CN109300018A - A kind of Vehicular intelligent recommended method, device, equipment and storage medium - Google Patents
A kind of Vehicular intelligent recommended method, device, equipment and storage medium Download PDFInfo
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- CN109300018A CN109300018A CN201811287499.3A CN201811287499A CN109300018A CN 109300018 A CN109300018 A CN 109300018A CN 201811287499 A CN201811287499 A CN 201811287499A CN 109300018 A CN109300018 A CN 109300018A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
This application discloses a kind of Vehicular intelligent recommended method, device, equipment and storage mediums, this method comprises: determining that the car owner that there is purchase vehicle demand is target car owner；Obtain the owner information of the target car owner；Owner information based on the target car owner determines corresponding vehicle recommendation information, and the vehicle recommendation information is returned to the target car owner, wherein the vehicle recommendation information includes vehicle model information, scheme for buying cars information and car operation scheme information.It can be seen that, the application is when realizing that vehicle is recommended, after getting the owner information of car owner, corresponding vehicle recommendation information can be automatically determined out based on owner information, to realize the intelligent recommendation of vehicle, scheme for buying cars and Management plan, it avoids since the subjective factor for selling personnel leads to not realize that the case where vehicle is accurately recommended occurs, i.e., technical solution disclosed in the present application can be realized the accurate recommendation of vehicle, scheme for buying cars and Management plan, and then can satisfy the individual demand of car owner.
Description
Technical field
This application involves vehicle recommended technology field, more specifically to a kind of Vehicular intelligent recommended method, device,
Equipment and storage medium.
Background technique
Auto industry experienced development in more than 100 years, the development and rapid development to national economy and the text to human society
It is bright to bring tremendous influence.With the continuous improvement of people's living standard and automotive performance, people need the consumption of automobile
Ask also more and more vigorous.
Traditional sale of automobile mode is solid shop/brick and mortar store marketing method, and car owner selects according to the configuration of automobiles that solid shop/brick and mortar store provides
Select purchase.But due to selling limitation that personnel recognizes vehicle or the personal not thoughtful grade subjective factors considered, often
It cannot achieve the accurate recommendation of vehicle, and then be unable to satisfy the individual demand of car owner.
In conclusion how to provide a kind of accurate recommendation that can be realized vehicle, and then meet the individual demand of car owner
Technical solution, be current art technology urgent problem to be solved.
Summary of the invention
The purpose of the application is to provide a kind of Vehicular intelligent recommended method, device, equipment and storage medium, can be realized vehicle
Accurate recommendation, and then meet the individual demand of car owner.
To achieve the goals above, the application provides the following technical solutions:
A kind of Vehicular intelligent recommended method, comprising:
Determine that the car owner that there is purchase vehicle demand is target car owner；
Obtain the owner information of the target car owner；
Owner information based on the target car owner determines corresponding vehicle recommendation information, and by the vehicle recommendation
Breath returns to the target car owner, wherein the vehicle recommendation information includes vehicle model information, scheme for buying cars information and car operation
Scheme information.
Preferably, it is the information of new car or used car, the scheme for buying cars that the vehicle model information, which includes vehicle model, vehicle,
Information includes loan for vehicle plan, sells car door shop information, and the car operation scheme information includes that vehicle is used to use by oneself, shares vehicle
Or plan and the vehicle maintenance recycle program of net about vehicle.
Preferably, any several in the vehicle model information, the scheme for buying cars information and the car operation scheme information
There are corresponding relationship or influence relationships between.
Preferably, the vehicle recommendation information is returned into the target car owner, comprising:
The vehicle pictures for including in the vehicle model information of the vehicle recommendation information are shown corresponding to the target car owner
In terminal.
Preferably, the owner information includes the personal information, work financial information and historical driving behavior of corresponding car owner
Information, after the owner information for obtaining the target car owner, before determining the vehicle recommendation information, further includes:
The significance level for the every terms of information for including in owner information based on the target car owner, for every terms of information imparting pair
The weight answered, and the corresponding weight of every terms of information is added separately in the owner information.
Preferably, the owner information based on the target car owner determines vehicle recommendation information, comprising:
The owner information of the target car owner is input in the Vehicular intelligent recommended models being pre-created, and described in determination
The vehicle purchase use information of Vehicular intelligent recommended models output is vehicle recommendation information；
The process that the Vehicular intelligent recommended models are pre-created includes:
Acquisition includes the training information collection of multiple training informations, and based on the default classification mould of the training information collection training
Type obtains Vehicular intelligent recommended models, wherein the training information includes the owner information for purchasing vehicle car owner in history, corresponding purchase
Use information is bought using the vehicle of vehicle.
Preferably, after the owner information for getting the target car owner, further includes:
It is confirmed whether that there are customized demand information with the target car owner, if it is, the customized demand information is added
Enter into the owner information of the target car owner, and determines that the weight of the customized demand information is greater than its in the owner information
The weight of his every terms of information；If it is not, then determining the owner information without updating the target car owner.
Preferably, the customized demand information is being added to the owner information of the target car owner or is being determined without more
After the owner information of the new target car owner, further includes:
Confirm whether the owner information of the target car owner is correct with the target car owner, if it is, determining target carriage
Main owner information, which obtains, to be completed, if it is not, then indicating that the target car owner returns to modification information, and is based on the modification information
Modify the owner information of the target car owner.
Preferably, after the vehicle recommendation information to be returned to the target car owner, further includes:
Target car owner purchase is determined using the vehicle purchase use information of vehicle, and by the car owner of the target car owner
Information and corresponding vehicle purchase use information are added to the training information and concentrate, default using the training information collection training
Disaggregated model obtains new Vehicular intelligent recommended models, and realizes vehicle based on the new Vehicular intelligent recommended models when needed
The determination of recommendation information.
A kind of Vehicular intelligent recommendation apparatus, comprising:
Determining module is used for: after determining that car owner has purchase vehicle intention, being confirmed whether to need to carry out vehicle with the car owner
Intelligent recommendation, if it is, determining that the car owner is target car owner；
Module is obtained, is used for: obtaining the owner information of the target car owner；
Recommending module is used for: the owner information based on the target car owner determines corresponding vehicle recommendation information, and will
The vehicle recommendation information returns to the target car owner, wherein the vehicle recommendation information includes vehicle model information, scheme for buying cars
Information and car operation scheme information.
Preferably, the recommending module includes:
Recommendation unit is used for: the vehicle pictures for including in the vehicle model information of the vehicle recommendation information are shown to described
In the corresponding terminal of target car owner.
Preferably, the owner information includes the personal information, work financial information and historical driving behavior of corresponding car owner
Information, and described device further include:
Power module is assigned, is used for: after the owner information for obtaining the target car owner, determining the vehicle recommendation
Before breath, the significance level for the every terms of information for including in the owner information based on the target car owner, for every terms of information imparting pair
The weight answered, and the corresponding weight of every terms of information is added separately in the owner information.
Preferably, the recommending module includes:
Determination unit is used for: the owner information of the target car owner being input to the Vehicular intelligent being pre-created and recommends mould
In type, and determine that the vehicle purchase use information of the Vehicular intelligent recommended models output is vehicle recommendation information；
Described device further include:
First training module, is used for: acquisition includes the training information collection of multiple training informations, and based on the training letter
The default disaggregated model of breath collection training obtains Vehicular intelligent recommended models, wherein the training information includes purchasing vehicle car owner in history
Owner information, corresponding purchase using the vehicle of vehicle buy use information.
Preferably, further includes:
First adding module, is used for: true with the target car owner after the owner information for getting the target car owner
Recognize with the presence or absence of customized demand information, if it is, being added the customized demand information to car owner's letter of the target car owner
In breath, and determine that the weight of the customized demand information is greater than the weight of other every terms of information in the owner information；If not,
Then determine the owner information without updating the target car owner.
Preferably, further includes:
Validation of information module, is used for: being added the customized demand information to the owner information of the target car owner or
After person determines the owner information without updating the target car owner, the car owner of the target car owner is confirmed with the target car owner
Whether information is correct, completes if it is, determining that the owner information of target car owner obtains, if it is not, then indicating the target carriage
Main return modification information, and modify based on the modification information owner information of the target car owner.
Preferably, further includes:
Second training module, is used for: after the vehicle recommendation information is returned to the target car owner, described in determination
Target car owner purchase buys use information using the vehicle of vehicle, and by the owner information of the target car owner and corresponding vehicle
Purchase use information, which is added to the training information, to be concentrated, and is obtained using the default disaggregated model of the training information collection training new
Vehicular intelligent recommended models, and the determination of vehicle recommendation information is realized based on the new Vehicular intelligent recommended models when needed.
A kind of Vehicular intelligent recommendation apparatus, comprising:
Memory, for storing computer program；
Processor, the step of Vehicular intelligent recommended method as described above is realized when for executing the computer program.
Preferably, when the processor executes the computer subprogram stored in the memory, following step is implemented
It is rapid: the vehicle pictures for including in the vehicle model information of the vehicle recommendation information are shown into terminal corresponding to the target car owner
On.
Preferably, when the processor executes the computer subprogram stored in the memory, following step is implemented
It is rapid: after the owner information for obtaining the target car owner, before determining the vehicle recommendation information, to be based on the target
The significance level for the every terms of information for including in the owner information of car owner assigns corresponding weight for every terms of information, and items is believed
Corresponding weight is ceased to be added separately in the owner information；Wherein, the owner information include corresponding car owner personal information,
The financial information that works and historical driving behavior information.
Preferably, when the processor executes the computer subprogram stored in the memory, following step is implemented
It is rapid: the owner information of the target car owner being input in the Vehicular intelligent recommended models being pre-created, and determines the vehicle
The vehicle purchase use information of intelligent recommendation model output is vehicle recommendation information；And obtaining includes multiple training informations
Training information collection, and disaggregated model is preset based on the training information collection training and obtains Vehicular intelligent recommended models, wherein it is described
Training information includes the owner information for purchasing vehicle car owner in history, the corresponding vehicle purchase use information bought using vehicle.
Preferably, when the processor executes the computer subprogram stored in the memory, following step is implemented
It is rapid: after the owner information for getting the target car owner, it is confirmed whether with the target car owner there are customized demand information,
If it is, being added the customized demand information into the owner information of the target car owner, and determine the customized demand
The weight of information is greater than the weight of other every terms of information in the owner information；If it is not, then determining without updating the target
The owner information of car owner.
Preferably, when the processor executes the computer subprogram stored in the memory, following step is implemented
It is rapid: the customized demand information being added to the owner information of the target car owner or is being determined without updating the target carriage
After main owner information, confirm whether the owner information of the target car owner is correct with the target car owner, if it is, really
The owner information of car owner of setting the goal is obtained and is completed, if it is not, then indicating that the target car owner returns to modification information, and based on described
Modification information modifies the owner information of the target car owner.
Preferably, when the processor executes the computer subprogram stored in the memory, following step is implemented
It is rapid: after the vehicle recommendation information is returned to the target car owner, to determine that the target car owner purchase uses vehicle
Vehicle buys use information, and the owner information of the target car owner and corresponding vehicle purchase use information are added to described
Training information is concentrated, and obtains new Vehicular intelligent recommended models using the default disaggregated model of the training information collection training, and
The determination of vehicle recommendation information is realized when needing based on the new Vehicular intelligent recommended models.
A kind of computer readable storage medium is stored with computer program on the computer readable storage medium, described
The step of Vehicular intelligent recommended method as described above is realized when computer program is executed by processor.
Preferably, when the computer subprogram saved in the computer readable storage medium is executed by processor, specifically
It performs the steps of and shows the vehicle pictures for including in the vehicle model information of the vehicle recommendation information to the target car owner couple
In the terminal answered.
Preferably, when the computer subprogram saved in the computer readable storage medium is executed by processor, specifically
It performs the steps of after the owner information for obtaining the target car owner, before determining the vehicle recommendation information, base
The significance level for the every terms of information for including in the owner information of the target car owner assigns corresponding weight for every terms of information,
And the corresponding weight of every terms of information is added separately in the owner information；Wherein, the owner information includes corresponding car owner
Personal information, work financial information and historical driving behavior information.
Preferably, when the computer subprogram saved in the computer readable storage medium is executed by processor, specifically
It performs the steps of and the owner information of the target car owner is input in the Vehicular intelligent recommended models being pre-created, and really
The vehicle purchase use information of the fixed Vehicular intelligent recommended models output is vehicle recommendation information；And it includes multiple for obtaining
The training information collection of training information, and disaggregated model is preset based on the training information collection training and obtains Vehicular intelligent recommendation mould
Type, wherein the training information includes that the owner information of purchase vehicle car owner, corresponding purchase in history are made using the vehicle purchase of vehicle
Use information.
Preferably, when the computer subprogram saved in the computer readable storage medium is executed by processor, specifically
It performs the steps of after the owner information for getting the target car owner, it is fixed to be confirmed whether to exist with the target car owner
Demand information processed if it is, being added the customized demand information into the owner information of the target car owner, and determines institute
The weight for stating customized demand information is greater than the weight of other every terms of information in the owner information；If it is not, then determining without more
The owner information of the new target car owner.
Preferably, when the computer subprogram saved in the computer readable storage medium is executed by processor, specifically
It performs the steps of and the customized demand information is being added to the owner information of the target car owner or is determining without updating
After the owner information of the target car owner, confirm whether the owner information of the target car owner is correct with the target car owner,
It is completed if it is, determining that the owner information of target car owner obtains, if it is not, then indicating that the target car owner returns to modification letter
It ceases, and modifies the owner information of the target car owner based on the modification information.
Preferably, when the computer subprogram saved in the computer readable storage medium is executed by processor, specifically
It performs the steps of after the vehicle recommendation information is returned to the target car owner, determines the target car owner purchase
Use information is bought using the vehicle of vehicle, and the owner information of the target car owner and corresponding vehicle are bought into use information
It is added to the training information and concentrates, preset disaggregated model using the training information collection training and obtain new Vehicular intelligent recommendation
Model, and the determination of vehicle recommendation information is realized based on the new Vehicular intelligent recommended models when needed.
In technical solution disclosed in the present application, after determining the car owner that there is purchase vehicle demand, the owner information of car owner is obtained,
To determine that corresponding vehicle recommendation information chooses vehicle, scheme for buying cars and Management plan for car owner based on owner information；As it can be seen that
The application is when realizing that vehicle is recommended, and after getting the owner information of car owner, can be automatically determined out and be corresponded to based on owner information
Vehicle recommendation information avoid due to selling personnel's to realize the intelligent recommendation of vehicle, scheme for buying cars and Management plan
Subjective factor leads to not realize that the case where vehicle is accurately recommended occurs namely technical solution disclosed in the present application can be realized vehicle
, the accurate recommendation of scheme for buying cars and Management plan, and then can satisfy the individual demand of car owner.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of application without creative efforts, can also basis for ordinary skill car owner
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of Vehicular intelligent recommended method provided by the embodiments of the present application；
Fig. 2 is a kind of structural schematic diagram of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application；
Fig. 3 is a kind of structural schematic diagram of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, ordinary skill car owner are obtained every other without making creative work
Embodiment shall fall in the protection scope of this application.
As the improvement of people's living standards, automobile is almost at the essential walking-replacing tool of each family, and buying car
It is then that each car owner for needing automobile must problems faced.Traditional sale of automobile mode is solid shop/brick and mortar store marketing method, car owner
Selection purchase is carried out according to the configuration of automobiles that solid shop/brick and mortar store provides.But due to sell limitation that personnel recognize vehicle or
Individual considers unthoughtful, often cannot achieve the accurate recommendation of vehicle, and then be unable to satisfy the individual demand of car owner.For
This, the application provides corresponding technical solution to solve above-mentioned problems of the prior art.
It, can be with referring to Fig. 1, it illustrates a kind of flow chart of Vehicular intelligent recommended method provided by the embodiments of the present application
Include:
S11: determine that the car owner that there is purchase vehicle demand is target car owner.
It should be noted that a kind of execution subject of vehicle recommended method provided by the embodiments of the present application can be corresponding
Vehicle recommendation apparatus, and the device can be set in the clients such as server or mobile terminal, it specifically can be according to reality
It needs to be configured.And the operations that car owner realizes in the application can pass through the clients such as the mobile terminal of car owner reality
It is existing.
Car owner in the presence of purchase vehicle demand is the car owner for carrying out purchase vehicle, it is any exist purchase vehicle demand car owner be can be with
As target car owner；Specifically, determine that there is the car owner for purchasing vehicle demand for target car owner may include: that determining car owner has purchase
After vehicle intention, it is confirmed whether to need to carry out Vehicular intelligent recommendation with car owner, if it is, determine that car owner is target car owner, otherwise,
Then determine that car owner is not target car owner.It sends a telegram here when inquiring or passes through wherein it is determined that there is car owner purchase vehicle intention can be car owner
The mode of big data get car owner on the net carry out purchase vehicle relevant information (information of vehicles, car sale information etc.) inquiry when, determine
Car owner has purchase vehicle intention；And it is confirmed whether that needing to carry out Vehicular intelligent recommendation can be direct-dial telephone or online with car owner
It is contacted with car owner and links up confirmation.Determine whether to carry out Vehicular intelligent recommendation for car owner in this way, can be needed in car owner
Vehicular intelligent recommendation is just carried out when wanting, and avoids the dislike for causing car owner.
S12: the owner information of target car owner is obtained.
Owner information includes but is not limited to the personal information, work financial information and driving behavior information of corresponding car owner；
Wherein, personal information may include age, gender, kinsfolk, height, figure and education level of corresponding car owner etc., work
It may include status, job specification, income level, level of consumption idea and the credit record of corresponding car owner as financial information
It may include trip record, driving record and the record violating the regulations etc. of corresponding car owner Deng, historical driving behavior information；Above- mentioned information can
To be to write on one's behalf what table was filled in by car owner or staff, the acquisition in the form of electric questionnaire specifically can be.It needs
Illustrate, the item number that can influence the information that car owner purchases vehicle of owner information acquisition is more, is more conducive to filter out to meet vehicle
The vehicle of main demand.For different car owners, the vehicle of final choice has very big difference, for example, when car owner is women,
Its may pay the utmost attention to women to automobile；Car owner's family size not for the moment, needs the corresponding vehicle in different seats；It is different
The car owner of age bracket is also not quite alike for the aesthetic of different automobile types, degree of recognition, and young man more values vehicle external form, and has gone up one
The people for determining the age is more likely to automobile interior quality, riding comfort etc.；The height figure of car owner is also to influence Truck type choice
One big factor, the more tall and big people of stature are more likely to the biggish vehicles of interior spaces such as selection SUV；The status and work of car owner
Make property also to have a great impact to Truck type choice, common white collar is more to consider that price, oil consumption etc. are common to ask when purchasing vehicle
Topic, and often go on business, field work is then more likely to offroad vehicle, pick up, caravan or SUV etc., can preferably carry
It carries out the work outside article is out of office and takes into account life；Income level and level of consumption idea are then even more the big weight for restricting purchase vehicle intention
Point, the general people of income level is mostly purchase domestic car or import common vehicle, and income level and consumption idea are stronger
People then can more consider luxury car.
S13: the owner information based on target car owner determines corresponding vehicle recommendation information, and vehicle recommendation information is returned
Back to target car owner, wherein vehicle recommendation information includes vehicle model information, scheme for buying cars information and car operation scheme information.
Owner information based on target car owner can determine corresponding vehicle recommendation information, so that target car owner is based on vehicle
Recommendation information chooses vehicle.Wherein, vehicle recommendation information can include but is not limited to vehicle model information, scheme for buying cars information and vehicle
Management plan information etc.；So that car owner can determine vehicle, vehicle purchase scheme and the vehicle for needing to buy based on this
Management plan etc..
In technical solution disclosed in the present application, after determining the car owner that there is purchase vehicle demand, the owner information of car owner is obtained,
To determine that corresponding vehicle recommendation information chooses vehicle, scheme for buying cars and Management plan for car owner based on owner information；As it can be seen that
The application is when realizing that vehicle is recommended, and after getting the owner information of car owner, can be automatically determined out and be corresponded to based on owner information
Vehicle recommendation information avoid due to selling personnel's to realize the intelligent recommendation of vehicle, scheme for buying cars and Management plan
Subjective factor leads to not realize that the case where vehicle is accurately recommended occurs namely technical solution disclosed in the present application can be realized vehicle
, the accurate recommendation of scheme for buying cars and Management plan, and then can satisfy the individual demand of car owner.
A kind of Vehicular intelligent recommended method provided by the embodiments of the present application, returns to target car owner for vehicle recommendation information,
May include:
The vehicle pictures for including in the vehicle model information of vehicle recommendation information are shown to the corresponding terminal of target car owner.
It should be noted that the vehicle model information in the embodiment of the present application may include vehicle pictures, directly by vehicle pictures
It is shown to car owner to see, enables to car owner to have an intuitive impression to contour of the vehicle, the selection of vehicle is realized conducive to car owner.
A kind of Vehicular intelligent recommended method provided by the embodiments of the present application, owner information include the personal letter of corresponding car owner
Breath, work financial information and historical driving behavior information are determining that vehicle pushes away after the owner information for obtaining target car owner
Before recommending information, can also include:
The significance level for the every terms of information for including in owner information based on target car owner assigns corresponding for every terms of information
Weight, and the corresponding weight of every terms of information is added separately in owner information.
It should be noted that the significance level for the every terms of information for including in owner information can be it is corresponding by owner information
Car owner's setting, it is also possible to carry out (the vehicle of each car owner at this time of unified setting in advance according to actual needs by staff
The significance level of same item information is identical in main information), within the scope of protection of this application, and then by with every terms of information
The weighted value of significance level is added to corresponding owner information.Since for car owner, different item information is important in owner information
Degree is different, such as some car owners may more value contour of the vehicle, some car owners may more value vehicle performance, therefore logical
Crossing this is that different item information is assigned with its significance level to the mode of weight in owner information, can be further ensured that recommendation
Vehicle purchase use information is utmostly to meet the vehicle purchase use information of car owner's demand.
In addition, carry out weighted value imparting when, be also possible to be according to the significance level of every terms of information in owner information
It sorts, then the difference of the position obtained based on sequence is also with regard to the difference of respective weights value, so as to what is obtained according to sequence
Most important every terms of information screens vehicle purchase use information, and the vehicle for not meeting most important every terms of information is bought
Use information screens out, if there is also the vehicles for being greater than predetermined amount to buy use information, further according to the second important every terms of information
Vehicle purchase use information is screened, and so on, finishing screen, which is selected, to be most suitable for the vehicle purchase that current car owner requires and makes
It is vehicle recommendation information with information.Certainly other modes for setting according to actual needs, also the protection scope of the application it
It is interior.
A kind of Vehicular intelligent recommended method provided by the embodiments of the present application, the owner information based on target car owner determine vehicle
Recommendation information may include:
The owner information of target car owner is input in the Vehicular intelligent recommended models being pre-created, and determines Vehicular intelligent
The vehicle purchase use information of recommended models output is vehicle recommendation information；
The process that Vehicular intelligent recommended models are pre-created includes:
Acquisition includes the training information collection of multiple training informations, and presets disaggregated model based on the training of training information collection and obtain
To Vehicular intelligent recommended models, wherein training information includes that the owner information of purchase vehicle car owner, corresponding purchase in history use vehicle
Vehicle buy use information.
Wherein, default classifier can be support vector machines, k nearest neighbor etc., can specifically choose according to actual needs.Its
In, the information that use information includes is bought for realizing the owner information of the car owner of Vehicular intelligent recommended models and corresponding vehicle
The project project for including corresponding with target car owner is identical, suitable with the Vehicular intelligent recommended models got using training information training
Benefit determines vehicle recommendation information.It is further to note that determining vehicle corresponding with the owner information of target car owner in the application
The mode of recommendation information can there are many, corresponding informance such as can be manually chosen and inputted by staff, can also will be gone through
The owner information of car owner and vehicle purchase use information form corresponding relationship or influence relationship and then be based on the corresponding relationship in history
Or it influences relationship and determines vehicle purchase use information corresponding with target car owner etc., within the scope of protection of this application, this Shen
It middle please be realized by the way of disaggregated model, it can be quick to obtain after owner information is input to Vehicular intelligent recommended models
To vehicle recommendation information, improves method and realize efficiency.
A kind of Vehicular intelligent recommended method provided by the embodiments of the present application, the owner information for getting target car owner it
Afterwards, can also include:
It is confirmed whether that there are customized demand information with target car owner, if it is, being added customized demand information to target
In the owner information of car owner, and determine that the weight of customized demand information is greater than the weight of other every terms of information in owner information；Such as
Fruit is no, it is determined that without updating the owner information of target car owner.
It should be noted that car owner, there may be customized demand information, customized demand information is to preset car owner
When each project that information includes, the information that is not included in each project.In simple terms, every letter that owner information includes
Breath may be considered essential information, and customizing demand information is additional information, needs vehicle as customized demand information can be
The information of the special requirements such as producer, vehicle color.In target car owner confirmation, there are when customized demand information, need to need the customization
Information is asked to be added into owner information, and setting maximum for its weight is because usual customized demand information is that car owner exists the most
The information of meaning, therefore set maximum for its weight and enable to the vehicle recommendation information determined that can utmostly meet vehicle
Main demand.In addition, corresponding, in car owner, there are after customized demand information, need for the information project of customized demand information to be added
Into each training information of training Vehicular intelligent recommended models, to guarantee that it can be effectively for there are the vehicles of customized demand information
Main offer vehicle recommendation function.
It is further to note that can believe according to vehicle recommendation information and car owner after determining vehicle recommendation information
The matching degree of breath on earth shows corresponding vehicle recommendation information by height, to facilitate car owner to inquire and choose.
A kind of Vehicular intelligent recommended method provided by the embodiments of the present application, is added by customized demand information to target car owner
Owner information or after determining without updating the owner information of target car owner, can also include:
Confirm whether the owner information of target car owner is correct with target car owner, if it is, determining the car owner of target car owner
Acquisition of information is completed, if it is not, then instruction target car owner returns to modification information, and the vehicle based on modification information modification target car owner
Main information.
It specifically, can be and then true in target car owner by the terminal of owner information output valve target car owner for display
Recognize owner information it is correct when execute corresponding vehicle recommendation information determined based on owner information, otherwise, be then based on target carriage
The modification information of main return modifies owner information, to guarantee that the owner information for carrying out Vehicular intelligent recommendation is correct vehicle
Main information, and then guarantee the accuracy that Vehicular intelligent is recommended.
Vehicle recommendation information is being returned to target car owner by a kind of Vehicular intelligent recommended method provided by the embodiments of the present application
Later, can also include:
Target car owner purchase is determined using the vehicle purchase use information of vehicle, and by the owner information of target car owner and right
The vehicle purchase use information answered, which is added to training information, to be concentrated, and is obtained using the default disaggregated model of training information collection training new
Vehicular intelligent recommended models, and the determination of vehicle recommendation information is realized based on the new Vehicular intelligent recommended models when needed.
It should be noted that being added the owner information of target car owner and vehicle purchase use information to training information collection
In, it is actually the real-time update to training information collection, to guarantee the validity of training information collection, and then guarantees by training information collection
The validity for the Vehicular intelligent recommended models that training obtains.Wherein, the vehicle got using the training of updated training information
Intelligent recommendation model, the Vehicular intelligent recommended models for replacing last time training to obtain realize that corresponding Vehicular intelligent recommends function
Can, to realize the real-time update of Vehicular intelligent recommended models.
A kind of Vehicular intelligent recommended method provided by the embodiments of the present application, vehicle model information may include vehicle model, vehicle
It is the information of new car or used car, scheme for buying cars information may include loan for vehicle plan, sell car door shop information, car operation side
Case information may include vehicle be used to use by oneself, plan and the vehicle maintenance recycle program of shared vehicle or net about vehicle.
Information of vehicles may include every essential information of vehicle, and purchase scheme information may include how purchase vehicle
Relevant information, car operation scheme information may include the subsequent relevant information for how using vehicle, specifically, vehicle model information
Can include but is not limited to vehicle is new car or used car, vehicle model, type of vehicle (three-box car type, compact car, SUV etc.)
Deng, scheme for buying cars information can include but is not limited to loan for vehicle plan, sell car door shop (shop 4S) information, vehicle price etc., vehicle
It is for using by oneself, doing shared vehicle or net about vehicle and vehicle that it is subsequent, which to can include but is not limited to vehicle, for Management plan information
Subsequent maintenance/recycle program etc..So that target car owner can be comprehensively considered based on these information, selects and most accord with
The vehicle of conjunction demand is bought, and according to the scheme for buying cars information and car operation scheme information progress vehicle in these information
It purchase and subsequent uses.In general, the information item number that vehicle recommendation information includes is more, is more conducive to car owner and selects purchase
Buying car, purchase scheme and Management plan.
In addition, may exist between several any in vehicle model information, scheme for buying cars information and car operation scheme information
Corresponding relationship influences relationship.It illustrates this corresponding relationship or influence relationship to be specifically described, if car operation side
Case be it is personal, then tend to the more comfortable type of vehicle of purchase, and tend to buy the vehicle of vehicle price economy type；If
Car operation scheme is net about vehicle, then tends to buy compact car, and tends to account in full purchase vehicle to avoid because of influence of refunding
Net about vehicle business；Etc..The above is only a variety of situations illustrated in above-mentioned corresponding relationship or influence relationship, and this correspondence
Relationship or influence relationship be it is diversified, no longer do excessive explanation herein.Due to this corresponding relationship or influence depositing for relationship
, when recommending corresponding vehicle recommendation information for car owner, need to consider the relationship between information of vehicles and every scheme information,
And then recommend vehicle recommendation information more reasonable out for car owner, further increase the accuracy of vehicle recommendation.
The embodiment of the present application also provides a kind of Vehicular intelligent recommendation apparatus, as shown in Fig. 2, may include:
Determining module 11, is used for: after determining that car owner has purchase vehicle intention, being confirmed whether to need to carry out vehicle intelligence with car owner
It can recommend, if it is, determining that car owner is target car owner；
Module 12 is obtained, is used for: obtaining the owner information of target car owner, wherein owner information includes of corresponding car owner
People's information, work financial information and historical driving behavior information；
Recommending module 13, is used for: the owner information based on target car owner determines corresponding vehicle recommendation information, and by vehicle
Recommendation information returns to target car owner, wherein vehicle recommendation information includes vehicle model information, scheme for buying cars information and car operation
Scheme information.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application, recommending module may include:
Recommendation unit is used for: the vehicle pictures for including in the vehicle model information of vehicle recommendation information are shown to target car owner
In corresponding terminal.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application can also include:
Power module is assigned, is used for: after the owner information for obtaining target car owner, before determining vehicle recommendation information,
The significance level for the every terms of information for including in owner information based on target car owner assigns corresponding weight for every terms of information, and
The corresponding weight of every terms of information is added separately in owner information；Wherein, owner information include corresponding car owner personal information,
The financial information that works and historical driving behavior information.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application, recommending module may include:
Determination unit is used for: the owner information of target car owner is input in the Vehicular intelligent recommended models being pre-created,
And determine that the vehicle purchase use information of Vehicular intelligent recommended models output is vehicle recommendation information；
Device can also include:
First training module, is used for: acquisition includes the training information collection of multiple training informations, and is based on training information collection
The default disaggregated model of training obtains Vehicular intelligent recommended models, wherein training information includes the car owner's letter for purchasing vehicle car owner in history
Breath, corresponding purchase buy use information using the vehicle of vehicle.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application can also include:
First adding module, is used for: after the owner information for getting target car owner, being confirmed whether to deposit with target car owner
In customized demand information, if it is, being added customized demand information into the owner information of target car owner, and determine that customization needs
The weight of information is asked to be greater than the weight of other every terms of information in owner information；If it is not, then determining without updating target car owner's
Owner information.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application can also include:
Validation of information module, is used for: being added to the owner information of target car owner or determining nothing customized demand information
After the owner information that target car owner need to be updated, confirm whether the owner information of target car owner is correct with target car owner, if so,
It then determines that the owner information of target car owner obtains to complete, if it is not, then instruction target car owner returns to modification information, and based on modification
The owner information of information modification target car owner.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application can also include:
Second training module, is used for: after vehicle recommendation information is returned to target car owner, determining that target car owner buys
Use information is bought using the vehicle of vehicle, and the owner information of target car owner and corresponding vehicle purchase use information are added
It is concentrated to training information, presets disaggregated model using training information collection training and obtain new Vehicular intelligent recommended models, and needing
The determination of vehicle recommendation information is realized when wanting based on the new Vehicular intelligent recommended models.
The embodiment of the present application also provides a kind of Vehicular intelligent recommendation apparatus, as shown in figure 3, may include:
Memory 22, for storing computer program；
Processor 21, performs the steps of when for executing computer program
Determine that the car owner that there is purchase vehicle demand is target car owner；Obtain the owner information of target car owner, wherein owner information
Personal information, work financial information and historical driving behavior information including corresponding car owner；Owner information based on target car owner
It determines corresponding vehicle recommendation information, and vehicle recommendation information is returned into target car owner, wherein vehicle recommendation information includes
Vehicle model information, scheme for buying cars information and car operation scheme information.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application, processor execute the computer stored in memory
When subprogram, following steps specifically may be implemented: by the vehicle pictures for including in the vehicle model information of vehicle recommendation information show to
In the corresponding terminal of target car owner.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application, processor execute the computer stored in memory
When subprogram, following steps specifically may be implemented: after the owner information for obtaining target car owner, determining vehicle recommendation
Before breath, the significance level for the every terms of information for including in the owner information based on target car owner assigns corresponding for every terms of information
Weight, and the corresponding weight of every terms of information is added separately in owner information；Wherein, owner information includes of corresponding car owner
People's information, work financial information and historical driving behavior information.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application, processor execute the computer stored in memory
When subprogram, following steps specifically may be implemented: the owner information of target car owner being input to the Vehicular intelligent being pre-created and is pushed away
It recommends in model, and determines that the vehicle purchase use information of Vehicular intelligent recommended models output is vehicle recommendation information；And it obtains
Include the training information collection of multiple training informations, and Vehicular intelligent is obtained based on the default disaggregated model of training information collection training and is pushed away
Recommend model, wherein training information includes that the owner information of purchase vehicle car owner, corresponding purchase in history are made using the vehicle purchase of vehicle
Use information.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application, processor execute the computer stored in memory
When subprogram, following steps specifically may be implemented: after the owner information for getting target car owner, being with target car owner confirmation
No there are customized demand information, if it is, being added customized demand information into the owner information of target car owner, and determine and determine
The weight of demand information processed is greater than the weight of other every terms of information in owner information；If it is not, then determining without updating target carriage
Main owner information.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application, processor execute the computer stored in memory
When subprogram, following steps specifically may be implemented: by customized demand information be added to the owner information of target car owner or really
After the fixed owner information without updating target car owner, confirm whether the owner information of target car owner is correct with target car owner, such as
Fruit is, it is determined that the owner information of target car owner, which obtains, to be completed, if it is not, then instruction target car owner returns to modification information, and base
In the owner information of modification information modification target car owner.
A kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application, processor execute the computer stored in memory
When subprogram, following steps specifically may be implemented: after vehicle recommendation information is returned to target car owner, determining target car owner
Purchase buys use information using the vehicle of vehicle, and the owner information of target car owner and corresponding vehicle are bought use information
It is added to training information and concentrates, preset disaggregated model using training information collection training and obtain new Vehicular intelligent recommended models, and
The determination of vehicle recommendation information is realized based on the new Vehicular intelligent recommended models when needed.
The embodiment of the present application also provides a kind of computer readable storage medium, it is stored on computer readable storage medium
Following steps may be implemented in computer program when computer program is executed by processor:
Determine that the car owner that there is purchase vehicle demand is target car owner；Obtain the owner information of target car owner, wherein owner information
Personal information, work financial information and historical driving behavior information including corresponding car owner；Owner information based on target car owner
It determines corresponding vehicle recommendation information, and vehicle recommendation information is returned into target car owner, wherein vehicle recommendation information includes
Vehicle model information, scheme for buying cars information and car operation scheme information.
A kind of computer readable storage medium provided by the embodiments of the present application, the meter saved in computer readable storage medium
When calculation loom program is executed by processor, following steps specifically may be implemented: will include in the vehicle model information of vehicle recommendation information
Vehicle pictures show to the corresponding terminal of target car owner.
A kind of computer readable storage medium provided by the embodiments of the present application, the meter saved in computer readable storage medium
When calculation loom program is executed by processor, following steps specifically may be implemented: after the owner information for obtaining target car owner,
Before determining vehicle recommendation information, the significance level for the every terms of information for including in the owner information based on target car owner is each
Item information assigns corresponding weight, and the corresponding weight of every terms of information is added separately in owner information；Wherein, owner information
Personal information, work financial information and historical driving behavior information including corresponding car owner.
A kind of computer readable storage medium provided by the embodiments of the present application, the meter saved in computer readable storage medium
When calculation loom program is executed by processor, following steps specifically may be implemented: the owner information of target car owner is input in advance
In the Vehicular intelligent recommended models of creation, and determine that the vehicle purchase use information of Vehicular intelligent recommended models output pushes away for vehicle
Recommend information；And acquisition includes the training information collection of multiple training informations, and based on the default classification mould of training information collection training
Type obtains Vehicular intelligent recommended models, wherein training information includes the owner information for purchasing vehicle car owner in history, corresponding purchase use
The vehicle of vehicle buys use information.
A kind of computer readable storage medium provided by the embodiments of the present application, the meter saved in computer readable storage medium
When calculation loom program is executed by processor, following steps specifically may be implemented: after the owner information for getting target car owner,
It is confirmed whether that there are customized demand information with target car owner, if it is, being added customized demand information to the vehicle of target car owner
In main information, and determine that the weight of customized demand information is greater than the weight of other every terms of information in owner information；If it is not, then really
The fixed owner information without updating target car owner.
A kind of computer readable storage medium provided by the embodiments of the present application, the meter saved in computer readable storage medium
When calculation loom program is executed by processor, following steps specifically may be implemented: being added by customized demand information to target car owner
Owner information or after determining without updating the owner information of target car owner, the car owner of target car owner is confirmed with target car owner
Whether information is correct, completes if it is, determining that the owner information of target car owner obtains, if it is not, then instruction target car owner returns
Return modification information, and the owner information based on modification information modification target car owner.
A kind of computer readable storage medium provided by the embodiments of the present application, the meter saved in computer readable storage medium
When calculation loom program is executed by processor, following steps specifically may be implemented: vehicle recommendation information is being returned into target car owner
Later, target car owner purchase is determined using the vehicle purchase use information of vehicle, and by the owner information and correspondence of target car owner
Vehicle purchase use information be added to training information and concentrate, obtain new vehicle using the default disaggregated model of training information collection training
Intelligent recommendation model, and the determination of vehicle recommendation information is realized based on the new Vehicular intelligent recommended models when needed.
It should be noted that a kind of Vehicular intelligent recommendation apparatus provided by the embodiments of the present application, equipment and computer-readable
The explanation of relevant portion refers in a kind of Vehicular intelligent recommended method provided by the embodiments of the present application and corresponds to portion in storage medium
The detailed description divided, details are not described herein.In addition in above-mentioned technical proposal provided by the embodiments of the present application with it is right in the prior art
The consistent part of technical solution realization principle and unspecified is answered, in order to avoid excessively repeat.
The foregoing description of the disclosed embodiments makes art technology car owner can be realized or use the application.To this
A variety of modifications of a little embodiments will be apparent for art technology car owner, and the general principles defined herein can
Without departing from the spirit or scope of the application, to realize in other embodiments.Therefore, the application will not be limited
It is formed on the embodiments shown herein, and is to fit to consistent with the principles and novel features disclosed in this article widest
Range.
Claims (10)
1. a kind of Vehicular intelligent recommended method characterized by comprising
Determine that the car owner that there is purchase vehicle demand is target car owner；
Obtain the owner information of the target car owner；
Owner information based on the target car owner determines corresponding vehicle recommendation information, and the vehicle recommendation information is returned
Back to the target car owner, wherein the vehicle recommendation information includes vehicle model information, scheme for buying cars information and car operation scheme
Information.
2. the method according to claim 1, wherein it is new car that the vehicle model information, which includes vehicle model, vehicle,
Or the information of used car, the scheme for buying cars information include loan for vehicle plan, sell car door shop information, the car operation scheme
Information include vehicle be used to use by oneself, plan and the vehicle maintenance recycle program of shared vehicle or net about vehicle.
3. according to the method described in claim 2, it is characterized in that, the vehicle model information, the scheme for buying cars information and described
There are corresponding relationship or relationship is influenced between several any in car operation scheme information.
4. the method according to claim 1, wherein the owner information include corresponding car owner personal information,
The financial information that works and historical driving behavior information, after the owner information for obtaining the target car owner, described in determining
Before vehicle recommendation information, further includes:
The significance level for the every terms of information for including in owner information based on the target car owner assigns corresponding for every terms of information
Weight, and the corresponding weight of every terms of information is added separately in the owner information.
5. according to the method described in claim 4, it is characterized in that, the owner information based on the target car owner is determined
Vehicle recommendation information, comprising:
The owner information of the target car owner is input in the Vehicular intelligent recommended models being pre-created, and determines the vehicle
The vehicle purchase use information of intelligent recommendation model output is vehicle recommendation information；
The process that the Vehicular intelligent recommended models are pre-created includes:
Acquisition includes the training information collection of multiple training informations, and presets disaggregated model based on the training information collection training and obtain
To Vehicular intelligent recommended models, wherein the training information includes the owner information for purchasing vehicle car owner in history, corresponding purchase use
The vehicle of vehicle buys use information.
6. according to the method described in claim 5, it is characterized in that, after the owner information for getting the target car owner,
Further include:
Be confirmed whether that there are customized demand information with the target car owner, if it is, by the customized demand information be added to
In the owner information of the target car owner, and it is each to determine that the weight of the customized demand information is greater than other in the owner information
The weight of item information；If it is not, then determining the owner information without updating the target car owner.
7. according to the method described in claim 6, it is characterized in that, being added by the customized demand information to the target carriage
After main owner information or the determining owner information without updating the target car owner, further includes:
Confirm whether the owner information of the target car owner is correct with the target car owner, if it is, determining target car owner's
Owner information, which obtains, to be completed, if it is not, then indicating that the target car owner returns to modification information, and is modified based on the modification information
The owner information of the target car owner.
8. according to the described in any item methods of claim 5 to 7, which is characterized in that returned to by the vehicle recommendation information
After the target car owner, further includes:
Target car owner purchase is determined using the vehicle purchase use information of vehicle, and by the owner information of the target car owner
And corresponding vehicle purchase use information is added to the training information and concentrates, and utilizes the default classification of the training information collection training
Model obtains new Vehicular intelligent recommended models, and realizes that vehicle is recommended based on the new Vehicular intelligent recommended models when needed
The determination of information.
9. a kind of Vehicular intelligent recommendation apparatus characterized by comprising
Determining module is used for: after determining that car owner has purchase vehicle intention, being confirmed whether to need to carry out Vehicular intelligent with the car owner
Recommend, if it is, determining that the car owner is target car owner；
Module is obtained, is used for: obtaining the owner information of the target car owner；
Recommending module is used for: the owner information based on the target car owner determines corresponding vehicle recommendation information, and will be described
Vehicle recommendation information returns to the target car owner, wherein the vehicle recommendation information includes vehicle model information, scheme for buying cars information
And car operation scheme information.
10. a kind of Vehicular intelligent recommendation apparatus characterized by comprising
Memory, for storing computer program；
Processor realizes the Vehicular intelligent recommendation side as described in any one of claim 1 to 8 when for executing the computer program
The step of method.
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| CN201811287499.3A CN109300018A (en) | 2018-10-31 | 2018-10-31 | A kind of Vehicular intelligent recommended method, device, equipment and storage medium |
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