WO2024098667A1 - 一种基于地理位置信息进行智能推荐的方法及装置 - Google Patents

一种基于地理位置信息进行智能推荐的方法及装置 Download PDF

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Publication number
WO2024098667A1
WO2024098667A1 PCT/CN2023/088910 CN2023088910W WO2024098667A1 WO 2024098667 A1 WO2024098667 A1 WO 2024098667A1 CN 2023088910 W CN2023088910 W CN 2023088910W WO 2024098667 A1 WO2024098667 A1 WO 2024098667A1
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Prior art keywords
user
geographic location
location information
status
item
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PCT/CN2023/088910
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English (en)
French (fr)
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唐敏
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中国第一汽车股份有限公司
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Publication of WO2024098667A1 publication Critical patent/WO2024098667A1/zh

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Classifications

    • 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
    • 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
    • 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
    • G06F16/9538—Presentation of query results

Definitions

  • the present application relates to the technical field of in-vehicle media file playback, and in particular to a method for performing intelligent recommendation based on geographic location information and a device for performing intelligent recommendation based on geographic location information.
  • the in-car intelligent system is the part where the car computer interacts with the user more frequently. Each user's behavior and operation are unique, and each user's needs and expectations are also unique. If the car computer system can generate unique and expected behavior recommendations based on different users, user status and geographical location, it will greatly enhance the user's in-car experience.
  • the current in-vehicle entertainment system mainly focuses on the entertainment part, adding applications such as video and music. However, it relies heavily on active input from users.
  • some services related to local life have also been added, such as food, drink, and entertainment.
  • food, drink, and entertainment in response to the life needs of drivers and passengers, some services related to local life have also been added, such as food, drink, and entertainment.
  • food, drink, and entertainment in response to the life needs of drivers and passengers, some services related to local life have also been added, such as food, drink, and entertainment.
  • what should be remembered should not only be food, drink, and entertainment, but also some additional memories, such as history, cultural landscapes, biographies, etc.
  • the existing recommendation system is not detailed and in-depth enough in terms of customized services for different users.
  • the purpose of the present invention is to provide a method for intelligent recommendation based on geographic location information to solve at least one of the above-mentioned technical problems.
  • One aspect of the present invention provides a method for intelligent recommendation based on geographic location information, which mainly includes:
  • the optimal recommended item is sent to the vehicle computer, and the vehicle computer displays it to the corresponding user.
  • the collecting of the user's geographical location information includes:
  • the user's geographic location information is collected in real time through the GPS of the vehicle-mounted tbox.
  • the collecting of status information of users in each seat includes:
  • the image status information of the users in each seat is collected through the camera, and/or the sound status information of the users in each seat is collected through the microphone.
  • the method for intelligent recommendation based on geographic location information further includes constructing and storing the user data, and constructing and storing the user data includes:
  • Each associated entry is stored.
  • the optimal recommended items that match the current geographical location and user status include:
  • the candidate recommendation items are sorted based on the user status, and the recommended item with the highest sorting is selected as the optimal recommendation item.
  • the plurality of recommended items matching the current geographical location include but are not limited to local historical information and local character information.
  • the optimal item recommendation is abandoned.
  • the step of sorting the candidate recommendation items based on the user status includes:
  • sending the best recommended item to the vehicle computer, and displaying the best recommended item to the corresponding user by the vehicle computer includes:
  • the optimal recommended item is sent to the user via a screen and a language output device associated with the cockpit location.
  • a device for intelligent recommendation based on geographic location information which mainly comprises:
  • a geographic location information collection module is used to collect the user's geographic location information in real time
  • a status information collection module is used to collect status information of users in each seat
  • a synchronization module is used to synchronize the current geographic location information of the vehicle with the user status of each user in the vehicle;
  • the optimal recommendation item matching module is used to match the optimal recommendation item suitable for the current geographical location and user status based on pre-stored user data, wherein the user data includes one or more users and multiple behaviors associated with each user;
  • the best recommended item display module is used to send the best recommended item to the vehicle computer, and the vehicle computer displays it to the corresponding user.
  • the geographic location information collection module includes:
  • the GPS unit of the vehicle-mounted tbox is used to collect the user's geographic location information in real time.
  • the status information collection module includes:
  • the camera is used to collect image status information of users in each seat, and/or the microphone is used to collect sound status information of users in each seat.
  • the device for intelligent recommendation based on geographic location information further includes a database construction module for constructing and storing the user data, and the database construction module includes:
  • a behavior data collection unit used to collect the user who logs into the vehicle system for the first time and their behavior data
  • a user portrait analysis unit used to perform a portrait analysis on the user based on the behavior data and determine the user status corresponding to each behavior of the user;
  • An associated item generating unit used for associating the user and the user's state and behavior to form a plurality of associated items, each of which includes a specific user and a plurality of behaviors and states of the specific user;
  • the data storage unit is used to store each associated entry.
  • the behavior data collection unit is used to include:
  • a candidate recommendation item generating unit configured to determine, based on the current geographical location, a plurality of candidate recommendation items matching the current geographical location
  • the item ranking unit is used to rank the candidate recommended items based on the user status and select the recommended item with the highest ranking as the optimal recommended item.
  • the plurality of recommended items matching the current geographical location include but are not limited to local historical information and local character information.
  • the optimal item recommendation is abandoned.
  • the item sorting unit comprises:
  • a first score calculation subunit used to determine a first score for each candidate recommended item according to a predetermined item score
  • a second score calculation subunit used to determine a second score corresponding to the user state according to a predetermined state score
  • the score sorting subunit is used to sort the multiple first scores according to the principle of minimizing the difference with the second score, and then sort the candidate recommendation items.
  • the best recommended item display module includes:
  • a user position determination unit used to determine the cockpit position of the user corresponding to the optimal recommended item
  • the output device calling unit is used to send the optimal recommended item to the user through the screen and language output device associated with the cockpit position.
  • an electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein when the processor executes the computer program, the method for intelligent recommendation based on geographic location information as described above is implemented.
  • a computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the method for intelligent recommendation based on geographic location information as described above can be implemented.
  • This application determines the correlation between the user's current status and the user's behavior by characterizing and analyzing the user's behavior. Then, during the operation of the vehicle computer, the geographic location information is combined with the user's current status information to screen out the recommended items that best match the user's current status at the current location and recommend them to the user, thereby improving the user's driving or riding experience.
  • This application can also recommend historical information and personal information under the current geographic location, which increases the depth of the onboard recommendation system and enhances the user experience.
  • FIG1 is a flow chart of a method for performing intelligent recommendation based on geographic 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 performing intelligent recommendation based on geographic location information according to an embodiment of the present application.
  • FIG1 is a flow chart of a method for performing intelligent recommendation based on geographic location information according to an embodiment of the present application.
  • the intelligent recommendation system combines the camera and microphone in the car to analyze the operations that the user may want to perform.
  • the self-service intelligent recommendation system not only processes user labels, but also conducts accurate user portrait analysis on users, and recommends operations that are more suitable for users based on the current user's real-time status, such as mood, fatigue level, etc.
  • the method for performing intelligent recommendation based on geographic location information as shown in FIG1 includes:
  • Step S1 Collecting user's geographic location information in real time
  • Step S2 Collect status information of users in each seat
  • Step S3 Synchronizing the current geographic location information of the vehicle and the user status of each user in the vehicle;
  • Step S4 matching the best recommended item suitable for the current geographical location and user status based on the pre-stored user data, wherein the user data includes one or more users and multiple behaviors associated with each user;
  • Step S5 Send the optimal recommended item to the vehicle computer, which displays it to the corresponding user.
  • This system collects and analyzes character information, combines it with the current geographic location information of the vehicle, and hopes to increase the interactive experience between the cabin system and passengers through intelligent system recommendations combined with the screen display and voice broadcast in the cockpit, and then matches the current geographic location.
  • explanations of Mingchuan mountains and classic historical scenes will be added to enhance the experience of self-driving tours.
  • This application determines the correlation between the user's current status and the user's behavior by characterizing and analyzing the user's behavior. Then, during the operation of the vehicle computer, the geographic location information is combined with the user's current status information to screen out the recommended items that best match the user's current status at the current location and recommend them to the user, thereby improving the user's driving or riding experience.
  • collecting the user's geographic location information includes:
  • the user's geographic location information is collected in real time through the GPS of the vehicle-mounted tbox.
  • Car tbox means Telematics-BOX, referred to as car-mounted T-box.
  • the car networking system consists of four parts: host, car T-box, mobile application and background system.
  • the host is mainly used for audio-visual entertainment and vehicle information display in the car;
  • the car T-box is mainly used to communicate with the background system/mobile application to realize the vehicle information display and control of the mobile application.
  • the TSP background After the user sends a control command through the mobile application, the TSP background will send a monitoring request command to the car T-box.
  • This function can help users remotely start the vehicle, turn on the air conditioner, adjust the seat to the appropriate position, etc.
  • the Global Positioning System is a component of the tbox. It is a high-precision radio navigation positioning system based on artificial satellites. It can provide accurate geographic location, vehicle speed and precise time information anywhere in the world and in near-Earth space. This embodiment can collect the user's geographic location information in real time through the GPS of the car-mounted tbox
  • collecting the status information of users in each seat includes:
  • the image status information of the users in each seat is collected through the camera, and/or the sound status information of the users in each seat is collected through the microphone.
  • the user status information is usually determined by the behavior data, and the behavior data is related to the user status.
  • the state relationship is stored in the server in advance. After the user logs in to the vehicle system, the system reads from the storage system of the server to determine whether there is a current user. If there is, the user behavior data is read; if not, the user-related information is recreated.
  • the corresponding user status may be, for example, fatigue, excitement, happiness, quietness, sleep, and other states.
  • the method for performing intelligent recommendation based on geographic location information further includes constructing and storing the user data, and constructing and storing the user data includes:
  • Each associated entry is stored.
  • the user behavior is singing, then after analyzing the user portrait, it is believed that the user state corresponding to this behavior is happy.
  • the user behavior is leaning on the seat and squinting, then after analyzing the user portrait, it is believed that the user state corresponding to this behavior is sleepy, etc.
  • each user has multiple behaviors, each behavior corresponds to a user state, and when storing, it is stored by user.
  • Each user table includes multiple records, and each record includes two columns: user behavior and state.
  • the matching of the optimal recommended items that are suitable for the current geographical location and the user status includes:
  • the candidate recommendation items are sorted based on the user status, and the recommended item with the highest sorting is selected as the optimal recommendation item.
  • the multiple recommended items matching the current geographic location include, but are not limited to, local historical information and local character information.
  • the optimal item recommendation is abandoned.
  • sorting the candidate recommendation items based on the user status includes:
  • the database first stores the first score of each recommendation item, such as 5 points for food recommendation, 9 points for humanities recommendation, 6 points for music recommendation, etc.
  • the corresponding database also stores the second score of each state, such as 8.9 points for quietness, 10 points for sleep, 7 points for excitement, 5.2 points for hunger, etc.
  • first score and the second score are both preset, and when the numerical value of the first score is comparable to the numerical value of the second score, it indicates a desired recommendation item in this state.
  • sending the best recommended item to the vehicle computer, and displaying it to the corresponding user by the vehicle computer includes:
  • the optimal recommended item is sent to the user via a screen and a language output device associated with the cockpit location.
  • the optimal recommended items of the present application are different for different users. After respectively obtaining the status of the users at various positions in the cockpit, the system gives the optimal recommended items for the corresponding users, and then sends the content of the optimal recommended items to the display screen and headphones/speakers in front of the user, so as to realize the display of the optimal recommended items.
  • a device for performing intelligent recommendation based on geographic location information corresponding to the above method mainly comprising:
  • a geographic location information collection module is used to collect the user's geographic location information in real time
  • a status information collection module is used to collect status information of users in each seat
  • a synchronization module is used to synchronize the current geographic location information of the vehicle with the user status of each user in the vehicle;
  • the optimal recommendation item matching module is used to match the optimal recommendation item suitable for the current geographical location and user status based on pre-stored user data, wherein the user data includes one or more users and multiple behaviors associated with each user;
  • the best recommended item display module is used to send the best recommended item to the vehicle computer, and the vehicle computer displays it to the corresponding user.
  • the geographic location information collection module includes:
  • the GPS unit of the vehicle-mounted tbox is used to collect the user's geographic location information in real time.
  • the status information collection module includes:
  • the camera is used to collect image status information of users in each seat, and/or the microphone is used to collect sound status information of users in each seat.
  • the device for intelligent recommendation based on geographic location information further includes a database construction module for constructing and storing the user data, and the database construction module includes:
  • a behavior data collection unit used to collect the user who logs into the vehicle system for the first time and their behavior data
  • a user portrait analysis unit used to perform a portrait analysis on the user based on the behavior data and determine the user status corresponding to each behavior of the user;
  • the associated item generation unit is used to associate the user and the user's status with the behavior to form multiple association entries, each of which includes a specific user and multiple behaviors and states of the specific user;
  • the data storage unit is used to store each associated entry.
  • the behavior data collection unit is configured to include:
  • a candidate recommendation item generating unit configured to determine, based on the current geographical location, a plurality of candidate recommendation items matching the current geographical location
  • the item ranking unit is used to rank the candidate recommended items based on the user status and select the recommended item with the highest ranking as the optimal recommended item.
  • the multiple recommended items matching the current geographic location include, but are not limited to, local historical information and local character information.
  • the optimal item recommendation is abandoned.
  • the project sorting unit includes:
  • a first score calculation subunit used to determine a first score for each candidate recommended item according to a predetermined item score
  • a second score calculation subunit used to determine a second score corresponding to the user state according to a predetermined state score
  • the score sorting subunit is used to sort the multiple first scores according to the principle of minimizing the difference with the second score, and then sort the candidate recommendation items.
  • the optimal recommended item display module includes:
  • a user position determination unit used to determine the cockpit position of the user corresponding to the optimal recommended item
  • the output device calling unit is used to send the optimal recommended item to the user through the screen and language output device associated with the cockpit position.
  • the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor.
  • the processor executes the computer program, the method for intelligent recommendation based on geographic location information as described above is implemented.
  • the present application also provides a computer-readable storage medium, which stores a computer program.
  • the computer program When executed by a processor, it can implement the above method for intelligent recommendation based on geographic location information.
  • FIG. 2 is an exemplary structural diagram of an electronic device capable of implementing a method for intelligent recommendation based on geographic location information provided according to an embodiment of the present application.
  • the electronic device includes an input device 501, an input interface 502, a central processing unit 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 interconnected via a bus 507.
  • the input device 501 and the output device 506 are connected to the bus 507 via the input interface 502 and the output interface 505, respectively, and then connected to other components of the electronic device.
  • the input device 504 receives input information from the outside and transmits the input information to the central processing unit 503 via the input interface 502; the central processing unit 503 processes the input information based on the computer executable instructions stored in the memory 504.
  • the output information is generated by processing, the output information is temporarily or permanently stored in the memory 504, and then the output information is transmitted 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 the user to use.
  • the electronic device shown in Figure 2 can also be implemented to include: a memory storing computer-executable instructions; and one or more processors, which, when executing the computer-executable instructions, can implement the method for intelligent recommendation based on geographic location information described in combination with Figure 1.
  • the electronic device shown in Figure 2 can be implemented to include: a memory 504, configured to store executable program code; one or more processors 503, configured to run the executable program code stored in the memory 504 to execute the method for intelligent recommendation based on geographic location information in the above embodiment.
  • a computing device includes one or more processors (CPU), input/output interfaces, network interfaces, and memory.
  • processors CPU
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • Memory may include non-permanent storage in a computer-readable medium, in the form of 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.
  • RAM random access memory
  • ROM read-only memory
  • flash RAM flash memory
  • Computer readable media include permanent and non-permanent, removable and non-removable, and the media can be implemented by any method or technology to store information.
  • the information can be computer readable instructions, data structures, program modules 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, read-only compact disk read-only memory (CD-ROM), data versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.
  • PRAM phase change memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • RAM random access memory
  • ROM read-only memory
  • EEPROM electrically erasable programmable read-only memory
  • the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.
  • a computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • each box in the flowchart or block diagram may represent a module, a program segment, or a portion of code, and the module, program segment, or a portion of code includes one or more executable instructions for implementing the specified logical functions.
  • the functions marked in the boxes may also occur in an order different from that marked in the accompanying drawings. For example, two boxes marked in succession may actually be The above steps are executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved.
  • each block in the block diagram and/or flow chart, and the combination of blocks in the block diagram and/or the overall flow chart can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.
  • the processor referred to in this embodiment may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • a general-purpose processor may be a microprocessor or any conventional processor, etc.
  • the memory can be used to store computer programs and/or modules.
  • the processor realizes various functions of the device/terminal equipment by running or executing the computer programs and/or modules stored in the memory and calling the data stored in the memory.
  • the memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc.
  • the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.
  • a non-volatile memory such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.
  • a non-volatile memory such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (
  • the module/unit integrated in the device/terminal equipment can be stored in a computer-readable storage medium.
  • the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program.
  • the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented.
  • the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form.
  • the computer-readable medium may include: any entity or device that can carry computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • electric carrier signal telecommunication signal and software distribution medium.
  • the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a method, a system or a computer program product. The form of a computer program product implemented on a computer-usable storage medium (including but not limited to disk storage, CD-ROM, optical storage, etc.) with computer-usable program code.
  • a computer-usable storage medium including but not limited to disk storage, CD-ROM, optical storage, etc.

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Abstract

本申请公开了一种基于地理位置信息进行智能推荐的方法及装置。所述基于地理位置信息进行智能推荐的方法包括：实时收集用户的地理位置信息；收集各个座位上用户的状态信息；同步车辆当前的地理位置信息与车内各用户的用户状态；基于预存储的用户数据，匹配与当前地理位置及用户状态相适应的最优推荐项目，其中，所述用户数据包括了一个或多个用户及与每个用户关联的多种行为；将所述最优推荐项目发送至车机，由车机展示给对应用户。本申请通过地理位置信息与用户当前状态信息进行结合，筛选出当前位置下的与用户当前状态最匹配的推荐项目，并将其推荐给用户，提高了用户驾驶或乘坐体验。

Description

一种基于地理位置信息进行智能推荐的方法及装置 技术领域
本申请涉及车载媒体文件播放技术领域，具体涉及一种基于地理位置信息进行智能推荐的方法以及基于地理位置信息进行智能推荐的装置。
背景技术
随着汽车车辆使用的普及，开车进行长短途旅行已经成为较为普遍的节假日休闲方式。车载多媒体音视频可以满足旅行用户在闲暇时间追剧，学习，会议等一系列需求。
车内智能系统是车机与用户交互比较频繁的部分，而每个用户的行为操作都是独一无二的，每个用户的需求和期待也是独一无二的。如果车机系统能根据不同的用户和用户状态以及地理位置而产生独特而符合期待的行为推荐，则会为用户大大增加车内的体验。
现有技术中，当前车载娱乐系统主要侧重于娱乐部分，增加了视频、音乐等应用。但是严重依赖用户主动输入。另一方面，针对驾驶和乘坐人员的生活需求，也增加了关于本地生活的一些服务，比如吃喝玩乐等相关服务。但是驾驶路程中，被记住的不应该只有吃喝玩乐，还可以增加一些额外的记忆，比如历史、人文景观、人物传记等等。再者，现有的推荐系统针对不同用户的定制化服务不够细致和深入。
现有的机车智能推荐系统存在上述问题的原因主要包括：1、系统会首先采集用户的最优先的需求，当前视频和音乐等应用也是最占用时间的需求。2、针对本地生活的服务已经有了现成的模式，借用起来比较方便。3、定制化的深入服务需要很长时间的投入，对系统的要求也是非常的高。
因此，希望有一种技术方案来解决或至少减轻现有技术的上述不足。
发明内容
本发明的目的在于提供一种基于地理位置信息进行智能推荐的方法来至少解决上述的一个技术问题。
本发明的一个方面，提供一种基于地理位置信息进行智能推荐的方法，主要包括：
实时收集用户的地理位置信息；
收集各个座位上用户的状态信息；
同步车辆当前的地理位置信息与车内各用户的用户状态；
基于预存储的用户数据，匹配与当前地理位置及用户状态相适应的最优推荐项目，其中，所述用户数据包括了一个或多个用户及与每个用户关联的多种行为；
将所述最优推荐项目发送至车机，由车机展示给对应用户。
优选的是，所述收集用户的地理位置信息包括：
通过车载tbox的gps实时收集用户的地理位置信息。
优选的是，所述收集各个座位上用户的状态信息包括：
通过摄像头收集各个座位上用户的图像状态信息，和/或通过麦克风收集各个座位上用户的声音状态信息。
优选的是，所述基于地理位置信息进行智能推荐的方法还包括构建并存储所述用户数据，构建并存储所述用户数据包括：
收集首次登陆车机系统的用户及其行为数据；
基于行为数据对用户进行画像分析，确定用户的各行为所对应的用户状态；
将用户及用户的状态与行为进行关联，形成多个关联条目，每个关联条目包括特定用户及该特定用户的多种行为与状态；
将各关联条目进行存储。
优选的是，所述匹配与当前地理位置及用户状态相适应的最优推荐项目包括：
基于当前地理位置确定与当前地理位置匹配的多个备选推荐项目；
基于用户状态将备选推荐项目进行排序，选择排序最前的推荐项目作为最优推荐项目。
优选的是，所述与当前地理位置匹配的多个推荐项目包括但不限于当地历史信息及当地人物信息。
优选的是，若所述用户状态为入睡状态，则放弃本次最优项目推荐。
优选的是，所述基于用户状态将备选推荐项目进行排序包括：
按预定的项目分值确定各备选推荐项目的第一分值；
按预定的状态分值确定用户状态所对应的第二分值；
按照与所述第二分值差值最小的原则，排序多个第一分值，进而将各备选推荐项目进行排序。
优选的是，将所述最优推荐项目发送至车机，由车机展示给对应用户包括：
确定该最优推荐项目所对应的用户所在的驾驶舱位置；
通过与该驾驶舱位置关联的屏幕及语言输出设备将所述最优推荐项目发送给该用户。
本发明第二方面，提供一种基于地理位置信息进行智能推荐的装置，主要包括：
地理位置信息收集模块，用于实时收集用户的地理位置信息；
状态信息收集模块，用于收集各个座位上用户的状态信息；
同步模块，用于同步车辆当前的地理位置信息与车内各用户的用户状态；
最优推荐项目匹配模块，用于基于预存储的用户数据，匹配与当前地理位置及用户状态相适应的最优推荐项目，其中，所述用户数据包括了一个或多个用户及与每个用户关联的多种行为；
最优推荐项目展示模块，用于将所述最优推荐项目发送至车机，由车机展示给对应用户。
优选的是，所述地理位置信息收集模块包括：
车载tbox的gps单元，用于实时收集用户的地理位置信息。
优选的是，所述状态信息收集模块包括：
摄像头，用于收集各个座位上用户的图像状态信息，和/或麦克风，用于收集各个座位上用户的声音状态信息。
优选的是，所述基于地理位置信息进行智能推荐的装置还包括数据库构建模块，用于构建并存储所述用户数据，所述数据库构建模块包括：
行为数据收集单元，用于收集首次登陆车机系统的用户及其行为数据；
用户画像分析单元，用于基于行为数据对用户进行画像分析，确定用户的各行为所对应的用户状态；
关联条目生成单元，用于将用户及用户的状态与行为进行关联，形成多个关联条目，每个关联条目包括特定用户及该特定用户的多种行为与状态；
数据存储单元，用于将各关联条目进行存储。
优选的是，所述行为数据收集单元，用于包括：
备选推荐项目生成单元，用于基于当前地理位置确定与当前地理位置匹配的多个备选推荐项目；
项目排序单元，用于基于用户状态将备选推荐项目进行排序，选择排序最前的推荐项目作为最优推荐项目。
优选的是，所述与当前地理位置匹配的多个推荐项目包括但不限于当地历史信息及当地人物信息。
优选的是，若所述用户状态为入睡状态，则放弃本次最优项目推荐。
优选的是，所述项目排序单元包括：
第一分值计算子单元，用于按预定的项目分值确定各备选推荐项目的第一分值；
第二分值计算子单元，用于按预定的状态分值确定用户状态所对应的第二分值；
分值排序子单元，用于按照与所述第二分值差值最小的原则，排序多个第一分值，进而将各备选推荐项目进行排序。
优选的是，所述最优推荐项目展示模块包括：
用户位置确定单元，用于确定该最优推荐项目所对应的用户所在的驾驶舱位置；
输出设备调用单元，用于通过与该驾驶舱位置关联的屏幕及语言输出设备将所述最优推荐项目发送给该用户。
本发明第三方面，提供了一种电子设备，包括存储器、处理器以及存储在存储器中并能够在处理器上运行的计算机程序，处理器执行计算机程序时实现如上的基于地理位置信息进行智能推荐的方法。
本申请第四方面，提供了一种计算机可读存储介质，计算机可读存储介 质存储有计算机程序，计算机程序被处理器执行时能够实现如上的基于地理位置信息进行智能推荐的方法。
有益效果：
本申请通过对用户行为的刻画分析，确定用户当前状态与用户行为的关联关系，之后在车机运行过程中，通过地理位置信息与用户当前状态信息进行结合，筛选出当前位置下的与用户当前状态最匹配的推荐项目，并将其推荐给用户，提高了用户驾驶或乘坐体验。
本申请还能够推荐当前地理位置下的历史信息及人物信息，增加了机载推荐系统的厚重感，增强了用户体验。
附图说明
图1是本申请一实施例的基于地理位置信息进行智能推荐的方法的流程图。
图2是能够实现本申请一实施例的基于地理位置信息进行智能推荐的方法的电子设备的示意图。
具体实施方式
为使本申请实施的目的、技术方案和优点更加清楚，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行更加详细的描述。在附图中，自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。所描述的实施例是本申请一部分实施例，而不是全部的实施例。下面通过参考附图描述的实施例是示例性的，旨在用于解释本申请，而不能理解为对本申请的限制。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。下面结合附图对本申请的实施例进行详细说明。
图1是本申请一实施例的基于地理位置信息进行智能推荐的方法的流程示意图。
本申请所要解决的问题主要包括以下几个方面：
1、可尽量减少和简化用户的主动输入，智能推荐系统结合车内的摄像头和麦克风，分析出用户可能要执行的操作。
2、相对于已经比较普遍的本地生活等服务，新增了与地理位置相关联的历史、文化、名人等相关功能，增加了额外的文化普及和历史推广。亦可增 加人物和地理环境相关联的印象。
3、自助的智能推荐系统，不仅仅对用户进行标签话处理，还会对用户进行精准的用户画像分析，并结合当前用户的实时状态，比如心情、疲惫程度等，推荐更适合用户的操作。
如图1所示的基于地理位置信息进行智能推荐的方法包括：
步骤S1：实时收集用户的地理位置信息；
步骤S2：收集各个座位上用户的状态信息；
步骤S3：同步车辆当前的地理位置信息与车内各用户的用户状态；
步骤S4：基于预存储的用户数据，匹配与当前地理位置及用户状态相适应的最优推荐项目，其中，所述用户数据包括了一个或多个用户及与每个用户关联的多种行为；
步骤S5：将所述最优推荐项目发送至车机，由车机展示给对应用户。
本系统通过对人物信息的收集与分析，再结合当前车机的地理位置信息，希望通过智能系统推荐结合座舱内的屏幕显示和语音播报，再匹配当前地理位置，增加座舱系统主动和乘坐人员交互体验。一方面是对自己生活的城市能更深入的了解，比如某条街的命名依据、某个历史人物的曾经居住地、自己偶像的出生地等等，都会增加这一路上的期待和回忆。另一方面，针对长途旅程，会增加对明川大山和经典历史情景的讲解，增加自驾游的体验。
本申请通过对用户行为的刻画分析，确定用户当前状态与用户行为的关联关系，之后在车机运行过程中，通过地理位置信息与用户当前状态信息进行结合，筛选出当前位置下的与用户当前状态最匹配的推荐项目，并将其推荐给用户，提高了用户驾驶或乘坐体验。
在一些可选实施方式中，所述收集用户的地理位置信息包括：
通过车载tbox的gps实时收集用户的地理位置信息。
汽车tbox的意思是Telematics-BOX，简称车载T-box，车联网系统由主机、汽车T-box、移动应用和后台系统四部分组成。主机主要用于车内的视听娱乐和车辆信息显示；汽车T-box主要用于与后台系统/移动应用进行通信，实现对移动应用的车辆信息显示和控制。用户通过移动应用发送控制命令后，TSP后台会向汽车T-box发送监控请求命令，此功能可以帮助用户远程启动车辆、打开空调、将座椅调整到适当位置等。全球定位系统(Global Positioning System，GPS)是tbox的组成部分，是一种以人造地球卫星为基础的高精度无线电导航的定位系统，它在全球任何地方以及近地空间都能够提供准确的地理位置、车行速度及精确的时间信息。本实施例通过车载tbox的gps能够实时收集用户的地理位置信息。
在一些可选实施方式中，所述收集各个座位上用户的状态信息包括：
通过摄像头收集各个座位上用户的图像状态信息，和/或通过麦克风收集各个座位上用户的声音状态信息。
该实施例中，用户状态信息通常有行为数据决定，而行为数据与用户状 态的关系事先存储在服务器上，用户登录车机系统后，系统从服务器的存储系统中读取，判断是否有当前用户，有则读取用户行为数据，没有则重新创建用户相关信息。
可以理解的是，通过摄像头及麦克风识别或监听到用户行为时，对应的用户状态例如可以是疲劳、兴奋、心情愉悦、安静、睡眠等多种状态。
在一些可选实施方式中，所述基于地理位置信息进行智能推荐的方法还包括构建并存储所述用户数据，构建并存储所述用户数据包括：
收集首次登陆车机系统的用户及其行为数据；
基于行为数据对用户进行画像分析，确定用户的各行为所对应的用户状态；
将用户及用户的状态与行为进行关联，形成多个关联条目，每个关联条目包括特定用户及该特定用户的多种行为与状态；
将各关联条目进行存储。
例如用户行为为唱歌，则对用户画像分析后，认为这种行为对应的用户状态为高兴，再例如用户行为为依靠在座位上眯眼，则对用户画像分析后，认为这种行为对应的用户状态为乏困等。
该实施例中，每一个用户都具有多种行为，每一种行为对应于一个用户状态，在进行存储时，按用户存储，每个用户表中包括多个记录，每个记录包括用户行为及状态两列。
在一些可选实施方式中，所述匹配与当前地理位置及用户状态相适应的最优推荐项目包括：
基于当前地理位置确定与当前地理位置匹配的多个备选推荐项目；
基于用户状态将备选推荐项目进行排序，选择排序最前的推荐项目作为最优推荐项目。
在一些可选实施方式中，所述与当前地理位置匹配的多个推荐项目包括但不限于当地历史信息及当地人物信息。
在该实例中，比如一家三口出去旅行的时候，丈夫在开车中，妻子做在副驾驶，孩子做在后排。这个时候，路过了一个地方，这个地方正好是某个名人的故居，也正好是妻子的偶像，则系统经过计算后，会同步给副驾屏幕和后排屏幕推荐这位名人的简介。
在一些可选实施方式中，若所述用户状态为入睡状态，则放弃本次最优项目推荐。
在一些可选实施方式中，所述基于用户状态将备选推荐项目进行排序包括：
按预定的项目分值确定各备选推荐项目的第一分值；
按预定的状态分值确定用户状态所对应的第二分值；
按照与所述第二分值差值最小的原则，排序多个第一分值，进而将各备选推荐项目进行排序。
该实施例中，数据库中首选存储了各推荐项目的第一分值，例如美食推荐为5分，人文推荐为9分，音乐推荐为6分等。对应的数据库中还存储了各状态的第二分值，例如安静对应的第二分值为8.9分，睡眠对应的第二分值为10分，兴奋对应的第二分值为7分，饥饿对应的分值为5.2分等等。
可以理解的是，上述第一分值及第二分值都是预先设定好的，并且第一分值的数值大小与第二分值的数值大小相当时，表示在这种状态下期望的推荐项目。
在一些可选实施方式中，将所述最优推荐项目发送至车机，由车机展示给对应用户包括：
确定该最优推荐项目所对应的用户所在的驾驶舱位置；
通过与该驾驶舱位置关联的屏幕及语言输出设备将所述最优推荐项目发送给该用户。
可以理解的是，本申请的最优推荐项目，对于不同用户是不一样的，系统在分别获取到驾驶舱内的各个位置处的用户的状态后，给出对应用户的最优推荐项目，之后将最优推荐项目内容发送到该用户前方的显示屏及耳机/喇叭等，实现最优推荐项目的展示。
本发明第二方面，提供一种与上述方法对应的基于地理位置信息进行智能推荐的装置，主要包括：
地理位置信息收集模块，用于实时收集用户的地理位置信息；
状态信息收集模块，用于收集各个座位上用户的状态信息；
同步模块，用于同步车辆当前的地理位置信息与车内各用户的用户状态；
最优推荐项目匹配模块，用于基于预存储的用户数据，匹配与当前地理位置及用户状态相适应的最优推荐项目，其中，所述用户数据包括了一个或多个用户及与每个用户关联的多种行为；
最优推荐项目展示模块，用于将所述最优推荐项目发送至车机，由车机展示给对应用户。
在一些可选实施方式中，所述地理位置信息收集模块包括：
车载tbox的gps单元，用于实时收集用户的地理位置信息。
在一些可选实施方式中，所述状态信息收集模块包括：
摄像头，用于收集各个座位上用户的图像状态信息，和/或麦克风，用于收集各个座位上用户的声音状态信息。
在一些可选实施方式中，所述基于地理位置信息进行智能推荐的装置还包括数据库构建模块，用于构建并存储所述用户数据，所述数据库构建模块包括：
行为数据收集单元，用于收集首次登陆车机系统的用户及其行为数据；
用户画像分析单元，用于基于行为数据对用户进行画像分析，确定用户的各行为所对应的用户状态；
关联条目生成单元，用于将用户及用户的状态与行为进行关联，形成多 个关联条目，每个关联条目包括特定用户及该特定用户的多种行为与状态；
数据存储单元，用于将各关联条目进行存储。
在一些可选实施方式中，所述行为数据收集单元，用于包括：
备选推荐项目生成单元，用于基于当前地理位置确定与当前地理位置匹配的多个备选推荐项目；
项目排序单元，用于基于用户状态将备选推荐项目进行排序，选择排序最前的推荐项目作为最优推荐项目。
在一些可选实施方式中，所述与当前地理位置匹配的多个推荐项目包括但不限于当地历史信息及当地人物信息。
在一些可选实施方式中，若所述用户状态为入睡状态，则放弃本次最优项目推荐。
在一些可选实施方式中，所述项目排序单元包括：
第一分值计算子单元，用于按预定的项目分值确定各备选推荐项目的第一分值；
第二分值计算子单元，用于按预定的状态分值确定用户状态所对应的第二分值；
分值排序子单元，用于按照与所述第二分值差值最小的原则，排序多个第一分值，进而将各备选推荐项目进行排序。
在一些可选实施方式中，所述最优推荐项目展示模块包括：
用户位置确定单元，用于确定该最优推荐项目所对应的用户所在的驾驶舱位置；
输出设备调用单元，用于通过与该驾驶舱位置关联的屏幕及语言输出设备将所述最优推荐项目发送给该用户。
本申请还提供了一种电子设备，包括存储器、处理器以及存储在存储器中并能够在处理器上运行的计算机程序，处理器执行计算机程序时实现如上的基于地理位置信息进行智能推荐的方法。
本申请还提供了一种计算机可读存储介质，计算机可读存储介质存储有计算机程序，计算机程序被处理器执行时能够实现如上的基于地理位置信息进行智能推荐的方法。
图2是能够实现根据本申请一个实施例提供的基于地理位置信息进行智能推荐的方法的电子设备的示例性结构图。
如图2所示，电子设备包括输入设备501、输入接口502、中央处理器503、存储器504、输出接口505以及输出设备506。其中，输入接口502、中央处理器503、存储器504以及输出接口505通过总线507相互连接，输入设备501和输出设备506分别通过输入接口502和输出接口505与总线507连接，进而与电子设备的其他组件连接。具体地，输入设备504接收来自外部的输入信息，并通过输入接口502将输入信息传送到中央处理器503；中央处理器503基于存储器504中存储的计算机可执行指令对输入信息进行处 理以生成输出信息，将输出信息临时或者永久地存储在存储器504中，然后通过输出接口505将输出信息传送到输出设备506；输出设备506将输出信息输出到电子设备的外部供用户使用。
也就是说，图2所示的电子设备也可以被实现为包括：存储有计算机可执行指令的存储器；以及一个或多个处理器，该一个或多个处理器在执行计算机可执行指令时可以实现结合图1描述的基于地理位置信息进行智能推荐的方法。
在一个实施例中，图2所示的电子设备可以被实现为包括：存储器504，被配置为存储可执行程序代码；一个或多个处理器503，被配置为运行存储器504中存储的可执行程序代码，以执行上述实施例中的基于地理位置信息进行智能推荐的方法。
在一个典型的配置中，计算设备包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动，媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数据多功能光盘(DVD)或其他光学存储、磁盒式磁带、磁带磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。
本领域技术人员应明白，本申请的实施例可提供为方法、系统或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
此外，显然“包括”一词不排除其他单元或步骤。装置权利要求中陈述的多个单元、模块或装置也可以由一个单元或总装置通过软件或硬件来实现。
附图中的流程图和框图，图示了按照本申请各种实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分，模块、程序段、或代码的一部分包括一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意，在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地标识的方框实际上可以 基本并行地执行，他们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或总流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
在本实施例中所称处理器可以是中央处理单元(Central Processing Unit，CPU)，还可以是其他通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列(Field-Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
存储器可用于存储计算机程序和/或模块，处理器通过运行或执行存储在存储器内的计算机程序和/或模块，以及调用存储在存储器内的数据，实现装置/终端设备的各种功能。存储器可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序(比如声音播放功能、图像播放功能等)等；存储数据区可存储根据手机的使用所创建的数据(比如音频数据、电话本等)等。此外，存储器可以包括高速随机存取存储器，还可以包括非易失性存储器，例如硬盘、内存、插接式硬盘，智能存储卡(Smart Media Card,SMC)，安全数字(Secure Digital,SD)卡，闪存卡(Flash Card)、至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
在本实施例中，装置/终端设备集成的模块/单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明实现上述实施例方法中的全部或部分流程，也可以通过计算机程序来指令相关的硬件来完成，的计算机程序可存储于一计算机可读存储介质中，该计算机程序在被处理器执行时，可实现上述各个方法实施例的步骤。其中，计算机程序包括计算机程序代码，计算机程序代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。计算机可读介质可以包括：能够携带计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、电载波信号、电信信号以及软件分发介质等。需要说明的是，计算机可读介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减。本申请虽然以较佳实施例公开如上，但其实并不是用来限定本申请，任何本领域技术人员在不脱离本申请的精神和范围内，都可以做出可能的变动和修改，因此，本申请的保护范围应当以本申请权利要求所界定的范围为准。
本领域技术人员应明白，本申请的实施例可提供为方法、系统或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含 有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
此外，显然“包括”一词不排除其他单元或步骤。装置权利要求中陈述的多个单元、模块或装置也可以由一个单元或总装置通过软件或硬件来实现。
虽然，上文中已经用一般性说明及具体实施方案对本发明作了详尽的描述，但在本发明基础上，可以对之作一些修改或改进，这对本领域技术人员而言是显而易见的。因此，在不偏离本发明精神的基础上所做的这些修改或改进，均属于本发明要求保护的范围。

Claims (10)

  1. 一种基于地理位置信息进行智能推荐的方法，其特征在于，包括：
    实时收集用户的地理位置信息；
    收集各个座位上用户的状态信息；
    同步车辆当前的地理位置信息与车内各用户的用户状态；
    基于预存储的用户数据，匹配与当前地理位置及用户状态相适应的最优推荐项目，其中，所述用户数据包括了一个或多个用户及与每个用户关联的多种行为；
    将所述最优推荐项目发送至车机，由车机展示给对应用户。
  2. 如权利要求1所述的基于地理位置信息进行智能推荐的方法，其特征在于，所述收集用户的地理位置信息包括：
    通过车载tbox的gps实时收集用户的地理位置信息。
  3. 如权利要求1所述的基于地理位置信息进行智能推荐的方法，其特征在于，所述收集各个座位上用户的状态信息包括：
    通过摄像头收集各个座位上用户的图像状态信息，和/或通过麦克风收集各个座位上用户的声音状态信息。
  4. 如权利要求1所述的基于地理位置信息进行智能推荐的方法，其特征在于，所述基于地理位置信息进行智能推荐的方法还包括构建并存储所述用户数据，构建并存储所述用户数据包括：
    收集首次登陆车机系统的用户及其行为数据；
    基于行为数据对用户进行画像分析，确定用户的各行为所对应的用户状态；
    将用户及用户的状态与行为进行关联，形成多个关联条目，每个关联条目包括特定用户及该特定用户的多种行为与状态；
    将各关联条目进行存储。
  5. 如权利要求1所述的基于地理位置信息进行智能推荐的方法，其特征在于，所述匹配与当前地理位置及用户状态相适应的最优推荐项目包括：
    基于当前地理位置确定与当前地理位置匹配的多个备选推荐项目；
    基于用户状态将备选推荐项目进行排序，选择排序最前的推荐项目作为最优推荐项目。
  6. 如权利要求5所述的基于地理位置信息进行智能推荐的方法，其特征在于，所述与当前地理位置匹配的多个推荐项目包括但不限于当地历史信息及当地人物信息。
  7. 如权利要求5所述的基于地理位置信息进行智能推荐的方法，其特征在于，若所述用户状态为入睡状态，则放弃本次最优项目推荐。
  8. 如权利要求5所述的基于地理位置信息进行智能推荐的方法，其特征在于，所述基于用户状态将备选推荐项目进行排序包括：
    按预定的项目分值确定各备选推荐项目的第一分值；
    按预定的状态分值确定用户状态所对应的第二分值；
    按照与所述第二分值差值最小的原则，排序多个第一分值，进而将各备选推荐项目进行排序。
  9. 如权利要求1所述的基于地理位置信息进行智能推荐的方法，其特征在于，将所述最优推荐项目发送至车机，由车机展示给对应用户包括：
    确定该最优推荐项目所对应的用户所在的驾驶舱位置；
    通过与该驾驶舱位置关联的屏幕及语言输出设备将所述最优推荐项目发送给该用户。
  10. 一种基于地理位置信息进行智能推荐的装置，其特征在于，包括：
    地理位置信息收集模块，用于实时收集用户的地理位置信息；
    状态信息收集模块，用于收集各个座位上用户的状态信息；
    同步模块，用于同步车辆当前的地理位置信息与车内各用户的用户状态；
    最优推荐项目匹配模块，用于基于预存储的用户数据，匹配与当前地理位置及用户状态相适应的最优推荐项目，其中，所述用户数据包括了一个或多个用户及与每个用户关联的多种行为；
    最优推荐项目展示模块，用于将所述最优推荐项目发送至车机，由车机展示给对应用户。
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