CN115905734A - Method and device for carrying out intelligent recommendation based on geographic position information - Google Patents
Method and device for carrying out intelligent recommendation based on geographic position information Download PDFInfo
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Abstract
The application discloses a method and a device for intelligent recommendation based on geographic position information. The method for carrying out intelligent recommendation based on the geographic position information comprises the following steps: collecting geographical position information of a user in real time; collecting status information of users on each seat; synchronizing the current geographic position information of the vehicle and the user states of all users in the vehicle; matching an optimal recommended item adapted to the current geographic position and the user state based on pre-stored user data, wherein the user data comprises one or more users and various behaviors associated with each user; and sending the optimal recommended item to a vehicle machine, and displaying the optimal recommended item to a corresponding user by the vehicle machine. According to the method and the device, the geographical position information and the current state information of the user are combined, the recommended item which is matched with the current state of the user at the current position most is screened out and recommended to the user, and the driving or riding experience of the user is improved.
Description
Technical Field
The application relates to the technical field of vehicle-mounted media file playing, in particular to a method for intelligently recommending based on geographic position information and a device for intelligently recommending based on geographic position information.
Background
With the popularization of automobile vehicles, driving for long-distance and short-distance travel has become a common holiday leisure mode. The vehicle-mounted multimedia audio and video can meet a series of requirements of travel users for tracing dramas, learning, meetings and the like at leisure time.
The intelligent system in the vehicle is a part of the vehicle machine which interacts with the user more frequently, the action operation of each user is unique, and the requirement and the expectation of each user are also unique. If the vehicle-mounted machine system can generate unique and expected behavior recommendations according to different users, user states and geographic positions, the in-vehicle experience can be greatly increased for the users.
In the prior art, the current vehicle-mounted entertainment system mainly focuses on the entertainment part, and the applications of videos, music and the like are added. But relies heavily on user active input. On the other hand, some services related to local life, such as eating and drinking, are also added to the living needs of the drivers and the passengers. But in the driving course, the remembered words are not only enjoyed and enjoyed, and some additional memories such as history, human landscape, biographies of characters and the like can be added. Furthermore, existing recommendation systems are not detailed and deep enough for customized services of different users.
The reasons for the above problems of the existing locomotive intelligent recommendation system mainly include: 1. the system can firstly collect the most prior requirements of users, and the current applications such as videos, music and the like are also the most time-consuming requirements. 2. Services aiming at local life already have an existing mode, and the services are convenient to borrow. 3. The customized deep service requires a long time for investment, and the requirements for the system are very high.
Accordingly, a solution is desired to solve or at least mitigate the above-mentioned deficiencies of the prior art.
Disclosure of Invention
The present invention is directed to a method for performing intelligent recommendation based on geographical location information to solve at least one of the above problems.
One aspect of the present invention provides a method for performing intelligent recommendation based on geographical location information, which mainly includes:
collecting geographical position information of a user in real time;
collecting status information of users on each seat;
synchronizing the current geographic position information of the vehicle and the user states of all users in the vehicle;
matching an optimal recommended item adapted to the current geographic position and the user state based on pre-stored user data, wherein the user data comprises one or more users and a plurality of behaviors associated with each user;
and sending the optimal recommended item to a vehicle machine, and displaying the optimal recommended item to a corresponding user by the vehicle machine.
Preferably, the collecting the geographical location information of the user includes:
and collecting the geographical position information of the user in real time through gps of the vehicle-mounted tbox.
Preferably, the collecting of the status information of the users in the respective seats comprises:
image status information of the users in the respective seats is collected by a camera and/or sound status information of the users in the respective seats is collected by a microphone.
Preferably, the method for performing intelligent recommendation based on geographical location information further includes constructing and storing the user data, and constructing and storing the user data includes:
collecting users logging in a vehicle machine system for the first time and behavior data thereof;
performing portrait analysis on the user based on the behavior data, and determining user states corresponding to all behaviors of the user;
associating the user and the state and the behavior of the user to form a plurality of association items, wherein each association item comprises a specific user and a plurality of behaviors and states of the specific user;
and storing each association entry.
Preferably, the matching of the optimal recommended item adapted to the current geographic location and the user status includes:
determining a plurality of alternative recommended items matched with the current geographic position based on the current geographic position;
and sequencing the alternative recommended items based on the user state, and selecting the recommended item with the highest sequencing as the optimal recommended item.
Preferably, the plurality of recommended items matched with the current geographic position include, but are not limited to, local history information and local character information.
Preferably, if the user state is a sleep state, the optimal item recommendation is abandoned.
Preferably, the sorting the alternative recommended items based on the user status includes:
determining a first score of each alternative recommended item according to a preset item score;
determining a second score corresponding to the user state according to a preset state score;
and sequencing the plurality of first scores according to the principle that the difference value between the first scores and the second scores is the minimum, and sequencing the candidate recommended items.
Preferably, sending the optimal recommended item to a vehicle machine, and displaying the optimal recommended item to a corresponding user by the vehicle machine includes:
determining the position of a cockpit where a user corresponding to the optimal recommended item is located;
and sending the optimal recommended item to the user through a screen and a language output device associated with the position of the cockpit.
In a second aspect of the present invention, an apparatus for performing intelligent recommendation based on geographic location information is provided, which mainly includes:
the geographic position information collection module is used for collecting the geographic position information of the user in real time;
the state information collection module is used for collecting the state information of the users on all the seats;
the synchronization module is used for synchronizing the current geographic position information of the vehicle and the user states of all users in the vehicle;
the optimal recommended item matching module is used for matching optimal recommended items adaptive to the current geographic position and the user state based on pre-stored user data, wherein the user data comprises one or more users and various behaviors related to each user;
and the optimal recommended item display module is used for sending the optimal recommended item to the vehicle machine and displaying the optimal recommended item to a corresponding user by the vehicle machine.
Preferably, the geographical location information collecting module includes:
and the gps unit of the vehicle-mounted tbox is used for collecting the geographical position information of the user in real time.
Preferably, the state information collecting module includes:
a camera for collecting image status information of users in each seat, and/or a microphone for collecting sound status information of users in each seat.
Preferably, the device for performing intelligent recommendation based on geographical location information further includes a database construction module, configured to construct and store the user data, where the database construction module includes:
the behavior data collection unit is used for collecting users logging in the vehicle machine system for the first time and behavior data thereof;
the user portrait analysis unit is used for carrying out portrait analysis on the user based on the behavior data and determining the user state corresponding to each behavior of the user;
the system comprises an association entry generation unit, a storage unit and a display unit, wherein the association entry generation unit is used for associating a user and the state and the behavior of the user to form a plurality of association entries, and each association entry comprises a specific user and a plurality of behaviors and states of the specific user;
and the data storage unit is used for storing each association entry.
Preferably, the behavior data collecting unit is configured to include:
the alternative recommended item generating unit is used for determining a plurality of alternative recommended items matched with the current geographic position based on the current geographic position;
and the item sorting unit is used for sorting the candidate recommended items based on the user state and selecting the recommended item which is sorted most before as the optimal recommended item.
Preferably, the plurality of recommended items matched with the current geographic position include, but are not limited to, local history information and local character information.
Preferably, if the user state is the sleep state, the optimal item recommendation is abandoned.
Preferably, the item sorting unit includes:
the first score operator unit is used for determining a first score of each alternative recommended item according to a preset item score;
the second score operator unit is used for determining a second score corresponding to the user state according to a preset state score;
and the score sorting subunit is configured to sort the plurality of first scores according to a principle that the difference between the plurality of first scores and the second score is the smallest, and further sort the candidate recommendation items.
Preferably, the optimal recommended item presentation module includes:
the user position determining unit is used for determining the position of the cockpit where the user corresponding to the optimal recommended item is located;
and the output equipment calling unit is used for sending the optimal recommended item to the user through a screen and language output equipment which are associated with the position of the cockpit.
In a third aspect of the present invention, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, the processor implements the method for intelligently recommending based on geographic location information as described above.
In a fourth aspect of the present application, a computer-readable storage medium is provided, in which a computer program is stored, and the computer program, when being executed by a processor, can implement the above method for intelligent recommendation based on geographical location information.
Has the advantages that:
according to the method and the device, the incidence relation between the current state of the user and the behavior of the user is determined through the descriptive analysis of the behavior of the user, then in the vehicle machine running process, the geographical position information and the current state information of the user are combined, the recommended item which is most matched with the current state of the user in the current position is screened out and recommended to the user, and the driving or riding experience of the user is improved.
According to the method and the system, historical information and character information under the current geographic position can be recommended, the sense of thickness of the airborne recommendation system is increased, and user experience is enhanced.
Drawings
Fig. 1 is a flowchart of a method for intelligent recommendation based on geographical location information according to an embodiment of the present application.
Fig. 2 is a schematic diagram of an electronic device capable of implementing a method for intelligent recommendation based on geographic location information according to an embodiment of the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are a subset of the embodiments in the present application and not all embodiments in the present application. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application. Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating a method for performing intelligent recommendation based on geographical location information according to an embodiment of the present application.
The problems to be solved by the present application mainly include the following aspects:
1. active input of a user can be reduced and simplified as much as possible, and the intelligent recommendation system is combined with a camera and a microphone in the vehicle to analyze operation which the user may execute.
2. Compared with services such as local life and the like which are relatively common, related functions such as history, culture, celebrities and the like related to the geographic position are added, and additional cultural popularization and historical popularization are increased. The impression associated with the character and the geographic environment may also be increased.
3. The self-service intelligent recommendation system not only processes the label words for the user, but also can perform accurate user picture analysis for the user, and recommends the operation more suitable for the user by combining the real-time state of the current user, such as mood, fatigue degree and the like.
The method for performing intelligent recommendation based on geographical location information as shown in fig. 1 comprises the following steps:
step S1: collecting geographical position information of a user in real time;
step S2: collecting status information of users on each seat;
and step S3: synchronizing the current geographic position information of the vehicle and the user states of all users in the vehicle;
and step S4: matching an optimal recommended item adapted to the current geographic position and the user state based on pre-stored user data, wherein the user data comprises one or more users and a plurality of behaviors associated with each user;
step S5: and sending the optimal recommended item to a vehicle machine, and displaying the optimal recommended item to a corresponding user by the vehicle machine.
According to the system, through collection and analysis of human information and combination of geographic position information of the current vehicle, screen display and voice broadcast in a seat are recommended to be combined through an intelligent system, and then the current geographic position is matched, so that interactive experience of initiative and riding personnel of a cabin system is increased. On one hand, the city of the user can be deeply known, for example, the naming basis of a certain street, the ever-living place of a certain historical figure, the birth place of a self idol and the like can increase the expectation and recall of the street. On the other hand, for a long-distance journey, explanation on Mingchuan mountain and classical historical scenes is increased, and the experience of self-driving tour is increased.
According to the method and the device, the incidence relation between the current state of the user and the behavior of the user is determined through the depiction analysis of the behavior of the user, then in the vehicle-mounted device operation process, the geographical position information and the current state information of the user are combined, the recommended item which is most matched with the current state of the user in the current position is screened out and recommended to the user, and the driving or riding experience of the user is improved.
In some optional embodiments, the collecting the geographical location information of the user comprises:
and collecting the geographical position information of the user in real time through gps of the vehicle-mounted tbox.
The automobile tbox means Telematics-BOX, which is called vehicle-mounted T-BOX for short, and the Internet of vehicles system consists of a host, the automobile T-BOX, mobile application and a background system. The main machine is mainly used for audio-visual entertainment and vehicle information display in the vehicle; the automobile T-box is mainly used for communicating with a background system/mobile application to realize vehicle information display and control of the mobile application. After the user sends a control command through the mobile application, the TSP background sends a monitoring request command to the automobile T-box, and the function can help the user to remotely start the automobile, turn on an air conditioner, adjust a seat to a proper position and the like. The Global Positioning System (GPS) is a component of tbox, and is a high-precision radio navigation Positioning System based on artificial earth satellites, which can provide accurate geographic position, vehicle speed and precise time information anywhere in the world and in the near space. The embodiment can collect the geographical location information of the user in real time through the gps of the vehicle-mounted tbox.
In some alternative embodiments, the collecting status information of the users in the respective seats comprises:
image status information of the users in the respective seats is collected by a camera and/or sound status information of the users in the respective seats is collected by a microphone.
In this embodiment, the user state information is usually determined by behavior data, the relationship between the behavior data and the user state is stored in the server in advance, after the user logs in the car machine system, the system reads from the storage system of the server to determine whether there is a current user, if so, the user behavior data is read, and if not, the user related information is created again.
It can be understood that, when the user behavior is identified or monitored through the camera and the microphone, the corresponding user state may be, for example, fatigue, excitement, pleasant mood, silence, sleep, and other states.
In some optional embodiments, the method for making intelligent recommendation based on geographical location information further includes constructing and storing the user data, and constructing and storing the user data includes:
collecting users logging in a vehicle machine system for the first time and behavior data thereof;
performing portrait analysis on the user based on the behavior data, and determining user states corresponding to all behaviors of the user;
associating the user and the state and the behavior of the user to form a plurality of association items, wherein each association item comprises a specific user and a plurality of behaviors and states of the specific user;
and storing each association entry.
For example, if the user behavior is singing, the user state corresponding to the behavior is considered to be happy after the user portrait is analyzed, and if the user behavior is squinting depending on a seat, the user state corresponding to the behavior is considered to be sleepy after the user portrait is analyzed.
In this embodiment, each user has multiple behaviors, each behavior corresponds to a user state, and when the user states are stored, the user states are stored according to the users, each user table includes multiple records, and each record includes two columns of the user behavior and the user state.
In some optional embodiments, the matching of the optimal recommended item adapted to the current geographic location and the user status includes:
determining a plurality of alternative recommended items matched with the current geographic position based on the current geographic position;
and sorting the alternative recommended items based on the user state, and selecting the recommended item with the top sorting as the optimal recommended item.
In some optional embodiments, the plurality of recommended items matching the current geographic location include, but are not limited to, local history information and local personal information.
In this example, such as when traveling with three people out, the husband is driving, the wife is in copilot, and the child is in the back row. When the user passes a place which is just the living of a celebrity and is also exactly the idol of a wife, the system can synchronously recommend the brief introduction of the celebrity to the assistant driving screen and the back row screen after calculation.
In some optional embodiments, if the user state is a sleep state, the optimal item recommendation is abandoned.
In some optional embodiments, the ranking the alternative recommended items based on the user status includes:
determining a first score of each alternative recommended item according to a preset item score;
determining a second score corresponding to the user state according to a preset state score;
and sequencing the plurality of first scores according to the principle that the difference value between the first scores and the second scores is the minimum, and further sequencing all the candidate recommended items.
In this embodiment, the database preferably stores the first score of each recommended item, for example, the food recommendation is 5 scores, the human recommendation is 9 scores, and the music recommendation is 6 scores. The corresponding database also stores second scores for each state, such as 8.9 for quiet, 10 for sleep, 7 for excited, 5.2 for hunger, and so on.
It is to be understood that the first score and the second score are preset, and when the numerical value of the first score is equivalent to the numerical value of the second score, the recommended item desired in this state is indicated.
In some optional embodiments, sending the optimal recommended item to a vehicle machine, and presenting the optimal recommended item to a corresponding user by the vehicle machine includes:
determining the position of a cockpit where a user corresponding to the optimal recommended item is located;
and sending the optimal recommended item to the user through a screen and a language output device associated with the position of the cockpit.
It can be understood that the optimal recommended item of the application is different for different users, the system respectively obtains the states of the users at various positions in the cockpit, then gives the optimal recommended item of the corresponding user, and then sends the content of the optimal recommended item to a display screen, an earphone/a loudspeaker and the like in front of the user, so that the display of the optimal recommended item is realized.
In a second aspect of the present invention, there is provided an apparatus for performing intelligent recommendation based on geographic location information, which corresponds to the foregoing method, and mainly includes:
the geographic position information collection module is used for collecting the geographic position information of the user in real time;
the state information collection module is used for collecting the state information of the users on all the seats;
the synchronization module is used for synchronizing the current geographic position information of the vehicle and the user states of all users in the vehicle;
the optimal recommended item matching module is used for matching optimal recommended items adaptive to the current geographic position and the user state based on pre-stored user data, wherein the user data comprises one or more users and various behaviors related to each user;
and the optimal recommended item display module is used for sending the optimal recommended item to the vehicle machine and displaying the optimal recommended item to a corresponding user by the vehicle machine.
In some optional embodiments, the geographical location information collection module comprises:
and the gps unit of the vehicle-mounted tbox is used for collecting the geographical position information of the user in real time.
In some optional embodiments, the state information collecting module comprises:
a camera for collecting image status information of users in each seat, and/or a microphone for collecting sound status information of users in each seat.
In some optional embodiments, the apparatus for intelligent recommendation based on geographical location information further includes a database construction module for constructing and storing the user data, the database construction module includes:
the behavior data collection unit is used for collecting users logging in the vehicle machine system for the first time and behavior data thereof;
the user portrait analysis unit is used for carrying out portrait analysis on the user based on the behavior data and determining the user state corresponding to each behavior of the user;
the system comprises an association entry generation unit, a storage unit and a display unit, wherein the association entry generation unit is used for associating a user and the state and the behavior of the user to form a plurality of association entries, and each association entry comprises a specific user and a plurality of behaviors and states of the specific user;
and the data storage unit is used for storing each association entry.
In some optional embodiments, the behavior data collection unit is configured to include:
the alternative recommended item generating unit is used for determining a plurality of alternative recommended items matched with the current geographic position based on the current geographic position;
and the item sorting unit is used for sorting the candidate recommended items based on the user state and selecting the recommended item which is sorted at the top as the optimal recommended item.
In some optional embodiments, the plurality of recommended items matching the current geographic location include, but are not limited to, local history information and local personal information.
In some optional embodiments, if the user state is a sleep state, the optimal item recommendation is abandoned.
In some optional embodiments, the item ordering unit comprises:
the first score operator unit is used for determining a first score of each alternative recommended item according to a preset item score;
the second score operator unit is used for determining a second score corresponding to the user state according to a preset state score;
and the score sorting subunit is configured to sort the plurality of first scores according to a principle that the difference between the plurality of first scores and the second score is the smallest, and further sort the candidate recommendation items.
In some optional embodiments, the optimal recommended item presentation module includes:
the user position determining unit is used for determining the position of the cockpit where the user corresponding to the optimal recommended item is located;
and the output equipment calling unit is used for sending the optimal recommended item to the user through a screen and language output equipment which are associated with the position of the cockpit.
The application also provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to implement the above method for intelligent recommendation based on geographical location information.
The application also provides a computer readable storage medium, which stores a computer program, and the computer program can realize the above method for intelligent recommendation based on geographical location information when being executed by a processor.
Fig. 2 is an exemplary block diagram of an electronic device capable of implementing a method for intelligent recommendation based on geographical location information according to an embodiment of the present application.
As shown in fig. 2, the electronic device includes an input device 501, an input interface 502, a central processor 503, a memory 504, an output interface 505, and an output device 506. The input interface 502, the central processing unit 503, the memory 504 and the output interface 505 are connected to each other through a bus 507, and the input device 501 and the output device 506 are connected to the bus 507 through the input interface 502 and the output interface 505, respectively, and further connected to other components of the electronic device. Specifically, the input device 504 receives input information from the outside and transmits the input information to the central processor 503 through the input interface 502; the central processor 503 processes input information based on computer-executable instructions stored in the memory 504 to generate output information, temporarily or permanently stores the output information in the memory 504, and then transmits the output information to the output device 506 through the output interface 505; the output device 506 outputs the output information to the outside of the electronic device for use by the user.
That is, the electronic device shown in fig. 2 may also be implemented to include: a memory storing computer executable instructions; and one or more processors which, when executing the computer-executable instructions, may implement the method for intelligent recommendation based on geographic location information described in connection with fig. 1.
In one embodiment, the electronic device shown in FIG. 2 may be implemented to include: a memory 504 configured to store executable program code; one or more processors 503 configured to execute the executable program code stored in the memory 504 to perform the method for intelligent recommendation based on geographical location information in the above embodiments.
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). Memory is an example of a computer-readable medium.
Computer-readable media include both non-transitory and non-transitory, removable and non-removable media that 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 Disks (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 will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 the like) having computer-usable program code embodied therein.
Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps. A plurality of units, modules or devices recited in the device claims may also be implemented by one unit or overall device by software or hardware.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks identified in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The Processor referred to in this embodiment may be a Central Processing Unit (CPU), and may also be other general purpose processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the apparatus/terminal device by executing or performing the computer programs and/or modules stored in the memory, as well as invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
In this embodiment, the module/unit integrated with the apparatus/terminal device may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, all or part of the flow in the method according to the embodiments of the present invention may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in the jurisdiction. Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 the like) having computer-usable program code embodied therein.
Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps. A plurality of units, modules or devices recited in the device claims may also be implemented by one unit or overall device by software or hardware.
Although the invention has been described in detail hereinabove with respect to a general description and specific embodiments thereof, it will be apparent to those skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, it is intended that all such modifications and alterations be included within the scope of this invention as defined in the appended claims.
Claims (10)
1. A method for intelligent recommendation based on geographic position information is characterized by comprising the following steps:
collecting geographical position information of a user in real time;
collecting status information of users on each seat;
synchronizing the current geographic position information of the vehicle and the user states of all users in the vehicle;
matching an optimal recommended item adapted to the current geographic position and the user state based on pre-stored user data, wherein the user data comprises one or more users and a plurality of behaviors associated with each user;
and sending the optimal recommended item to a vehicle machine, and displaying the optimal recommended item to a corresponding user by the vehicle machine.
2. The method of claim 1, wherein the collecting the geographical location information of the user comprises:
and collecting the geographical position information of the user in real time through gps of the vehicle-mounted tbox.
3. The method of claim 1, wherein collecting the status information of the users in the respective seats comprises:
image status information of the users in the respective seats is collected by a camera and/or sound status information of the users in the respective seats is collected by a microphone.
4. The method for making intelligent recommendations based on geographical location information of claim 1 further comprising constructing and storing said user data, said constructing and storing said user data comprising:
collecting users logging in a vehicle machine system for the first time and behavior data thereof;
performing portrait analysis on the user based on the behavior data, and determining user states corresponding to all behaviors of the user;
associating the user and the state and the behavior of the user to form a plurality of association items, wherein each association item comprises a specific user and a plurality of behaviors and states of the specific user;
and storing each association entry.
5. The method of claim 1, wherein the matching of the optimal recommended item that is suitable for the current geographic location and the user status comprises:
determining a plurality of alternative recommended items matched with the current geographic position based on the current geographic position;
and sorting the alternative recommended items based on the user state, and selecting the recommended item with the top sorting as the optimal recommended item.
6. The method of claim 5, wherein the recommended items matched with the current geographic location include, but are not limited to, local history information and local personal information.
7. The method for making intelligent recommendation based on geographical location information of claim 5, wherein if the user status is asleep status, then abandoning the current best item recommendation.
8. The method of claim 5, wherein the ranking the alternative recommended items based on the user status comprises:
determining a first score of each alternative recommended item according to a preset item score;
determining a second score corresponding to the user state according to a preset state score;
and sequencing the plurality of first scores according to the principle that the difference value between the first scores and the second scores is the minimum, and further sequencing all the candidate recommended items.
9. The method for intelligent recommendation based on geographical location information of claim 1, wherein sending the optimal recommendation item to a vehicle machine, and the vehicle machine presenting to a corresponding user comprises:
determining the position of a cockpit where a user corresponding to the optimal recommended item is located;
and sending the optimal recommended item to the user through a screen and a language output device associated with the position of the cockpit.
10. An apparatus for intelligent recommendation based on geographical location information, comprising:
the geographic position information collection module is used for collecting the geographic position information of the user in real time;
the state information collection module is used for collecting the state information of the users on all the seats;
the synchronization module is used for synchronizing the current geographic position information of the vehicle and the user states of all users in the vehicle;
the optimal recommended item matching module is used for matching optimal recommended items adaptive to the current geographic position and the user state based on pre-stored user data, wherein the user data comprises one or more users and various behaviors related to each user;
and the optimal recommended item display module is used for sending the optimal recommended item to the vehicle machine and displaying the optimal recommended item to a corresponding user by the vehicle machine.
Priority Applications (2)
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| CN202211390001.2A CN115905734A (en) | 2022-11-08 | 2022-11-08 | Method and device for carrying out intelligent recommendation based on geographic position information |
| PCT/CN2023/088910 WO2024098667A1 (en) | 2022-11-08 | 2023-04-18 | Method and device for intelligent recommendation based on geographical location information |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211390001.2A CN115905734A (en) | 2022-11-08 | 2022-11-08 | Method and device for carrying out intelligent recommendation based on geographic position information |
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| CN115905734A true CN115905734A (en) | 2023-04-04 |
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| CN202211390001.2A Pending CN115905734A (en) | 2022-11-08 | 2022-11-08 | Method and device for carrying out intelligent recommendation based on geographic position information |
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| WO (1) | WO2024098667A1 (en) |
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| WO2024098667A1 (en) * | 2022-11-08 | 2024-05-16 | 中国第一汽车股份有限公司 | Method and device for intelligent recommendation based on geographical location information |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2014123328A1 (en) * | 2013-02-08 | 2014-08-14 | Samsung Electronics Co., Ltd. | Method and device for providing recommendation panel, and method and server for providing recommendation item |
| CN112947740A (en) * | 2019-11-22 | 2021-06-11 | 深圳市超捷通讯有限公司 | Human-computer interaction method based on motion analysis and vehicle-mounted device |
| CN114222189A (en) * | 2020-09-04 | 2022-03-22 | 奥迪股份公司 | Content customization method and device, computer equipment and storage medium |
| CN114710552A (en) * | 2020-12-17 | 2022-07-05 | 宝能汽车集团有限公司 | Landscape pushing method and system for vehicle, storage medium and server |
| CN114694199A (en) * | 2020-12-30 | 2022-07-01 | 上海博泰悦臻网络技术服务有限公司 | Media content recommendation method and device, vehicle-mounted terminal and storage medium |
| CN115905734A (en) * | 2022-11-08 | 2023-04-04 | 中国第一汽车股份有限公司 | Method and device for carrying out intelligent recommendation based on geographic position information |
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| WO2024098667A1 (en) * | 2022-11-08 | 2024-05-16 | 中国第一汽车股份有限公司 | Method and device for intelligent recommendation based on geographical location information |
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