CN108230094A - Vehicle recommends method and device - Google Patents

Vehicle recommends method and device Download PDF

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Publication number
CN108230094A
CN108230094A CN201711404048.9A CN201711404048A CN108230094A CN 108230094 A CN108230094 A CN 108230094A CN 201711404048 A CN201711404048 A CN 201711404048A CN 108230094 A CN108230094 A CN 108230094A
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China
Prior art keywords
information
preference
vehicle
user
vehicles
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CN201711404048.9A
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Chinese (zh)
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CN108230094B (en
Inventor
王俊豪
郑怀海
朱颖
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Golden Melon Seed Technology Development (beijing) Co Ltd
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Golden Melon Seed Technology Development (beijing) Co Ltd
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Priority to CN201711404048.9A priority Critical patent/CN108230094B/en
Publication of CN108230094A publication Critical patent/CN108230094A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation

Abstract

This disclosure relates to a kind of vehicle recommends method and device.This method includes:During the information displayed page of displaying current vehicle, the preference information of user is determined in the multinomial information of vehicles of the current vehicle included from information displayed page;Determine the user preference weights corresponding to preference information;According to preference information and user preference weights, the vehicle list to match with user preference is determined;When returning to vehicle list displaying interface, vehicle list is shown in vehicle list shows interface.Vehicle that the embodiment of the present disclosure is provided recommends method and device, can be user in real time, the vehicle accurately recommended, simplify the operation of user, save the lookup time of user.

Description

Vehicle recommends method and device
Technical field
This disclosure relates to field of computer technology more particularly to a kind of vehicle recommend method and device.
Background technology
With the continuous development of science and technology, user can online be screened by various websites, check, buy vehicle.But In the relevant technologies, website accurately cannot recommend vehicle, and recommend the real-time of vehicle poor for user according to the demand of user, use Family needs consuming longer time to go to filter out the vehicle of meet demand.
Invention content
In view of this, the present disclosure proposes a kind of vehicles to recommend method and device.
According to the disclosure in a first aspect, providing a kind of vehicle recommends method, including:
During the information displayed page of displaying current vehicle, the current vehicle that is included from described information displayed page Multinomial information of vehicles in determine user preference information;
Determine the user preference weights corresponding to the preference information;
According to the preference information and the user preference weights, the vehicle list to match with user preference is determined;
When returning to vehicle list displaying interface, the vehicle list is shown in the vehicle list shows interface,
Wherein, the information of vehicles includes at least one of following:The detection information of vehicle, parameter information, guarantor sell information, vehicle Picture and use information.
For the above method, in a kind of possible realization method, the user preference corresponding to the preference information is determined Weights, including:
According to the preference information corresponding displaying time and/or the importance of operation for the preference information, really User preference weights corresponding to the fixed preference information.
For the above method, in a kind of possible realization method, weighed according to the preference information and the user preference Value determines the vehicle list to match with user preference, including:
Based on the preference information and the user preference weights, determine every in the current vehicle list where current vehicle Current weight corresponding to the multinomial information of vehicles of trolley;
Based on the current weight, the weighted sum per trolley is calculated;
The vehicle in the preference section of the user is according to the weighted sum of acquisition, determines the vehicle list,
Wherein, the preference section is weighed according to by the multinomial information of vehicles of the current vehicle and the user preference What the preference value that value obtains determined, the range in the preference section reduces with the increase of the preference value.
For the above method, in a kind of possible realization method, the current vehicle that is included from described information displayed page Multinomial information of vehicles in determine user preference information, including:
Obtain the displaying time of the information of vehicles of the current vehicle;
It is in the case where the displaying time is greater than or equal to time threshold, the information of vehicles of corresponding current vehicle is true It is set to the preference information.
For the above method, in a kind of possible realization method, the current vehicle that is included from described information displayed page Multinomial information of vehicles in determine user preference information, including:
In the case where detecting the user to the operation of the information of vehicles of the current vehicle, by corresponding current vehicle Information of vehicles be determined as the preference information,
Wherein, the operation includes the information inspection for the current vehicle, collects, shares, preengaging and check and knock down-price At least one of.
For the above method, in a kind of possible realization method, the user preference corresponding to the preference information is determined Weights, including:
According to the historical behavior of the user, the user preference weights are modified.
According to the second aspect of the disclosure, a kind of vehicle recommendation apparatus is provided, including:
Preference information determining module during the information displayed page of displaying current vehicle, is shown from described information The preference information of user is determined in the multinomial information of vehicles for the current vehicle that the page includes;
Weights determining module determines the user preference weights corresponding to the preference information;
List determining module according to the preference information and the user preference weights, determines to match with user preference Vehicle list;
When returning to vehicle list displaying interface, institute is shown in the vehicle list shows interface for list display module Vehicle list is stated,
Wherein, the information of vehicles includes at least one of following:The detection information of vehicle, parameter information, guarantor sell information, vehicle Picture and use information.
For above device, in a kind of possible realization method, the weights determining module, including:
Weights determination sub-module, according to the preference information corresponding displaying time and/or for the preference information The importance of operation determines the user preference weights corresponding to the preference information.
For above device, in a kind of possible realization method, the list determining module, including:
Current weight determination sub-module based on the preference information and the user preference weights, determines current vehicle institute Current vehicle list in per trolley multinomial information of vehicles corresponding to current weight;
Weighted calculation module based on the current weight, calculates the weighted sum per trolley;
List determination sub-module is in the vehicle in the preference section of the user according to the weighted sum of acquisition, determines described Vehicle list,
Wherein, the preference section is weighed according to by the multinomial information of vehicles of the current vehicle and the user preference What the preference value that value obtains determined, the range in the preference section reduces with the increase of the preference value.
For above device, in a kind of possible realization method, the preference information determining module, including:
Time determination sub-module obtains the displaying time of the information of vehicles of the current vehicle;
First determination sub-module, will be corresponding current in the case where the displaying time is greater than or equal to time threshold The information of vehicles of vehicle is determined as the preference information.
For above device, in a kind of possible realization method, the preference information determining module, including:
Second determination sub-module, in the situation for detecting operation of the user to the information of vehicles of the current vehicle Under, the information of vehicles of corresponding current vehicle is determined as the preference information,
Wherein, the operation includes the information inspection for the current vehicle, collects, shares, preengaging and check and knock down-price At least one of.
For above device, in a kind of possible realization method, the weights determining module, including:
Modified weight submodule according to the historical behavior of the user, is modified the user preference weights.
According to the third aspect of the disclosure, a kind of vehicle recommendation apparatus is provided, including:Processor;It is handled for storage The memory of device executable instruction;Wherein, the processor is configured as performing above-mentioned vehicle recommendation method.
According to the fourth aspect of the disclosure, a kind of non-volatile computer readable storage medium storing program for executing is provided, is stored thereon with Computer program instructions, wherein, the computer program instructions realize that above-mentioned vehicle recommends method when being executed by processor.
The vehicle that the embodiment of the present disclosure is provided recommends method and device, is showing the information displayed page of current vehicle In the process, the preference information of user is determined from the multinomial information of vehicles for the current vehicle that information displayed page includes;According to true Fixed preference information and user preference weights determine the vehicle list to match with user preference;Returning to vehicle list displaying During interface, vehicle list is shown in vehicle list shows interface.Can be user in real time, the vehicle accurately recommended, simplify The operation of user saves lookup time of user.
According to below with reference to the accompanying drawings to detailed description of illustrative embodiments, the other feature and aspect of the disclosure will become It is clear.
Description of the drawings
Comprising in the description and the attached drawing of a part for constitution instruction and specification together illustrate the disclosure Exemplary embodiment, feature and aspect, and the principle for explaining the disclosure.
Fig. 1 shows to recommend the flow chart of method according to the vehicle of one embodiment of the disclosure;
Fig. 2 shows the flow charts of step S11 in the vehicle recommendation method according to one embodiment of the disclosure;
Fig. 3 shows the flow chart of step S13 in the vehicle recommendation method according to one embodiment of the disclosure;
Fig. 4 a show to recommend the schematic diagram of the application scenarios of method according to the vehicle of one embodiment of the disclosure;
Fig. 4 b show to recommend the schematic diagram of the application scenarios of method according to the vehicle of one embodiment of the disclosure;
Fig. 4 c show to recommend the schematic diagram of the application scenarios of method according to the vehicle of one embodiment of the disclosure;
Fig. 5 shows the block diagram of the vehicle recommendation apparatus according to one embodiment of the disclosure;
Fig. 6 shows the block diagram of the vehicle recommendation apparatus according to one embodiment of the disclosure;
Fig. 7 shows the block diagram of the device 800 recommended for vehicle according to one embodiment of the disclosure.
Specific embodiment
Various exemplary embodiments, feature and the aspect of the disclosure are described in detail below with reference to attached drawing.It is identical in attached drawing Reference numeral represent functionally the same or similar element.Although the various aspects of embodiment are shown in the drawings, remove It non-specifically points out, it is not necessary to attached drawing drawn to scale.
Dedicated word " exemplary " means " being used as example, embodiment or illustrative " herein.Here as " exemplary " Illustrated any embodiment should not necessarily be construed as preferred or advantageous over other embodiments.
In addition, in order to better illustrate the disclosure, numerous details is given in specific embodiment below. It will be appreciated by those skilled in the art that without certain details, the disclosure can equally be implemented.In some instances, for Method well known to those skilled in the art, means, element and circuit are not described in detail, in order to highlight the purport of the disclosure.
Fig. 1 shows to recommend the flow chart of method according to the vehicle of one embodiment of the disclosure.As shown in Figure 1, this method can be with In recommendation applied to vehicles such as new car, used cars.This method can be applied to the terminal devices such as mobile phone, tablet or service In device.This method can include step S11 to step S14.
In step s 11, it during the information displayed page of displaying current vehicle, is included from information displayed page The preference information of user is determined in the multinomial information of vehicles of current vehicle.
Wherein, information of vehicles can include at least one of following:The detection information of vehicle, parameter information, guarantor sell information, vehicle Picture and use information.
In the present embodiment, the vehicle for being user's displaying can be used car or new car, can be according to displaying vehicle Type, the particular content included to the particular content included by information of vehicles and each information is configured.For example, In the case where the vehicle shown for user is second-hand vehicle, information of vehicles can include the detection information of vehicle, parameter information, Guarantor sells information, vehicle pictures and use information.Wherein, the detection information of vehicle can include carrying out second-hand vehicle all kinds of Detection and its testing result.For example, the detection of accident investigation, core component detection, common function detection, starting and driving detection and outer See every performance-relevant detections with second-hand vehicle such as interior trim detection.The guarantor of vehicle, which sells information, can include the vehicle of second-hand vehicle Condition, price whether rationally, the same day whether can put forward the information such as vehicle, user is based on protecting the dealing shape selling information and will be seen that the vehicle Formula.The vehicle pictures of vehicle are in the relevant picture such as the current appearance of second-hand vehicle and internal interior trim.User is facilitated to be based on Vehicle pictures know the overview of vehicle.The parameter information of vehicle can include the basic letter such as manufacturer, body structure of second-hand vehicle Information, chassis and the braking informations such as breath, discharge capacity, the intake type of engine, security configuration information, exterior arrangement information and inside Configuration information etc..The use information of vehicle can include the time of registering the license of second-hand vehicle, register the license ground, table show mileage, service life Deng with the relevant information of the behaviour in service of second-hand vehicle.
In the present embodiment, time that can be according to every information of vehicles of the current vehicle shown for user, user couple The operation of every information of vehicles of current vehicle determines the preference information of user.
In step s 12, the user preference weights corresponding to preference information are determined.
In a kind of possible realization method, step S12 can include:According to preference information it is corresponding displaying the time and/ Or the importance of the operation for preference information, determine the user preference weights corresponding to preference information.
In the present embodiment, can according to corresponding to preference information the displaying time, the user that detects is to preference information User preference weights corresponding to the determining preference information such as the importance of the operation carried out.First, can only in accordance with displaying when Between determine preference information user preference weights, then the displaying time of preference information is longer, corresponding user preference weights It is bigger.Second, the operation of preference information can also be directed to according to preference information corresponding displaying time and the user detected Importance determine the user preference weights of preference information.Then the displaying time of preference information is longer, and the user's needle detected Relatively more important to the operation of preference information, corresponding user preference weights are bigger.Detect for preference information Operation can include the information inspection for current vehicle, collect, shares, preengage the operations such as check and knock down-price, can be according to not Biconditional operation characterizes user and the possible interested degree of the information of vehicles of the current vehicle of current vehicle or displaying is determined to operate Importance.For example, can set knock down-price, preengage check, collect, sharing, the importance of information inspection reduces successively.This field Technical staff can according to actual needs be configured the method for determination of user preference weights, and the disclosure is not restricted this.
In a kind of possible realization method, step S12 can include:According to the historical behavior of user, to user preference Weights are modified.
It, can be according to determining use such as the browsing history of user after user preference weights are determined in the realization method The historical behavior at family, and then determine user before to the attention rate of preference information according to the historical behavior of user.User is to preference The attention rate of information is higher, and the revised user preference weights corresponding to preference information are bigger.In this way, it can combine user's Historical behavior is modified user preference weights, it is ensured that user preference weights can more accurately represent the preference of user.
It, can be according to multiple current vehicles of having checked after determine user preference weights in the realization method Browsing history of user etc. determines the historical behavior of multiple users, and then determines multiple users according to the historical behavior of multiple users To the attention rate of preference information.The attention rate of user preference information is higher, the revised user preference corresponding to preference information Weights are bigger.In this way, the historical behavior that can combine multiple users is modified user preference weights, it is ensured that user preference is weighed Value can more accurately express the preference of user.
In step s 13, according to preference information and user preference weights, the vehicle stock to match with user preference is determined Table.
In the present embodiment, the preference with user is filtered out from Che Yuanku according to preference information and user preference weights The multiple vehicles matched.The matching degree of its vehicle and user preference is bigger, and position of the vehicle in vehicle list is more forward, user Can be earlier check the vehicle.
In the present embodiment, preference information and user preference weights can be uploaded to corresponding server by terminal device, Server determines the vehicle list to match with user preference according to preference information and user preference weights, and by vehicle list It is sent to terminal device.It should be understood that the detailed process that mode well known in the art realizes step S13 may be used, this It is open that this is not restricted.
In step S14, when returning to vehicle list displaying interface, vehicle stock is shown in vehicle list shows interface Table.
In the present embodiment, when can exit information displayed page in user, and return to vehicle list displaying interface, Vehicle list in vehicle list displaying interface obtained in displaying step S13, to replace it the preceding vehicle list shown.This Sample can update vehicle list in real time according to the current operation of user, and the vehicle recommended for user is more accurate, simplifies use The operation at family, save user checks the time.User's displaying can also be continued as in the displaying for completing information displayed page Vehicle list.For example, being the bottom that user is shown to information displaying interface, directly after information shows interface, continue as User shows vehicle list.The disclosure is not restricted this.
Fig. 2 shows the flow charts of step S11 in the vehicle recommendation method according to one embodiment of the disclosure.
In a kind of possible realization method, as shown in Fig. 2, in step S11, the current vehicle that is included from information displayed page Multinomial information of vehicles in determine user preference information, step S111 and step S112 can be included.
In step S111, the displaying time of the information of vehicles of current vehicle is obtained.
In the realization method, can by information show interface in information of vehicles occur in the visible interface of user when Between be determined as displaying time of information of vehicles.
In step S112 in the case where the displaying time is greater than or equal to time threshold, by corresponding current vehicle Information of vehicles is determined as preference information.
In the realization method, the time threshold corresponding to different information of vehicles may be the same or different.It is multinomial Information of vehicles can correspond to a time threshold, and each information of vehicles can also correspond to a time threshold respectively.Can according to Family can clearly check the time needed for determining information of vehicles, determine time threshold.For example, in the ginseng that vehicle is shown for user During number information, it need to be that user at least shows 1 minute, just can guarantee that user can check, understand the particular content of parameter information, then Time threshold corresponding to parameter information can be set as 1 minute, in the displaying time for being determined as user's presentation parameter information In the case of more than or equal to 1 minute, determine that user is interested in the parameter information, is determined as preference information.
In a kind of possible realization method, step S11 can also include:Detecting vehicle of the user to current vehicle In the case of the operation of information, the information of vehicles of corresponding current vehicle is determined as preference information.Wherein, operation can include Information inspection for current vehicle is collected, is shared, preengaging and at least one of check and knock down-price.It in this way, can be with for user The information of vehicles of operation can be determined as preference information when detecting user's operation.
Fig. 3 shows the flow chart of step S13 in the vehicle recommendation method according to one embodiment of the disclosure.
In a kind of possible realization method, as shown in figure 3, step S13 can include step S131 to step S133.
In step S131, based on preference information and user preference weights, the current vehicle row where current vehicle are determined The current weight corresponding to multinomial information of vehicles in table per trolley.
Can be that every information of vehicles setting of vehicle is first according to the difference of user's attention degree in the realization method Beginning weights.The multinomial information of vehicles of vehicle in current vehicle list with preference information can be compared, be arranged in current vehicle It, can be by the current power of the information of vehicles of vehicle in current vehicle list when the information of vehicles of vehicle is identical with preference information in table Value is determined as the user preference weights corresponding to preference information.The information of vehicles and preference information of vehicle in current vehicle list When differing, the current weight of the information of vehicles of vehicle in current vehicle list can be determined as initial weight.In this way, with Family is that user recommends vehicle on the basis of retrieving obtained current vehicle list, and the vehicle of recommendation is more accurate.
In the realization method, the vehicle for meeting user preference can also be obtained directly from the Che Yuanku including all vehicles .In this way, the quantity bigger of acquired vehicle, involved range are wider.
In step S132, based on current weight, the weighted sum per trolley is calculated.
In the realization method, multinomial information of vehicles and every information of vehicles institute based on vehicle in current vehicle list are right The weights answered calculate the weighted sum per trolley.
In step S133, the vehicle in preference value section is according to the weighted sum of acquisition, determines vehicle list.Wherein, Preference section is that the preference value obtained according to the multinomial information of vehicles and user preference weights by current vehicle determines, preference The range in section reduces with the increase of preference value.
In the realization method, the vehicle that weighted sum in current vehicle list is in preference value section is determined as and user Match those vehicle.According to the size of the weighted sum with the matched vehicle of the preference value of user, according to weighted sum from big To small sequence, successively by vehicle show in vehicle list, to ensure being preferably that user shows that weighted sum is big, more meets user The vehicle of demand.
In the realization method, preference of the user to current vehicle, user can be determined according to the size of preference value More like current vehicle, the vehicle and the matched degree of current vehicle in the vehicle list recommended for user are higher.That is, true When the preference value of fixed user is larger, illustrate that user is delithted with current vehicle, then the smaller preference section of range is set, with for use Family is recommended and the smaller vehicle of current vehicle deviation;When the preference value of determining user is smaller, illustrate user to current vehicle Fancy grade it is general, then the preference value section that range is larger is set, with for user recommend and current vehicle have certain deviation Vehicle allows user widely to check vehicle.Can be according to the size of preference value, different preference values sets corresponding inclined Good interval range.In this way, according to user to the difference of current vehicle preference, it, can for the recommendation of user's progress different scale To better meet the use demand of user.
It should be noted that although vehicle is described using above-described embodiment as example recommends method as above, this field Technical staff is it is understood that the disclosure should be without being limited thereto.In fact, user completely can be according to personal like and/or practical application Scene flexibly sets each step, as long as meeting the technical solution of the disclosure.
The vehicle that the embodiment of the present disclosure is provided recommends method, in the process of the information displayed page of displaying current vehicle In, the preference information of determining user in the multinomial information of vehicles of the current vehicle included from information displayed page;According to determining Preference information and user preference weights determine the vehicle list to match with user preference;Returning to vehicle list displaying interface When, show vehicle list in vehicle list shows interface.Can vehicle be recommended for user in real time, the vehicle for user's recommendation Accuracy is high, simplifies the operation of user, saves the lookup time of user.
Using example
Below in conjunction with " user search used car " property application scenarios as an example, provide according to the embodiment of the present disclosure Using example, in order to understand that vehicle recommends the flow of method.It will be understood by those skilled in the art that it is only using example below For the purpose for being easy to understand the embodiment of the present disclosure, it is not construed as the limitation to the embodiment of the present disclosure.
Fig. 4 a, Fig. 4 b and Fig. 4 c show to recommend the signal of the application scenarios of method according to the vehicle of one embodiment of the disclosure Figure.As shown in fig. 4 a, it is shown in vehicle list display interface according to search condition input by user and is determined according to search condition , vehicle list 1 includes:The second-hand vehicle in part that the current interface shown in Fig. 4 a can be shown:Vehicle Q, vehicle W, vehicle E, Vehicle R, vehicle T and vehicle Y;And it is not shown in the second-hand vehicle in current interface:Vehicle A, vehicle D, vehicle F and vehicle J. In the case of the second-hand vehicle Q clicked in vehicle list 1 in user, as shown in Figure 4 b, the information of second-hand vehicle Q is shown for user Displayed page Q-1.
The detection information of the second-hand vehicle Q of detection acquisition, parameter information, guarantor sell information, vehicle pictures and use information difference The corresponding displaying time, in the case where the displaying time is greater than or equal to time threshold, by the vehicle corresponding to the displaying time Information is determined as preference information.And the further user preference according to corresponding to the displaying time of preference information determines preference information Weights.
According to preference information and user preference weights, the multinomial information of vehicles of every second-hand vehicle in vehicle list 1 is determined Corresponding current weight.Based on current weight, the weighted sum of every second-hand vehicle is calculated.For example, the weighted sum of vehicle W is 40th, the weighted sum of vehicle E is 79, the weighted sum of vehicle R is 42, the weighted sum of vehicle T is 44 and the weighted sum of vehicle Y is 21, The weighted sum of vehicle A is 78, the weighted sum of vehicle D is 82, the weighted sum of vehicle F is 81 and the weighted sum of vehicle J is 80.According to The weighted sum of acquisition and the 82 matched vehicle of preference value of user, determine vehicle list 2.If the siding-to-siding block length of user setting is 8, Then preference value section is [74,82], then vehicle A, vehicle E, vehicle D, vehicle F and vehicle J are matched vehicle.According to weighted sum Sequence from big to small obtains vehicle list 2 as illustrated in fig. 4 c.
As illustrated in fig. 4 c, when returning to vehicle list displaying interface, vehicle list is shown in vehicle list shows interface 2。
In this way, can according to the current behavior of user, for user in real time, the vehicle accurately recommended, simplify user's Operation saves the lookup time of user.
Fig. 5 shows the block diagram of the vehicle recommendation apparatus according to one embodiment of the disclosure.As shown in figure 5, the device can wrap Include preference information determining module 501, weights determining module 502, list determining module 503 and list display module 504.
The preference information determining module 501 is configured as during the information displayed page of displaying current vehicle, from The preference information of user is determined in the multinomial information of vehicles for the current vehicle that information displayed page includes.The weights determining module 502 are configured to determine that the user preference weights corresponding to preference information.The list determining module 503 is configured as according to preference Information and user preference weights determine the vehicle list to match with user preference.The list display module 504 is configured as When returning to vehicle list displaying interface, vehicle list is shown in vehicle list shows interface.Wherein, information of vehicles can include At least one of below:The detection information of vehicle, parameter information, guarantor sell information, vehicle pictures and use information.
Fig. 6 shows the block diagram of the vehicle recommendation apparatus according to one embodiment of the disclosure.
In a kind of possible realization method, as shown in fig. 6, weights determining module 502 can determine submodule including weights Block 5021.The weights determination sub-module 5021 is configured as believing according to the preference information corresponding displaying time and/or for preference The importance of the operation of breath determines the user preference weights corresponding to preference information.
In a kind of possible realization method, as shown in fig. 6, list determining module 503 can be determined including current weight Submodule 5031, weighted calculation module 5032 and list determination sub-module 5033.The current weight determination sub-module 5031 by with It is set to based on the preference information and the user preference weights, determines in the current vehicle list where current vehicle per trolley Multinomial information of vehicles corresponding to current weight.The weighted calculation module 5032 is configured as based on the current weight, Calculate the weighted sum per trolley.The list determination sub-module 5033 is configured as being in the user according to the weighted sum of acquisition Preference section vehicle, determine the vehicle list.Wherein, the preference section is according to the multinomial vehicle by current vehicle What the preference value that information and user preference weights obtain determined, the range in preference section reduces with the increase of preference value.
In a kind of possible realization method, as shown in fig. 6, the preference information determining module 501 can include the time 5011 and first determination sub-module 5012 of determination sub-module.The time determination sub-module 5011 is configured as obtaining the current vehicle Information of vehicles the displaying time.First determination sub-module 5012 is configured as when being greater than or equal to the displaying time Between in the case of threshold value, the information of vehicles of corresponding current vehicle is determined as the preference information.
In a kind of possible realization method, determined as shown in fig. 6, the preference information determining module can include second Submodule 5013.Second determination sub-module 5013 is configured as detecting vehicle letter of the user to the current vehicle In the case of the operation of breath, the information of vehicles of corresponding current vehicle is determined as the preference information.Wherein, the operation packet The information inspection for the current vehicle is included, collects, share, preengaging and at least one of check and knock down-price.
In a kind of possible realization method, as shown in fig. 6, the weights determining module 502 can include modified weight Submodule 5022.The modified weight submodule 5022 is configured as the historical behavior according to the user, to the user preference Weights are modified.
The vehicle recommendation apparatus that the embodiment of the present disclosure is provided, in the process of the information displayed page of displaying current vehicle In, the preference information of determining user in the multinomial information of vehicles of the current vehicle included from information displayed page;According to determining Preference information and user preference weights determine the vehicle list to match with user preference;Returning to vehicle list displaying interface When, show vehicle list in vehicle list shows interface.Can be user in real time, the vehicle accurately recommended, simplify use The operation at family saves the lookup time of user.
Fig. 7 shows the block diagram of the device 800 recommended for vehicle according to one embodiment of the disclosure.For example, device 800 can To be mobile phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices are good for Body equipment, personal digital assistant etc..
With reference to Fig. 7, device 800 can include following one or more components:Processing component 802, memory 804, power supply Component 806, multimedia component 808, audio component 810, the interface 812 of input/output (I/O), sensor module 814 and Communication component 816.
The integrated operation of 802 usual control device 800 of processing component, such as with display, call, data communication, phase Machine operates and record operates associated operation.Processing component 802 can refer to including one or more processors 820 to perform It enables, to perform all or part of the steps of the methods described above.In addition, processing component 802 can include one or more modules, just Interaction between processing component 802 and other assemblies.For example, processing component 802 can include multi-media module, it is more to facilitate Interaction between media component 808 and processing component 802.
Memory 804 is configured as storing various types of data to support the operation in device 800.These data are shown Example includes the instruction of any application program or method for being operated on device 800, contact data, and telephone book data disappears Breath, picture, video etc..Memory 804 can be by any kind of volatibility or non-volatile memory device or their group It closes and realizes, such as static RAM (SRAM), electrically erasable programmable read-only memory (EEPROM) is erasable to compile Journey read-only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash Device, disk or CD.
Power supply module 806 provides electric power for the various assemblies of device 800.Power supply module 806 can include power management system System, one or more power supplys and other generate, manage and distribute electric power associated component with for device 800.
Multimedia component 808 is included in the screen of one output interface of offer between described device 800 and user.One In a little embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen Curtain may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touch sensings Device is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or sliding action Boundary, but also detect duration and pressure associated with the touch or slide operation.In some embodiments, more matchmakers Body component 808 includes a front camera and/or rear camera.When device 800 is in operation mode, such as screening-mode or During video mode, front camera and/or rear camera can receive external multi-medium data.Each front camera and Rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio component 810 is configured as output and/or input audio signal.For example, audio component 810 includes a Mike Wind (MIC), when device 800 is in operation mode, during such as call model, logging mode and speech recognition mode, microphone by with It is set to reception external audio signal.The received audio signal can be further stored in memory 804 or via communication set Part 816 is sent.In some embodiments, audio component 810 further includes a loud speaker, for exports audio signal.
I/O interfaces 812 provide interface between processing component 802 and peripheral interface module, and above-mentioned peripheral interface module can To be keyboard, click wheel, button etc..These buttons may include but be not limited to:Home button, volume button, start button and lock Determine button.
Sensor module 814 includes one or more sensors, and the state for providing various aspects for device 800 is commented Estimate.For example, sensor module 814 can detect opening/closed state of device 800, and the relative positioning of component, for example, it is described Component is the display and keypad of device 800, and sensor module 814 can be with 800 1 components of detection device 800 or device Position change, the existence or non-existence that user contacts with device 800,800 orientation of device or acceleration/deceleration and device 800 Temperature change.Sensor module 814 can include proximity sensor, be configured to detect without any physical contact Presence of nearby objects.Sensor module 814 can also include optical sensor, such as CMOS or ccd image sensor, for into As being used in application.In some embodiments, which can also include acceleration transducer, gyro sensors Device, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 816 is configured to facilitate the communication of wired or wireless way between device 800 and other equipment.Device 800 can access the wireless network based on communication standard, such as WiFi, 2G or 3G or combination thereof.In an exemplary implementation In example, communication component 816 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel. In one exemplary embodiment, the communication component 816 further includes near-field communication (NFC) module, to promote short range communication.Example Such as, NFC module can be based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology, Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 800 can be believed by one or more application application-specific integrated circuit (ASIC), number Number processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for performing the above method.
In the exemplary embodiment, a kind of non-volatile computer readable storage medium storing program for executing is additionally provided, such as including calculating The memory 804 of machine program instruction, above computer program instruction can be performed above-mentioned to complete by the processor 820 of device 800 Method.
The presently disclosed embodiments is described above, above description is exemplary, and non-exclusive, and It is not limited to disclosed each embodiment.In the case of without departing from the scope and spirit of illustrated each embodiment, for this skill Many modifications and changes will be apparent from for the those of ordinary skill in art field.The selection of term used herein, purport In the principle for best explaining each embodiment, practical application or to the technological improvement of the technology in market or lead this technology Other those of ordinary skill in domain are understood that each embodiment disclosed herein.

Claims (12)

1. a kind of vehicle recommends method, which is characterized in that including:
During the information displayed page of displaying current vehicle, the current vehicle that is included from described information displayed page it is more The preference information of user is determined in item information of vehicles;
Determine the user preference weights corresponding to the preference information;
According to the preference information and the user preference weights, the vehicle list to match with user preference is determined;
When returning to vehicle list displaying interface, the vehicle list is shown in the vehicle list shows interface,
Wherein, the information of vehicles includes at least one of following:The detection information of vehicle, parameter information, guarantor sell information, vehicle figure Piece and use information.
2. according to the method described in claim 1, it is characterized in that, determine the user preference power corresponding to the preference information Value, including:
According to the preference information corresponding displaying time and/or the importance of the operation for the preference information, institute is determined State the user preference weights corresponding to preference information.
3. according to the method described in claim 1, it is characterized in that, according to the preference information and the user preference weights, Determine the vehicle list to match with user preference, including:
Based on the preference information and the user preference weights, determine in the current vehicle list where current vehicle per trolley Multinomial information of vehicles corresponding to current weight;
Based on the current weight, the weighted sum per trolley is calculated;
The vehicle in the preference section of the user is according to the weighted sum of acquisition, determines the vehicle list,
Wherein, the preference section is that basis is obtained by the multinomial information of vehicles and the user preference weights of the current vehicle What the preference value obtained determined, the range in the preference section reduces with the increase of the preference value.
4. according to the method described in claim 1, it is characterized in that, the current vehicle included from described information displayed page it is more The preference information of user is determined in item information of vehicles, including:
Obtain the displaying time of the information of vehicles of the current vehicle;
In the case where the displaying time is greater than or equal to time threshold, the information of vehicles of corresponding current vehicle is determined as The preference information.
5. according to the method described in claim 1, it is characterized in that, the current vehicle included from described information displayed page it is more The preference information of user is determined in item information of vehicles, including:
In the case where detecting the user to the operation of the information of vehicles of the current vehicle, by corresponding current vehicle Information of vehicles is determined as the preference information,
Wherein, during the operation includes the information inspection for the current vehicle, collects, shares, preengage and check and knock down-price It is at least one.
6. method according to claim 1 or 2, which is characterized in that determine the user preference corresponding to the preference information Weights, including:
According to the historical behavior of the user, the user preference weights are modified.
7. a kind of vehicle recommendation apparatus, which is characterized in that including:
Preference information determining module, during the information displayed page of displaying current vehicle, from described information displayed page Comprising current vehicle multinomial information of vehicles in determine user preference information;
Weights determining module determines the user preference weights corresponding to the preference information;
List determining module according to the preference information and the user preference weights, determines the vehicle to match with user preference List;
When returning to vehicle list displaying interface, the vehicle is shown in the vehicle list shows interface for list display module List,
Wherein, the information of vehicles includes at least one of following:The detection information of vehicle, parameter information, guarantor sell information, vehicle figure Piece and use information.
8. device according to claim 7, which is characterized in that the weights determining module, including:
Weights determination sub-module, according to the preference information corresponding displaying time and/or the operation for the preference information Importance, determine the user preference weights corresponding to the preference information.
9. device according to claim 7, which is characterized in that the list determining module, including:
Current weight determination sub-module, based on the preference information and the user preference weights, where determining current vehicle The current weight corresponding to multinomial information of vehicles in current vehicle list per trolley;
Weighted calculation module based on the current weight, calculates the weighted sum per trolley;
List determination sub-module is in the vehicle in the preference section of the user according to the weighted sum of acquisition, determines the vehicle List,
Wherein, the preference section is that basis is obtained by the multinomial information of vehicles and the user preference weights of the current vehicle What the preference value obtained determined, the range in the preference section reduces with the increase of the preference value.
10. device according to claim 7, which is characterized in that the preference information determining module, including:
Time determination sub-module obtains the displaying time of the information of vehicles of the current vehicle;
First determination sub-module, in the case where the displaying time is greater than or equal to time threshold, by corresponding current vehicle Information of vehicles be determined as the preference information.
11. device according to claim 7, which is characterized in that the preference information determining module, including:
Second determination sub-module, will in the case where detecting the user to the operation of the information of vehicles of the current vehicle The information of vehicles of corresponding current vehicle is determined as the preference information,
Wherein, during the operation includes the information inspection for the current vehicle, collects, shares, preengage and check and knock down-price It is at least one.
12. device according to claim 7 or 8, which is characterized in that the weights determining module, including:
Modified weight submodule according to the historical behavior of the user, is modified the user preference weights.
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