CN108230094B - Vehicle recommendation method and device - Google Patents
Vehicle recommendation method and device Download PDFInfo
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- CN108230094B CN108230094B CN201711404048.9A CN201711404048A CN108230094B CN 108230094 B CN108230094 B CN 108230094B CN 201711404048 A CN201711404048 A CN 201711404048A CN 108230094 B CN108230094 B CN 108230094B
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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]
- G06Q30/0631—Item recommendations
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The disclosure relates to a vehicle recommendation method and device. The method comprises the following steps: in the process of displaying the information display page of the current vehicle, determining preference information of a user from a plurality of items of vehicle information of the current vehicle contained in the information display page; determining a user preference weight corresponding to the preference information; determining a vehicle list matched with the user preference according to the preference information and the user preference weight; and when the vehicle list display interface is returned, displaying the vehicle list in the vehicle list display interface. The vehicle recommendation method and device provided by the embodiment of the disclosure can accurately recommend the vehicle to the user in real time, simplify the operation of the user, and save the search time of the user.
Description
Technical Field
The disclosure relates to the technical field of computers, in particular to a vehicle recommendation method and device.
Background
With the continuous development of science and technology, users can screen, check and purchase vehicles on line through various websites. However, in the related art, the website cannot accurately recommend vehicles to the user according to the requirements of the user, and the real-time performance of the recommended vehicles is poor, so that the user needs to spend a long time to screen out the vehicles meeting the requirements.
Disclosure of Invention
In view of this, the present disclosure provides a vehicle recommendation method and apparatus.
According to a first aspect of the present disclosure, there is provided a vehicle recommendation method including:
in the process of displaying an information display page of a current vehicle, determining preference information of a user from a plurality of items of vehicle information of the current vehicle contained in the information display page;
determining a user preference weight corresponding to the preference information;
determining a vehicle list matched with the user preference according to the preference information and the user preference weight;
upon returning to a vehicle list presentation interface, presenting the vehicle list in the vehicle list presentation interface,
wherein the vehicle information includes at least one of: the vehicle detection information, the parameter information, the insurance information, the vehicle picture and the use information.
For the above method, in a possible implementation manner, determining the user preference weight corresponding to the preference information includes:
and determining a user preference weight corresponding to the preference information according to the display time corresponding to the preference information and/or the importance of the operation aiming at the preference information.
For the above method, in a possible implementation manner, determining a vehicle list matching with the user preference according to the preference information and the user preference weight includes:
determining a current weight corresponding to a plurality of items of vehicle information of each vehicle in a current vehicle list where the current vehicle is located based on the preference information and the user preference weight;
calculating a weighted sum of each vehicle based on the current weight;
determining the vehicle list according to the obtained weighted sum and the vehicle in the preference interval of the user,
wherein the preference interval is determined according to preference values obtained by the plurality of items of vehicle information of the current vehicle and the user preference weight, and the range of the preference interval decreases as the preference values increase.
For the above method, in a possible implementation manner, determining the preference information of the user from a plurality of items of vehicle information of the current vehicle included in the information presentation page includes:
acquiring the display time of the vehicle information of the current vehicle;
and determining the vehicle information of the corresponding current vehicle as the preference information under the condition that the showing time is greater than or equal to a time threshold.
For the above method, in a possible implementation manner, determining the preference information of the user from a plurality of items of vehicle information of the current vehicle included in the information presentation page includes:
determining vehicle information of a corresponding current vehicle as the preference information in a case where an operation of the vehicle information of the current vehicle by the user is detected,
wherein the operation includes at least one of information viewing, collection, sharing, reservation viewing, and price cutting for the current vehicle.
For the above method, in a possible implementation manner, determining the user preference weight corresponding to the preference information includes:
and correcting the user preference weight according to the historical behavior of the user.
According to a second aspect of the present disclosure, there is provided a vehicle recommendation apparatus including:
the preference information determining module is used for determining preference information of a user from a plurality of items of vehicle information of the current vehicle contained in the information display page in the process of displaying the information display page of the current vehicle;
the weight value determining module is used for determining a user preference weight value corresponding to the preference information;
the list determining module is used for determining a vehicle list matched with the preference of the user according to the preference information and the preference weight of the user;
a list presentation module that presents the vehicle list in a vehicle list presentation interface upon returning to the vehicle list presentation interface,
wherein the vehicle information includes at least one of: the vehicle detection information, the parameter information, the insurance information, the vehicle picture and the use information.
For the above apparatus, in a possible implementation manner, the weight determining module includes:
and the weight value determining submodule determines the user preference weight value corresponding to the preference information according to the display time corresponding to the preference information and/or the importance of the operation aiming at the preference information.
For the apparatus, in a possible implementation manner, the list determining module includes:
the current weight value determining submodule determines a current weight value corresponding to a plurality of items of vehicle information of each vehicle in a current vehicle list where the current vehicle is located based on the preference information and the user preference weight value;
the weighted calculation module calculates the weighted sum of each vehicle based on the current weight;
a list determination sub-module that determines the vehicle list according to the obtained weighted sum and the vehicle that is in the preference section of the user,
wherein the preference interval is determined according to preference values obtained by the plurality of items of vehicle information of the current vehicle and the user preference weight, and the range of the preference interval decreases as the preference values increase.
For the apparatus, in a possible implementation manner, the preference information determining module includes:
the time determination submodule is used for acquiring the display time of the vehicle information of the current vehicle;
and the first determining sub-module is used for determining the corresponding vehicle information of the current vehicle as the preference information under the condition that the display time is greater than or equal to a time threshold.
For the apparatus, in a possible implementation manner, the preference information determining module includes:
a second determination sub-module that determines vehicle information of the corresponding current vehicle as the preference information in a case where an operation of the vehicle information of the current vehicle by the user is detected,
wherein the operation includes at least one of information viewing, collection, sharing, reservation viewing, and price cutting for the current vehicle.
For the above apparatus, in a possible implementation manner, the weight determining module includes:
and the weight correction submodule corrects the user preference weight according to the historical behavior of the user.
According to a third aspect of the present disclosure, there is provided a vehicle recommendation apparatus including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the vehicle recommendation method described above.
According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, implement the vehicle recommendation method described above.
According to the vehicle recommendation method and device provided by the embodiment of the disclosure, in the process of displaying the information display page of the current vehicle, preference information of a user is determined from a plurality of items of vehicle information of the current vehicle contained in the information display page; determining a vehicle list matched with the user preference according to the determined preference information and the user preference weight; and when the vehicle list display interface is returned, displaying the vehicle list in the vehicle list display interface. The vehicle recommendation method and the vehicle recommendation device can accurately recommend vehicles to the user in real time, simplify the operation of the user and save the search time of the user.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
FIG. 1 shows a flow diagram of a vehicle recommendation method according to an embodiment of the present disclosure;
fig. 2 shows a flowchart of step S11 in the vehicle recommendation method according to an embodiment of the present disclosure;
fig. 3 shows a flowchart of step S13 in the vehicle recommendation method according to an embodiment of the present disclosure;
FIG. 4a is a schematic diagram illustrating an application scenario of a vehicle recommendation method according to an embodiment of the present disclosure;
FIG. 4b is a schematic diagram illustrating an application scenario of a vehicle recommendation method according to an embodiment of the present disclosure;
FIG. 4c is a schematic diagram illustrating an application scenario of a vehicle recommendation method according to an embodiment of the present disclosure;
FIG. 5 shows a block diagram of a vehicle recommendation device according to an embodiment of the present disclosure;
FIG. 6 shows a block diagram of a vehicle recommendation device according to an embodiment of the present disclosure;
fig. 7 shows a block diagram of an apparatus 800 for vehicle recommendation, according to an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
FIG. 1 shows a flow diagram of a vehicle recommendation method according to an embodiment of the present disclosure. As shown in fig. 1, the method can be applied to recommendation of vehicles such as new vehicles, used vehicles and the like. The method can be applied to terminal equipment such as mobile phones and tablets or servers. The method may include steps S11 through S14.
In step S11, in presenting the information presentation page of the current vehicle, preference information of the user is determined from a plurality of items of vehicle information of the current vehicle contained in the information presentation page.
Wherein the vehicle information may include at least one of: the vehicle detection information, the parameter information, the insurance information, the vehicle picture and the use information.
In this embodiment, the vehicle displayed for the user may be a used vehicle or a new vehicle, and the specific content included in the vehicle information and the specific content included in each type of information may be set according to the type of the displayed vehicle. For example, in the case where the vehicle presented to the user is a used vehicle, the vehicle information may include detection information, parameter information, insurance information, a vehicle picture, and usage information of the vehicle. The detection information of the vehicle may include various types of detection performed on the second-hand vehicle and a detection result thereof. For example, various items related to the performance of the second-hand vehicle, such as accident troubleshooting detection, core component detection, common function detection, starting driving detection, and appearance interior detection, are detected. The insurance sales information of the vehicle can comprise the information of the condition of the second-hand vehicle, whether the price is reasonable, whether the vehicle can be taken up on the same day and the like, and the user can know the buying and selling form of the vehicle based on the insurance sales information. The vehicle picture of the vehicle is a picture related to the current appearance, the interior trim and the like of the used vehicle. The user can conveniently know the general view of the vehicle based on the vehicle picture. The parameter information of the vehicle may include basic information such as a manufacturer of the second-hand vehicle, a body structure, etc., information such as a displacement volume and an intake form of the engine, chassis and brake information, safety configuration information, external configuration information, internal configuration information, etc. The usage information of the vehicle may include the time of the second hand vehicle being used, the place of the second hand vehicle being used, the mileage being displayed, the age, and other information related to the usage of the second hand vehicle.
In this embodiment, the preference information of the user may be determined according to the time of each item of vehicle information of the current vehicle shown to the user, and the operation of the user on each item of vehicle information of the current vehicle.
In step S12, a user preference weight corresponding to the preference information is determined.
In one possible implementation, step S12 may include: and determining the user preference weight corresponding to the preference information according to the display time corresponding to the preference information and/or the importance of the operation aiming at the preference information.
In this embodiment, the user preference weight corresponding to the preference information may be determined according to the presentation time corresponding to the preference information, the detected importance of the user to the operation performed by the preference information, and the like. First, the user preference weight of the preference information may be determined only according to the presentation time, and the longer the presentation time of the preference information is, the larger the user preference weight corresponding thereto is. Secondly, the user preference weight of the preference information can be determined according to the display time corresponding to the preference information and the detected importance of the user for the operation of the preference information. The longer the presentation time of the preference information is, and the more important the detected user's operation on the preference information is, the larger the user preference weight corresponding thereto is. The detected operation aiming at the preference information can comprise operations such as information viewing, collection, sharing, reservation viewing and price cutting aiming at the current vehicle, and the importance of the operation can be determined according to the degree of possible interest of the user on the current vehicle or the displayed vehicle information of the current vehicle represented by different operations. For example, the importance of cutting price, reservation viewing, collection, sharing and information viewing can be set to be reduced in sequence. The determination method of the user preference weight can be set by those skilled in the art according to actual needs, and the disclosure does not limit this.
In one possible implementation, step S12 may include: and correcting the user preference weight according to the historical behavior of the user.
In this implementation, after the preference weight of the user is determined, the historical behavior of the user may be determined according to the browsing history of the user, and the like, so as to determine the previous attention of the user to the preference information according to the historical behavior of the user. The higher the attention of the user to the preference information is, the larger the modified user preference weight corresponding to the preference information is. Therefore, the user preference weight can be corrected by combining the historical behaviors of the user, and the user preference weight can be ensured to more accurately represent the preference of the user.
In this implementation, after the user preference weight is determined, historical behaviors of a plurality of users may be determined according to browsing histories of the users who have viewed the current vehicle, and the like, and then the attention of the plurality of users to the preference information may be determined according to the historical behaviors of the plurality of users. The higher the attention degree of the user preference information is, the larger the modified user preference weight corresponding to the preference information is. Therefore, the user preference weight can be corrected by combining the historical behaviors of a plurality of users, and the user preference weight can be ensured to express the preference of the user more accurately.
In step S13, a list of vehicles matching the user preference is determined according to the preference information and the user preference weight.
In the embodiment, a plurality of vehicles which are matched with the preference of the user are screened from the vehicle source library according to the preference information and the preference weight of the user. The greater the degree to which its vehicle matches the user's preferences, the further forward the vehicle is in the list of vehicles, and the earlier the user can view the vehicle.
In this embodiment, the terminal device may upload the preference information and the user preference weight to a corresponding server, and the server determines a vehicle list matching with the user preference according to the preference information and the user preference weight, and sends the vehicle list to the terminal device. It should be understood that the specific process of step S13 can be implemented in a manner known in the art, and the present disclosure is not limited thereto.
In step S14, upon returning to the vehicle list presentation interface, the vehicle list is presented in the vehicle list presentation interface.
In the present embodiment, the vehicle list obtained in step S13 may be displayed in the vehicle list presentation interface in place of the previously displayed vehicle list when the user exits the information presentation page and returns to the vehicle list presentation interface. Therefore, the vehicle list can be updated in real time according to the current operation of the user, the vehicles recommended for the user are more accurate, the operation of the user is simplified, and the viewing time of the user is saved. And when the display of the information display page is finished, the vehicle list can be continuously displayed for the user. For example, the user has been shown to the bottom of the information presentation interface, and immediately after the information presentation interface, the list of vehicles continues to be shown to the user. The present disclosure is not so limited.
Fig. 2 shows a flowchart of step S11 in the vehicle recommendation method according to an embodiment of the present disclosure.
In one possible implementation, as shown in fig. 2, the step S11 of determining the preference information of the user from the plurality of items of vehicle information of the current vehicle contained in the information presentation page may include the steps S111 and S112.
In step S111, the presentation time of the vehicle information of the current vehicle is acquired.
In this implementation, the time at which the vehicle information appears in the user-visible interface in the information presentation interface may be determined as the presentation time of the vehicle information.
In step S112, in the case where the presentation time is greater than or equal to the time threshold, the vehicle information of the corresponding current vehicle is determined as the preference information.
In this implementation, the time thresholds corresponding to different pieces of vehicle information may be the same or different. The plurality of pieces of vehicle information may correspond to one time threshold, and each piece of vehicle information may also correspond to one time threshold. The time threshold may be determined based on the time required for the user to be able to clearly view the determined vehicle information. For example, when the parameter information of the vehicle is displayed for the user, at least 1 minute needs to be displayed for the user to ensure that the user can view and know the specific content of the parameter information, the time threshold corresponding to the parameter information may be set to 1 minute, and when it is determined that the display time for displaying the parameter information for the user is greater than or equal to 1 minute, it is determined that the user is interested in the parameter information, and it is determined as the preference information.
In one possible implementation, step S11 may further include: in a case where an operation of the vehicle information of the current vehicle by the user is detected, the vehicle information of the corresponding current vehicle is determined as the preference information. Wherein the operation may include at least one of information viewing, collection, sharing, reservation viewing, and price cutting for the current vehicle. In this way, as for the vehicle information that the user can operate, it can be determined as the preference information when the user operation is detected.
Fig. 3 shows a flowchart of step S13 in the vehicle recommendation method according to an embodiment of the present disclosure.
In one possible implementation, as shown in fig. 3, step S13 may include steps S131 to S133.
In step S131, based on the preference information and the user preference weight, a current weight corresponding to a plurality of items of vehicle information of each vehicle in a current vehicle list where the current vehicle is located is determined.
In this implementation manner, according to the difference of the user importance degree, an initial weight value may be set for each item of vehicle information of the vehicle. The plurality of items of vehicle information of the vehicles in the current vehicle list can be compared with the preference information, and when the vehicle information of the vehicles in the current vehicle list is the same as the preference information, the current weight of the vehicle information of the vehicles in the current vehicle list can be determined as the user preference weight corresponding to the preference information. When the vehicle information of the vehicle in the current vehicle list is not identical to the preference information, the current weight value of the vehicle information of the vehicle in the current vehicle list may be determined as the initial weight value. In this way, the vehicle is recommended for the user on the basis of the current vehicle list obtained by the user retrieval, and the recommended vehicle is more accurate.
In this implementation, vehicles that meet the user preferences may also be obtained directly from a vehicle source library that includes all vehicles. In this way, a larger number of vehicles are obtained and the range involved is wider.
In step S132, a weighted sum of each vehicle is calculated based on the current weight value.
In this implementation, the weighted sum of each vehicle is calculated based on the plurality of items of vehicle information of the vehicles in the current vehicle list and the weight values corresponding to the items of vehicle information.
In step S133, a vehicle list is determined from the vehicles in the preference value section of the acquired weighted sum. Wherein the preference interval is determined according to preference values obtained by the plurality of items of vehicle information of the current vehicle and the user preference weight, and the range of the preference interval is reduced as the preference values are increased.
In this implementation, the vehicle in the weighted sum in the preference value section in the current vehicle list is determined as the vehicle matching the preference of the user. And according to the size of the weighted sum of the vehicles matched with the preference value of the user, sequentially displaying the vehicles in the vehicle list according to the sequence from the large weighted sum to the small weighted sum so as to ensure that the vehicles which have the large weighted sum and meet the requirements of the user are preferentially displayed for the user.
In this implementation, the preference degree of the user for the current vehicle may be determined according to the magnitude of the preference value, and the more the user likes the current vehicle, the higher the degree that the vehicles in the vehicle list recommended for the user are matched with the current vehicle. That is, when the determined preference value of the user is large, it is indicated that the user likes the current vehicle very much, and a preference interval with a small range is set to recommend the vehicle with a small deviation from the current vehicle for the user; when the determined preference value of the user is smaller, the preference value interval with a larger range is set to recommend the vehicle having a certain deviation with the current vehicle to the user, so that the user can view the vehicle more widely. The corresponding preference interval range can be set according to the preference value and different preference values. Therefore, recommendation of different scales is carried out on the user according to different preference degrees of the user on the current vehicle, and the use requirement of the user can be better met.
It should be noted that, although the vehicle recommendation method is described above by taking the above-described embodiment as an example, those skilled in the art will understand that the disclosure should not be limited thereto. In fact, the user can flexibly set each step according to personal preference and/or actual application scene, as long as the technical scheme of the disclosure is met.
In the vehicle recommendation method provided by the embodiment of the disclosure, in the process of displaying the information display page of the current vehicle, preference information of a user is determined from a plurality of items of vehicle information of the current vehicle contained in the information display page; determining a vehicle list matched with the user preference according to the determined preference information and the user preference weight; and when the vehicle list display interface is returned, displaying the vehicle list in the vehicle list display interface. The vehicle recommendation method and the vehicle recommendation device can recommend vehicles for users in real time, the accuracy of the vehicles recommended for the users is high, the operation of the users is simplified, and the search time of the users is saved.
Application example
An application example according to the embodiment of the disclosure is given below in combination with "user finds used cars" as an exemplary application scenario to facilitate understanding of the flow of the vehicle recommendation method. It is to be understood by those skilled in the art that the following application examples are for the purpose of facilitating understanding of the embodiments of the present disclosure only and are not to be construed as limiting the embodiments of the present disclosure.
Fig. 4a, 4b and 4c are schematic diagrams illustrating application scenarios of a vehicle recommendation method according to an embodiment of the present disclosure. As shown in fig. 4a, a vehicle list 1, which is determined according to a search condition, is displayed in a vehicle list display interface according to the search condition input by a user, and includes: the current interface shown in fig. 4a may show a partially used vehicle: vehicle Q, vehicle W, vehicle E, vehicle R, vehicle T, and vehicle Y; and a second-hand vehicle not displayed in the current interface: vehicle a, vehicle D, vehicle F, and vehicle J. In the case where the user clicks the second-hand vehicle Q in the vehicle list 1, as shown in fig. 4b, the information presentation page Q-1 of the second-hand vehicle Q is presented to the user.
And detecting and acquiring display time corresponding to the detection information, the parameter information, the insurance information, the vehicle picture and the use information of the second-hand vehicle Q, and determining the vehicle information corresponding to the display time as preference information under the condition that the display time is greater than or equal to a time threshold. And further determining a user preference weight corresponding to the preference information according to the display time of the preference information.
And determining the current weight corresponding to the plurality of items of vehicle information of each second-hand vehicle in the vehicle list 1 according to the preference information and the user preference weight. Based on the current weight, a weighted sum of each second-hand vehicle is calculated. For example, the weighted sum of vehicle W is 40, 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. The vehicle list 2 is determined based on the vehicle whose obtained weighted sum matches the preference value 82 of the user. If the section length set by the user is 8, the preference value section is [74, 82], and the vehicle a, the vehicle E, the vehicle D, the vehicle F, and the vehicle J are matching vehicles. The list of vehicles 2 as shown in fig. 4c is obtained in order of the weighted sum from large to small.
As shown in fig. 4c, upon returning to the vehicle list presentation interface, the vehicle list 2 is presented in the vehicle list presentation interface.
Therefore, the vehicle can be accurately recommended to the user in real time according to the current behavior of the user, the operation of the user is simplified, and the search time of the user is saved.
FIG. 5 shows a block diagram of a vehicle recommendation device according to an embodiment of the present disclosure. As shown in fig. 5, the apparatus may include a preference information determining module 501, a weight determining module 502, a list determining module 503, and a list presentation module 504.
The preference information determining module 501 is configured to determine the preference information of the user from a plurality of items of vehicle information of the current vehicle included in the information presentation page in the process of presenting the information presentation page of the current vehicle. The weight determination module 502 is configured to determine a user preference weight corresponding to the preference information. The list determination module 503 is configured to determine a list of vehicles matching the user preferences according to the preference information and the user preference weights. The list presentation module 504 is configured to present a list of vehicles in a vehicle list presentation interface upon returning to the vehicle list presentation interface. Wherein the vehicle information may include at least one of: the vehicle detection information, the parameter information, the insurance information, the vehicle picture and the use information.
FIG. 6 shows a block diagram of a vehicle recommendation device according to an embodiment of the present disclosure.
In one possible implementation, as shown in fig. 6, the weight determination module 502 may include a weight determination submodule 5021. The weight determination sub-module 5021 is configured to determine a user preference weight corresponding to the preference information according to the display time corresponding to the preference information and/or the importance of the operation on the preference information.
In one possible implementation, as shown in fig. 6, the list determining module 503 may include a current weight determining sub-module 5031, a weighting calculating module 5032 and a list determining sub-module 5033. The current weight determination sub-module 5031 is configured to determine, based on the preference information and the user preference weight, a current weight corresponding to a plurality of items of vehicle information of each vehicle in a current vehicle list where the current vehicle is located. The weight calculation module 5032 is configured to calculate a weighted sum for each vehicle based on the current weight. The list determining sub-module 5033 is configured to determine the vehicle list according to the obtained weighted sum and the vehicle in the preference interval of the user. Wherein the preference interval is determined according to preference values obtained by a plurality of items of vehicle information of the current vehicle and the user preference weight, and the range of the preference interval is reduced as the preference values are increased.
In one possible implementation, as shown in fig. 6, the preference information determining module 501 may include a time determining submodule 5011 and a first determining submodule 5012. The time determination submodule 5011 is configured to acquire a presentation time of the vehicle information of the current vehicle. The first determining sub-module 5012 is configured to determine vehicle information of a corresponding current vehicle as the preference information in a case where the presentation time is greater than or equal to a time threshold.
In one possible implementation, as shown in fig. 6, the preference information determining module may include a second determining sub-module 5013. The second determination submodule 5013 is configured to, in a case where the operation of the vehicle information of the current vehicle by the user is detected, determine the vehicle information of the corresponding current vehicle as the preference information. Wherein the operation includes at least one of information viewing, collection, sharing, reservation viewing, and price cutting for the current vehicle.
In one possible implementation, as shown in fig. 6, the weight determination module 502 may include a weight modification sub-module 5022. The weight modification submodule 5022 is configured to modify the user preference weight according to the historical behavior of the user.
According to the vehicle recommendation device provided by the embodiment of the disclosure, in the process of displaying the information display page of the current vehicle, preference information of a user is determined from a plurality of items of vehicle information of the current vehicle contained in the information display page; determining a vehicle list matched with the user preference according to the determined preference information and the user preference weight; and when the vehicle list display interface is returned, displaying the vehicle list in the vehicle list display interface. The vehicle recommendation method and the vehicle recommendation device can accurately recommend vehicles to the user in real time, simplify the operation of the user and save the search time of the user.
Fig. 7 shows a block diagram of an apparatus 800 for vehicle recommendation, according to an embodiment of the present disclosure. For example, the apparatus 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 7, the apparatus 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.
The processing component 802 generally controls overall operation of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the apparatus 800. Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The multimedia component 808 includes a screen that provides an output interface between the device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 800 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the apparatus 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the device 800. For example, the sensor assembly 814 may detect the open/closed status of the device 800, the relative positioning of components, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in the position of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, the orientation or acceleration/deceleration of the device 800, and a change in the temperature of the device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communications between the apparatus 800 and other devices in a wired or wireless manner. The device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the device 800 to perform the above-described methods.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A vehicle recommendation method, comprising:
in the process of displaying an information display page of a current vehicle, determining preference information of a user from a plurality of items of vehicle information of the current vehicle contained in the information display page;
determining a user preference weight corresponding to the preference information;
determining a vehicle list matched with the user preference according to the preference information and the user preference weight;
upon returning to a vehicle list presentation interface, presenting the vehicle list in the vehicle list presentation interface,
wherein the vehicle information includes at least one of: the detection information, the parameter information, the insurance information, the vehicle picture and the use information of the vehicle;
wherein, the determining the vehicle list matched with the user preference according to the preference information and the user preference weight value comprises:
determining a current weight corresponding to a plurality of items of vehicle information of each vehicle in a current vehicle list where the current vehicle is located based on the preference information and the user preference weight;
calculating a weighted sum of each vehicle based on the current weight;
determining the vehicle list according to the obtained weighted sum and the vehicle in the preference interval of the user,
wherein the preference interval is determined according to preference values obtained by a plurality of items of vehicle information of the current vehicle and the user preference weight, and the range of the preference interval is reduced along with the increase of the preference values;
wherein the determining the user preference weight corresponding to the preference information includes:
and correcting the user preference weight according to the historical behavior of the user.
2. The method according to claim 1, wherein determining the user preference weight corresponding to the preference information comprises:
and determining a user preference weight corresponding to the preference information according to the display time corresponding to the preference information and/or the importance of the operation aiming at the preference information.
3. The method of claim 1, wherein determining the preference information of the user from a plurality of items of vehicle information of the current vehicle contained in the information presentation page comprises:
acquiring the display time of the vehicle information of the current vehicle;
and determining the vehicle information of the corresponding current vehicle as the preference information under the condition that the showing time is greater than or equal to a time threshold.
4. The method of claim 1, wherein determining the preference information of the user from a plurality of items of vehicle information of the current vehicle contained in the information presentation page comprises:
determining vehicle information of a corresponding current vehicle as the preference information in a case where an operation of the vehicle information of the current vehicle by the user is detected,
wherein the operation includes at least one of information viewing, collection, sharing, reservation viewing, and price cutting for the current vehicle.
5. A vehicle recommendation device, comprising:
the preference information determining module is used for determining preference information of a user from a plurality of items of vehicle information of the current vehicle contained in the information display page in the process of displaying the information display page of the current vehicle;
the weight value determining module is used for determining a user preference weight value corresponding to the preference information;
the list determining module is used for determining a vehicle list matched with the preference of the user according to the preference information and the preference weight of the user;
a list presentation module that presents the vehicle list in a vehicle list presentation interface upon returning to the vehicle list presentation interface,
wherein the vehicle information includes at least one of: the detection information, the parameter information, the insurance information, the vehicle picture and the use information of the vehicle;
wherein the list determining module comprises:
the current weight value determining submodule determines a current weight value corresponding to a plurality of items of vehicle information of each vehicle in a current vehicle list where the current vehicle is located based on the preference information and the user preference weight value;
the weighted calculation module calculates the weighted sum of each vehicle based on the current weight;
a list determination sub-module that determines the vehicle list according to the obtained weighted sum and the vehicle that is in the preference section of the user,
wherein the preference interval is determined according to preference values obtained by a plurality of items of vehicle information of the current vehicle and the user preference weight, and the range of the preference interval is reduced along with the increase of the preference values;
wherein, the weight determination module includes:
and the weight correction submodule corrects the user preference weight according to the historical behavior of the user.
6. The apparatus of claim 5, wherein the weight determination module comprises:
and the weight value determining submodule determines the user preference weight value corresponding to the preference information according to the display time corresponding to the preference information and/or the importance of the operation aiming at the preference information.
7. The apparatus of claim 5, wherein the preference information determining module comprises:
the time determination submodule is used for acquiring the display time of the vehicle information of the current vehicle;
and the first determining sub-module is used for determining the corresponding vehicle information of the current vehicle as the preference information under the condition that the display time is greater than or equal to a time threshold.
8. The apparatus of claim 5, wherein the preference information determining module comprises:
a second determination sub-module that determines vehicle information of the corresponding current vehicle as the preference information in a case where an operation of the vehicle information of the current vehicle by the user is detected,
wherein the operation includes at least one of information viewing, collection, sharing, reservation viewing, and price cutting for the current vehicle.
9. A vehicle recommendation device comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method of any one of claims 1 to 4.
10. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 4.
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| CN111681081B (en) * | 2020-06-08 | 2023-08-01 | 上海汽车集团股份有限公司 | Interactive product configuration method and system, computer readable storage medium and terminal |
| CN112241495A (en) * | 2020-12-14 | 2021-01-19 | 浙江口碑网络技术有限公司 | Page updating method |
| CN113268510A (en) * | 2021-04-14 | 2021-08-17 | 中寰卫星导航通信有限公司 | Commercial vehicle selection method, system, platform, medium and equipment |
| CN113807870A (en) * | 2021-09-27 | 2021-12-17 | 平安国际融资租赁有限公司 | Vehicle information authentication method and device, computer equipment and storage medium |
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