CN111984855A - Information recommendation method and device - Google Patents
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- 230000036651 mood Effects 0.000 claims description 23
- 230000006399 behavior Effects 0.000 description 90
- 230000006870 function Effects 0.000 description 16
- 238000004590 computer program Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 10
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- 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
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
Abstract
The embodiment of the disclosure discloses an information recommendation method and device, relates to the technical field of automobiles, and can solve the problems that an owner of an existing automobile needs to actively manage the state of the automobile, and the mode is single. The method comprises obtaining vehicle-related information comprising any one or a combination of: user data of in-vehicle users, behavior data of in-vehicle users, vehicle driving data, and vehicle external data; and recommending information to the user according to the vehicle related information. The embodiment of the disclosure is mainly applicable to a scene that a vehicle sends intelligent recommendation to a user.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of automobiles, in particular to an information recommendation method and device.
Background
With the development of society, personal automobiles are more and more popular, and the functions of vehicle-mounted systems are more and more. People can listen to broadcasting and music through the vehicle-mounted system, and can also intelligently navigate and play pictures and the like, so that the automobile driving process of people becomes more and more enjoyable. However, the functions provided by the existing automobile to people all need to be initiated by the owner actively, namely the owner actively manages the vehicle state, and the mode is single.
Disclosure of Invention
In view of this, the method and apparatus for information recommendation provided by the embodiments of the present disclosure aim to solve the problem that the existing automobile needs the owner to actively manage the vehicle state, and the mode is relatively single.
The embodiment of the disclosure mainly provides the following technical scheme:
in a first aspect, an embodiment of the present disclosure provides an information recommendation method, where the method includes:
obtaining vehicle-related information, the vehicle-related information comprising any one or a combination of: user data of in-vehicle users, behavior data of in-vehicle users, vehicle driving data, and vehicle external data;
and recommending information to the user according to the vehicle related information.
In some embodiments, when the vehicle-related information includes the user data and the behavior data, and the user data includes a passenger number, and the historical behavior data in the behavior data includes a destination input by a user, the recommending information to the user according to the vehicle-related information includes:
when the current behavior data is used for starting an audio playing function for the user, recommending an audio mode to the user according to the number of passengers and/or the destination; wherein the different audio modes correspond to different types of audio.
In some embodiments, the audio modes include: family mode, friend mode, lover mode, and destination mode.
In some embodiments, when the vehicle-related information includes the behavior data and the historical behavior data in the behavior data includes a destination input by a user, the recommending information to the user according to the vehicle-related information includes:
when the current behavior data is the interest points searched by the user or the destination input by the user in the historical behavior data is the interest points, recommending the interest point information to the user according to the behavior data and/or other vehicle related information;
wherein the behavior data includes any one or combination of audio data, video data, user input destination in the historical behavior data, and selected audio mode;
the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
In some embodiments, when the vehicle-related information includes the behavior data and the historical behavior data in the behavior data includes a destination input by a user, the recommending information to the user according to the vehicle-related information includes:
When the current behavior data is used for starting a shopping function for the user, recommending shopping information to the user according to the behavior data and/or other vehicle related information;
wherein the behavior data includes any one or combination of audio data, video data, the destination, and the selected audio mode;
the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
In some embodiments, the step of recommending information to the user according to the vehicle-related information further comprises:
determining the mood of the driver according to the vehicle related information;
recommending any one of the following information to the driver according to the mood: parking lot information, leisure places, shopping information and audio reading information.
In some embodiments, the step of determining the mood of the driver based on the vehicle-related information comprises:
and determining the mood of the driver according to the audio data in the behavior data and/or the vehicle speed information in the vehicle driving data contained in the vehicle-related information.
In a second aspect, an embodiment of the present disclosure provides an apparatus for information recommendation, the apparatus including:
an acquisition unit configured to acquire vehicle-related information including any one or a combination of: user data of in-vehicle users, behavior data of in-vehicle users, vehicle driving data, and vehicle external data;
and the recommending unit is used for recommending information to the user according to the vehicle related information.
In some embodiments, the recommendation unit comprises:
the first recommending module is used for recommending an audio mode to a user according to the number of passengers and/or the destination when the vehicle-related information comprises the user data and the behavior data, the user data comprises the number of passengers, historical behavior data in the behavior data comprises the destination input by the user, and an audio playing function is started for the user by the current behavior data; wherein the different audio modes correspond to different types of audio.
In some embodiments, the audio modes include: family mode, friend mode, lover mode, and destination mode.
In some embodiments, the recommendation unit comprises:
The second recommending module is used for recommending the interest point information to the user according to the behavior data and/or other vehicle related information when the vehicle related information comprises the behavior data and historical behavior data in the behavior data comprises a destination input by the user and the current behavior data is the interest point searched by the user or the destination input by the user in the historical behavior data is the interest point;
wherein the behavior data includes any one or combination of audio data, video data, user input destination in the historical behavior data, and selected audio mode;
the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
In some embodiments, the recommendation unit comprises:
the third recommending module is used for recommending shopping information to the user according to the behavior data and/or other vehicle-related information when the current behavior data starts a shopping function for the user when the vehicle-related information comprises the behavior data and the historical behavior data in the behavior data comprises a destination input by the user;
Wherein the behavior data includes any one or combination of audio data, video data, the destination, and the selected audio mode;
the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
In some embodiments, the recommendation unit comprises:
the determining module is used for determining the mood of the driver according to the vehicle related information;
the fourth recommending module is used for recommending any one of the following information to the driver according to the mood: parking lot information, leisure places, shopping information and audio reading information.
In some embodiments, the determining module is configured to determine the mood of the driver according to audio data in the behavior data and/or vehicle speed information in the vehicle driving data included in the vehicle-related information.
In a third aspect, an embodiment of the present disclosure provides a storage medium, where the storage medium includes a stored program, and when the program runs, a device on which the storage medium is located is controlled to execute the method for information recommendation according to the first aspect.
In a fourth aspect, an embodiment of the present disclosure provides an apparatus for information recommendation, the apparatus including a storage medium; and one or more processors, the storage medium coupled with the processors, the processors configured to execute program instructions stored in the storage medium; the program instructions when executed perform the method of information recommendation of the first aspect.
According to the information recommendation method and device provided by the embodiment of the disclosure, any one or more combinations of user data of the users in the vehicle, behavior data of the users in the vehicle, vehicle driving data and vehicle external data can be obtained, and information is actively recommended to the users according to the obtained information, so that vehicle service modes are increased.
The foregoing description is only an overview of the embodiments of the present disclosure, and in order to make the technical means of the embodiments of the present disclosure more clearly understood, the embodiments of the present disclosure may be implemented in accordance with the content of the description, and in order to make the foregoing and other objects, features, and advantages of the embodiments of the present disclosure more clearly understood, the following detailed description of the embodiments of the present disclosure is given.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the embodiments of the present disclosure. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
Fig. 1 shows a flowchart of a method for information recommendation provided by an embodiment of the present disclosure;
FIG. 2 is a block diagram illustrating components of an apparatus for information recommendation provided by an embodiment of the present disclosure;
fig. 3 shows a block diagram of another information recommendation apparatus provided by an embodiment of the disclosure.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In a first aspect, an embodiment of the present disclosure provides an information recommendation method, as shown in fig. 1, the method including:
101. obtaining vehicle-related information, the vehicle-related information comprising any one or a combination of: user data of in-vehicle users, behavior data of in-vehicle users, vehicle driving data, and vehicle external data.
The cloud end can collect vehicle related data such as user data of the users in the vehicle, behavior data of the users in the vehicle, vehicle driving data and vehicle external data in real time or periodically. The user data mainly comprises the number of passengers, the age of the passengers and the like and can be acquired through a camera in the vehicle; the behavior data of the user mainly comprises operation data, audio data, video data and the like; the driving data mainly comprises vehicle speed, positioning data, navigation data, driving state and the like; the external data mainly comprises seasons, weather, time and the like, and can be acquired through corresponding websites of the Internet.
102. And recommending information to the user according to the vehicle related information.
After the cloud end obtains the vehicle related information, the vehicle related information can be analyzed, whether the vehicle related information meets a preset recommendation rule or not is judged, if the vehicle related information meets a certain preset recommendation rule, recommendation information is generated according to the preset recommendation rule, and the recommendation information is issued to the vehicle for a user to check.
According to the information recommendation method provided by the embodiment of the disclosure, any one or more combinations of user data of the users in the vehicle, behavior data of the users in the vehicle, vehicle driving data and vehicle external data can be obtained, and information is actively recommended to the users according to the obtained information, so that vehicle service modes are increased.
The following four information recommendation scenarios are taken as examples to explain the above step 102 in detail:
when the vehicle-related information includes the user data and the behavior data, the user data includes a passenger number, and the historical behavior data in the behavior data includes a destination input by a user, a specific implementation manner of step 102 may be: and when the current behavior data starts an audio playing function for the user, recommending an audio mode to the user according to the number of passengers and/or the destination.
Wherein the different audio modes correspond to different types of audio. The audio modes include: family mode, friend mode, lover mode, and destination mode. For example, the audio of the family mode may be music of singing family, the friend mode may be music of singing friendship, the lovers mode may be a lover, and the destination mode may be audio of introducing destination.
When the in-vehicle user starts the audio playing function (such as music software is turned on), the number of passengers can be obtained from the user data, the destination can be obtained from the historical behavior data, then the number of passengers and/or the destination are/is matched with the preset audio mode determination rule, and the audio mode which is successfully matched is recommended to the user. For example, when the number of passengers is 2 heterogeneous adults and 1 child, and the destination is a scenic area, a home mode and a destination mode can be recommended to the user.
It should be added that the audio described in the embodiments of the present disclosure is not limited to music, audiobooks, broadcasting, etc.
(II) when the vehicle-related information comprises the behavior data, and the historical behavior data in the behavior data comprises a destination input by a user, the specific implementation manner of the step 102 may be: and recommending the interest point information to the user according to the behavior data and/or other vehicle related information when the current behavior data is the interest point searched by the user or the destination input by the user in the historical behavior data is the interest point.
Wherein the behavior data includes any one or combination of audio data, video data, user input destination in the historical behavior data, and selected audio mode; the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
That is, the point-of-interest information may be recommended to the user according to any one or a combination of audio data, video data, the destination, the selected audio pattern, the number of passengers, season, weather, and time.
The interest point is a term in a geographic information system, and generally refers to all geographic objects which can be abstracted as points, especially some geographic entities closely related to the life of people, such as schools, banks, restaurants, gas stations, hospitals, supermarkets, and the like.
When a user searches for an interest point or the user input destination in the historical behavior data is the interest point, the interest point can be recommended to the user according to the content described by the audio data (such as a song singing a certain scenic spot) and the content described in the video data (such as news introducing a certain leisure place); recommending interest points around the destination to the user according to the destination; when the audio mode selected by the user is not the destination mode, the relationship (such as lovers) among the users in the vehicle can be determined according to the audio mode selected by the user or the number of passengers, and interest points are recommended to the users according to the relationship; points of interest suitable for the user to play are recommended to the user according to the current season, weather or time. Or combining any several parameters to recommend interest points to the user.
(III) when the vehicle-related information includes the behavior data, and the historical behavior data in the behavior data includes a destination input by a user, the specific implementation manner of step 102 may be: when the current behavior data is used for starting a shopping function for the user, recommending shopping information to the user according to the behavior data and/or other vehicle related information;
wherein the behavior data includes any one or combination of audio data, video data, the destination, and the selected audio mode; the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
Similar to the points of interest, shopping information may also be recommended to the user based on any one or a combination of audio data, video data, the destination, a selected audio pattern, a number of passengers, a season, weather, time. The shopping information comprises shopping place and/or commodity information. For example, when the audio mode selected by the user is a couple mode and clothes are introduced in the video data, the couple clothes can be recommended to the user.
(IV) determining the mood of the driver according to the vehicle related information; recommending any one of the following information to the driver according to the mood: parking lot information, leisure places, shopping information and audio reading information.
According to the vehicle-related information, the specific implementation mode for determining the mood of the driver can be as follows: and determining the mood of the driver according to the audio data in the behavior data and/or the vehicle speed information in the vehicle driving data contained in the vehicle-related information.
For example, when the meaning of characters expressed in the audio data is cheerful and the vehicle speed is fast, it may be determined that the mood of the driver is pleasant and shopping information is recommended to the driver; for another example, when the meaning of the words expressed in the audio data is more worried and the vehicle speed is slower, it can be determined that the mood of the driver is sad, and in order to avoid traffic accidents caused by bad mood of the driver, parking lot information can be recommended to the driver to remind the driver to stop the vehicle for adjustment.
In a second aspect, according to the above method embodiment, another embodiment of the present disclosure further provides an apparatus for information recommendation, as shown in fig. 2, the apparatus including:
An obtaining unit 21, configured to obtain vehicle-related information, where the vehicle-related information includes any one or a combination of: user data of in-vehicle users, behavior data of in-vehicle users, vehicle driving data, and vehicle external data;
and the recommending unit 22 is used for recommending information to the user according to the vehicle-related information.
In some embodiments, as shown in fig. 3, the recommending unit 22 includes:
the first recommending module 221, configured to recommend an audio mode to a user according to the number of passengers and/or the destination when the vehicle-related information includes the user data and the behavior data, and the user data includes the number of passengers, and the historical behavior data in the behavior data includes the destination input by the user, and when the current behavior data starts an audio playing function for the user; wherein the different audio modes correspond to different types of audio.
In some embodiments, the audio modes include: family mode, friend mode, lover mode, and destination mode.
In some embodiments, as shown in fig. 3, the recommending unit 22 includes:
a second recommending module 222, configured to, when the vehicle-related information includes the behavior data and historical behavior data in the behavior data includes a destination input by a user, recommend point-of-interest information to the user according to the behavior data and/or other vehicle-related information when current behavior data is a point-of-interest searched for by the user or the destination input by the user in the historical behavior data is a point-of-interest;
Wherein the behavior data includes any one or combination of audio data, video data, user input destination in the historical behavior data, and selected audio mode;
the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
In some embodiments, as shown in fig. 3, the recommending unit 22 includes:
a third recommending module 223, configured to recommend shopping information to the user according to the behavior data and/or other vehicle-related information when the current behavior data is that the user starts a shopping function when the vehicle-related information includes the behavior data and historical behavior data in the behavior data includes a destination input by the user;
wherein the behavior data includes any one or combination of audio data, video data, the destination, and the selected audio mode;
the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
In some embodiments, as shown in fig. 3, the recommending unit 22 includes:
a determining module 224, configured to determine a mood of a driver according to the vehicle-related information;
a fourth recommending module 225, configured to recommend any one of the following information to the driver according to the mood: parking lot information, leisure places, shopping information and audio reading information.
In some embodiments, the determining module 224 is configured to determine the mood of the driver according to the audio data in the behavior data and/or the vehicle speed information in the vehicle driving data included in the vehicle-related information.
The device comprises a processor and a storage medium, wherein the acquisition unit 21, the recommendation unit 22 and the like are stored in the storage medium as program units, and the processor executes the program units stored in the storage medium to realize corresponding functions.
The processor comprises a kernel, and the kernel calls a corresponding program unit from a storage medium. The kernel can be set to be one or more, and intelligent recommendation is sent to the user by adjusting the kernel parameters.
The information recommendation device provided by the embodiment of the disclosure can acquire any one or combination of a plurality of items of user data of the in-vehicle user, behavior data of the in-vehicle user, vehicle driving data and vehicle external data, and actively recommend information to the user according to the acquired information, so that vehicle service modes are increased.
The information recommendation device provided in the embodiment of the second aspect may be configured to execute the unmanned method provided in the embodiment of the first aspect, and the related meanings and specific implementations of the unmanned method provided in the embodiment of the first aspect may be referred to in the related description in the embodiment of the first aspect, and are not described in detail here.
In a third aspect, an embodiment of the present disclosure provides a storage medium including a stored program, where the program is executed to control a device on which the storage medium is located to perform the information recommendation method as described above.
The storage medium may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The instructions stored in the storage medium provided by the embodiment of the disclosure can acquire any one or a combination of a plurality of items of user data of the in-vehicle user, behavior data of the in-vehicle user, vehicle driving data and vehicle external data, and actively recommend information to the user according to the acquired information, thereby increasing vehicle service modes.
In a fourth aspect, an embodiment of the present disclosure provides an apparatus for information recommendation, the apparatus including a storage medium; and one or more processors, the storage medium coupled with the processors, the processors configured to execute program instructions stored in the storage medium; the program instructions when executed perform the method of information recommendation as described above.
The information recommendation device provided by the embodiment of the disclosure can acquire any one or combination of a plurality of items of user data of the in-vehicle user, behavior data of the in-vehicle user, vehicle driving data and vehicle external data, and actively recommend information to the user according to the acquired information, so that vehicle service modes are increased.
Embodiments of the present disclosure also provide a computer program product adapted to perform program code for initializing the following method steps when executed on an apparatus for information recommendation:
obtaining vehicle-related information, the vehicle-related information comprising any one or a combination of: user data of in-vehicle users, behavior data of in-vehicle users, vehicle driving data, and vehicle external data;
and recommending information to the user according to the vehicle related information.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, embodiments of the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (16)
1. A method for information recommendation, the method comprising:
obtaining vehicle-related information, the vehicle-related information comprising any one or a combination of: user data of in-vehicle users, behavior data of in-vehicle users, vehicle driving data, and vehicle external data;
and recommending information to the user according to the vehicle related information.
2. The method of claim 1, wherein when the vehicle-related information includes the user data and the behavior data, and the user data includes a passenger number, and historical behavior data in the behavior data includes a destination input by a user, the recommending information to the user according to the vehicle-related information includes:
when the current behavior data is used for starting an audio playing function for the user, recommending an audio mode to the user according to the number of passengers and/or the destination; wherein the different audio modes correspond to different types of audio.
3. The method of claim 2, wherein the audio mode comprises: family mode, friend mode, lover mode, and destination mode.
4. The method according to claim 2, wherein when the vehicle-related information includes the behavior data and the historical behavior data in the behavior data includes a destination input by a user, the step of recommending information to the user according to the vehicle-related information includes:
when the current behavior data is the interest points searched by the user or the destination input by the user in the historical behavior data is the interest points, recommending the interest point information to the user according to the behavior data and/or other vehicle related information;
wherein the behavior data includes any one or combination of audio data, video data, user input destination in the historical behavior data, and selected audio mode;
the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
5. The method according to claim 2, wherein when the vehicle-related information includes the behavior data and the historical behavior data in the behavior data includes a destination input by a user, the step of recommending information to the user according to the vehicle-related information includes:
When the current behavior data is used for starting a shopping function for the user, recommending shopping information to the user according to the behavior data and/or other vehicle related information;
wherein the behavior data includes any one or combination of audio data, video data, the destination, and the selected audio mode;
the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
6. The method according to any one of claims 1-5, wherein the step of recommending information to the user based on the vehicle-related information further comprises:
determining the mood of the driver according to the vehicle related information;
recommending any one of the following information to the driver according to the mood: parking lot information, leisure places, shopping information and audio reading information.
7. The method of claim 6, wherein the step of determining the mood of the driver based on the vehicle-related information comprises:
and determining the mood of the driver according to the audio data in the behavior data and/or the vehicle speed information in the vehicle driving data contained in the vehicle-related information.
8. An apparatus for information recommendation, the apparatus comprising:
an acquisition unit configured to acquire vehicle-related information including any one or a combination of: user data of in-vehicle users, behavior data of in-vehicle users, vehicle driving data, and vehicle external data;
and the recommending unit is used for recommending information to the user according to the vehicle related information.
9. The apparatus of claim 8, wherein the recommending unit comprises:
the first recommending module is used for recommending an audio mode to a user according to the number of passengers and/or the destination when the vehicle-related information comprises the user data and the behavior data, the user data comprises the number of passengers, historical behavior data in the behavior data comprises the destination input by the user, and an audio playing function is started for the user by the current behavior data; wherein the different audio modes correspond to different types of audio.
10. The apparatus of claim 9, wherein the audio mode comprises: family mode, friend mode, lover mode, and destination mode.
11. The apparatus of claim 9, wherein the recommending unit comprises:
The second recommending module is used for recommending the interest point information to the user according to the behavior data and/or other vehicle related information when the vehicle related information comprises the behavior data and historical behavior data in the behavior data comprises a destination input by the user and the current behavior data is the interest point searched by the user or the destination input by the user in the historical behavior data is the interest point;
wherein the behavior data includes any one or combination of audio data, video data, user input destination in the historical behavior data, and selected audio mode;
the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
12. The apparatus of claim 9, wherein the recommending unit comprises:
the third recommending module is used for recommending shopping information to the user according to the behavior data and/or other vehicle-related information when the current behavior data starts a shopping function for the user when the vehicle-related information comprises the behavior data and the historical behavior data in the behavior data comprises a destination input by the user;
Wherein the behavior data includes any one or combination of audio data, video data, the destination, and the selected audio mode;
the other vehicle-related information according to comprises user data comprising the number of passengers and/or vehicle-external data comprising any one or a combination of season, weather, time.
13. The apparatus according to any one of claims 8-12, wherein the recommending unit comprises:
the determining module is used for determining the mood of the driver according to the vehicle related information;
the fourth recommending module is used for recommending any one of the following information to the driver according to the mood: parking lot information, leisure places, shopping information and audio reading information.
14. The device according to claim 13, wherein the determining module is configured to determine the mood of the driver according to audio data in behavior data included in the vehicle-related information and/or vehicle speed information in vehicle driving data.
15. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, a device where the storage medium is located is controlled to execute the information recommendation method according to any one of claims 1 to 7.
16. An apparatus for information recommendation, the apparatus comprising a storage medium; and one or more processors, the storage medium coupled with the processors, the processors configured to execute program instructions stored in the storage medium; the program instructions when executed perform a method of information recommendation as claimed in any one of claims 1 to 7.
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