CN113792213A - Service recommendation method, device, equipment and storage medium - Google Patents
Service recommendation method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a service recommendation method, a service recommendation device, service recommendation equipment and a storage medium, and belongs to the technical field of automobiles. When a function updating instruction is received, extracting registered account information in the function updating instruction; the vehicle identification code associated with the registered account information can be obtained through the registered account information, the target vehicle can be determined according to the vehicle identification code and the registered account information, the user behavior characteristics corresponding to the target vehicle are obtained, the user behavior characteristics are analyzed to generate the user portrait, the service recommendation is carried out on the target vehicle and the Internet of vehicles application program according to the generated user portrait, and the intellectualization of vehicle service push is improved.
Description
Technical Field
The present invention relates to the field of automotive technologies, and in particular, to a service recommendation method, device, apparatus, and storage medium.
Background
With the rapid development of wireless communication technology, automobiles have become an important channel for people to acquire information, not only as a tool for riding instead of walk.
The existing automobile can actively provide the required service information for the user only according to passive receiving and displaying of the service information and cannot automatically sense the requirement of the user. With the development of mobile terminal technology and wireless communication technology, service information push becomes an important way of information distribution.
Most current service information push systems directly push various service information to users, so that the users can screen information according to self requirements, and the users can feel the repugnance and play opposite roles.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a service recommendation method, a service recommendation device, service recommendation equipment and a storage medium, and aims to solve the technical problem of improving service push intellectualization.
In order to achieve the above object, the present invention provides a service recommendation method, including the steps of:
when a function updating instruction is received, extracting the registered account information in the function updating instruction;
determining a related vehicle identification code according to the registered account information;
obtaining user behavior characteristics according to the vehicle identification code and the registered account information;
generating a user portrait according to the user behavior characteristics;
and recommending service for the target vehicle corresponding to the vehicle identification code and/or the Internet of vehicles application program corresponding to the registered account information based on the user image.
Optionally, when a function update instruction is received and before extracting the registered account information in the function update instruction, the method further includes:
when registration data are obtained, extracting a vehicle identification code, registration account information and a user identification number of a mobile terminal in the registration data;
and binding the vehicle identification code, the registration account information and the user identification number of the mobile terminal, and storing the binding in a preset area.
Optionally, the recommending a service to the target vehicle corresponding to the vehicle identification code and/or the car networking application program corresponding to the registered account information based on the user image includes:
classifying the user pictures to determine corresponding user types;
inquiring a mapping relation table according to the user type to obtain corresponding service recommendation data, wherein the mapping relation table contains the corresponding relation between the user type and the service recommendation data;
and sending the service recommendation data to a target vehicle corresponding to the vehicle identification code and/or a vehicle networking application program corresponding to the registered account information for service recommendation.
Optionally, the obtaining the user behavior characteristics according to the vehicle identification code and the registered account information includes:
determining a corresponding target vehicle according to the vehicle identification code;
acquiring vehicle operation information of the target vehicle and operation information of an Internet of vehicles application program corresponding to the registered account information;
and performing data desensitization on the vehicle operation information and the operation information of the Internet of vehicles application program to obtain user behavior characteristics.
Optionally, the obtaining the vehicle operation information of the target vehicle and the operation information of the internet-of-vehicles application program corresponding to the registered account information includes:
acquiring a vehicle networking application program corresponding to the registered account information and a buried point interface of the target vehicle;
and acquiring the vehicle operation information of the target vehicle and the operation information of the Internet of vehicles application program corresponding to the registered account information according to the embedded point interface.
Optionally, the generating a user representation according to the user behavior feature includes:
extracting scene data and user behavior data in the user behavior characteristics;
and analyzing the scene data and the user behavior data through a preset behavior analysis algorithm to generate a user portrait.
Optionally, after the sending the service recommendation data to the target vehicle corresponding to the vehicle identification code and/or the internet of vehicles application program corresponding to the registered account information for service recommendation, the method further includes:
obtaining the use information of the target vehicle and/or the internet of vehicles application program on the service recommendation data;
updating the user representation based on the usage information.
In addition, to achieve the above object, the present invention further provides a service recommendation apparatus, including:
the extraction module is used for extracting the registered account information in the function updating instruction when the function updating instruction is received;
the determining module is used for determining the associated vehicle identification code according to the registered account information;
the acquisition module is used for acquiring user behavior characteristics according to the vehicle identification code and the registered account information;
the generating module is used for generating a user portrait according to the user behavior characteristics;
and the recommending module is used for recommending service to the target vehicle corresponding to the vehicle identification code and/or the Internet of vehicles application program corresponding to the registered account information based on the user image.
In addition, to achieve the above object, the present invention further provides a service recommendation apparatus, including: a memory, a processor and a service recommendation program stored on the memory and executable on the processor, the service recommendation program being configured to implement the steps of the service recommendation method as described above.
Furthermore, to achieve the above object, the present invention further provides a storage medium having a service recommendation program stored thereon, which when executed by a processor implements the steps of the service recommendation method as described above.
When a function updating instruction is received, extracting registered account information in the function updating instruction; determining a related vehicle identification code according to the registered account information; obtaining user behavior characteristics according to the vehicle identification code and the registered account information; generating a user portrait according to the user behavior characteristics; service recommendation is carried out on a target vehicle corresponding to the vehicle identification code and/or a vehicle networking application program corresponding to the registered account information based on the user image; the vehicle identification code associated with the registered account information can be obtained through the registered account information, the target vehicle can be determined according to the vehicle identification code and the registered account information, the user behavior characteristics corresponding to the target vehicle are obtained, the user behavior characteristics are analyzed to generate the user portrait, the service recommendation is carried out on the target vehicle and the Internet of vehicles application program according to the generated user portrait, and the intellectualization of vehicle service push is improved.
Drawings
Fig. 1 is a schematic structural diagram of a service recommendation device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a service recommendation method according to a first embodiment of the present invention;
FIG. 3 is a flowchart illustrating a service recommendation method according to a second embodiment of the present invention;
FIG. 4 is a schematic view of a user registration process according to a second embodiment of the vehicle upgrade method of the present invention;
FIG. 5 is a schematic diagram illustrating an identification code binding process of the vehicle upgrade method of the present invention;
FIG. 6 is a flowchart illustrating a service recommendation method according to a third embodiment of the present invention;
FIG. 7 is a diagram of a data embedding point and user analysis structure according to a third embodiment of the service recommendation method of the present invention;
FIG. 8 is a flow chart of data acquisition and data processing according to a third embodiment of the service recommendation method of the present invention;
FIG. 9 is a flowchart illustrating a fourth embodiment of a service recommendation method according to the present invention;
FIG. 10 is a flowchart illustrating a fifth embodiment of a service recommendation method according to the present invention;
FIG. 11 is a diagram illustrating a relationship between a user type and service recommendation data according to the service recommendation method of the present invention;
FIG. 12 is a flow chart of the active recommendation method based on user profile according to the present invention;
FIG. 13 is a schematic diagram illustrating an insurance service pushing process of the service recommendation method of the present invention;
fig. 14 is a schematic view illustrating a value-added service push flow of the service recommendation method of the present invention;
FIG. 15 is a flowchart illustrating a new functional inline service recommendation method according to the present invention;
FIG. 16 is a schematic diagram illustrating a process of a client customizing service recommendation method according to the present invention;
FIG. 17 is a schematic diagram of a new functional internal test flow of the service recommendation method of the present invention;
FIG. 18 is a schematic diagram illustrating an overall structure of service recommendation in the service recommendation method according to the present invention;
fig. 19 is a block diagram illustrating a first embodiment of a service recommendation apparatus according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a service recommendation device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the service recommendation apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of the service recommendation device and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a service recommendation program.
In the service recommendation apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the service recommendation device of the present invention may be disposed in the service recommendation device, and the service recommendation device calls the service recommendation program stored in the memory 1005 through the processor 1001 and executes the service recommendation method provided by the embodiment of the present invention.
An embodiment of the present invention provides a service recommendation method, and referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of a service recommendation method according to the present invention.
In this embodiment, the service recommendation method includes the following steps:
step S10: and when a function updating instruction is received, extracting the registered account information in the function updating instruction.
It should be noted that the execution subject in this embodiment may be a cloud server of a vehicle, or may be other devices capable of implementing service recommendation, which is not limited in this embodiment.
It should be understood that the function update command refers to a new service requirement provided by a user and/or a requirement actively identified by the vehicle-mounted system and required to be updated, and can be provided through the vehicle-mounted end or the mobile end and uploaded to the server. The registered account information refers to account information registered by the user through the vehicle APP.
In specific implementation, a user can log in an account through a vehicle end or a mobile end, and after logging in, a service requirement for function updating is provided and/or a function updating instruction generated when a vehicle machine system background detects that updating is required is detected, the cloud server receives the function updating instruction requirement of the user and/or the vehicle machine system, and extracts registered account information of the user from the function updating instruction requirement.
Step S20: and determining the associated vehicle identification code according to the registered account information.
It should be understood that the vehicle identification code refers to a unique identification number of the vehicle, and the corresponding unique vehicle can be determined by the vehicle identification code.
In specific implementation, when the user registers, the registered account information and the vehicle identification code are bound, so that the vehicle identification code associated with the registered account information can be determined according to the registered account information, and the corresponding target vehicle can be determined.
Step S30: and obtaining user behavior characteristics according to the vehicle identification code and the registered account information.
The user behavior characteristics refer to operation information of the vehicle system and/or the vehicle intelligent association APP performed by the user at the vehicle end and the mobile end.
In this embodiment, the information that the user operates the vehicle system at the vehicle terminal can be obtained through the vehicle identification code, the information that the user operates the vehicle intelligent-connection APP at the mobile terminal can be obtained through the registered account information, and the behavior characteristics of the user can be obtained according to the operation information of the vehicle system and the operation information of the vehicle intelligent-connection APP.
Step S40: and generating a user portrait according to the user behavior characteristics.
It should be understood that the user representation refers to a user information label analyzed according to the behavior characteristics of the user, and may include a user background, a preference, a consumption view, and the like, which is not limited in this embodiment.
Step S50: and recommending service for the target vehicle corresponding to the vehicle identification code and/or the Internet of vehicles application program corresponding to the registered account information based on the user image.
It should be noted that the car networking application refers to a car intelligent association APP.
In the specific implementation, due to the uniqueness of the vehicle identification code, the corresponding target vehicle can be determined according to the vehicle identification code, the corresponding mobile terminal can be determined according to the registered account information, and the type and the preference of the user can be known according to the user portrait. Service recommendation can be made to the target vehicle and the internet of vehicles application program in the mobile terminal according to the generated user image.
In the embodiment, when a function updating instruction is received, registered account information in the function updating instruction is extracted; determining a related vehicle identification code according to the registered account information; obtaining user behavior characteristics according to the vehicle identification code and the registered account information; generating a user portrait according to the user behavior characteristics; service recommendation is carried out on a target vehicle corresponding to the vehicle identification code and/or a vehicle networking application program corresponding to the registered account information based on the user image; the vehicle identification code associated with the registered account information can be obtained through the registered account information, the target vehicle can be determined according to the vehicle identification code and the registered account information, the user behavior characteristics corresponding to the target vehicle are obtained, the user behavior characteristics are analyzed to generate the user portrait, the service recommendation is carried out on the target vehicle and the Internet of vehicles application program according to the generated user portrait, and the intellectualization of vehicle service push is improved.
Referring to fig. 3, fig. 3 is a flowchart illustrating a service recommendation method according to a second embodiment of the present invention.
Based on the first embodiment, before the step S10, the service recommendation method in this embodiment further includes:
step S101: and when the registration data is acquired, extracting the vehicle identification code, the registration account information and the user identification number of the mobile terminal in the registration data.
It should be noted that the registration data refers to registration data input by the user during registration and data after successful registration, and includes mobile phone number information, vehicle identification code information, and registration account information after successful registration; the vehicle identification code refers to a unique identification number of the vehicle, and the corresponding unique vehicle can be determined through the vehicle identification code; as shown in fig. 4, after a user purchases a vehicle, the user initiates registration, checks by inputting a mobile phone number of the user and receiving a verification code, and after the check is completed, the user successfully registers to obtain information of a registered account, and can log in the mobile terminal according to the registered account; the vehicle identification code mainly comprises an entertainment information terminal identification code, a networking terminal identification code and a 18-bit code of the whole vehicle; the user identification number of the mobile terminal refers to a mobile phone number of the user, and may also include identification numbers in other forms, which is not limited in this embodiment.
In the specific implementation, the entertainment information terminal identification code is generated through a mobile phone interconnection intelligent system (DA) produced by a supplier during vehicle production. And stores the identification code. The networking terminal identification code is an identification code obtained after an information Control Unit (TCU) is produced and is stored.
It should be understood that the identifiers of the telematics terminals and the networked terminals after shipment cannot be modified manually, so that a vehicle has only one corresponding identifier of the telematics terminal and the networked terminal. As shown in fig. 5, when the entire vehicle is assembled on line, the components can be selected according to the unique code of the vehicle, and the configuration of the electric components can be performed according to the unique code of the vehicle; then the entertainment information terminal configuration is assembled, and finally the networking terminal configuration is assembled. The Vehicle Identification Number (VIN) code, the user Identification code of the mobile terminal, the entertainment information terminal, the Identification code and the networking terminal Identification code are bound, and the Vehicle can be identified through the VIN code.
Step S102: and binding the vehicle identification code, the registration account information and the user identification number of the mobile terminal, and storing the binding in a preset area.
It should be noted that the preset area refers to the identifier binding database. The identification code includes a vehicle identification code, registered account information, a user identification code of the mobile terminal, and identification codes in other forms.
In a specific implementation, as shown in fig. 5, after a user purchases a vehicle, the user inputs a mobile phone number of the user by operating the mobile terminal to register the vehicle, performs real-name authentication to obtain registered account information, and scans a vehicle identification code through the mobile terminal to bind the vehicle; when the mobile terminal scans the code to bind the vehicle, the vehicle machine requests the background to inquire the relevant binding data and feeds back the inquiry result. If the vehicle is inquired and displayed to be bound according to the mobile phone number of the user, secondary binding can not be carried out on the vehicle, the user can feed back abnormal information, and the background can remind the user of binding again after processing the abnormal information. If the inquiry result obtained by the user through code scanning of the mobile terminal is that the vehicle is not bound, the remote information control unit packs the vehicle identification code, the mobile terminal mobile phone number of the user and the data related to the registered account information and uploads the packed data to the identification code binding database. After the identification code of the vehicle, the mobile phone number of the user and the vehicle registration account information are bound successfully, normal login can be carried out in a personal center of a control system of the vehicle, and the vehicle machine can be controlled through the mobile terminal.
It should be understood that the bound vehicle identification code data, the registered account information and the user identification number are all stored in the identification code binding database, when the vehicle identification code is acquired, the identification code binding database can be queried according to the vehicle identification code to obtain the registered account information bound with the vehicle identification code and the user identification number of the mobile terminal, and similarly, the associated vehicle identification code and the registered account information can also be obtained according to the user identification number of the mobile terminal.
In the embodiment, when the registration data is acquired, the vehicle identification code, the registration account information and the user identification number of the mobile terminal in the registration data are extracted; and binding the vehicle identification code, the registration account information and the user identification number of the mobile terminal, and storing the binding in a preset area. The vehicle identification code, the vehicle registration account and the user identification number are bound and stored in a preset area. By binding and storing the vehicle identification code, the vehicle registration account information and the user identification number to a preset area, when the service updating requirements of a user through the registration account of the mobile terminal user identification number and a vehicle machine system of a vehicle end are received, the intelligent and comprehensive service push can be performed on the client by combining the account of the vehicle end and the vehicle networking application program of the mobile end.
Referring to fig. 6, fig. 6 is a flowchart illustrating a service recommendation method according to a third embodiment of the present invention.
Based on the first embodiment, step S30 of the service recommendation method in this embodiment specifically includes:
step S301: and determining a corresponding target vehicle according to the vehicle identification code.
The target vehicle refers to a unique vehicle determined from the vehicle identification code after the vehicle identification code is obtained from the update instruction.
Step S302: and acquiring the vehicle operation information of the target vehicle and the operation information of the Internet of vehicles application program corresponding to the registered account information.
In the specific implementation, data embedded point codes are implanted into a vehicle system and an Internet of vehicles application program in the development stage, so that functional information of the application program and the system operated by a user in a certain time period is acquired, and the behavior of the user is analyzed.
Further, acquiring the vehicle operation information of the target vehicle and the operation information of the internet-of-vehicles application program corresponding to the registered account information includes: acquiring a vehicle networking application program corresponding to the registered account information and a buried point interface of the target vehicle; and acquiring the vehicle operation information of the target vehicle and the operation information of the Internet of vehicles application program corresponding to the registered account information according to the embedded point interface.
It should be understood that the buried point interface refers to an interface of data buried point codes embedded in an application program and a vehicle system, and data of the buried point can be acquired through the buried point interface. As shown in fig. 7, when the user operates the entertainment information terminal system function at the vehicle end and the intelligent car networking application at the mobile end, the operation information of the vehicle and the operation information of the car networking application at the mobile end can be acquired through the embedded interface by acquiring the data embedded interfaces of the target vehicle and the car networking application.
In specific implementation, the preset data embedded point interfaces at the vehicle end and the mobile end are different, and the acquired data are different. Aiming at a vehicle end, a data buried point mainly acquires scene distribution of a vehicle system used by a user. For example, whether the trip depends on car navigation, average trip distance, average duration of use of the video entertainment system, and the like. And aiming at the mobile phone end, the data embedded point mainly acquires the scene distribution of the user using the Internet of things App. For example, the frequency of controlling the car by using a mobile phone, the consumption in the App city of the car union, the processing mode of daily pushing and the like.
Step S303: and performing data desensitization on the vehicle operation information and the operation information of the Internet of vehicles application program to obtain user behavior characteristics.
It should be noted that data desensitization refers to performing data deformation on some sensitive information through a desensitization rule. In specific implementation, the operation information obtained by the data embedding method is all operation information of the user and may include important privacy such as an identity card number and a name of the user, so that desensitization is required to be performed on the obtained information to obtain user behavior characteristics, and the user behavior characteristics are uploaded to the cloud, so that the cloud server and/or the background can analyze the behavior of the user at the vehicle end and the behavior of the mobile-end application program according to the user behavior characteristics. As shown in fig. 7, the development side acquires the operation information of the user side through the data embedding point, and obtains the user behavior characteristics through data desensitization, and transmits the user behavior characteristics to the cloud, so that the behavior of the vehicle end of the cloud server and the behavior of the application program of the mobile end are analyzed.
In this embodiment, the user characteristics of a single end are obtained and analyzed, and the obtained user profile has a certain deviation. For example, the user's travel is highly dependent on car navigation and the average distance of travel is long, such as the target customer of insurance/accommodation push, but the user's consumption view is negative and extremely negative to the advertising service. It is not preferable to push a portrait drawn only with reference to the in-vehicle data. Through the binding of the vehicle end and the mobile end, on one hand, the main scene of the vehicle system used by the user can be obtained, and on the other hand, the acceptance degree, consumption concept and the like of the user on fresh things can also be obtained. The data of the two are combined, so that the user portrait can be more comprehensively depicted. In addition, the use of the vehicle only occupies the travel time of the user, and data after traveling cannot be obtained. For example, when the vehicle is turned off, the mobile terminal data with the binding relationship can fill the gaps, and continuous optimization of the user portrait can be realized.
As shown in fig. 8, the data collected by the data collection module is acquired through the buried point interface. The data acquisition module can include navigation module, music module, system module among the car machine system, feedback module and the information module in removing end application APP, the train connection module and other modules etc. gather user's operation information data and carry out desensitization and obtain user's action characteristic and upload to the server side through above-mentioned module.
According to the method and the device, the target vehicle is determined according to the vehicle identification code, the operation information of the target vehicle is acquired, the operation information of the Internet of vehicles application program is acquired according to the registered account information, data desensitization is carried out on the operation information by combining the vehicle operation information and the operation information of the Internet of vehicles application program to obtain the user behavior characteristics, desensitization is carried out on the user information, and the user privacy is protected. And the operation information of the vehicle end and the mobile end is combined to obtain comprehensive user behavior characteristics.
Referring to fig. 9, fig. 9 is a flowchart illustrating a service recommendation method according to a fourth embodiment of the present invention.
Based on the first and third embodiments, the step S40 of the service recommendation method in this embodiment specifically includes:
step S401: and extracting scene data and user behavior data in the user behavior characteristics.
The scene data refers to a scene of the user going out, and the user behavior data refers to an operation behavior of the user in the application programs of the vehicle end and the mobile end.
In specific implementation, a scene of user travel can be identified through a destination navigated by the user, the scene identification can include short-distance travel, long-distance travel, travel and the like, dining scenes, lodging scenes, entertainment scenes and the like can also be identified according to operation behaviors of the user, and corresponding user portraits are generated by extracting scene data and user behavior data.
Step S402: and analyzing the scene data and the user behavior data through a preset behavior analysis algorithm to generate a user portrait.
It should be understood that the preset behavior analysis algorithm refers to a neural network algorithm, and the obtained travel scene, dining scene, lodging scene, entertainment scene and the like are analyzed through a neural network algorithm training model to generate a user portrait, wherein the generated user portrait may include a background of the user, a preference of the user, a consumption view of the user and the like.
As shown in fig. 8, the data processing module in the vehicle-mounted device system analyzes the user behavior characteristics uploaded to the server, for example, the average distance of travel and the average time of vehicle use according to the travel characteristic data. Analyzing the audio-video entertainment duration according to the operation information of the vehicle, feeding back the bug frequency, and updating the system frequency; and generating different user figures according to information such as information reading time, internet of vehicles use time, flow recharging frequency, activity participation frequency and the like of the user in the mobile terminal application program.
In the embodiment, different user figures are generated by extracting the scene data and the user behavior data in the user behavior characteristics and analyzing the scene data and the user behavior data through a preset behavior analysis algorithm, so that the user behavior characteristics are comprehensively analyzed.
Referring to fig. 10, fig. 10 is a flowchart illustrating a service recommendation method according to a fifth embodiment of the present invention
Based on the first embodiment, the step S50 of the service recommendation method in this embodiment specifically includes:
step S501: and classifying the user images and determining the corresponding user types.
It should be noted that the user type refers to classification of users according to user images, as shown in fig. 11, for example, for a high dependence of travel on a vehicle-mounted entertainment terminal, in view of vehicle-mounted experience, a user who often feeds back a subject or is willing to recharge to use more vehicle-mounted functions may be classified as a premium passenger type; users who are willing to recharge and use part of the car machine functions can be classified as positive in terms of high dependence on the car machine in a certain aspect, such as navigation, music or car networking; users who do not rely on the car machine at all or do not want to recharge can be classified as passive.
Step S502: and inquiring a mapping relation table according to the user type to obtain corresponding service recommendation data, wherein the mapping relation table contains the corresponding relation between the user type and the service recommendation data.
It should be understood that the mapping table refers to a table containing the correspondence between the user types and the service recommendation data, and the mapping table may be set by a developer in advance and stored in the cloud server, so as to generate different service recommendation data according to different user portraits.
In specific implementation, as shown in fig. 11, for the tenant-type user, the service recommendation data obtained by querying the mapping relationship table is the recommended new system internal test, the new function advanced experience, the value-added service internal test, and the like, and the service recommendation data can be added according to specific situations. For the active user, value-added service can be pushed according to the portrait, insurance service can be pushed, etc. For a passive user, it is conceivable not to perform activity recommendation or appropriate activity recommendation.
As shown in fig. 12, user scene data is acquired through a buried point, a user portrait is generated according to different scene data, the user portrait is classified to obtain different service recommendation data, and a host recommendation module performs corresponding service push on a user. Such as a very large type of user, may recommend insurance services, membership services, value-added services, and the like.
Step S503: and sending the service recommendation data to a target vehicle corresponding to the vehicle identification code and/or a vehicle networking application program corresponding to the registered account information for service recommendation.
In a specific implementation, as shown in fig. 13 and 14, fig. 13 is an insurance pushing flowchart, which generates a user representation by recognizing scene data of a trip, and pops up an insurance popup window in a car terminal or a mobile terminal application program, so as to recommend insurance service data to a user. Fig. 14 is a flow chart of value-added service push, which identifies a dining scene, a lodging scene, and an entertainment scene by the scene data and the user behavior data to generate a corresponding user portrait, and recommends the value-added service for the generated user portrait.
It should be noted that, after querying corresponding service recommendation data according to a user profile, the service recommendation data may be synchronously sent to a target vehicle corresponding to a vehicle identification code and a mobile-end internet application program corresponding to user registration account information, as shown in fig. 15, fig. 15 is a new function internal measurement flow chart, after issuing new function service data, the generated user profile may be recommended through a host recommendation module, for an extremist user, the service recommendation data may be sent to both ends and sent to a vehicle machine and a mobile-end application program, for an extremist user, a double-end push may also be performed, for an extremist user, a non-push may be selected and an online survey may be performed on an extremist user, a reason why the user is unwilling to use a new function may be analyzed, and user requirements may be improved.
As shown in fig. 16, when a function update demand instruction provided by a user is acquired, a customer demand is analyzed, a user portrait is generated according to the analysis and pushed to car unions APP of a car end and a mobile end, and the user is reminded of service recommendation according to a vehicle identification code and a user mobile phone number, so as to prompt the customer to install a recommended service function. As shown in fig. 17, fig. 17 is a process of testing and issuing a new function of a vehicle, where the new function is solicited and issued through a vehicle end and a mobile end, service data is pushed to a client according to a response of the client, and a notification message is sent to a corresponding vehicle end and a corresponding mobile end application program, and after the client is installed, the client is declared exempted from responsibility, and is prompted to update or quit updating according to a selection of the user.
In the specific implementation, after service recommendation is carried out on the user, the use information of the user using the application program of the target vehicle and the mobile terminal on the recommended service data can be obtained, and the user portrait can be updated according to the use information. As shown in fig. 18, for example, the type of the service recommendation message to be served by the user is obtained, and if the user does not read and delete the pushed service message, the recommendation can be reduced and the user profile can be optimized. If the user reads the recommended service information and gives positive feedback, the recommendation opportunity can be increased appropriately and the user portrait can be optimized, and if the user reads the recommended service information and gives negative feedback, the reason can be investigated or the service information can not be recommended according to the feedback and the user portrait can be optimized.
Continuing with FIG. 18, the user profile can be used to push service data to the vehicle end and the service end, which may include insurance services, new function testing services, and value-added services. After the corresponding service data is pushed according to the user type, the service recommendation is completed, the service pushing data is recorded and relevant data and user information are counted in the cloud server, and meanwhile, the use points of the application mall corresponding to the registered account information are increased according to the registered account information of the user.
In the embodiment, the corresponding user type is determined by classifying the user images; inquiring a mapping relation table according to the user type to obtain corresponding service recommendation data, wherein the mapping relation table contains the corresponding relation between the user type and the service recommendation data; sending the service recommendation data to a target vehicle corresponding to the vehicle identification code and/or a vehicle networking application program corresponding to the registered account information for service recommendation; through classifying the user portrait, appointing different service recommendation data and sending service recommendation data to vehicle and car networking application program synchronously to different user portraits, service data pushes away more accurately and comprehensively.
Referring to fig. 19, fig. 19 is a block diagram illustrating a first embodiment of a service recommendation device according to the present invention.
As shown in fig. 19, the service recommendation apparatus according to the embodiment of the present invention includes:
the extracting module 10 is configured to extract the registered account information in the function updating instruction when the function updating instruction is received.
And the determining module 20 is configured to determine the associated vehicle identification code according to the registered account information.
And the obtaining module 30 is configured to obtain the user behavior characteristics according to the vehicle identification code and the registered account information.
And the generating module 40 is used for generating the user portrait according to the user behavior characteristics.
And the recommending module 50 is configured to recommend a service to the target vehicle corresponding to the vehicle identification code and/or the internet-of-vehicles application corresponding to the registered account information based on the user image.
In this embodiment, when a function updating instruction is received, registered account information in the function updating instruction is extracted; determining a related vehicle identification code according to the registered account information; obtaining user behavior characteristics according to the vehicle identification code and the registered account information; generating a user portrait according to the user behavior characteristics; service recommendation is carried out on a target vehicle corresponding to the vehicle identification code and/or a vehicle networking application program corresponding to the registered account information based on the user image; the vehicle identification code associated with the registered account information can be obtained through the registered account information, the target vehicle can be determined according to the vehicle identification code and the registered account information, the user behavior characteristics corresponding to the target vehicle are obtained, the user behavior characteristics are analyzed to generate the user portrait, the service recommendation is carried out on the target vehicle and the Internet of vehicles application program according to the generated user portrait, and the intellectualization of vehicle service push is improved.
In an embodiment, the extracting module 10 is further configured to extract a vehicle identification code, registration account information, and a user identification number of the mobile terminal in the registration data when the registration data is obtained; and binding the vehicle identification code, the registration account information and the user identification number of the mobile terminal, and storing the binding in a preset area.
In an embodiment, the obtaining module 30 is further configured to determine a corresponding target vehicle according to the vehicle identification code; acquiring vehicle operation information of the target vehicle and operation information of an Internet of vehicles application program corresponding to the registered account information; and performing data desensitization on the vehicle operation information and the operation information of the Internet of vehicles application program to obtain user behavior characteristics.
In an embodiment, the obtaining module 30 is further configured to obtain a car networking application program corresponding to the registered account information and a buried point interface of the target vehicle; and acquiring the vehicle operation information of the target vehicle and the operation information of the Internet of vehicles application program corresponding to the registered account information according to the embedded point interface.
In an embodiment, the generating module 40 is further configured to extract scene data and user behavior data in the user behavior feature; and analyzing the scene data and the user behavior data through a preset behavior analysis algorithm to generate a user portrait.
In an embodiment, the recommending module 50 is further configured to classify the user images and determine a corresponding user type; inquiring a mapping relation table according to the user type to obtain corresponding service recommendation data, wherein the mapping relation table contains the corresponding relation between the user type and the service recommendation data; and sending the service recommendation data to a target vehicle corresponding to the vehicle identification code and/or a vehicle networking application program corresponding to the registered account information for service recommendation.
In an embodiment, the recommendation module 50 is further configured to obtain usage information of the service recommendation data by the target vehicle and/or the internet of vehicles application; updating the user representation based on the usage information.
In addition, to achieve the above object, the present invention further provides a service recommendation apparatus, including: a memory, a processor and a service recommendation program stored on the memory and executable on the processor, the service recommendation program being configured to implement the steps of the service recommendation method as described above.
Since the service recommendation device adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
Furthermore, an embodiment of the present invention further provides a storage medium, where the storage medium stores a service recommendation program, and the service recommendation program, when executed by a processor, implements the steps of the service recommendation method described above.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may refer to the service recommendation method provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A service recommendation method, characterized in that the service recommendation method comprises:
when a function updating instruction is received, extracting the registered account information in the function updating instruction;
determining a related vehicle identification code according to the registered account information;
obtaining user behavior characteristics according to the vehicle identification code and the registered account information;
generating a user portrait according to the user behavior characteristics;
and recommending service for the target vehicle corresponding to the vehicle identification code and/or the Internet of vehicles application program corresponding to the registered account information based on the user image.
2. The service recommendation method according to claim 1, wherein before extracting the registered account information in the function update instruction when the function update instruction is received, the method further comprises:
when registration data are obtained, extracting a vehicle identification code, registration account information and a user identification number of a mobile terminal in the registration data;
and binding the vehicle identification code, the registration account information and the user identification number of the mobile terminal, and storing the binding in a preset area.
3. The service recommendation method of claim 1, wherein the recommending a service to the target vehicle corresponding to the vehicle identification code and/or the internet-of-vehicles application corresponding to the registered account information based on the user image comprises:
classifying the user pictures to determine corresponding user types;
inquiring a mapping relation table according to the user type to obtain corresponding service recommendation data, wherein the mapping relation table contains the corresponding relation between the user type and the service recommendation data;
and sending the service recommendation data to a target vehicle corresponding to the vehicle identification code and/or a vehicle networking application program corresponding to the registered account information for service recommendation.
4. The service recommendation method of claim 1, wherein obtaining user behavior characteristics according to the vehicle identification code and the registered account information comprises:
determining a corresponding target vehicle according to the vehicle identification code;
acquiring vehicle operation information of the target vehicle and operation information of an Internet of vehicles application program corresponding to the registered account information;
and performing data desensitization on the vehicle operation information and the operation information of the Internet of vehicles application program to obtain user behavior characteristics.
5. The service recommendation method of claim 4, wherein the obtaining of the vehicle operation information of the target vehicle and the operation information of the internet-of-vehicles application program corresponding to the registered account information comprises:
acquiring a vehicle networking application program corresponding to the registered account information and a buried point interface of the target vehicle;
and acquiring the vehicle operation information of the target vehicle and the operation information of the Internet of vehicles application program corresponding to the registered account information according to the embedded point interface.
6. The service recommendation method of claim 1, wherein said generating a user representation from said user behavior characteristics comprises:
extracting scene data and user behavior data in the user behavior characteristics;
and analyzing the scene data and the user behavior data through a preset behavior analysis algorithm to generate a user portrait.
7. The service recommendation method according to any one of claims 1 to 6, wherein after sending the service recommendation data to a target vehicle corresponding to the vehicle identification code and/or a vehicle networking application corresponding to the registered account information for service recommendation, the method further comprises:
obtaining the use information of the target vehicle and/or the internet of vehicles application program on the service recommendation data;
updating the user representation based on the usage information.
8. A service recommendation apparatus, characterized in that the service recommendation apparatus comprises:
the extraction module is used for extracting the registered account information in the function updating instruction when the function updating instruction is received;
the determining module is used for determining the associated vehicle identification code according to the registered account information;
the acquisition module is used for acquiring user behavior characteristics according to the vehicle identification code and the registered account information;
the generating module is used for generating a user portrait according to the user behavior characteristics;
and the recommending module is used for recommending service to the target vehicle corresponding to the vehicle identification code and/or the Internet of vehicles application program corresponding to the registered account information based on the user image.
9. A service recommendation device characterized in that the service recommendation device comprises: a memory, a processor, and a service recommendation program stored on the memory and executable on the processor, the service recommendation program configured to implement the service recommendation method of any one of claims 1 to 7.
10. A storage medium, characterized in that the storage medium has stored thereon a service recommendation program that, when executed by a processor, implements the service recommendation method according to any one of claims 1 to 7.
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