JP2015185160A - Information processing device, program, information processing system, and information processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device, a program, an information processing system, and an information processing method that can recommend an appropriate product or service to a user by determining recommendation information on the basis of vehicle information and user information.SOLUTION: An information processing device 3 processes recommendation information indicating a product or service recommended to a user related to a vehicle, and comprises: an identifying unit for identifying vehicle information on the vehicle; a user identifying unit for identifying user information indicating information on the user on the basis of the vehicle information identified by the identifying unit; an information identifying unit for identifying the recommendation information on the basis of the user information identified by the user identifying unit and the vehicle information identified by the identifying unit; and a transmitting unit for transmitting the recommendation information identified by the information identifying unit to a communication device 4 corresponding to the vehicle information identified by the identifying unit as the communication device 4 connected via a communication network is associated with the vehicle information.

Description

  The present invention relates to an information processing apparatus, a program, an information processing system, and an information processing method for providing information related to goods or services based on vehicle information related to vehicles.

  2. Description of the Related Art Conventionally, an information processing system that acquires user information about a user from vehicle information and outputs recommended information such as a product or service recommended to the user based on the acquired user information to a mobile terminal device is known.

  For example, Patent Literature 1 discloses a technique for acquiring user information such as a purchase history or a visit date from vehicle information and outputting recommended information based on the acquired user information.

JP 2008-97606 A

  However, since the conventional technology does not output the recommended information based on the vehicle information, there has been a problem that an appropriate product or service could not be recommended to the user.

  In one aspect, an information processing device, a program, an information processing system, and an information processing method that can recommend an appropriate product or service to a user by specifying recommended information based on vehicle information and user information are provided. There is.

  An information processing apparatus according to one aspect includes a specifying unit that specifies vehicle information related to the vehicle, and a vehicle specified by the specifying unit in an information processing apparatus that processes recommended information indicating a product or service recommended to a user related to the vehicle. A user specifying unit for specifying user information indicating information on the user based on the information; user information specified by the user specifying unit; and the recommended information based on the vehicle information specified by the specifying unit. The information specifying unit to be specified, the communication device connected via the communication network, and the vehicle information are associated with each other, and the recommended information specified by the information specifying unit corresponds to the vehicle information specified by the specifying unit. And a transmission unit for transmitting to the communication device.

  An information processing apparatus according to an aspect includes a number information specifying unit that specifies license plate information of the vehicle, wherein the specifying unit specifies the vehicle information based on the number plate information specified by the number information specifying unit. It is characterized by that.

  An information processing apparatus according to an aspect includes a barcode acquisition unit that acquires a two-dimensional barcode described in a vehicle inspection certificate of the vehicle, and a vehicle inspection related to vehicle inspection based on the two-dimensional barcode acquired by the barcode acquisition unit. A vehicle inspection information specifying unit for acquiring information, wherein the specifying unit specifies the vehicle information based on the vehicle inspection information acquired by the vehicle inspection information specifying unit.

  An information processing apparatus according to an aspect includes a purchase information acquisition unit that acquires purchase information indicating information on purchasing a product or service recommended by the recommended information.

  An information processing apparatus according to an aspect includes a price specifying unit that specifies a price of the vehicle, and a classification unit that classifies the vehicle information based on a price of the vehicle specified by the price specifying unit, wherein the information specifying unit includes: The recommended information is specified based on the vehicle information classified by the classification unit.

  The information processing apparatus according to one aspect includes store information related to a store and a grade, and includes a store information acquisition unit that acquires the store information, and the information specifying unit acquires the store acquired by the store information acquisition unit. The recommended information is specified based on the grade corresponding to the information.

  The program according to one aspect is a program that is executed by an information processing apparatus that processes recommended information indicating a product or service recommended to a user related to a vehicle, specifies vehicle information related to the vehicle, and is based on the specified vehicle information. User information indicating information related to the user is specified, and the information processing apparatus is caused to execute processing for specifying the recommended information based on the specified vehicle information and user information.

  In one aspect of the program, the recommended information is associated with a store, the information terminal of the store is associated with an IP address, the store associated with the identified recommended information is identified, and the identified store And a message is produced | generated based on user information, It matches with the information terminal of the specified shop, and specifies the IP address which shows the output destination which outputs the produced | generated message.

  An information processing system according to one aspect includes an information processing apparatus that processes recommended information indicating a product or service recommended for a user of a vehicle, and a communication apparatus connected to the information processing apparatus via a communication network. The information processing apparatus includes: a specifying unit that specifies vehicle information related to the vehicle; and a user specifying that acquires user information indicating information related to the user related to the vehicle based on the vehicle information specified by the specifying unit An information specifying unit that specifies the recommended information based on the vehicle information specified by the specifying unit and the user information specified by the user specifying unit, the communication device, and the vehicle information. A transmitting unit that transmits the recommended information specified by the information specifying unit to a communication device corresponding to the vehicle information specified by the specifying unit, and the communication device transmits the recommended information from the transmitting unit. The recommended information acquisition unit for acquiring recommendation information, characterized in that it comprises an information output section for outputting the recommendation information acquired by the recommendation information acquiring unit on a display unit.

  An information processing method according to one aspect is the information processing method in an information processing apparatus that processes recommended information indicating a product or service recommended to a user related to a vehicle. The information processing method specifies vehicle information related to the vehicle, and is based on the specified vehicle information. And identifying the user information indicating information about the user related to the vehicle, identifying the recommended information based on the identified vehicle information and user information, and the vehicle information and the communication device connected via a communication network Are associated with each other, and the information processing apparatus is caused to execute processing for transmitting the specified recommended information to the communication apparatus corresponding to the specified vehicle information.

  According to one aspect, by specifying recommended information based on vehicle information and user information, an appropriate product or service can be recommended to the user.

It is a schematic diagram which shows the outline | summary of an information processing system. It is a block diagram which shows the hardware group of a terminal device. It is a block diagram which shows the hardware group of information processing apparatus. It is a figure which shows an example of the data stored in vehicle information DB. It is a figure which shows an example of the data stored in user information DB. It is a figure which shows an example of the data stored in log | history information DB. It is a figure which shows an example of the data stored in service information DB. It is a figure which shows an example of the data stored in recommendation information DB. It is a figure which shows an example of the data stored in output information DB. It is a block diagram which shows the hardware group of a portable terminal device. It is a schematic diagram which shows the display part which output "coupon B". It is a schematic diagram which shows the display part which output "coupon A". It is a schematic diagram which shows the display part which output "travel ticket". It is the flowchart which showed the process sequence of the information processing system in this embodiment. It is the flowchart which showed the process sequence of the information processing system in this embodiment. It is the flowchart which showed the process sequence of the recommendation information specific process. It is the flowchart which showed the process sequence of the recommendation information specific process. 3 is a schematic diagram illustrating an overview of an information processing system according to Embodiment 2. FIG. It is a block diagram which shows the hardware group of a transmitter. 6 is a block diagram illustrating a hardware group of a terminal device according to Embodiment 2. FIG. It is a figure which shows an example of the data stored in vehicle information DB which concerns on Embodiment 2. FIG. 6 is a block diagram illustrating a hardware group of a mobile terminal device according to Embodiment 2. FIG. 6 is a flowchart illustrating a processing procedure of the information processing system according to the second embodiment. 6 is a flowchart illustrating a processing procedure of the information processing system according to the second embodiment. 6 is a flowchart illustrating a processing procedure of the information processing system according to the second embodiment. FIG. 10 is a block diagram illustrating a hardware group of an information processing device according to a third embodiment. It is a figure which shows an example of the data stored in store information DB. 10 is a flowchart illustrating a processing procedure of the information processing system according to the third embodiment. 10 is a flowchart showing a procedure of recommended information specifying processing according to Embodiment 3. FIG. 10 is a block diagram illustrating a hardware group of a terminal device according to a fourth embodiment. It is explanatory drawing which shows the vehicle inspection certificate which shows the document which proves that the vehicle was inspected. 10 is a flowchart illustrating a processing procedure of the information processing system according to the fourth embodiment. FIG. 10 is a schematic diagram illustrating an overview of an information processing system according to a fifth embodiment. It is a figure which shows an example of the data stored in store information DB which concerns on Embodiment 5. FIG. 10 is a flowchart illustrating a processing procedure of the information processing system according to the fifth embodiment. FIG. 10 is a schematic diagram illustrating an overview of an information processing system according to a sixth embodiment. FIG. 20 is a block diagram illustrating a hardware group of an information processing device according to a sixth embodiment. It is a figure which shows an example of the data stored in billing information DB. FIG. 20 is a diagram illustrating an example of data stored in an output information DB according to Embodiment 6. FIG. 10 is an explanatory diagram showing an information processing system according to a sixth embodiment. 14 is a flowchart illustrating a processing procedure of the information processing system according to the sixth embodiment. 14 is a flowchart illustrating a processing procedure of the information processing system according to the sixth embodiment. FIG. 20 is a block diagram illustrating a hardware group of an information processing device according to a seventh embodiment. It is a figure which shows an example of the data stored in loading capacity DB. 18 is a flowchart illustrating a processing procedure of the information processing system according to the seventh embodiment. FIG. 20 is a block diagram illustrating a hardware group of an information processing device according to an eighth embodiment. It is a figure which shows an example of the data stored in airplane information DB. 19 is a flowchart illustrating a processing procedure of the information processing system according to the eighth embodiment. It is a schematic diagram which shows the display part which output 8th recommendation information. FIG. 20 is a schematic diagram illustrating an overview of an information processing system according to a ninth embodiment. FIG. 20 is a block diagram illustrating a hardware group of an information processing device 3 according to a ninth embodiment. It is a figure which shows an example of the data stored in parking information DB. It is explanatory drawing which shows the parking lot of a store. It is the flowchart which showed the process sequence of the memory | storage process. FIG. 38 is a flowchart showing a processing procedure for recommended information specifying processing according to Embodiment 9. FIG. 24 is a flowchart illustrating a processing procedure of the information processing system according to the tenth embodiment.

Embodiment 1
Hereinafter, the present embodiment will be described with reference to the drawings. In the following description, the top, bottom, left and right in each figure are used. FIG. 1 is a schematic diagram showing an outline of an information processing system. The information processing system shown in FIG. 1 includes a camera 1, a terminal device (information terminal) 2, an information processing device 3, and a mobile terminal device (communication device) 4. The terminal device 2, the information processing device 3, and the mobile terminal device 4 are connected to each other by a communication network N such as the Internet, a LAN (Local Area Network), or a mobile phone network.

  The outline of the information processing system will be described below. The camera 1 is an image pickup device for picking up an image of the vehicle 5, and is, for example, a CCD (Charge-coupled device) camera, a CMOS (Complementary Metal Oxide Semiconductor) camera, an infrared camera, or the like. For example, the camera 1 is installed at a position where an image of a license plate provided in front of or behind the vehicle 5 paused in front of an entrance gate provided at the entrance of the store 6 can be taken. The camera 1 may be installed in a parking lot of the store 6 or a parking space in the store 6. The camera 1 reads the image of the license plate of the vehicle 5 and outputs the read image to the terminal device 2 by, for example, FTP (File Transfer Protocol). In this embodiment, the image of the license plate of the vehicle 5 is read using the camera 1, but the image of the license plate of the vehicle 5 may be read by ETC (Electronic Toll Collection System). Further, the store 6 is not limited to a store that sells products or services, and may refer to places that provide products or services such as parking lots or airports.

  The terminal device 2 is an output device that outputs various types of information to the information processing device 3, and is, for example, a computer or a server computer. Hereinafter, the terminal device 2 in the present embodiment will be described as a computer. The terminal device 2 acquires the license plate image from the camera 1 and analyzes the acquired license plate image to identify the vehicle registration number or vehicle identification information (number plate information) indicating a part of the vehicle registration number. The automobile registration number means a land transportation branch office code, a classification number, a usage code, and a series designation number displayed on the license plate. The terminal device 2 outputs the specified vehicle identification information to the information processing device 3.

  The information processing device 3 is a device that outputs recommended information indicating product or service information recommended to a user (user) based on various information to the mobile terminal device 4, and is, for example, a computer or a server computer. Hereinafter, the information processing apparatus 3 in the present embodiment will be described as a server computer. The operation and operation of the information processing apparatus 3 are as follows. The information processing device 3 acquires vehicle identification information from the terminal device 2 and specifies vehicle information indicating information related to the vehicle 5 based on the acquired vehicle identification information. User information (user information) indicating information related to the user is specified based on the specified vehicle information. The recommended information is specified based on the specified vehicle information and user information, and the specified recommended information is output (transmitted) to the mobile terminal device 4 corresponding to the vehicle information.

  The mobile terminal device 4 is a device that acquires various types of information from the information processing device 3, and is, for example, a smartphone, a mobile phone, a PDA (Personal Digital Assistance), or a laptop computer. Hereinafter, the portable terminal device 4 in this embodiment is demonstrated as a smart phone. The mobile terminal device 4 acquires the recommended information and outputs the acquired recommended information to the display unit 35 described later. Details of the information processing system will be described below.

  FIG. 2 is a block diagram illustrating a hardware group of the terminal device 2. The terminal device 2 shown in FIG. 2 includes a CPU (Central Processing Unit) 21, a storage unit 22, a RAM (Random Access Memory) 23, an input unit 24, a display unit 25, and a communication unit 26.

  The CPU 21 is connected to each part of hardware via a bus. The CPU 21 includes, for example, one or a plurality of CPUs or a multi-core CPU. The CPU 21 controls each part of the hardware according to the program 22P stored in the storage unit 22.

  The storage unit 22 is, for example, a hard disk or a large capacity memory. The storage unit 22 stores various data and programs 22P required when the CPU 21 performs processing.

  The RAM 23 is, for example, an SRAM (Static Random Access Memory), a DRAM (Dynamic Random Access Memory), a flash memory, or the like. The RAM 23 also functions as a storage unit, and temporarily stores various data generated when the CPU 21 executes various programs.

  The input unit 24 is an input device such as a mouse, a keyboard, or a touch panel, and outputs received operation information to the CPU 21. The display unit 25 is a liquid crystal display, an organic EL (Electro Luminescence) display, or the like, and displays various information according to instructions from the CPU 21. The communication unit 26 is, for example, a wireless LAN card or a mobile phone communication module, and receives an image transmitted from the camera 1 via the communication network N.

  FIG. 3 is a block diagram illustrating a hardware group of the information processing apparatus 3. 3 includes a CPU 31, a storage unit 32, a RAM 33, an input unit 34, a display unit 35, and a communication unit 36. Since the configurations of the CPU 31, RAM 33, input unit 34, and display unit 35 of the information processing device 3 are the same as the configurations of the CPU 21, RAM 23, input unit 24, and display unit 25 of the terminal device 2, description thereof is omitted for the sake of brevity.

  The storage unit 32 is, for example, a hard disk or a large capacity memory. The storage unit 32 stores various data necessary for the CPU 31 to perform processing, a program 32P, a vehicle information DB 321, a user information DB 322, a history information DB 323, a service information DB 324, a recommended information DB 325, and an output information DB 326. The communication unit 36 is, for example, a wireless LAN card or a mobile phone communication module, and acquires or outputs various types of information between the terminal device 2 and the mobile terminal device 4 via the communication network N.

  FIG. 4 is a diagram illustrating an example of data stored in the vehicle information DB 321. The vehicle information DB 321 is a database that stores vehicle information. The vehicle information DB 321 includes an automobile identification information column, a vehicle type column, a user column, a vehicle age column, a vehicle price column, a fuel consumption column, a loading amount column, a mail address column, and the like. Vehicle identification information is stored in the vehicle identification information sequence. For example, “Shinagawa 10 1111” is stored in the car identification information string. The vehicle type column stores the vehicle type of the vehicle 5. In the user column, the name of the user related to the vehicle 5 is stored. The number of years from the purchase of the vehicle 5 to the present is stored in the vehicle age column. The price of the vehicle 5 is stored in the vehicle price column. For example, 2 million is stored in the vehicle price column, and the unit is a yen. The fuel consumption of the vehicle 5 is stored in the fuel consumption column. For example, 10.00 is stored in the fuel consumption column, indicating that the vehicle can travel 10 kilometers per liter. For example, 2000 is stored in the load amount column, and the unit is kilogram. The mail address column stores the mail address of the mobile terminal device 4 corresponding to the vehicle information. The storage unit 32 stores a vehicle information DB 321 in advance.

  FIG. 5 is a diagram illustrating an example of data stored in the user information DB 322. The user information DB 322 is a database that stores user information related to the vehicle 5. The user information DB 322 includes a user column, gender column, age column, family component column, preference column, estimated annual income column, and the like. In the user column, the name of the user related to the vehicle 5 is stored. The gender column stores the gender of the user. The age column stores the user's age. The family composition column stores the user's family composition. For example, “parents living together”, “single”, “children”, and the like are included in the family composition column. Living with parents means living with parents. Single means that you are single. Childhood means that there are children. The preference of the user is stored in the preference column. For example, “cooking” or “travel” is stored in the preference column. “Cooking” indicates that the user's preference is cooking. “Travel” indicates that the user's preference is “travel”. In the estimated annual income column, the estimated annual income indicating the annual income of the user calculated by the CPU 31 is stored.

  The user column, gender column, age column, family component column, and preference column of the user information DB 322 are stored in advance. The CPU 31 calculates the estimated annual income based on the vehicle information, and stores the calculated estimated annual income in the user information DB 322. Specifically, when the vehicle price in the vehicle information DB 321 is “2 million”, the CPU 31 calculates an estimated annual income “4 million” and stores the calculated estimated annual income in the user information DB 322.

  Or CPU31 memorize | stores user data, such as member information or the use log | history of a membership ticket, in the memory | storage part 32 beforehand, specifies user information based on the user data memorize | stored in the memory | storage part 32, and uses the specified user information as a user. You may make it memorize | store in information DB322.

  FIG. 6 is a diagram illustrating an example of data stored in the history information DB 323. The history information DB 323 is a database that stores history information indicating a history of purchasing a product or service. The history information DB 323 includes a user column, a service name column, a price column, and the like. The name of the user is stored in the user column. The service name column stores the name of the service purchased by the user. The price column stores the price of the service. For example, the unit is a yen. In the present embodiment, it is assumed that the user has purchased a product or service in advance, and history information is stored in the history information DB 323 in advance.

  FIG. 7 is a diagram illustrating an example of data stored in the service information DB 324. The service information DB 324 is a database that stores service information indicating information related to products or services. The service information DB 324 includes a service name column, a price column, a target sex column, a target age column, a target family component column, a target preference column, a target annual income column, a product size column, and the like. The service name column stores the name of the service. The price column stores the price of the service. The target sex column stores the gender of the user who is the target of the service. The target age column stores the age of the user who is the target of the service. The target family structure column stores the family structure of the user to be serviced. The target preference column stores the preferences of the users who are the targets of the service. The target annual income column stores the annual income of the user who is the target of the service. The product size column stores the size of the product. For example, “100 × 100 × 100” is stored in the product size column. “100 × 100 × 100” indicates that the length in the horizontal direction is 100 mm, the length in the depth direction is 100 mm, and the length in the height direction is 100 mm. The service information DB 223 is stored in the storage unit 32 in advance.

  FIG. 8 is a diagram illustrating an example of data stored in the recommended information DB 325. The recommended information DB 325 is a database that stores recommended information. The recommended information DB 325 includes a recommended information column, a recommended service column, a product description column, and the like. The recommended information column stores recommended information. For example, “travel plan”, “coupon A”, “furniture information”, or “coupon B” is stored in the recommended information column. In the recommended service column, recommended services indicating names of recommended products or services are stored. In the product description column, descriptions of recommended products or services are stored. The storage unit 32 stores a recommended information DB 325 in advance.

  FIG. 9 is a diagram illustrating an example of data stored in the output information DB 326. The output information DB 326 is a database that stores a recommended history indicating a history of recommended information transmitted to the mobile terminal device 4. The output information DB 326 includes a recommended information column, an output user column, an output date / time column, and the like. The recommended information column stores recommended information. The user who has output the recommended information is stored in the output user column. The output date and time column stores the date and time of the output recommended information.

  The process in which the CPU 31 stores the elements in each column of the output information DB 326 is as follows. CPU31 specifies recommendation information based on vehicle information, history information, and user information. The CPU 31 stores the specified recommended information and user information in the output information DB 326.

  FIG. 10 is a block diagram illustrating a hardware group of the mobile terminal device 4. 10 includes a CPU 41, a storage unit 42, a RAM 43, an input unit 44, a display unit 45, and a communication unit 46. Since the configurations of the CPU 41 and the RAM 43 of the portable terminal device 4 are the same as the configurations of the CPU 31 and the RAM 33 of the information processing device 3, description thereof is omitted.

  The storage unit 42 is, for example, an EEPROM, a hard disk, or a flash memory. The storage unit 42 stores various data and programs 42P required when the CPU 41 performs processing.

  The input unit 44 is an input device such as a touch panel, and outputs received operation information to the CPU 41. The display unit 45 outputs image data from the CPU 41. The display unit 45 is, for example, a liquid crystal screen. The touch panel is provided so as to cover the display screen of the display unit 45. For example, the touch panel receives a position designation on the display screen of the display unit 45 by a touch operation of a user's fingertip such as a tap, flick, or swipe. The touch panel detects the coordinates on the display screen of the contact point touched by the user's fingertip, and outputs information on the touch operation performed by the user to the CPU 41 together with the detected coordinates. The input unit 44 may be various buttons for receiving user instructions, an enter key or a numeric keypad for receiving confirmation of instructions.

  The communication unit 46 is a network interface. The communication unit 46 is, for example, a wireless LAN card or a mobile phone communication module, and transmits / receives information to / from the information processing apparatus 3 via the communication network N.

  The operation and operation of the information processing system in this embodiment will be described. The CPU 21 specifies the vehicle identification information by analyzing the license plate image acquired from the camera 1. The CPU 21 outputs the vehicle identification information from the communication unit 26 to the information processing device 3. The CPU 31 acquires the vehicle identification information from the terminal device 2 through the communication unit 36. CPU31 specifies vehicle information based on the acquired car identification information. Specifically, the CPU 31 refers to the vehicle identification information sequence in the vehicle information DB 321 and identifies the vehicle information associated with the vehicle identification information. CPU31 specifies user information based on vehicle information. Specifically, the CPU 31 reads the user name from the user column of the vehicle information DB 321, refers to the user information DB 322, and identifies user information associated with the read user name.

  CPU31 performs the recommendation information specific process which specifies recommendation information based on vehicle information, log | history information, and user information. The action and operation of the recommended information identification process are as follows. The CPU 31 refers to the vehicle information DB 321.

  CPU31 classifies vehicles 5 for every rank based on specified vehicle information. Specifically, the vehicles 5 are classified for each rank based on the vehicle price associated with the specified vehicle information. A specific classification method of the vehicle 5 is as follows. When the vehicle price of the vehicle 5 is less than 3 million yen, the CPU 31 classifies the vehicle into rank C. When the vehicle price of the vehicle 5 is 3 million yen or more and less than 10 million yen, the CPU 31 classifies the vehicle 5 into rank B. When the vehicle price of the vehicle 5 is 10 million yen or more, the CPU 31 classifies the vehicle 5 into rank A. In addition, the classification method of the vehicle 5 in this embodiment is an example, and is not restricted to this. CPU31 may classify vehicles 5 for every rank, for example based on age or fuel consumption.

  The CPU 31 determines whether or not the rank of the vehicle 5 is rank A. When the CPU 31 determines that the rank of the vehicle 5 is rank A, the CPU 31 specifies predetermined first recommended information. The predetermined first recommended information is, for example, a travel plan. When determining that the rank of the vehicle 5 is not rank A, the CPU 31 determines whether or not the rank of the vehicle 5 is rank B. When the CPU 31 determines that the rank of the vehicle 5 is rank B, the CPU 31 specifies predetermined second recommended information. The predetermined second recommended information is, for example, a coupon A. When the CPU 31 determines that the rank of the vehicle 5 is not rank B, that is, when the rank of the vehicle 5 is determined to be rank C, the CPU 31 refers to the user information DB 322 to determine whether or not the user preference is a predetermined preference. judge. The predetermined preference is, for example, furniture. When the CPU 31 determines that the user preference is not the predetermined preference, the CPU 31 specifies the predetermined third recommended information. The predetermined third recommended information is, for example, a coupon B. When the CPU 31 determines that the user preference is a predetermined preference, the CPU 31 specifies predetermined fourth recommended information. The predetermined fourth recommended information is, for example, furniture information.

  The CPU 31 stores the specified third recommended information in the recommended information DB 325. CPU31 outputs recommendation information to the portable terminal device 4 corresponding to vehicle information from the communication part 36. FIG. Specifically, referring to the mail address string in the vehicle information DB 321, the recommended information is output from the communication unit 36 by mail to the mail address of the mobile terminal device 4 corresponding to the vehicle information. The CPU 41 of the mobile terminal device 4 acquires recommended information from the information processing device 3 by the communication unit 46. The CPU 31 outputs recommended information to the display unit 45.

  A specific operation and operation of the information processing system in this embodiment will be described. The CPU 21 of the terminal device 2 acquires a license plate image from the camera 1 through the communication unit 26. The CPU 21 identifies the vehicle identification information “Shinagawa 10 1111” by analyzing the acquired license plate image. The CPU 21 outputs the vehicle identification information “Shinagawa 10 1111” from the communication unit 26 to the information processing device 3. The CPU 31 acquires the vehicle identification information “Shinagawa 10a 1111” from the terminal device 2 by the communication unit 36. The CPU 31 refers to the vehicle identification information string in the vehicle information DB 321 and identifies the vehicle information in the first row of the vehicle information DB 321 associated with the acquired vehicle identification information “Shinagawa 10 1111”. The CPU 31 reads the user A from the user column in the first row of the vehicle information DB 321, refers to the user information DB 322, and identifies the user information in the first row of the user information DB 322 associated with the read user A.

  The CPU 31 refers to the vehicle information DB 321. The CPU 31 classifies the rank of the vehicle 5 as rank C because the vehicle price associated with the vehicle information in the first row of the vehicle information DB 321 is 20000 and the vehicle price of the vehicle 5 is less than 3 million yen.

  The CPU 31 determines that the rank of the vehicle 5 is not rank A. The CPU 31 determines that the rank of the vehicle 5 is not rank B. The CPU 31 refers to the user information DB 322 and determines that the user's preference is not furniture with a predetermined preference. The CPU 31 specifies “coupon B”. The CPU 31 stores the specified “coupon B” and the user A in the output information DB 326.

  The CPU 31 sends “Coupon B” by mail from the communication unit 36 to AAA @ mail. output to jp. The CPU 41 of the mobile terminal device 4 </ b> A acquires “coupon B” from the information processing device 3 through the communication unit 46. The CPU 41 outputs “coupon B” to the display unit 45. FIG. 11 is a schematic diagram showing the display unit 45 that outputs “coupon B”.

  The CPU 21 identifies the vehicle identification information “Shinagawa 10a 1112” by analyzing the acquired license plate image. The CPU 21 outputs the vehicle identification information “Shinagawa 10 1111” from the communication unit 26 to the information processing device 3. The CPU 31 acquires the vehicle identification information “Shinagawa 10 1111” from the terminal device 2 through the communication unit 36. The CPU 31 refers to the vehicle identification information string in the vehicle information DB 321 and identifies the vehicle information in the second row of the vehicle information DB 321 associated with the acquired vehicle identification information “Shinagawa 10 1112”. The CPU 31 reads out the user B from the user column in the second row of the vehicle information DB 321, refers to the user information DB 322, and identifies the user information in the second row of the user information DB 322 associated with the read out user B.

  The CPU 31 refers to the vehicle information DB 321. Since the vehicle price associated with the vehicle information in the second row of the vehicle information DB 321 is 3000000 and the vehicle price of the vehicle 5 is 3 million yen or more and less than 10 million yen, the CPU 31 ranks the vehicle 5 to rank B. Classify.

  The CPU 31 determines that the rank of the vehicle 5 is not rank A. The CPU 31 determines that the rank of the vehicle 5 is rank B. The CPU 31 specifies “coupon A”. The CPU 31 stores the identified “coupon A” and user B in the output information DB 326.

  The CPU 31 sends “Coupon A” by email from the communication unit 36 to BBB @ mail. output to jp. The CPU 41 of the mobile terminal device 4 acquires “coupon A” from the information processing device 3 through the communication unit 46. The CPU 41 outputs “coupon A” to the display unit 45. FIG. 12 is a schematic diagram showing the display unit 45 that has output “coupon A”.

  The CPU 21 identifies the vehicle identification information “Shinagawa 10a 1113” by analyzing the acquired license plate image. The CPU 21 outputs the vehicle identification information “Shinagawa 10a 1113” from the communication unit 26 to the information processing device 3. The CPU 31 acquires the vehicle identification information “Shinagawa 10a 1113” from the terminal device 2 by the communication unit 36. The CPU 31 refers to the vehicle identification information string in the vehicle information DB 321 and identifies the vehicle information in the third row of the vehicle information DB 321 associated with the acquired vehicle identification information 11113. The CPU 31 reads out the user C from the user column in the third row of the vehicle information DB 321, refers to the user information DB 322, and identifies the user information in the third row of the user information DB 322 associated with the read out user C.

  The CPU 31 refers to the vehicle information DB 321. The CPU 31 classifies the rank of the vehicle 5 as rank A because the vehicle price associated with the vehicle information in the third row of the vehicle information DB 321 is 15000000 and the vehicle price of the vehicle 5 is 10 million yen or more.

  The CPU 31 determines that the rank of the vehicle 5 is rank A. The CPU 31 specifies “travel ticket”. The CPU 31 stores the identified “travel ticket” and the user C in the output information DB 326.

  The CPU 31 sends a “travel ticket” by mail from the communication unit 36 to CCC @ mail. output to jp. The CPU 41 of the mobile terminal device 4 acquires a “travel ticket” from the information processing device 3 through the communication unit 46. The CPU 41 outputs “travel ticket” to the display unit 45. FIG. 13 is a schematic diagram showing the display unit 45 that outputs “travel ticket”. Note that the CPU 41 may output airplane information about the airplane such as the arrival and departure times of the airplane or the location of the airport counter to the display unit 45.

  Next, a processing procedure of the information processing system will be described using a flowchart. 14 to 15 are flowcharts showing the processing procedure of the information processing system in this embodiment. The CPU 21 of the terminal device 2 acquires a license plate image from the camera 1 through the communication unit 26 (step S1). The CPU 21 identifies the vehicle identification information by analyzing the acquired license plate image (step S2). The CPU 21 outputs the vehicle identification information from the communication unit 26 to the information processing device 3 (step S3). CPU31 acquires automobile identification information from the terminal device 2 by the communication part 36 (step S4). CPU31 specifies vehicle information based on the acquired automobile identification information (step S5). CPU31 specifies user information based on vehicle information (Step S6).

  CPU31 performs the recommendation information specific process which specifies recommendation information based on vehicle information, log | history information, and user information (step S7). The specified recommended information and user information are stored in the recommended information DB 325 (step S8). The CPU 31 outputs (transmits) the recommended information from the communication unit 36 to the mobile terminal device 4 corresponding to the vehicle information (step S9). The CPU 41 of the mobile terminal device 4 acquires recommended information from the information processing device 3 by the communication unit 46 (step S10). CPU41 displays recommendation information on the display part 45 (step S11), and complete | finishes a process.

  16 to 17 are flowcharts showing the procedure of the recommended information specifying process. CPU31 refers to vehicle information DB321, after complete | finishing the process of step S6 (step S21).

  CPU31 classifies vehicles 5 for every rank based on specified vehicle information (Step S22).

  CPU31 determines whether the rank of the vehicle 5 is the rank A (step S23). If the CPU 31 determines that the rank of the vehicle 5 is rank A (step S23: YES), the CPU 31 specifies predetermined first recommended information (step S24), ends the recommended information specifying process, and moves the process to step S8. . When determining that the rank of the vehicle 5 is not rank A (step S23: NO), the CPU 31 determines whether or not the rank of the vehicle 5 is rank B (step S25). When the CPU 31 determines that the rank of the vehicle 5 is rank B (step S25: YES), the CPU 31 specifies predetermined second recommended information (step S26), ends the recommended information specifying process, and moves the process to step S8. . When the CPU 31 determines that the rank of the vehicle 5 is not rank B (step S25: NO), that is, when it is determined that the rank of the vehicle 5 is rank C, the user's preference is set to a predetermined preference with reference to the user information DB 322. It is determined whether or not (step S27). If the CPU 31 determines that the user preference is not the predetermined preference (step S27: NO), the CPU 31 identifies the predetermined third recommended information (step S29), ends the recommended information identification processing, and moves the processing to step S8. When the CPU 31 determines that the user preference is the predetermined preference (step S27: YES), the CPU 31 identifies the predetermined fourth recommended information (step S28), ends the recommended information identification processing, and moves the processing to step S8. .

  The information processing system in the present embodiment can recommend an appropriate product or service to the user by outputting recommended information based on the vehicle information and the user information.

  Moreover, the information processing system in this embodiment specifies vehicle information based on vehicle identification information. As a result, the license plate of the vehicle 5 can be imaged by the camera 1 and the vehicle information can be immediately identified.

  Moreover, the information processing system in this embodiment can recommend a suitable product or service to the user according to the price of the vehicle 5 by classifying the vehicle 5 for each rank based on the vehicle information.

  In the present embodiment, the vehicle 5 is classified for each rank based on the vehicle information. However, the vehicle 5 may be classified for each rank based on the user information. In the present embodiment, the recommended information is specified according to the preference column of the user information DB 322. However, the recommended information may be specified according to the gender column, the chronological column, the family component column, and the estimated annual income column. When history information is stored in the history information DB 323, the stored history information may be specified as recommended information.

Embodiment 2
The second embodiment relates to an embodiment in which an IP address is acquired from the mobile terminal device 4 via a beacon ID. FIG. 18 is a schematic diagram showing an outline of an information processing system according to the second embodiment. In the following, the configuration and operation other than those specifically described are the same as those of the first embodiment, and the description is omitted for the sake of brevity. The information processing system further includes a transmission device 8 that transmits information using a communication protocol related to short-range communication within a predetermined communicable range (for example, 1 m to 10 m). The transmitter 8 is a beacon that is installed near the entrance gate and uses, for example, a Bluetooth (registered trademark) communication protocol. The transmission device 1 may be a wireless module. Alternatively, the transmission device 8 may be a device that transmits information by light or ultrasonic waves. Below, the transmission apparatus 8 is demonstrated as a beacon.

  FIG. 19 is a block diagram illustrating a hardware group of the transmission device 8. The transmission device 8 illustrated in FIG. 19 includes a CPU 81, a storage unit 82, a RAM 83, and a transmission unit 84. The configurations of the storage unit 82 and the RAM 83 of the transmission device 8 are the same as the configuration of the storage unit 22 and the RAM 23 of the terminal device 2, and are omitted for the sake of brevity.

  The CPU 81 is connected to each part of hardware via a bus. The CPU 81 includes, for example, one or a plurality of CPUs or a multi-core CPU. The CPU 81 controls each part of the hardware and outputs a digital signal including a beacon ID for identifying itself to the transmission unit 84 in accordance with the program 82P stored in the storage unit 82.

  The transmission unit 84 is, for example, a Bluetooth module, converts the digital signal output from the CPU 81 into a wireless signal, and outputs a wireless signal including the beacon ID to the mobile terminal device 2.

  FIG. 20 is a block diagram illustrating a hardware group of the terminal device 2 according to the second embodiment. The terminal device 2 illustrated in FIG. 20 further includes a receiving unit 28. The receiving unit 28 is a Bluetooth module, for example, and converts the received radio signal into a digital signal and outputs the digital signal to the CPU 21.

  FIG. 21 is a diagram illustrating an example of data stored in the vehicle information DB 321 according to the second embodiment. The vehicle information DB 321 includes an IP address string instead of the mail address string. The IP address column stores the IP address of the mobile terminal device 2 in the IP address column. The IP address string of the vehicle information DB 321 is stored in advance.

  FIG. 22 is a block diagram illustrating a hardware group of the mobile terminal device 4 according to the second embodiment. The portable terminal device 4 shown in FIG. The receiving unit 47 of the portable terminal device 4 has the same operation and operation as the receiving unit 28 of the terminal device 2, and description thereof is omitted for the sake of brevity.

  23 to 25 are flowcharts showing a processing procedure of the information processing system according to the second embodiment. Since the process of step S1-step S11 is the same as the recommendation information specific process which concerns on the above-mentioned Embodiment 1, description is abbreviate | omitted for brevity. CPU81 outputs beacon ID from the transmission part 84 to the terminal device 2 and the portable terminal device 4 (step S31). CPU41 acquires beacon ID from the transmitter 8 by the receiving part 47 (step S32).

  The CPU 41 outputs the beacon ID and its own IP address from the communication unit 46 to the information processing device 3 (step S33). CPU31 acquires beacon ID and IP address from the portable terminal device 4 by the communication part 36 (step S34), and moves a process to step S37. CPU21 acquires beacon ID from the transmission apparatus 8 by the receiving part 28 (step S35), and moves a process to step S1. CPU21 outputs vehicle identification information and beacon ID from the communication part 26 to the information processing apparatus 3 after complete | finishing the process of step S1-step S2 (step S36). CPU31 acquires automobile identification information and beacon ID from the terminal device 2 by the communication part 36 (step S37).

  CPU31 determines whether beacon ID acquired from the terminal device 2 and beacon ID acquired from the portable terminal device 4 corresponded (step S38). CPU31 complete | finishes a process, when it determines with beacon ID acquired from the terminal device 2 and beacon ID acquired from the portable terminal device 4 not corresponding (step S38: NO). If the CPU 31 determines that the beacon ID acquired from the terminal device 2 matches the beacon ID acquired from the mobile terminal device 4 (step S38: YES), the process proceeds to step S5. CPU31 memorize | stores the IP address corresponding to the vehicle information specified to vehicle information DB321, after complete | finishing the process of step S5 (step S39), and moves a process to step S6. CPU31 outputs the recommendation information to the portable terminal device 4 corresponding to vehicle information from the communication part 36, after complete | finishing the process of step S6-step S8. That is, the CPU 31 designates an IP address corresponding to the vehicle information from the communication unit 36 and outputs the recommended information to the mobile terminal device 4 (step S40), and the process proceeds to step S10.

  The information processing system in the present embodiment obtains an IP address from the mobile terminal device 4 via the beacon ID, so that recommended information can be output to the mobile terminal device 4 even if an email address is not stored in advance. it can.

Embodiment 3
Embodiment 3 relates to an embodiment in which recommended information is specified based on store information. FIG. 26 is a block diagram illustrating a hardware group of the information processing apparatus 3 according to the third embodiment. In the following, the configuration and operation other than those specifically described are the same as those of the first embodiment, and the description is omitted for the sake of brevity. The storage unit 32 of the information processing device 3 further includes a store information DB 327. Store information indicating the type of business of the store 5, superiority or inferiority relative to other stores, location, or the like is stored in the storage unit 22 of the terminal device 2 in advance.

  FIG. 27 is a diagram illustrating an example of data stored in the store information DB 327. Store information DB327 is a database which memorizes data about store information. The store information DB 327 includes a store row, a store information row, a rank row, and the like. Store names store store names. Store information is stored in the store information column. For example, a travel agency, a furniture store, a supermarket, or an airport is stored in the store information column. Store ranks (ranks) that classify stores are stored in the rank column. The store information DB 327 is stored in advance.

  The terminal device 2 in the third embodiment is associated with the store information of the store 5 and outputs the vehicle identification information and the store information of the store 5 to the information processing device 3. The CPU 31 acquires the vehicle identification information and the store information of the store 5 from the terminal device 2 through the communication unit 36.

  The recommended information specifying process according to the third embodiment will be described with reference to FIG. The CPU 31 refers to the store information DB 327 and classifies the stores 5 for each store rank based on the store information. The CPU 31 determines whether or not the store rank of the store 5 is rank A.

  When the CPU 31 determines that the store rank of the store 5 is rank A, the CPU 31 specifies predetermined first recommended information. When the CPU 31 determines that the store rank of the store 5 is not rank A, the CPU 31 determines whether or not the store rank of the store 5 is rank B. When the CPU 31 determines that the store rank of the store 5 is rank B, the CPU 31 specifies predetermined second recommended information. When the CPU 31 determines that the store rank of the store 5 is not rank B, the CPU 31 specifies predetermined third recommended information.

  A specific recommendation information specifying process according to the third embodiment will be described. When the acquired store information is a jewel store, the CPU 31 refers to the store information DB 327 and classifies the store rank of the store 5 into rank A associated with the jewel store. The CPU 31 determines that the store rank of the store 5 is rank A. The CPU 31 specifies predetermined first recommended information.

  When the acquired store information is a furniture store, the CPU 31 refers to the store information DB 327 and classifies the store rank of the store 5 into rank B associated with the furniture store. The CPU 31 determines that the store rank of the store 5 is not rank A. The CPU 31 determines that the store rank of the store 5 is rank B. The CPU 31 specifies predetermined second recommended information.

  When the acquired store information is a furniture store, the CPU 31 refers to the store information DB 327 and classifies the store rank of the store 5 into rank C associated with the supermarket. The CPU 31 determines that the store rank of the store 5 is not rank A. The CPU 31 determines that the store rank of the store 5 is not rank B. That is, the CPU 31 determines that the store rank of the store 5 is rank C. The CPU 31 specifies predetermined third recommended information.

  FIG. 28 is a flowchart showing a processing procedure of the information processing system according to the third embodiment. Since the processes other than step S3 to step S4 are the same as the recommended information specifying process according to the first embodiment described above, a description thereof will be omitted for the sake of brevity. CPU21 acquires store information from the memory | storage part 22 after complete | finishing the process of step S2 (step S51). The CPU 21 outputs the vehicle identification information and the store information from the communication unit 26 to the information processing device 3 (step S52). CPU31 acquires car identification information and store information from terminal unit 2 by communications department 36 (Step S53), and moves processing to Step S5.

  FIG. 29 is a flowchart showing a procedure of recommended information specifying processing according to the third embodiment. Since the process of step S21-step S22 is the same as the recommendation information specific process which concerns on the above-mentioned Embodiment 1, description is abbreviate | omitted for brevity. After completing the processing in step S14, the CPU 31 refers to the store information DB 327 and classifies the stores 5 for each store rank based on the store information (step S54). The CPU 31 determines whether or not the store rank of the store 5 is rank A (step S55).

  When the CPU 31 determines that the store rank of the store 5 is rank A (step S55: YES), the CPU 31 specifies predetermined first recommended information (step S56), ends the recommended information specifying process, and moves the process to step S8. Move. When determining that the store rank of the store 5 is not rank A (step S55: NO), the CPU 31 determines whether or not the store rank of the store 5 is rank B (step S57). When the CPU 31 determines that the store rank of the store 5 is rank B (step S57: YES), the CPU 31 specifies predetermined second recommended information (step S58), ends the recommended information specifying process, and moves the process to step S8. Move. When determining that the store rank of the store 5 is not rank B (step S57: NO), the CPU 31 specifies predetermined third recommended information (step S59), ends the recommended information specifying process, and moves the process to step S8. .

  The information processing system according to the present embodiment classifies the stores 5 for each store rank and specifies recommended information based on the classified store ranks, thereby recommending an appropriate product or service to a user who has visited the stores 5. Can do.

Embodiment 4
The fourth embodiment relates to an embodiment in which vehicle information is specified based on a QR code (registered trademark). The QR code is a two-dimensional barcode. FIG. 30 is a block diagram illustrating a hardware group of the terminal device 2 according to the fourth embodiment. In the following, the configuration and operation other than those specifically explained and the operation are the same as those of the third embodiment, and the description is omitted for the sake of brevity. The terminal device 2 further includes an imaging unit 27. The imaging unit 27 is, for example, a CCD camera or a CMOS camera, and acquires image data by photoelectrically converting an optical signal input via the CCD or the COMS.

  FIG. 31 is an explanatory view showing a vehicle inspection certificate 6 showing a document proving that the vehicle 5 has been inspected. The vehicle inspection certificate 6 has a QR code 7 written on the right side of the lower end. The QR code 7 has vehicle inspection information indicating information related to the vehicle inspection of the vehicle 5. The vehicle inspection information includes, for example, automobile identification information, chassis number, vehicle type, prime mover type, name, address, and the like.

  FIG. 32 is a flowchart showing a processing procedure of the information processing system according to the fourth embodiment. Since the processes other than steps S61 to S65 are the same as the recommended information specifying process according to the above-described third embodiment, the description thereof is omitted for the sake of brevity. The CPU 21 acquires an image of the QR code by the imaging unit 27 (step S61), and moves the process to step S51. After completing the process of step S51, the CPU 21 acquires vehicle inspection information by analyzing the acquired image of the QR code 7 (step S62). CPU21 outputs vehicle inspection information and store information to information processor 3 from communications department 26 (Step S63). CPU31 acquires vehicle inspection information and store information from terminal unit 2 by communications department 26 (Step S64). CPU31 specifies vehicle information and user information based on vehicle inspection information (Step S65), and moves processing to Step S7. Specifically, for example, the CPU 31 specifies vehicle information based on automobile identification information, and specifies user information based on a name.

  The information processing system in this embodiment specifies vehicle information based on the QR code. Since the vehicle inspection information is acquired by capturing the QR code with the image capturing unit 27, the vehicle information can be specified more accurately than the vehicle identification information that may cause the image analysis to fail.

Embodiment 5
The fifth embodiment relates to an embodiment that outputs store visit information (message) indicating that the vehicle 5 has visited the store 6. FIG. 33 is a schematic diagram showing an outline of an information processing system according to the fifth embodiment. In the following, the configuration and operation other than those specifically described are the same as those of the fourth embodiment, and the description is omitted for the sake of brevity. The information processing system according to Embodiment 5 includes terminal devices 2A, 2B, 2C, and the like, and stores 6A, 6B, 6C, and the like. Hereinafter, the terminal devices 2A, 2B, and 2C are representatively represented as the terminal device 2, and the stores 6A, 6B, and 6C are typically represented as the store 6.

  FIG. 34 is a diagram illustrating an example of data stored in the store information DB 327 according to the fifth embodiment. The store information DB 327 further includes a corresponding recommended information column and an IP address column. The recommended information is stored in the corresponding recommended information column. In the IP address column, the IP address of the terminal device (output destination) 2 of the store 6 is stored. The IP address indicates an output destination for outputting store visit information. The corresponding recommended information and the IP address of the store information DB 327 are stored in advance.

  An information processing system according to Embodiment 5 will be described with reference to FIGS. 9 and 34. FIG. After outputting the recommended information from the communication unit 36 to the mobile terminal device 4, the CPU 31 refers to the store information DB 327 and identifies the store 6 corresponding to the output recommended information. The CPU 31 specifies the IP address of the terminal device 2 corresponding to the specified store 6.

  The CPU 31 generates store visit information based on the store 6 and user information related to the terminal device 2 of itself. The CPU 31 specifies the IP address specified from the communication unit 36 and outputs the user information and store visit information to the terminal device 2. The CPU 21 acquires user information and store visit information by the communication unit 26. The CPU 21 outputs user information and store visit information to the display unit 25.

  A specific information processing system according to the fifth embodiment will be described. After outputting the recommended information coupon A from the communication unit 36 to the mobile terminal device 4 of the user A, the CPU 31 refers to the store information DB 327 and specifies the store 6C corresponding to the output recommended information coupon A. The CPU 31 specifies the IP address of the terminal device 2C corresponding to the specified store 6C.

  The CPU 31 generates store visit information based on the store 6A and the user information user A related to its own terminal device 2A. The CPU 31 specifies the IP address specified from the communication unit 36 and outputs the user information user A and the store visit information to the terminal device 2C. The CPU 21 of the terminal device 2 </ b> C acquires the user information user A and store visit information by the communication unit 26. The CPU 21 outputs the user information user A and store visit information to the display unit 25. Specifically, the CPU 21 outputs “user A has visited the store 6 </ b> A” to the display unit 25.

  FIG. 35 is a flowchart showing a processing procedure of the information processing system according to the fifth embodiment. Since the process of step S1-step S65 is the same as that of the information processing system which concerns on the above-mentioned Embodiment 4, description is abbreviate | omitted for brevity. After completing the process in step S9, the CPU 31 refers to the store information DB 327 and specifies the store 6 corresponding to the output recommended information (step S71). The CPU 31 specifies the IP address of the terminal device 2 corresponding to the specified store 6 (step S72).

  CPU31 produces | generates store visit information based on the store 6 and user information which concern on its own terminal device 2 (step S73). The CPU 31 designates the IP address specified from the communication unit 36 and outputs the user information and store visit information to the terminal device 2 (step S74). CPU21 acquires user information and store visit information by communication part 26 (Step S75). CPU21 outputs user information and store visit information to display part 25 (Step S76), and ends processing.

  Since the information processing system in the present embodiment outputs the store visit information to the terminal device 2 of the store 6 corresponding to the recommended information, it is confirmed whether or not the store clerk of the store 6 corresponding to the recommended information is the user who has output the recommended information. can do. As a result, the store clerk can appropriately serve customers such as recommending recommended information.

Embodiment 6
Embodiment 6 relates to an embodiment for generating billing information based on purchase information. FIG. 36 is a schematic diagram showing an outline of an information processing system according to the sixth embodiment. In the following, the configuration and operation other than those specifically described are the same as those of the fifth embodiment, and the description is omitted for the sake of brevity. The information processing system according to the sixth embodiment includes portable terminal devices 4A, 4B, 4C, and the like, and POS terminals 7A, 7B, 7C, and the like. The portable terminal devices 4A, 4B, and 4C are representatively represented as the portable terminal device 4, and the POS terminals 7A, 7B, and 7C are representatively represented as the POS terminal 7 in some cases. The POS terminal 7 is connected to the terminal device 2. When the POS terminal 7 reads the coupon, the POS terminal 7 outputs the product or service described in the read coupon to the terminal device 2 as purchase information indicating that the product or service has been purchased.

  FIG. 37 is a block diagram illustrating a hardware group of the information processing apparatus 3 according to the sixth embodiment. The storage unit 32 of the information processing apparatus 3 further includes a billing information DB 328. FIG. 38 is a diagram illustrating an example of data stored in the billing information DB 328. The billing information DB 328 is a database that stores data related to billing information to be billed based on purchase information. The charging information DB 328 includes a store column, a charging information column, an IP address column, and the like. Store names store store names. Billing information is stored in the billing information column. In the IP address column, the IP address of the terminal device 2 of the store 6 is stored. The store column and the IP address column of the billing information DB 328 are stored in advance. The CPU 31 refers to the price information in the service information DB 324 and generates, as billing information, an amount obtained by adding a predetermined ratio to the price of goods or services related to purchase information. The CPU 31 stores the generated charging information in the charging information DB 328.

  FIG. 39 is a diagram showing an example of data stored in the output information DB 326 according to the sixth embodiment. The output information DB 326 further includes a usage history column. A usage history indicating whether or not the user has used recommended information is stored in the usage history column. For example, “Yes” or “No” is stored in the use history column. “Yes” indicates that the user has purchased a product or service based on the recommended information. “None” indicates that the user did not purchase the product or service based on the recommended information. The CPU 31 acquires purchase information and user information from the terminal device 2 through the communication unit 36. The output information DB 326 associates purchase information with recommended information. The CPU 31 refers to the output information DB 326 to determine whether the recommended information corresponding to the acquired user information and the purchase information are the same. When the CPU 31 determines that the recommended information and the purchase information are the same, the CPU 31 stores a use history corresponding to the recommended information in the output information DB 326.

  FIG. 40 is an explanatory diagram showing an information processing system according to the sixth embodiment. An information processing system according to Embodiment 5 will be described with reference to FIG. The user shows the coupon to the store clerk of the store 6 and purchases the recommended service related to the recommended information. When the store clerk inputs the purchase information of the recommended service to the POS terminal 7, the POS terminal 7 </ b> B outputs the input purchase information to the terminal device 2. The CPU 21 acquires purchase information from the POS terminal 7. The CPU 21 outputs a request for user information from the communication unit 26 to the mobile terminal device 4.

  The CPU 41 acquires a request for user information from the terminal device 2 through the communication unit 46. The CPU 41 outputs user information from the communication unit 46 to the terminal device 2. The CPU 21 acquires user information from the mobile terminal device 4 through the communication unit 26.

  The CPU 21 outputs purchase information, user information, and its own IP address from the communication unit 26 to the information processing device 3. The CPU 31 acquires purchase information, user information, and an IP address from the terminal device 2 through the communication unit 36. The CPU 31 refers to the output information DB 326 to determine whether the recommended information corresponding to the acquired user information and the purchase information are the same. That is, the CPU 31 refers to the output information DB 326 and determines whether the recommended service and the purchase information related to the recommended information corresponding to the acquired user information are the same. When the CPU 31 determines that the recommended information and the purchase information are the same, the CPU 31 stores the use history in the output information DB 326. The CPU 31 generates billing information based on the purchase information. Specifically, the CPU 31 refers to the price information in the service information DB 324 and generates, as billing information, an amount obtained by adding a predetermined ratio to the price of the product or service related to the purchase information. The predetermined ratio is, for example, 10%. In this embodiment, the amount after the decimal point is rounded down.

  The CPU 31 designates the IP address acquired from the communication unit 36 and outputs billing information to the terminal device 2. The CPU 21 acquires billing information from the information processing device 3 by the communication unit 26. The CPU 21 outputs billing information on the display unit 25.

  A specific information processing system according to the sixth embodiment will be described. The user B shows the coupon A output to the mobile terminal 4B to the store clerk of the store 6B, and purchases the recommended service onion related to the recommended information coupon A. When the store clerk inputs the purchase information onion to the POS terminal 7B, the POS terminal 7B outputs the input purchase information onion to the terminal device 2B. The CPU 21 acquires purchase information onions from the POS terminal 7. The CPU 21 outputs a request for user information from the communication unit 26 to the mobile terminal device 4.

  The CPU 41 acquires a request for user information from the terminal device 2 through the communication unit 46. The CPU 41 outputs user information related to the user B from the communication unit 46 to the terminal device 2. The CPU 21 acquires user information relating to the user B from the mobile terminal device 4 through the communication unit 26.

  The CPU 21 outputs the purchase information onion, the user information related to the user B, and the own IP address from the communication unit 26 to the information processing device 3. CPU31 acquires the purchase information onion, the user information which concerns on the user B, and the IP address which concerns on the terminal device 2B from the terminal device 2B by the communication part 36. FIG. The CPU 31 refers to the output information DB 326 and determines that the recommended service onion and the purchase information onion related to the recommended information coupon A are the same. The usage history of the coupon A is stored in the output information DB 326. The CPU 31 refers to the price information 21 in the service information DB 324 and generates, as billing information, an amount 2 that is obtained by adding 10% to the onion price 21.

  The CPU 31 designates the IP address acquired from the communication unit 36 and outputs the billing information 2 to the terminal device 2. The CPU 21 acquires the billing information 2 from the information processing device 3 through the communication unit 26. The CPU 21 outputs the billing information 2 to the display unit 25. Specifically, the CPU 21 outputs “Billing is ¥ 2” to the display unit 25.

  41 to 42 are flowcharts showing the processing procedure of the information processing system according to the sixth embodiment. Since the process of step S1-step S76 is the same as that of the information processing system which concerns on the above-mentioned Embodiment 4, it abbreviate | omits description for brevity. The CPU 21 acquires purchase information from the POS terminal 7 (step S81). CPU21 outputs the request | requirement of user information from the communication part 26 to the portable terminal device 4 (step S82).

  CPU41 acquires the request | requirement of user information from the terminal device 2 by the communication part 46 (step S83). CPU41 outputs user information to the terminal device 2 from the communication part 46 (step S84). CPU21 acquires user information from the portable terminal device 4 by the communication part 26 (step S85).

  The CPU 21 outputs purchase information, user information, and its own IP address from the communication unit 26 to the information processing device 3 (step S86). The CPU 31 acquires purchase information, user information, and an IP address from the terminal device 2 through the communication unit 36 (step S87). The CPU 31 refers to the output information DB 326 and determines whether the recommended information corresponding to the acquired user information and the purchase information are the same (step S88). If the CPU 31 determines that the recommended information and the purchase information are not the same (step S88: NO), the process ends. When the CPU 31 determines that the recommended information and the purchase information are the same (step S88: YES), the CPU 31 stores the use history in the output information DB 326 (step S89). The CPU 31 generates billing information based on the purchase information (step S90).

  The CPU 31 designates the IP address acquired from the communication unit 36 and outputs billing information to the terminal device 2 (step S91). The CPU 21 acquires billing information from the information processing device 3 through the communication unit 26 (step S92). The CPU 21 displays the billing information on the display unit 25 (step S93) and ends the process.

  The information processing apparatus according to the present embodiment can grasp whether the user has purchased a product or service recommended by the recommended information by acquiring the purchase information.

  Note that, when the POS terminal 7 of the present embodiment reads the coupon, the purchase information is output to the terminal device 2, but the present invention is not limited to this. The POS terminal 7 may output purchase information to the terminal device 2 when the user purchases a product or service.

  Moreover, although CPU21 in this embodiment requested | required the user information, it is not restricted to this. For example, user information may be described in a coupon by QR code or barcode, and CPU21 may acquire user information by reading the user information described in the coupon.

Embodiment 7
The seventh embodiment relates to an embodiment in which the CPU 31 specifies recommended information according to the loading amount of the vehicle 5. In the following, the configuration and operation other than those specifically explained and the operation are the same as those of the third embodiment, and the description is omitted for the sake of brevity. FIG. 43 is a block diagram illustrating a hardware group of the information processing apparatus 3 according to the seventh embodiment. The storage unit 32 of the information processing apparatus 3 further includes a load amount DB 329. FIG. 44 is a diagram illustrating an example of data stored in the load amount DB 329. The load amount DB 329 is a database that stores recommended information corresponding to the load amount of the vehicle 5. The load amount DB 329 includes a load amount column and a recommended information column. The load amount column stores the load amount of the vehicle 5. The recommended information column stores recommended information. The load amount DB 329 is stored in advance.

  FIG. 45 is a flowchart showing the processing procedure of the information processing system according to the seventh embodiment. Since the process of step S1-step S59 is the same as the recommendation information specific process which concerns on the above-mentioned Embodiment 3, description is abbreviate | omitted for brevity. The CPU 21 refers to the vehicle information DB 321 and determines whether or not the loading amount of the vehicle 5 is equal to or greater than a predetermined first loading amount (step S101). The predetermined first load amount is, for example, 5000 kg. When the CPU 21 determines that the load amount of the vehicle 5 is not equal to or greater than the predetermined first load amount (step S101: NO), the CPU 21 refers to the load amount DB 329 and specifies predetermined fifth recommended information corresponding to the load amount (step S101). S102), the recommended information specifying process is terminated, and the process proceeds to step S8. The predetermined fifth recommended information is a storage case.

  When the CPU 21 determines that the load amount of the vehicle 5 is equal to or greater than the predetermined first load amount (step S101: YES), the CPU 21 determines whether the load amount of the vehicle 5 is equal to or greater than the predetermined second load amount (step S101). S103). The predetermined second load amount is 20000 kg, for example. When the CPU 21 determines that the load amount of the vehicle 5 is equal to or greater than the predetermined second load amount (step S103: YES), the CPU 21 refers to the load amount DB 329 and specifies predetermined sixth recommended information corresponding to the load amount ( Step S104), the recommended information specifying process is terminated, and the process proceeds to step S8. When the CPU 21 determines that the load amount of the vehicle 5 is not equal to or larger than the predetermined second load amount (step S103: NO), the CPU 21 refers to the load amount DB 329 and specifies predetermined seventh recommended information corresponding to the load amount (step S103). S105), the recommended information specifying process is terminated, and the process proceeds to step S8. The predetermined seventh recommended information is, for example, a chair.

  The information processing system in the present embodiment can recommend products or services that can be loaded on the vehicle 5 by specifying recommended information according to the loading amount of the vehicle 5.

Embodiment 8
The eighth embodiment relates to an embodiment in which the CPU 31 specifies airplane information as recommended information. FIG. 46 is a block diagram illustrating a hardware group of the information processing apparatus 3 according to the eighth embodiment. The storage unit 32 of the information processing device 3 further includes an airplane information DB 330. FIG. 47 is a diagram showing an example of data stored in the airplane information DB 330. The airplane information DB 330 is a database that stores airplane information about airplanes on which the user is boarded. The airplane information DB 330 includes a user column, a departure flight column, a time column, a gate column, and the like. The user column stores the name of the user. In the departure flight column, the name of an airplane departing from the airport is stored. For example, A150, A151 or A152 is stored as the departure flight train. The time column stores the departure time of the airplane. The gate column stores the gate from which the user departs. For example, A01, A02, or A03 is stored in the gate column. The airplane information DB 330 is stored in advance. In the following, the configuration and operation other than those specifically explained and the operation are the same as those of the third embodiment, and the description is omitted for the sake of brevity.

  FIG. 48 is a flowchart showing the processing procedure of the information processing system according to the eighth embodiment. Since the process of step S1-step S59 is the same as the recommendation information specific process which concerns on the above-mentioned Embodiment 3, description is abbreviate | omitted for brevity. The CPU 31 refers to the store information DB 327 to determine whether or not the store 6 where the vehicle 5 is parked is a predetermined store (step S111). The predetermined store is, for example, an airport. If the CPU 31 determines that the store 6 where the vehicle 5 is parked is not a predetermined store (step S111: NO), the process proceeds to step S55.

  When the CPU 31 determines that the store 6 in which the vehicle 5 is parked is a predetermined store (step S111: YES), the CPU 31 refers to the plane information DB 330 and determines the eighth recommended information related to the plane information based on the specified user information. Generate (step S112). Specifically, the CPU 31 refers to the airplane information DB 330 and generates eighth recommended information that associates the name, time, or gate of the airplane associated with the specified user information. The CPU 31 specifies the generated eighth recommended information (Step S113), ends the recommended information specifying process, and moves the process to Step S35.

  FIG. 49 is a schematic diagram showing the display unit 45 that has output the eighth recommended information. For example, “departure flight A150 from user A departs at 12:10. The departure gate is A051” is output on the display unit 45.

  The information processing system in the present embodiment can present the name of the airplane or the arrival and departure times to the user by specifying the eighth recommended information related to the airplane information.

Embodiment 9
The ninth embodiment relates to an embodiment in which the CPU 31 specifies an empty parking space. FIG. 50 is a schematic diagram showing an outline of an information processing system according to the ninth embodiment. In the following, the configuration and operation other than those specifically described are the same as those of the sixth embodiment, and the description is omitted for the sake of brevity. The information processing system further includes transmission devices 8A, 8B, 8C and 8D. Hereinafter, the transmission device 8A, 8B, 8C, or 8D will be referred to as the transmission device 8 as a representative. Note that the configuration of the transmission apparatus 8 in the present embodiment is the same as that of the transmission apparatus 8 according to the second embodiment, and thus description thereof is omitted. Moreover, since the structure of the terminal device 2 in this embodiment is the same as that of the terminal device 2 which concerns on Embodiment 2, description is abbreviate | omitted.

  FIG. 51 is a block diagram illustrating a hardware group of the information processing apparatus 3 according to the ninth embodiment. The storage unit of the information processing device 3 illustrated in FIG. 51 further includes a parking information DB 331.

  FIG. 52 is a diagram illustrating an example of data stored in the parking information DB 331. The parking information DB 331 is a database that stores parking information indicating whether or not the vehicle 5 is parked in the parking space. The parking information DB 331 includes a parking space column, a beacon ID column, a parking information column, a user column, and the like. A parking space number is stored in the parking space column. Parking information is stored in the parking information column. A beacon ID is stored in the beacon ID column. For example, “Yes” or “No” is stored in the parking information column. “Present” indicates that the vehicle 5 is parked in the parking space. “None” indicates that the vehicle 5 is not parked in the parking space. In the user column, the name of the user related to the vehicle 5 is stored. The parking space number, beacon ID, parking information, and user name are associated with each other.

  The parking space column and the beacon ID column are stored in advance. The parking information string stores “none” in advance. The CPU 31 acquires the beacon ID and user information from the mobile terminal device 4 through the communication unit 36. CPU31 updates parking information based on acquired beacon ID. Specifically, when the parking information corresponding to the acquired beacon ID is “Yes”, the CPU 31 updates the parking information to “No”. When the parking information corresponding to the acquired beacon ID is “none”, the CPU 31 updates the parking information to “present”. CPU31 memorize | stores the user's name which concerns on user information in the user column of parking information DB331.

  FIG. 53 is an explanatory view showing a parking lot of the store 6. The parking lot shown in FIG. 53 is divided into four parking spaces 91, 92, 93 and 94 on the left side, and transmission devices 8A, 8B, 8C provided at the right ends of the parking spaces 91, 92, 93 and 94, and 8D. The vehicle 5 is parked in the parking spaces 91 and 92.

  An information processing system according to Embodiment 9 will be described with reference to FIGS. 52 and 53. FIG. After CPU31 specifies user information, it refers to parking information DB331, and specifies the parking information which shows "no parking". CPU31 specifies the parking space matched with the specified parking information. CPU31 produces | generates recommendation information based on the specified parking space. The CPU 31 identifies the generated recommended information. The CPU 31 stores the specified recommended information and user information in the output information DB 326.

  The CPU 31 outputs the recommended information from the communication unit 36 to the mobile terminal device 4. The CPU 31 of the mobile terminal device 4 acquires recommended information from the information processing device 3 by the communication unit 36. The CPU 31 outputs recommended information to the display unit 35.

  The operation and operation of the information processing system according to the specific embodiment 6 will be described. The CPU 31 refers to the parking information DB 331, and identifies the second and fourth lines of the parking information DB 331 with the parking information indicating “none”. The CPU 31 specifies the parking spaces 92 and 94 in the second and fourth rows of the parking information DB 331. The CPU 31 generates recommended information based on the identified parking spaces 92 and 94. Specifically, the CPU 31 generates recommended information for outputting “the parking spaces 92 and 94 are vacant” to the display unit 35. The CPU 31 identifies the generated recommended information. The CPU 31 stores the specified recommended information and user information in the output information DB 326.

  The CPU 31 outputs the recommended information from the communication unit 36 to the mobile terminal device 4. The CPU 31 of the mobile terminal device 4 acquires recommended information from the information processing device 3 by the communication unit 36. The CPU 31 outputs “the parking spaces 92 and 94 are vacant” to the display unit 35.

  In the ninth embodiment, after the storage process for storing the parking information is performed in advance, the process of the information processing system is started. Since the process of S1-S11 is the same as the recommendation information specific process which concerns on the above-mentioned Embodiment 2, description is abbreviate | omitted for brevity. FIG. 54 is a flowchart showing the procedure of the storage process. CPU81 outputs beacon ID to the portable terminal device 4 from the transmission part 84 (step S121). CPU41 acquires beacon ID from the transmitter 8 by the receiving part 47 (step S122).

  CPU41 outputs beacon ID and user information to the information processing apparatus 3 from the communication part 46 (step S123). CPU31 acquires beacon ID and user information from the portable terminal device 4 by the communication part 36 (step S124). CPU31 updates parking information based on acquired beacon ID (step S125). CPU31 memorize | stores the user's name which concerns on user information in parking information DB331 (step S126), and complete | finishes a memory | storage process.

  FIG. 55 is a flowchart showing the procedure of the recommended information specifying process according to the ninth embodiment. CPU31 refers to parking information DB331, and specifies the parking information which shows "no parking" (step S127). CPU31 specifies the parking space matched with the specified parking information (step S128). CPU31 produces | generates recommendation information based on the specified parking space (step S129). The CPU 31 specifies the generated recommended information (step S130), ends the recommended information specifying process, and moves the process to S8.

  The information processing system in the present embodiment generates recommendation information based on the parking space associated with the parking information, and appropriately recommends an empty space in the parking lot to the user by specifying the generated recommendation information. Can do.

  In addition, in this embodiment, although CPU31 produced | generated recommendation information based on the specified parking space, it is not restricted to this. For example, the CPU 31 may generate recommended information that outputs whether or not the entrance is a priority service or a tower parking lot.

In the present embodiment, the CPU 31 updates the parking information based on the beacon ID.
The position information may be calculated from the beacon ID and the signal strength of the radio signal transmitted from the transmission device 8, and the parking information may be updated based on the calculated position information. Specifically, it is as follows. The CPU 31 determines whether or not the calculated position information is at a predetermined position. The predetermined position is, for example, any one of the parking spaces 91 to 94. When the CPU 31 determines that the calculated position information is at a predetermined position, the CPU 31 updates the parking information to “no parking” when the parking information is “parked”. Further, when the CPU 31 determines that the calculated position information is at a predetermined position, the parking information is updated to “parking” when the parking information corresponding to the acquired beacon ID is “no parking”.

Embodiment 10
The tenth embodiment relates to an embodiment in which the CPU 31 specifies a parking space where the vehicle is parked. FIG. 56 is a flowchart showing the processing procedure of the information processing system according to the tenth embodiment. In the following, the configuration and operation other than those specifically described are the same as those of the sixth embodiment, and the description is omitted for the sake of brevity. CPU41 outputs the request | requirement of parking information, and user information to the information processing apparatus 3 from the communication part 46 (step S131). CPU31 acquires the request | requirement of parking information, and user information from the portable terminal device 4 by the communication part 36 (step S132). CPU31 specifies the parking information and parking space matched with user information (step S133).

  The CPU 31 determines whether or not the specified parking information is “parking is present” (step S134). When the CPU 31 determines that the specified parking information is not “parking” (step S134: NO), that is, when it is determined that the specified parking information is “no parking”, the process ends. When the CPU 31 determines that the specified parking information is “parking” (step S134: YES), the CPU 31 outputs the parking space number from the communication unit 36 to the portable terminal device 4 (step S135). CPU41 acquires the number of a parking space from the information processing apparatus 3 by the communication part 46 (step S136). CPU41 outputs the number of a parking space to the display part 45 (step S137), and complete | finishes a process.

  The information processing system in the present embodiment can easily find the parking space where the user parked by outputting the parking space number to the mobile terminal device 4.

  The embodiment disclosed this time is to be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the meanings described above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

1 Camera 2 Terminal device (information terminal)
3 Information processing device 4 Mobile terminal device (communication device)
5 Vehicle 6 Store 8 Transmitter 32P Program 321 Vehicle Information DB
322 User information DB
323 History information DB
324 Service Information DB
325 Recommended information DB
326 Output information DB
327 store information DB
328 Accounting information DB
329 Load DB
330 Airplane Information DB
331 Parking Information DB
45 display

Claims (10)

In an information processing apparatus that processes recommended information indicating a product or service recommended for a user related to a vehicle,
A specifying unit for specifying vehicle information related to the vehicle;
A user specifying unit for specifying user information indicating information on the user based on the vehicle information specified by the specifying unit;
An information specifying unit for specifying the recommended information based on the user information specified by the user specifying unit and the vehicle information specified by the specifying unit;
A transmission unit that associates a communication device connected via a communication network with the vehicle information, and transmits the recommended information specified by the information specifying unit to the communication device corresponding to the vehicle information specified by the specifying unit An information processing apparatus comprising: A number information specifying unit for specifying the license plate information of the vehicle;
The information processing apparatus according to claim 1, wherein the specifying unit specifies the vehicle information based on license plate information specified by the number information specifying unit. A barcode acquisition unit for acquiring a two-dimensional barcode described in the vehicle inspection certificate of the vehicle;
A vehicle inspection information specifying unit that acquires vehicle inspection information related to vehicle inspection based on the two-dimensional barcode acquired by the barcode acquisition unit;
The information processing apparatus according to claim 1 or 2, wherein the specifying unit specifies the vehicle information based on the vehicle inspection information acquired by the vehicle inspection information specifying unit.   The information processing apparatus according to any one of claims 1 to 3, further comprising a purchase information acquisition unit configured to acquire purchase information indicating information on purchase of a product or service recommended by the recommendation information. A price specifying unit for specifying the price of the vehicle;
A classification unit that classifies the vehicle information based on the price of the vehicle identified by the price identification unit;
The information processing apparatus according to claim 1, wherein the information specifying unit specifies recommended information based on vehicle information classified by the classification unit. Store information about the store is associated with the grade,
A store information acquisition unit for acquiring the store information;
The information specifying unit is configured to specify recommended information based on a grade corresponding to the store information acquired by the store information acquiring unit. The information processing apparatus described. In a program to be executed by an information processing apparatus that processes recommended information indicating a product or service recommended to a user related to a vehicle,
Identifying vehicle information about the vehicle,
Identifying user information indicating information about the user based on the identified vehicle information;
A program for causing an information processing apparatus to execute processing for specifying the recommended information based on specified vehicle information and user information. The recommended information is associated with the store, the information terminal of the store is associated with the IP address,
Identify the store associated with the recommended information you identified,
Generate a message based on the identified store and user information,
8. The program according to claim 7, wherein an IP address indicating an output destination for outputting the generated message is specified in association with the specified information terminal of the store. In an information processing system including an information processing device that processes recommended information indicating a product or service recommended for a user related to a vehicle, and a communication device connected to the information processing device via a communication network,
The information processing apparatus includes:
A specifying unit for specifying vehicle information related to the vehicle;
A user specifying unit that acquires user information indicating information about a user related to the vehicle based on the vehicle information specified by the specifying unit;
An information specifying unit for specifying the recommended information based on the vehicle information specified by the specifying unit and the user information specified by the user specifying unit;
The communication device is associated with the vehicle information, and includes a transmission unit that transmits the recommended information specified by the information specifying unit to the communication device corresponding to the vehicle information specified by the specifying unit,
The communication device
A recommended information acquisition unit for acquiring recommended information transmitted from the transmission unit;
An information processing system comprising: an information output unit that outputs the recommended information acquired by the recommended information acquisition unit to a display unit. In an information processing method in an information processing apparatus for processing recommended information indicating products or services recommended for a user related to a vehicle,
Identifying vehicle information about the vehicle,
Identifying user information indicating information about a user related to the vehicle based on the identified vehicle information;
Identify the recommended information based on the identified vehicle information and user information,
An information processing method in which a communication device connected via a communication network is associated with the vehicle information, and causes the information processing device to execute processing for transmitting the specified recommended information to the communication device corresponding to the specified vehicle information .

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