodiment of the present invention seven provides a kind of express delivery cabinet, which includes: cabinet body；It is installed on depositing on the cabinet body
Reservoir, processor and storage are on a memory and the computer program that can run on a processor；Described in the processor executes
The friend-making recommended method applied to express delivery cabinet provided such as any embodiment of that present invention is provided when program.
In the embodiment of the present invention, a cabinet body may include the bin of a variety of different sizes, cope with user to bin
The different demands of size, while being conducive to that more bins are arranged in limited cabinet body space, service more users.It is each fast
To pass cabinet both may include a cabinet body or may include multiple cabinet bodies, and the cabinet body quantity that express delivery cabinet is included can be according to business demand
It is modified.
Memory can be used for storing software program, computer executable program as a kind of computer readable storage medium
And module, if the corresponding program instruction/module of friend-making recommended method in the embodiment of the present invention is (for example, friend-making recommendation apparatus
In recommendation information receiving module 510 and friend recommendation module 520).Processor is by running software stored in memory
Program, instruction and module realize that above-mentioned friend-making pushes away thereby executing the various function application and data processing of express delivery cabinet
Recommend method.
Memory can mainly include storing program area and storage data area, wherein storing program area can storage program area,
Application program needed at least one function；Storage data area, which can be stored, uses created data etc. according to terminal.In addition,
Memory may include high-speed random access memory, can also include nonvolatile memory, and a for example, at least disk is deposited
Memory device, flush memory device or other non-volatile solid state memory parts.In some instances, memory can further comprise phase
The memory remotely located for processor, these remote memories can pass through network connection to express delivery cabinet.Above-mentioned network
Example includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Embodiment eight
The embodiment of the present invention eight provides a kind of computer readable storage medium, is stored thereon with computer instruction, the meter
The instruction of calculation machine realizes any friend-making recommended method provided by the above embodiment when being executed by processor, wherein a kind of friend-making pushes away
The method of recommending includes:
The use of express delivery cabinet is requested in response to user, extracts the friend-making data of the user, the friend-making data include
With the associated dynamic operation behavioral data of the express delivery cabinet；
The information of the determining good friend to be recommended to match with the friend-making data；
The information of the good friend to be recommended is sent to the express delivery cabinet and/or user terminal.
Alternatively, another friend-making recommended method includes:
Receive the information for the good friend to be recommended that server is sent, the information of the good friend to be recommended and the friend-making data phase
Matching, the friend-making data are that server extracts, and the friend-making data include and the associated dynamic operation row of the express delivery cabinet
For data；
The information of the good friend to be recommended is prompted to the user.
Certainly, a kind of computer readable storage medium provided by the embodiment of the present invention, computer instruction are executable not
It is limited to method operation as described above, the correlation in friend-making recommended method provided by any embodiment of the invention can also be performed
Operation.
By the description above with respect to embodiment, it is apparent to those skilled in the art that, the present invention
It can be realized by software and required common hardware, naturally it is also possible to which by hardware realization, but in many cases, the former is more
Good embodiment.Based on this understanding, technical solution of the present invention substantially in other words contributes to the prior art
Part can be embodied in the form of software products, which can store in computer readable storage medium
In, floppy disk, read-only memory (Read-Only Memory, ROM), random access memory (Random such as computer
Access Memory, RAM), flash memory (FLASH), hard disk or CD etc., including some instructions are with so that a computer is set
Standby (can be personal computer, server or the network equipment etc.) executes method described in each embodiment of the present invention.
It is worth noting that, included each unit and module are only pressed in the embodiment of above-mentioned friend-making recommendation apparatus
It is divided, but is not limited to the above division according to function logic, as long as corresponding functions can be realized；In addition,
The specific name of each functional unit is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of friend-making recommended method characterized by comprising
The use of express delivery cabinet is requested in response to user, extracts the friend-making data of the user, the friend-making data include and institute
State the associated dynamic operation behavioral data of express delivery cabinet；
The information of the determining good friend to be recommended to match with the friend-making data；
The information of the good friend to be recommended is sent to the express delivery cabinet and/or user terminal.
2. the method according to claim 1, wherein
The friend-making data further include: user base data；
Correspondingly, the friend-making data for extracting the user, comprising:
The use of express delivery cabinet is requested in response to user, uses the unique identification for obtaining the user in request from described；
According to the unique identification, obtain the user user base data and with the associated dynamic operation of express delivery cabinet
Behavioral data.
3. the method according to claim 1, wherein the determination match with the friend-making data it is to be recommended
The information of good friend, comprising:
Obtain the alternative friend information set with express delivery cabinet binding；
The alternative friend information set and the friend-making data are input to preset Matching Model, obtain the Matching Model
The matching similarity of each of output alternative friend information and the friend-making data；
It chooses and is more than or equal to alternative friend information corresponding to the matching similarity of similarity threshold, alternatively, choosing preset quantity
A alternative friend information is as friend information to be recommended；
Wherein, it is alternative to be greater than other in alternative friend information set for the alternative corresponding matching similarity of friend information of preset quantity
The corresponding matching similarity of friend information.
4. the method according to claim 1, wherein described fast the information of the good friend to be recommended to be sent to
After passing cabinet and/or user terminal, further includes:
If detected at the time of the user is appeared in the good friend to be recommended in the preset range of the express delivery cabinet pre-
If in duration, the client for controlling the user and the good friend to be recommended issues default prompt tone.
5. a kind of friend-making recommended method characterized by comprising
Receive the information for the good friend to be recommended that server is sent, the information of the good friend to be recommended and the friend-making data phase
Match, the friend-making data are that server extracts, and the friend-making data include and the associated dynamic operation behavior of the express delivery cabinet
Data；
The information of the good friend to be recommended is prompted to the user.
6. a kind of friend-making recommendation apparatus, which is characterized in that be applied to server, comprising:
Friend-making data extraction module extracts the friend-making data of the user for the use request in response to user to express delivery cabinet,
The friend-making data include and the associated dynamic operation behavioral data of the express delivery cabinet；
Recommendation information determining module, the information for the determining good friend to be recommended to match with the friend-making data；
Recommend execution module, for the information of the good friend to be recommended to be sent to the express delivery cabinet and/or user terminal.
7. a kind of friend-making recommendation apparatus, which is characterized in that be applied to express delivery cabinet, comprising:
Recommendation information receiving module, the information of the good friend to be recommended for receiving server transmission, the letter of the good friend to be recommended
Breath matches with the friend-making data, and the friend-making data are that server extracts, and the friend-making data include and the express delivery
The associated dynamic operation behavioral data of cabinet；
Friend recommendation module, for prompting the information of the good friend to be recommended to the user.
8. a kind of server, which is characterized in that the server includes:
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The now friend-making recommended method as described in any in claim 1-4.
9. a kind of express delivery cabinet characterized by comprising
Cabinet body；
The memory that is installed on the cabinet body, processor and storage are on a memory and the computer that can run on a processor
Program；
The processor realizes friend-making recommended method as claimed in claim 5 when executing described program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The friend-making recommended method as described in any in claim 1-4 is realized when execution, or as claimed in claim 5 make friends is recommended
Method.
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| CN201910138194.4A CN109886824B (en) | 2019-02-25 | 2019-02-25 | Friend-making recommendation method, friend-making recommendation device, friend-making recommendation server, express cabinet and friend-making recommendation storage medium |
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| CN201910138194.4A CN109886824B (en) | 2019-02-25 | 2019-02-25 | Friend-making recommendation method, friend-making recommendation device, friend-making recommendation server, express cabinet and friend-making recommendation storage medium |
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| CN111753211A (en) * | 2020-06-01 | 2020-10-09 | 深圳市智莱科技股份有限公司 | Friend-making recommendation method, express delivery cabinet and storage medium |
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| CN109886824B (en) | 2023-07-28 |
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