JP2016128958A - Control device, control program, and control method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To appropriately divide data into groups.SOLUTION: A storage unit 1a stores positional information on a user and interest information about objects of interest of the user. An operation unit 1b receives data D1 and positional information P1 from a terminal device 2, and specifies users 3, 3a, 3b, and 3c existing in a region R1 corresponding to the received positional information P1 with reference to the storage unit 1a. The operation unit 1b determines interest information C1 common to at least a part of the users 3, 3a, 3b, and 3c, relates the common interest information C1 and the data D1 to each other, and stores them into the storage part 1a.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a management apparatus, a management program, and a management method.

  Currently, a terminal device that can communicate via a network is used by many users. The terminal device can acquire various information from a server device connected to the network. For example, there is a proposal of a system that provides a user with information on a situation where people are accidentally gathered. In this proposal, the server device detects the degree of gathering of people at each position, determines a position where the current number of people is equal to or greater than a predetermined number, or the number of people change is equal to or greater than a predetermined reference change amount, and information on the position is obtained. Provide to the terminal device.

JP 2009-98446 A

  The user can upload data (for example, image or video data) acquired using a terminal device or the like to the server device. For example, a user can share the scene with other users by uploading image data of an event scene at an event venue to a server device using a terminal device. Therefore, it is conceivable to use the uploaded data for marketing. For example, advertising content is generated from image data of an event uploaded from a terminal device of a user participating in the event, and distributed to the terminal devices of other users who are interested in the event. If other users see the advertisement and participate in the event, sales of event tickets and related products can be increased.

  However, the number of users is enormous, and the types of data uploaded from each user's terminal device are also diverse. If the data cannot be properly classified, extra data that is not of interest to the user may be distributed to the user's terminal device.

  In one aspect, an object of the present invention is to provide a management device, a management program, and a management method capable of appropriately classifying data.

  In one aspect, a management device is provided. The management device includes a storage unit and a calculation unit. The storage unit stores user position information and interest information indicating a user's interest. When the calculation unit receives data and position information from any of the devices, the calculation unit refers to the storage unit, identifies a plurality of users existing in an area corresponding to the received position information, and among the plurality of users Interest information common to at least some users is determined, and the common interest information and data are associated with each other and stored in the storage unit.

  In one aspect, a management program executed by a computer is provided. When the management program receives data and position information from any device, the management program refers to the position information of each user, identifies a plurality of users existing in the area corresponding to the received position information, and Based on the interest information indicating the interest of each user, the interest information common to at least some of the plurality of users is determined, and the common interest information and the data are stored in the storage unit in association with each other. , Cause the computer to execute the process.

  In one aspect, a management method executed by a computer is provided. In this management method, when the computer receives data and position information from any of the devices, the position information of each user is referred to and a plurality of users existing in the area corresponding to the received position information are specified. Based on the interest information indicating the interest of each of the plurality of users, the common interest information is determined for at least some of the plurality of users, and the common interest information and the data are associated with each other and stored To store.

  In one aspect, the data can be properly classified.

It is a figure which shows the management apparatus of 1st Embodiment. It is a figure which shows the example of the content delivery system of 2nd Embodiment. It is a figure which shows the hardware example of the delivery server of 2nd Embodiment. It is an example of the hardware of the terminal device of 2nd Embodiment. It is a figure which shows the example of software of 2nd Embodiment. It is a figure which shows the example of the user position table of 2nd Embodiment. It is a figure which shows the example of the interest profile table of 2nd Embodiment. It is a figure which shows the example of the content management table of 2nd Embodiment. It is a figure which shows the example of the content delivery management table of 2nd Embodiment. It is a flowchart which shows the example of a transmission process of the terminal device of 2nd Embodiment. It is a flowchart which shows the example of a classification | category of the delivery server of 2nd Embodiment. It is a flowchart which shows the example of a position notification of the terminal device of 2nd Embodiment. It is a flowchart which shows the example of a delivery of the delivery server of 2nd Embodiment. It is a figure which shows the example of registration of the interest information of 2nd Embodiment. It is a figure which shows the example of a delivery of 2nd Embodiment. It is a figure which shows the example of software of 3rd Embodiment. It is a figure which shows the landmark position table of 3rd Embodiment. It is a flowchart which shows the example of a classification | category of the delivery server of 3rd Embodiment. It is a figure which shows the example of software of 4th Embodiment. It is a figure which shows the example of the user position log | history table of 4th Embodiment. It is a flowchart which shows the example of a classification | category of the delivery server of 4th Embodiment. It is a flowchart which shows the example of determination by the position history of 4th Embodiment. It is a figure which shows the example of analysis of 4th Embodiment. It is a flowchart which shows the example of a delivery of the delivery server of 4th Embodiment. It is a figure which shows the example of the content delivery system of 5th Embodiment. It is a figure which shows the example of software of 5th Embodiment. It is a figure which shows the example of the http request header of 5th Embodiment. It is a figure which shows the example of the access history table of 5th Embodiment. It is a flowchart which shows the process example of the terminal device of 5th Embodiment. It is a flowchart which shows the example of a process of the delivery server of 5th Embodiment. It is a flowchart which shows the example of an update of the interest information of the delivery server of 5th Embodiment.

Hereinafter, the present embodiment will be described with reference to the drawings.
[First Embodiment]
FIG. 1 is a diagram illustrating a management apparatus according to the first embodiment. The information processing system according to the first embodiment includes a management device 1 and terminal devices 2, 2a, 2b, 2c, 2d, 2e, and 2f. The management device 1 receives and stores data such as images and moving images from each terminal device. The management device 1 distributes the received data or data obtained by processing the data for distribution to each terminal device. The management device 1 is an information processing device such as a server computer.

  The terminal devices 2, 2a, 2b, 2c, 2d, 2e, 2f are client devices used by a plurality of users. The terminal devices 2, 2a, 2b, 2c, 2d, 2e, 2f may be mobile phones, smartphones, tablet devices, or the like. The terminal device 2 is used by the user 3. The terminal device 2a is used by the user 3a. The terminal device 2b is used by the user 3b. The terminal device 2c is used by the user 3c. The terminal device 2d is used by the user 3d. The terminal device 2e is used by the user 3e. The terminal device 2f is used by the user 3f.

  The management device 1 is connected to the network 4. An access point 5 that relays wireless communication is connected to the network 4. The terminal devices 2, 2 a, 2 b, 2 c, 2 d, 2 e, 2 f have a wireless communication function and communicate with the management device 1 via the access point 5.

  The management device 1 includes a storage unit 1a and a calculation unit 1b. The storage unit 1a may be a volatile storage device such as a RAM (Random Access Memory) or a non-volatile storage device such as an HDD (Hard Disk Drive) or a flash memory. The calculation unit 1b may include a CPU (Central Processing Unit), a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), and the like. The calculation unit 1b may be a processor that executes a program. As used herein, the “processor” may include a set of multiple processors (multiprocessor).

  The storage unit 1a stores management information 6. The management information 6 is information in which user identification information (ID: IDentifier) is associated with user position information and interest information indicating a user's interest. It can also be said that the storage unit 1a stores user position information and user interest information in association with user identification information.

  The target of interest of the user can be considered in various categories such as soccer, baseball, music, and travel (the soccer target and the type of music can be further subdivided to register the target of interest). The position information is, for example, information on coordinates (for example, latitude and longitude) of a place where the user is currently staying. For example, the calculation unit 1b may periodically acquire identification information and current position information of each user from each terminal device, and update the position information of each user registered in the management information 6. The terminal device 2 has at least one of a GPS (Global Positioning System) function and a position information acquisition function using base station information of the access point 5, and acquires current position information using these functions.

  In the management information 6, for example, user position information “P1” and interest information “C1, C2” identified by the user ID “U1” are registered in association with the user ID “U1”. Here, the user ID “U1” is identification information of the user 3. The user ID “U2” is identification information of the user 3a. The user ID “U3” is identification information of the user 3b. The user ID “U4” is identification information of the user 3c. The management information 6 also includes the correspondence between the identification information of each of the users 3d, 3e, and 3f and the positional information and interest information of each of the users 3d, 3e, and 3f (not shown).

  The calculation unit 1b receives data and position information from any device. For example, each terminal device has an imaging function. Each terminal device transmits, to the management device 1, image data or moving image data obtained by capturing one scene of an event such as an event in accordance with a user operation. In addition, the organizer of the event (for example, sports game or exhibition) and the related parties (for example, athletes and management staff) capture the moving image of the event by each terminal device and manage the captured moving image. Assume that uploading to the device 1 and distribution from the management device 1 to each terminal device are permitted.

  For example, the user 3 operates the terminal device 2 so as to capture a scene of an event in which the user 3 participates. Then, the terminal device 2 captures the scene and generates image data D1. At this time, the terminal device 2 also generates position information P1 indicating the position where the data D1 is generated. As described above, the terminal device 2 can use the GPS function and the base station information of the access point 5 to acquire the position information P1. The user 3 operates the terminal device 2 so as to transmit the generated data D1 to the management device 1. Then, the terminal device 2 transmits the position information P1 and the data D1 to the management device 1. The calculation unit 1b receives the position information P1 and the data D1.

  The calculation unit 1b refers to the storage unit 1a and identifies a plurality of users existing in the area corresponding to the received position information. For example, the calculation unit 1b identifies the users 3, 3a, 3b, and 3c existing inside the circular region R1 having a predetermined radius with the position indicated by the received position information P1 as the center. The position information of each user is registered in the management information 6 of the storage unit 1a. For example, the calculation unit 1b detects based on the management information 6 that the position information “P1”, “P2”, “P3”, and “P4” are coordinates in the region R1. Then, the calculation unit 1b is indicated by user IDs “U1”, “U2”, “U3”, and “U4” associated with the position information “P1”, “P2”, “P3”, and “P4”, respectively. It can be determined that the users 3, 3a, 3b, and 3c exist inside the region R1.

  The computing unit 1b determines interest information common to at least some of the plurality of identified users. For example, the computing unit 1b determines interest information common to a predetermined proportion or more of a plurality of identified users. As an example, the ratio is 75%. Based on the management information 6, the calculation unit 1b determines interest information common to three or more users among the users 3, 3a, 3b, and 3c. According to the example of the management information 6, the interest information that satisfies this determination condition is the interest information C1. In this case, the calculation unit 1b obtains common interest information C1.

  Alternatively, when there are a plurality of pieces of interest information common to a predetermined number or more users, the calculation unit 1b may determine the interest information having the largest number of common users. For example, the predetermined ratio is 50%. According to the example of the management information 6, the interest information common to 50% or more users (two or more users) among the users 3, 3a, 3b, and 3c is the interest information C1 and C4. The number of users having the common interest information C1 is 4, and the number of users having the common interest information C4 is two. In this case, the interest information having the largest number of common users is the interest information C1. Accordingly, the calculation unit 1b obtains the interest information C1 as common interest information.

  The calculation unit 1b stores the determined common interest information and the received data in the storage unit 1a in association with each other. For example, the arithmetic unit 1b associates the common interest information C1 and the received data D1 and stores them in the storage unit 1a (adds a tag of interest information C1 to the data D1). In the above example, one piece of common interest information is obtained. For example, when there are a plurality of pieces of interest information common to a predetermined number of users 3, 3a, 3b, 3c, Common interest information may be associated with the data D1.

  The calculation unit 1b uses the interest information C1 associated with the data D1 to determine the distribution destination of the data D1 (or data obtained by processing the data D1 for distribution. The same applies hereinafter). For example, the calculation unit 1b distributes the data D1 to the terminal device used by the user identified by the user ID associated with the interest information C1 in the management information 6. The calculation unit 1b does not distribute the data D1 to terminal devices used by other users. For example, the calculation unit 1b can advertise an event held in the region R1 to the user 3d outside the region R1 by distributing the data D1 also to the terminal device 2d outside the region R1.

  According to the management device 1, when the data D1 and the position information P1 are received from the terminal device 2, the storage unit 1a is referred to, and the users 3, 3a existing in the region R1 corresponding to the received position information P1. , 3b, 3c are identified. The management device 1 determines interest information C1 common to a predetermined number or more of the users 3, 3a, 3b, and 3c. The management device 1 stores common interest information C1 and data D1 in association with each other in the storage unit 1a. Thereby, data can be classified appropriately.

  Here, there are various types of data uploaded from each user's terminal device, and if the data cannot be classified properly, there is a possibility that extra data that is not of interest to the user will be distributed to the user's terminal device. For example, if soccer-related data is distributed to a user who is not interested in soccer, the distributed user may feel annoyed.

  Therefore, when the management device 1 holds the position of each user and the information of interest, and receives data and location information from a terminal device of a certain user, the management device 1 identifies the peripheral user of the user and is common among the identified users. The target of interest is determined, and the received data is classified according to the determination result. This is because if a plurality of users having the same interest are gathered in one place, an event held at that place is considered highly likely to be related to the interest. For this reason, the management device 1 can appropriately classify the data D1 based on the interest information C1.

  For example, based on the interest information C1 associated with the data D1 and the management information 6, the management device 1 can narrow down the distribution destination of the data D1 to the user terminal device associated with the interest information C1. Moreover, it can suppress that data D1 is delivered to the terminal device of the user who is not interested in the content of data D1.

[Second Embodiment]
FIG. 2 is a diagram illustrating an example of a content distribution system according to the second embodiment. The content distribution system according to the second embodiment includes a distribution server 100 and terminal devices 200, 200a, 200b, and 300. The distribution server 100 is connected to the network 10. The network 10 is, for example, the Internet or a WAN (Wide Area Network). The network 10 may include a LAN (Local Area Network) connected to the Internet or WAN. Distribution server 100 may be connected to the LAN.

  Base stations 20 and 20 a are connected to the network 10. The base stations 20 and 20a are wireless access points. For example, the base stations 20 and 20a may be base stations for mobile communication. In that case, the base stations 20 and 20a may be connected to the network 10 via a network for mobile communication. The base stations 20 and 20a may be wireless LAN routers.

  The distribution server 100 is a server computer that distributes content to the terminal devices 200, 200 a, 200 b, 300. The distribution server 100 generates content for distribution by processing the content uploaded from the terminal devices 200, 200 a, 200 b, and 300 (such as image and video data), and sends the content to the terminal devices 200, 200 a, 200 b, and 300. To deliver. The distribution server 100 is an example of the management device 1 according to the first embodiment.

  The terminal devices 200, 200a, 200b, and 300 are portable client computers used by users. The terminal devices 200, 200a, 200b, and 300 may be smart terminals such as smartphones and tablet devices. The terminal devices 200, 200a, and 200b communicate with the distribution server 100 via the base station 20a. The terminal device 300 communicates with the distribution server 100 via the base station 20.

  The terminal device 200 is used by the user 50. The terminal device 200a is used by the user 50a. The terminal device 200b is used by the user 50b. The terminal device 300 is used by the user 60. Users 50, 50 a and 50 b stay at the event venue 30. The user 60 stays in a town 40 (for example, a station or a shopping street) away from the event venue 30. In the following description, event organizers and related parties (for example, sports players and management staff) take pictures of event videos and video images taken by each terminal device. And uploading from the distribution server 100 to each terminal device is permitted.

  FIG. 3 is a diagram illustrating a hardware example of the distribution server according to the second embodiment. The distribution server 100 includes a processor 101, a RAM 102, an HDD 103, an image signal processing unit 104, an input signal processing unit 105, a reading device 106, and a communication interface 107. Each unit is connected to the bus of the distribution server 100.

  The processor 101 controls information processing of the distribution server 100. The processor 101 may be a multiprocessor. The processor 101 is, for example, a CPU, DSP, ASIC, or FPGA. The processor 101 may be a combination of two or more elements of CPU, DSP, ASIC, FPGA, and the like.

  The RAM 102 is a main storage device of the distribution server 100. The RAM 102 temporarily stores at least part of an OS (Operating System) program and application programs to be executed by the processor 101. The RAM 102 stores various data used for processing by the processor 101.

  The HDD 103 is an auxiliary storage device of the distribution server 100. The HDD 103 magnetically writes and reads data to and from the built-in magnetic disk. The HDD 103 stores an OS program, application programs, and various data. The distribution server 100 may include other types of auxiliary storage devices such as flash memory and SSD (Solid State Drive), or may include a plurality of auxiliary storage devices.

  The image signal processing unit 104 outputs an image to the display 11 connected to the distribution server 100 in accordance with an instruction from the processor 101. As the display 11, a CRT (Cathode Ray Tube) display, a liquid crystal display, or the like can be used.

  The input signal processing unit 105 acquires an input signal from the input device 12 connected to the distribution server 100 and outputs it to the processor 101. As the input device 12, for example, a pointing device such as a mouse or a touch panel, a keyboard, or the like can be used.

  The reading device 106 is a device that reads a program and data recorded on the recording medium 13. As the recording medium 13, for example, a magnetic disk such as a flexible disk (FD) or an HDD, an optical disk such as a CD (Compact Disc) or a DVD (Digital Versatile Disc), or a magneto-optical disk (MO) is used. Can be used. Further, as the recording medium 13, for example, a non-volatile semiconductor memory such as a flash memory card can be used. For example, the reading device 106 stores the program and data read from the recording medium 13 in the RAM 102 or the HDD 103 in accordance with an instruction from the processor 101.

  The communication interface 107 communicates with other devices via the network 10. The communication interface 107 may be a wired communication interface or a wireless communication interface.

  FIG. 4 is a hardware example of the terminal device according to the second embodiment. The terminal device 200 includes a processor 201, a RAM 202, a flash memory 203, a wireless unit 204, an image signal processing unit 205, a display 205a, an input signal processing unit 206, an input device 206a, an audio signal processing unit 207, a microphone 207a, a speaker 207b, and an imaging. Unit 208 and GPS processing unit 209. Each unit is connected to the bus of the terminal device 200. The terminal devices 200a, 200b, and 300 can also be realized by the same hardware as the terminal device 200.

  The processor 201 controls information processing of the terminal device 200. The processor 201 may be a multiprocessor. The processor 201 is, for example, a CPU, DSP, ASIC, or FPGA. The processor 201 may be a combination of two or more elements among CPU, DSP, ASIC, FPGA, and the like.

  The RAM 202 is a main storage device of the terminal device 200. The RAM 202 temporarily stores at least part of an OS program and application programs to be executed by the processor 201. The RAM 202 stores various data used for processing by the processor 201.

  The flash memory 203 is an auxiliary storage device of the terminal device 200. The flash memory 203 stores an OS program, application programs, and various data.

The wireless unit 204 is a wireless communication interface that communicates with the base station 20a. The terminal device 200 may include a wired communication interface in addition to the wireless unit 204.
The image signal processing unit 205 outputs an image to the display 205a in accordance with a command from the processor 101. As the display 205a, for example, a liquid crystal display can be used.

  The input signal processing unit 206 acquires an input signal from the input device 206 a and outputs it to the processor 201. For example, a touch panel or a button can be used as the input device 206a.

  The audio signal processing unit 207 acquires an audio signal from the microphone 207a, performs predetermined signal conversion processing, and outputs audio data to the processor 201. Also, the audio signal processing unit 207 acquires audio data from the processor 201, performs predetermined signal conversion processing, and causes the speaker 207b to reproduce the audio.

The imaging unit 208 includes an image sensor, generates still image data or moving image data based on the image signal acquired from the image sensor, and outputs the image data to the processor 201.
The GPS processing unit 209 generates current position information based on a signal received from a GPS satellite and outputs the current position information to the processor 201.

FIG. 5 illustrates an example of software according to the second embodiment. Although the terminal device 200 is illustrated, the terminal devices 200a, 200b, and 300 also have the same functions as the terminal device 200.
The distribution server 100 includes a storage unit 110 and a server processing unit 120. The storage unit 110 is realized using a storage area secured in the RAM 102 or the HDD 103. The server processing unit 120 is realized by the processor 101 executing a program stored in the RAM 102.

  The storage unit 110 stores various types of information used for the processing of the server processing unit 120. The information stored in the storage unit 110 includes a user position table, an interest profile table, a content management table, and a content distribution management table.

  The user position table is information indicating the current position of the user. The interest profile table is information indicating an object of interest (sometimes referred to as an interest category) of the user. The content management table is information for managing the content distributed to each terminal device for each type according to the user's interest category. The content distribution management table is information for managing the distribution status of content.

  The server processing unit 120 communicates with the terminal devices 200, 200a, 200b, and 300 to generate and distribute content. The server processing unit 120 includes a content reception unit 121, a location management unit 122, a content generation unit 123, a content type determination unit 124, an interest profile management unit 125, and a distribution unit 126.

  The content receiving unit 121 receives content from the terminal device 200. The content received by the content receiving unit 121 from the terminal device 200 is, for example, image data or moving image data generated by the terminal device 200. The content may include position information indicating the position of the terminal device 200 (that is, the user 50) when the content is generated by the terminal device 200.

  The position management unit 122 notifies the position information based on the user ID and the position information that are intermittently notified from the terminal device 200 (for example, in a predetermined cycle) and the user position table stored in the storage unit 110. The position where the user 50 exists at the time of being managed is managed.

  The content generation unit 123 processes the content received by the content reception unit 121 from each terminal device, and generates content for distribution (sometimes referred to as advertisement content). The content generation unit 123 may generate advertising content from one content received from one terminal device, or may generate advertising content from a plurality of contents received from one terminal device. Or the content production | generation part 123 may produce | generate an advertisement content with the some content received from the some terminal device. The advertising content is, for example, information that introduces contents such as events to the user. The advertisement content may be information combining a predetermined character string and an image or a moving image.

  The content type determination unit 124 gives information of a type corresponding to the user's interest category to the advertisement content generated by the content generation unit 123. That is, the content type determination unit 124 classifies the advertisement content based on the information of the type. The content type determination unit 124 determines the type of the content (matches the type of the advertising content) based on the position information received from the terminal device 200 together with the content, the user position table, and the interest profile table. The content type determination unit 124 associates the advertising content created using the content with the determined type, and registers them in the content management table stored in the storage unit 110. The “type” information can also be referred to as a “tag”. In addition, it can be said that “type” information is given to the advertising content and “tagging” the advertising content.

  The interest profile management unit 125 manages the interest profile table stored in the storage unit 110. For example, when receiving an instruction to register / update the interest category of the user 50 from the terminal device 200, the interest profile management unit 125 registers / updates information on the interest category corresponding to the user ID of the user 50 in the interest profile table.

  The distribution unit 126 determines the distribution destination of the advertising content based on the content management table and the interest profile table, and distributes the advertising content. The distribution unit 126 collates the information on the type of advertisement content registered in the content management table with the information on the interest category of each user registered in the interest profile table, and determines the distribution destination of the advertisement content. For example, the distribution unit 126 determines whether or not there is advertising content for the user 50 at the timing when the user ID and the position information of the user 50 are received from the terminal device 200. The distribution unit 126 transmits the advertising content to the terminal device 200 when there is advertising content for the user 50. In this way, the delivery of information from the delivery server 100 to the terminal device 200 regardless of the request from the terminal device 200 may be referred to as push delivery. The distribution unit 126 manages the distributed advertisement content using the content distribution management table stored in the storage unit 110.

  The terminal device 200 includes a storage unit 210 and a client processing unit 220. The storage unit 210 is realized using a storage area secured in the RAM 202 or the flash memory 203. The client processing unit 220 is realized by the processor 201 executing a program stored in the RAM 202.

  The storage unit 210 stores various types of information used for the processing of the client processing unit 220. Information stored in the storage unit 210 includes content such as images and moving images generated by the terminal device 200, location information of the terminal device 200 measured by the client processing unit 220, advertisement content received from the distribution server 100, and the like.

  The client processing unit 220 communicates with the distribution server 100 to upload content generated by the terminal device 200, notify location information, receive advertising content, and the like. The client processing unit 220 includes a content transmission unit 221, a position detection unit 222, a position notification unit 223, and a reception unit 224.

  The content transmission unit 221 transmits the content generated by the terminal device 200 to the distribution server 100. The content transmission unit 221 transmits the current position information detected by the position detection unit 222 and the user ID of the user 50 to the distribution server 100 together with the content.

  For example, the user 50 operates the input device 206a to cause the imaging unit 208 to capture a scene of the event and generate content. The terminal device 200 displays the generated content on the display 205a. The user 50 can instruct the terminal device 200 to transmit the content to the distribution server 100 by browsing the displayed content and operating the input device 206a. The content transmission unit 221 transmits content to the distribution server 100 at a timing when a transmission instruction is received.

  The position detection unit 222 uses the GPS processing unit 209 to generate current position information of the terminal device 200. The position information is information indicating coordinates of latitude and longitude, for example. The position detection unit 222 detects the latest position when content is generated by the terminal device 200 and at a predetermined period regardless of whether content is generated, and generates position information.

The position notification unit 223 transmits the position information generated by the position detection unit 222 to the distribution server 100 together with the user ID of the user 50.
The receiving unit 224 receives the advertising content from the distribution server 100 and stores it in the storage unit 210. The receiving unit 224 displays an image corresponding to the advertising content on the display 205a in response to a user instruction input to the input device 206a, and presents the content of the advertising content to the user 50.

  FIG. 6 is a diagram illustrating an example of a user position table according to the second embodiment. The user position table 111 is stored in the storage unit 110. The user position table 111 includes items of user ID, position, and time.

  The user ID is registered in the user ID item. Position information is registered in the position item. The position information is latitude and longitude coordinates. The time is registered in the time item. For example, in the user position table 111, information that the user ID is “A”, the position is “(x1, y1)”, and the time is “2014/10/1 10:40:00” is registered. This indicates that the user identified by the user ID “A” was present at the position of latitude “x1” longitude “y1” at 10:40:00 on October 1, 2014.

  Here, the user ID “A” is the user ID of the user 50. The user ID “B” is the user ID of the user 50a. The user ID “C” is the user ID of the user 50b. The user ID “D” is the user ID of the user 60.

  FIG. 7 is a diagram illustrating an example of an interest profile table according to the second embodiment. The interest profile table 112 is stored in the storage unit 110. The interest profile table 112 includes items of user ID and interest category.

  The user ID is registered in the user ID item. Information on the object of interest (that is, interest category) is registered in the item of interest category. For example, information that the user ID is “A” and the interest category is “soccer, cooking” is registered in the interest profile table 112. This indicates that the objects of interest of the user 50 are “soccer” and “cooking”.

  FIG. 8 is a diagram illustrating an example of a content management table according to the second embodiment. The content management table 113 is stored in the storage unit 110. The content management table 113 includes items of content ID, type, position, and file name.

  In the content ID item, a content ID for identifying advertisement content is registered. In the type item, the type of advertisement content is registered. In the position item, position information indicating a position where the content used for the advertisement content (data such as an image or a moving image generated by each terminal device) is generated is registered. In the file name item, the file name of the advertisement content is registered.

  For example, in the content management table 113, the content ID is “Con # 1”, the type is “soccer”, the position is “(xa, ya)”, and the file name (including the directory name) is “/ content / foo”. Information is registered. This indicates that the advertising content identified by the content ID “Con # 1” is classified into the type “soccer”. In addition, the generation position of the content used to generate the advertisement content is latitude “xa” and longitude “ya”, and the advertisement content is identified by the file identified by the file name “foo” under the directory “/ content”. Indicates that it has been saved.

  FIG. 9 is a diagram illustrating an example of a content distribution management table according to the second embodiment. The content distribution management table 114 is stored in the storage unit 110. The content distribution management table 114 includes items of a user ID and distributed content.

  The user ID is registered in the user ID item. In the distributed content item, the distributed advertising content is registered. For example, information that the user ID is “A” and the distributed content is “Con # 1” is registered in the content distribution management table 114. This indicates that the advertising content indicated by the content ID “Con # 1” has been distributed to the user 50.

  If there are a plurality of distributed advertisement contents, a plurality of content IDs such as “Con # 1, Con # 3” are registered in the item of distributed contents. In the example of the content distribution management table 114, a hyphen “-” indicating no setting is illustrated for a user who has no distributed advertisement content.

Next, the processing procedure of the distribution server 100 and the terminal device 200 described above will be exemplified. The following description will be made using the terminal device 200, but the same applies to other terminal devices.
FIG. 10 is a flowchart illustrating an example of transmission processing of the terminal device according to the second embodiment. In the following, the process illustrated in FIG. 10 will be described in order of step number.

  (S11) The imaging unit 208 images one scene such as an event and generates content. For example, the content is image data or moving image data. The content may include audio data generated by the audio signal processing unit 207 at the time of imaging. The imaging unit 208 stores the generated content in the storage unit 210. For example, while viewing an event or the like, the user causes the terminal device 200 to convert the scene that he / she felt to see into image data.

(S12) The position detection unit 222 uses the GPS processing unit 209 to generate position information indicating the current position of the terminal device 200.
(S13) The content transmission unit 221 acquires the content generated by the imaging unit 208 and the position information generated by the position detection unit 222, and transmits them to the distribution server 100. The content transmission unit 221 may transmit the content including location information to the distribution server 100.

FIG. 11 is a flowchart illustrating an example of classification of distribution servers according to the second embodiment. In the following, the process illustrated in FIG. 11 will be described in order of step number.
(S21) The content receiving unit 121 receives content and position information from the terminal device 200.

  (S22) The content type determination unit 124 acquires the position information received by the content reception unit 121. Since the position information corresponds to the location where the content is generated by the terminal device 200, it can be said to be content generation location information.

  (S23) Based on the user position table 111, the content type determination unit 124 identifies a user within a predetermined range centered on the content generation location. For example, the shape of the region in the predetermined range is a circle. The area is specified by information on the radius of the circle. The radius can be determined according to the operation. For example, an average range in which an event is held is estimated in advance based on past event holding results, and is set to a radius that can cover the average range. For example, if the position information received from the terminal device 200 is coordinates (x1, y1), a circle with a radius r (for example, r = 50 m) centered on the coordinates (x1, y1) can be considered. In the user position table 111, the coordinates of the position of each user are registered. Accordingly, the content type determination unit 124 can search for a user ID corresponding to the coordinates inside the circle from the user position table 111 to identify users in a predetermined range area centered on the content generation location.

  (S24) The content type determination unit 124 determines whether or not the number of identified user IDs (that is, the number of users) is equal to or greater than a threshold value. If it is equal to or greater than the threshold value, the process proceeds to step S25. If it is less than the threshold value, the process proceeds to step S28. The threshold value can be determined according to the operation. As an example, it is conceivable that the threshold is 100 people.

  (S25) Based on the interest profile table 112, the content type determination unit 124 determines an interest category that is common to most of the user group (that is, a set of user IDs) specified in step S23. “Most” is, for example, a predetermined ratio or more of a plurality of users belonging to the user group specified in step S23. As an example, it can be considered that the predetermined ratio is 80%.

  (S26) The content type determination unit 124 determines whether an interest category common to most of the user group specified in step S23 has been determined. If so, the process proceeds to step S27. If it cannot be determined, the process proceeds to step S28. According to the specific example of step S25, when an interest category common to 80% or more of all users belonging to the specified user group can be determined, the common interest category can be determined. On the other hand, if the interest category common to 80% or more of all users belonging to the specified user group cannot be determined, the common interest category cannot be determined.

  (S27) The content type determination unit 124 determines the type of content received in step S21 according to the common interest category determined in step S25. For example, the content type determination unit 124 determines information indicating a common interest category as a content type. When there are a plurality of types of types to be associated, the content type determination unit 124 may determine a type having the maximum number of common users as the type of the content. Since the determined content type is associated with the advertising content as described later, the type can also be referred to as the advertising content type. Then, the process proceeds to step S29.

(S28) The content type determination unit 124 determines the content type as “unknown”.
(S29) The content generation unit 123 generates a file of advertising content by processing the content received by the content reception unit 121 for distribution, and stores the file in the storage unit 110. The content generation unit 123 assigns the content ID and file name to the advertisement content and registers them in the content management table 113 stored in the storage unit 110. The content generation unit 123 registers the position information received by the content reception unit 121 (corresponding to the content generation location in step S23) in the content management table 113 in association with the content ID of the advertisement content.

  (S30) The content generation unit 123 registers the type of advertising content determined by the content type determination unit 124 in step S27 or step S28 in the content management table 113 in association with the content ID of the advertising content.

  In this manner, the distribution server 100 assigns (tags) the advertisement content with a type corresponding to the user's interest category based on the positional information received together with the content from the terminal device 200.

  In addition, when generating advertisement content for a plurality of contents received from the terminal device 200, based on position information received together with any one of the plurality of contents (for example, the last received content), Tagging may be performed. Similarly, when generating advertisement content for a plurality of contents received from a plurality of terminal devices, the position information received together with any one of the plurality of contents (for example, the last received content) is similarly used. Tagging may be performed based on this.

  Alternatively, the distribution server 100 stores the content generation locations of a plurality of contents, and generates the advertisement content using the plurality of contents, based on the content generation locations of the plurality of contents, the area in step S23 The center of may be determined. For example, the center of gravity of a plurality of content generation locations may be regarded as the content generation location and used as the center used for the processing in step S23.

  Furthermore, the distribution server 100 may retry the type determination afterwards for the advertising content registered with the type “unknown” in step S30. For example, the distribution server 100 may execute steps S23 to S30 again after a predetermined time has elapsed for the advertisement content of the type “unknown”. In step S23, the position information set in the content management table 113 for the advertisement content can be used as the coordinates of the center of the area.

  In step S21, the user ID of the user 50 may be received in addition to the content and the position information. In that case, in step S25, the content type determination unit 124 may determine an interest category that is common to neighboring users from among the interest categories of the user 50 who uploaded the content. It is possible to speed up the determination process by preferentially handling the interest category of the user 50 who is the uploader and narrowing down the determination target of whether or not they are common to the interest category of the user 50. This is because, when there is a common interest category among the users specified in step S23, it is highly likely that the common interest category matches the interest category of the user 50 who uploaded the content.

  FIG. 12 is a flowchart illustrating a position notification example of the terminal device according to the second embodiment. In the following, the process illustrated in FIG. 12 will be described in order of step number. The following procedure is periodically executed by the terminal device 200.

(S31) The position detection unit 222 uses the GPS processing unit 209 to generate position information indicating the current position of the terminal device 200.
(S32) The position notification unit 223 notifies the distribution server 100 of the position information generated by the position detection unit 222 and the user ID of the user 50.

  (S33) The receiving unit 224 determines whether or not a push message has been received from the distribution server 100. If a push message has been received, the process proceeds to step S34. If no push message is received, the process ends.

  (S34) The receiving unit 224 outputs the push message received from the distribution server 100 to the display 205a, and displays the content of the push message. The push message includes advertising content distributed by the distribution server 100. Alternatively, the push message may include a URL (Uniform Resource Locator) for accessing the advertising content.

FIG. 13 is a flowchart illustrating a distribution example of the distribution server according to the second embodiment. In the following, the process illustrated in FIG. 13 will be described in order of step number.
(S41) The location management unit 122 receives the location information of the terminal device 200 and the user ID of the user 50 from the terminal device 200.

  (S42) The position management unit 122 operates the user position table 111 to update the position information and time corresponding to the user ID of the user 50. For the time, information on the current time is registered (time when position information is updated).

  (S 43) The distribution unit 126 acquires the interest category information corresponding to the user ID of the user 50 received by the location management unit 122 from the interest profile table 112. According to the example of the interest profile table 112, the user ID “A” of the user 50 is associated with the interest category “soccer, cooking”. Therefore, the distribution unit 126 acquires “soccer” and “cooking” as the interest category corresponding to the user ID of the user 50.

  (S44) The distribution unit 126 retrieves, from the content management table 113, advertisement content in which any of the user interest categories acquired in step S43 matches the type and the user position is within a certain range from the content generation location. Search for. The “content generation location” corresponds to information on a position associated with the advertisement content in the content management table 113. The shape of the region within a certain range is a circle. A certain range can be determined by the radius of this circle. For example, the radius is 1 km. For example, it is preferable that the region in the predetermined range in step S44 is wider than the region in the predetermined range in step S23. This is because it is more effective to distribute the advertising content not only to the event venue 30 but also to an area wider than the area where the event is held, such as the user 60 existing in the city 40. In other words, the event can be advertised to a user who is considered not to participate in the event, and the user who is considered not to participate in the event can be encouraged to participate in the event. On the other hand, the certain range is preferably limited to a range in which the user can go to the event. This is because if an advertisement is distributed to a user who is clearly difficult to participate in the event, such as being too far away, there is a risk that it will be annoying.

  (S45) The distribution unit 126 determines whether there is advertisement content that satisfies the condition of Step S44 (that is, for the user 50). If there is, the process proceeds to Step S46. If not, the process ends.

  (S46) The distribution unit 126 refers to the content distribution management table 114, and among the advertising content for the user 50 determined in step S45, there is an undistributed advertising content (undistributed content) for the user 50. It is determined whether or not. If there is, the process proceeds to step S47. If not, the process ends. For example, if the content IDs of all advertisement contents for the user 50 are registered in the content distribution management table 114 in association with the user ID “A”, there is no undistributed content for the user 50. If any of the content IDs of the advertising content for the user 50 is not registered in the content distribution management table 114 in association with the user ID “A”, there is undistributed content for the user 50.

(S47) The distribution unit 126 transmits a push message of undistributed content to the terminal device 200.
(S48) The distribution unit 126 operates the content distribution management table 114 to add the content ID of the advertising content transmitted in step S47 to the content distributed to the user 50.

  In this way, the distribution server 100 transmits undelivered advertising content for the user 50 to the terminal device 200 at the timing when the position information is notified from the terminal device 200. The distribution server 100 distributes the advertising content to the terminal device 300 in the same manner.

  In the above description, the distribution server 100 manages the position of the user 50 based on the user ID and the position information periodically notified from the terminal device 200. On the other hand, the terminal device 200 may transmit the user ID to the distribution server 100 in addition to the content and the position information in step S13 of FIG. Then, the distribution server 100 can grasp the current position of the user 50 even when the content is received from the terminal device 200 (the latest position of the user 50 can be registered in the user position table 111). At this timing, the distribution server 100 searches whether there is an advertisement content for the user 50, and may transmit the advertisement content to the terminal device 200 if there is.

  FIG. 14 is a diagram illustrating an example of interest information registration according to the second embodiment. The users 50, 50 a, 50 b, 60 can cause the distribution server 100 to register information on interest categories related to themselves using the terminal devices 200, 200 a, 200 b, 300. In addition, the users 50, 50 a, 50 b, 60 can update or delete the information on the interest category registered in the distribution server 100 using the terminal devices 200, 200 a, 200 b, 300.

  FIG. 15 is a diagram illustrating an example of distribution according to the second embodiment. For example, the users 50, 50a, and 50b stay at the event venue 30 and watch a soccer game. The user 50 can photograph the scene of the highlight of the soccer game using the terminal device 200. Further, the terminal device 200 generates the content C11 by shooting. The content C11 includes data such as images and moving images. The terminal device 200 uploads the content C11 and the position information to the distribution server 100. Similarly, the terminal device 200a uploads the content C12 generated at the event venue 30 and the position information to the distribution server 100. Similarly, the terminal device 200b uploads the content C13 generated at the event venue 30 and the position information to the distribution server 100.

  For example, the distribution server 100 generates the advertisement content C20 using the content C11. At this time, the type of the content C11 (the type of the advertising content C20) is determined based on the location information received together with the content C11, the user location table 111, and the interest profile table 112. In FIG. 15, the user position table 111 and the interest profile table 112 are combined and shown as one table (items other than the user ID belonging to both tables are denoted by reference numerals).

  Specifically, the distribution server 100 calculates a circular area R having a radius r (for example, 50 m) centered on the coordinates (x1, y1) indicated by the position information received together with the content C11. The coordinates belonging to the inside are specified from the user position table 111. For example, the coordinates (x1, y1), (x2, y2), (x3, y3) are the coordinates in the circular region R. The distribution server 100 determines whether or not the number of user IDs associated with the identified coordinates (that is, the number of users existing in the circular area R) is equal to or greater than a threshold value (for example, 100 people). For example, the distribution server 100 determines that there are users in the circular area R that are equal to or greater than a threshold value including the users 50, 50 a, and 50 b.

  Then, the distribution server 100 determines an interest category common to most of the users in the circular area R (for example, 80% or more users) based on the interest profile table 112. For example, among the user IDs of the users in the circle region R, most of the user IDs are associated with the interest category “soccer”. In this case, the distribution server 100 determines the type of the content C11 (that is, the type of the advertising content C20) as “soccer”. The distribution server 100 assigns a tag T1 indicating the type “soccer” to the advertising content C20 generated using the content C11. The distribution server 100 stores the advertisement content C20, the tag T1, and the position information indicating the coordinates (x1, y1) in association with each other.

  The distribution server 100 receives the user ID “D” of the user 60 and the position information P10 from the terminal device 300. The distribution server 100 refers to the interest profile table 112 and identifies the interest category “soccer” and “reading” of the user 60 (user ID “D”).

  The distribution server 100 refers to the content management table 113 and searches for advertisement content whose type is “soccer” or “reading”. Further, the distribution server 100 within the circular area within a certain range (for example, 1 km) from the position where the current position of the user 60 is associated with the advertisement content among the searched advertisement content (including the advertisement content C20). Identify certain advertising content. For example, the coordinates (x4, y4) of the user 60 are included in a circular area in a certain range centered on the coordinates (x1, y1) associated with the advertisement content C20. For this reason, the distribution server 100 specifies the advertising content C20 as the advertising content for the user 60. The distribution server 100 transmits a push message including the advertising content C20 to the terminal device 300 that is the transmission source of the user ID “D” of the user 60.

  In the description of FIG. 15, the distribution server 100 generates the advertisement content C20 using the content C11. However, the distribution server 100 generates the advertisement content C20 using a plurality of contents such as the contents C11, C12, and C13. May be. In this case, as described above, the position information associated with the advertisement content C20 may be the latest position among the generation positions of the contents C11, C12, and C13, or the center of gravity of the generation positions of the contents C11, C12, and C13. But you can.

  Incidentally, in recent years, smart terminals equipped with cameras have become widespread, and a network infrastructure capable of transmitting and receiving content having a relatively large capacity has been established. As a result, the user can generate content such as photos and videos on the spot on a smart terminal and upload it to a server computer on the network wherever they are. In other words, what is happening right now can be communicated in real time to people who are not there.

  Therefore, it is conceivable to use such seasonal contents for marketing. For example, in an event such as a sporting event or an exhibition, content uploaded by a user who has already participated in the event is distributed as an advertisement to other users who are in the vicinity of the event venue and are interested in the event. If other users watch advertisements and participate in events, sales of event tickets and related products can be increased.

  In this case, it is important to appropriately determine the type of content acquired from the user. This is because if the type of content cannot be determined properly, other users will receive advertisements that are not of interest to them, and will cause annoyance.

  In addition, when an advertisement is distributed to other users as described above, it is important to quickly determine the type of content acquired from the user (for example, in real time). This is because even if another user participates in an event by watching an advertisement, if the season timing of the event is missed, there is a possibility that sufficient satisfaction cannot be obtained.

  For example, it is conceivable that the user who uploads the content manually tags the content. However, if tagging is performed by the user's subjectivity, an appropriate tag may not be given. For example, if a user intentionally assigns a tag that is likely to attract the general public who is unrelated to the content, the reliability of the tag to be attached may be lowered, and proper classification of the content is not easy.

  Further, for example, it may be possible to cause another user to tag content uploaded by a certain user. However, even with this method, there still remains a possibility that a proper tag is not given by another user, so that proper classification of content is not easy. Furthermore, there is a high possibility that a time lag will occur before the content is tagged, which is inappropriate for the distribution of seasonal content.

  It is also conceivable that the subject of the uploaded content is identified by image analysis technology and a tag corresponding to the identified subject is given to the content. However, an operation for learning in advance an image pattern of a subject to be identified from a large amount of image data occurs. At this time, it is not easy to analyze what kind of image should be learned for the classification of the content generated on the spot. Moreover, even if individual subjects in the image can be recognized, it is not easy to determine the content type as a whole. For example, even if a runner is recognized from a certain image, it is not easy to determine what kind of event it relates to (for example, whether it is an Olympic sport or a national polity).

  Furthermore, if the location information of the terminal device that uploaded the content is found to be an athletic field, it may be possible to tag the content as “athletics”. However, track and field events are not always performed at track and field stadiums, and many facilities are used for various purposes such as soccer and rugby. For this reason, it is difficult to perform proper classification only from position information.

  In contrast, the distribution server 100 can appropriately classify the advertising content C20 using an interest category common to users existing in a predetermined area corresponding to the content generation location. This is because if there are a lot of users who share the same interest in one place, the events held at that place are likely to be related to the common interest. In addition, classification can be performed with higher reliability than left to the user's subjectivity. As in the case of analyzing image data, prior learning of image data or the like does not occur, so that classification can be performed efficiently. In addition, classification can be performed faster than analyzing image data itself.

  Furthermore, the distribution server 100 determines which users are targeted for distribution of the advertising content C20 based on the classified interest categories, thereby appropriately limiting the events to users who are considered interested in the event. Can be advertised. The distribution server can prevent a user who is not interested in an event from advertising the event, and does not give the user the troublesomeness of distributing an advertisement that is not of interest. That is, it is possible to improve the accuracy of determining the advertisement distribution destination.

[Third Embodiment]
Hereinafter, a third embodiment will be described. Items that differ from the second embodiment described above will be mainly described, and descriptions of common items will be omitted.

  In the second embodiment, an area (circle area) centered on the position where the content is generated by each terminal device is calculated, and the number of users estimated to participate in the event is specified. The method of the second embodiment is useful when the area where the event is held is unknown. On the other hand, information on the area where the event is held may be used. In the third embodiment, a function is provided that specifies the number of users estimated to be participating in an event based on information on a region where the event is held.

  Here, each device included in the content distribution system according to the third embodiment is the same as the content distribution system according to the second embodiment illustrated in FIG. Therefore, each element of the third embodiment is indicated by using the same name and code as those of the second embodiment. The third embodiment is different from the second embodiment in that the distribution server 100 holds information indicating the location of the event venue 30 in advance.

FIG. 16 is a diagram illustrating an example of software according to the third embodiment. The distribution server 100 includes a storage unit 110 and a server processing unit 120.
The storage unit 110 stores a landmark position table in addition to the information exemplified in the second embodiment. The landmark position table is facility information indicating the positions of facilities (landmarks) that can be event venues.

  The server processing unit 120 includes a content receiving unit 121, a location management unit 122, a content generation unit 123, an interest profile management unit 125, and a distribution unit 126 (the description of these functions is omitted). The server processing unit 120 includes a content type determination unit 124 a instead of the content type determination unit 124. The server processing unit 120 further includes a landmark management unit 127.

  The content type determination unit 124 a has a function of cooperating with the landmark management unit 127 in addition to the function of the content type determination unit 124. The landmark management unit 127 identifies the position and area information of the nearest landmark with respect to the position information notified from the terminal device 200. The content type determination unit 124a determines the type of content received from the terminal device 200 (the type of advertising content generated based on the content) based on the information specified by the landmark management unit 127.

  FIG. 17 is a diagram illustrating a landmark position table according to the third embodiment. The landmark position table 115 is stored in the storage unit 110. The landmark position table 115 includes items of landmark ID, name, center coordinates, and area.

  In the landmark ID item, a landmark ID for identifying the landmark is registered. In the name item, the name of the landmark is registered. In the center coordinate item, the coordinates of the center (or centroid) of the landmark area are registered. In the area item, coordinates of a plurality of vertices of the landmark area are registered.

  For example, in the landmark position table 115, the landmark ID is “LM # 1”, the name is “xxx stadium”, the center coordinate is “(lxa, lya)”, and the area is “[(lxa1, lya1), ( lxa2, lya2), (lxa3, lya3), (lxa4, lya4)] ”is registered. This is because the name of the landmark (for example, event venue 30) identified by the landmark ID “LM # 1” is “xxx stadium”, and the center coordinates of the area of the landmark are (lxa, lya), It indicates that the coordinates of the vertexes of the region are [(lxa1, lya1), (lxa2, lya2), (lxa3, lya3), (lxa4, lya4)]. In this case, for example, four line segments connecting the following four pairs of vertices are rectangles having four sides. The first is a pair of vertex (lxa1, lya1) and vertex (lxa2, lya2). The second is a pair of vertex (lxa2, lya2) and vertex (lxa3, lya3). The third is a pair of vertex (lxa3, lya3) and vertex (lxa4, lya4). The fourth is a pair of vertex (lxa4, lya4) and vertex (lxa1, lya1). The area within the rectangle is the landmark area (for example, the area of the event venue 30).

  Here, the procedures for uploading content and notifying location information by the terminal device 200 are the same as the procedures illustrated in FIGS. Further, the distribution procedure of the advertising content by the distribution server 100 is the same as the procedure illustrated in FIG. In the third embodiment, the content classification procedure by the distribution server 100 is different from that of the second embodiment.

  FIG. 18 is a flowchart illustrating a classification example of the distribution server according to the third embodiment. In the following, the process illustrated in FIG. 18 will be described in order of step number. Here, the third embodiment is different from the second embodiment in that steps S22a, S22b, and S22c are executed after step S22 described in FIG. The other steps S21, S22, S23 to S30 are the same as in the description of FIG. 11 (the content type determination unit 124a executes the same processing as the content type determination unit 124). Therefore, steps S22a to S22c will be described below, and descriptions of other steps will be omitted.

  (S22a) The content type determination unit 124a inquires of the landmark management unit 127 whether the content generation location is within any landmark area. Based on the landmark position table 115, the landmark management unit 127 identifies the landmark having the closest center coordinate from the content generation location. In the landmark position table 115, information on the center coordinates of each landmark is registered. Therefore, the landmark management unit 127 calculates the distance between the center coordinates of each landmark and the coordinates of the content generation location, and specifies the nearest landmark by specifying the center coordinate that minimizes the distance. Can do.

  (S22b) The landmark management unit 127 determines whether or not the coordinates of the content generation location are coordinates in the landmark area (landmark area) identified in step S22a. If the content generation location is in the landmark area, the content type determination unit 124a is responded to the effect that the content generation location is in the landmark area, and the process proceeds to step S22c. If the content generation location is not within the landmark area, the content type determination unit 124a responds that the content generation location is not within the landmark area, and the process proceeds to step S23. The processing after step S23 is the same as that in FIG. Here, the landmark area can be acquired from the area item of the landmark position table 115.

  (S22c) Based on the user position table 111, the content type determination unit 124a specifies a user ID (that is, a user in the landmark area) associated with the coordinates in the corresponding landmark area. In the user position table 111, coordinate information is registered in association with the user ID. Therefore, the content type determination unit 124a acquires the landmark area specified in step S22a from the landmark position table 115, and specifies the user ID associated with the coordinates in the area. Then, the process proceeds to step S24. The content type determination unit 124a performs the processing from step S24 onward based on the user ID specified in step S22c.

  As described above, when the content generation location is in the landmark area, the distribution server 100 executes step S22c instead of step S23 to identify the user who is estimated to be participating in the event. Accuracy can be increased. As a result, it is possible to further improve the accuracy of advertisement content classification.

[Fourth Embodiment]
Hereinafter, a fourth embodiment will be described. Items that differ from the second embodiment described above will be mainly described, and descriptions of common items will be omitted.

  In the second embodiment, the content type is determined based on the current (or latest) position information of each user. On the other hand, the fourth embodiment provides a function for determining the type of content based on the history of location information of each user.

  Here, the devices included in the content distribution system of the fourth embodiment are the same as those of the content distribution system of the second embodiment illustrated in FIG. Therefore, each element of the fourth embodiment is indicated by using the same name and code as those of the second embodiment. However, the fourth embodiment is different from the second embodiment in that the distribution server 100 manages the history of location information of each user and determines the type of content based on the history.

FIG. 19 illustrates an example of software according to the fourth embodiment. The distribution server 100 includes a storage unit 110 and a server processing unit 120.
The storage unit 110 stores a user position history table in addition to the information exemplified in the second embodiment. The user position history table is information indicating a history of past position information of each user. In the third embodiment, since the latest position information of each user can be managed by the user position history table, the storage unit 110 does not need to store the user position table 111. This is because the processing performed based on the user position table 111 in the second embodiment can be performed using the user position history table.

  The server processing unit 120 includes a content reception unit 121, a content generation unit 123, an interest profile management unit 125, and a distribution unit 126 (the description of these functions is omitted). However, the server processing unit 120 includes a location management unit 122 a instead of the location management unit 122. In addition, the server processing unit 120 includes a content type determination unit 124 b instead of the content type determination unit 124.

The position management unit 122 a manages the history of the user position information using the user position history table stored in the storage unit 110.
The content type determination unit 124b determines the type of content received from the terminal device 200 (the type of advertisement content generated based on the content) based on the user position history table.

  FIG. 20 is a diagram illustrating an example of a user position history table according to the fourth embodiment. The user position history table 116 is stored in the storage unit 110. The user position history table 116 includes items of time, user ID, and position.

  In the time item, the time at which the position information is recorded is registered. The user ID is registered in the user ID item. In the position item, coordinates indicating the position are registered. For example, in the user position history table 116, information of time “2014/10/1 10:40:00”, user ID “A”, and position “(x1, y1)” is registered. This indicates that the user 50 identified by the user ID “A” was present at the position indicated by the coordinates (x1, y1) on October 1, 2014 at 10:40:00.

  In the user position history table, position information of the same user may be registered in association with different times. For example, the position information corresponding to the user ID “A” is also registered at 10:41:00 on October 1, 2014.

  Here, the procedures for uploading content and notifying location information by the terminal device 200 are the same as the procedures illustrated in FIGS. In the fourth embodiment, the content classification procedure and the advertising content distribution procedure by the distribution server 100 are different from those of the second embodiment.

  FIG. 21 is a flowchart illustrating a classification example of the distribution server according to the fourth embodiment. In the following, the process illustrated in FIG. 21 will be described in order of step number. Here, the fourth embodiment is different from the second embodiment in that steps S26a and S26b are executed when No in step S24 described in FIG. 11 or No in step S26. . Other steps S21 to S23, S25, S27 to S30, Yes in step S24 and Yes in step S26 are the same as described in FIG. 11 (the content type determination unit 124b is the content type determination unit 124). The same processing is executed). Therefore, steps S26a and S26b will be described below, and descriptions of other steps will be omitted.

  (S26a) The content type determination unit 124b determines an interest category common to a plurality of users based on the user position history table 116 stored in the storage unit 110. Details of the processing will be described later.

  (S26b) The content type determination unit 124b determines whether or not a common interest category has been determined in step S26a. If so, the process proceeds to step S27. If it cannot be determined, the process proceeds to step S28.

  Thus, the distribution server 100 determines an interest category common to a plurality of users based on the user position history table 116 when the number of users specified in step S23 is smaller than the threshold.

  FIG. 22 is a flowchart illustrating a determination example based on the position history according to the fourth embodiment. In the following, the process illustrated in FIG. 22 will be described in order of step number. The following procedure corresponds to step S26a in FIG.

  (S51) The content type determination unit 124b divides the user location history for the past 30 minutes into time zones of 5 minutes each (there are divided into a total of 6 time zones). The content type determination unit 124b specifies a user who is within a predetermined range of the area around the content generation location (for example, within a 50 m radius centered at the content generation location) in each time slot. Although the time for tracing back the user position history is up to the past 30 minutes, other time (for example, the past 1 hour or 2 hours) may be used. Moreover, although it shall divide | segment into the time slot | zone of every 5 minutes, you may divide | segment into the time slot | zone of other lengths, such as every 10 minutes and every 15 minutes.

  (S52) The content type determination unit 124b determines whether or not the number of users specified in step S51 is greater than or equal to a threshold (for example, 100 people) in each time slot. If the number of users is greater than or equal to the threshold value in all time zones, the process proceeds to step S53. If the number of users is less than the threshold value in any time zone, the process proceeds to step S54.

  (S53) The content type determination unit 124b selects five interest categories of each user specified in step S51 for each time slot in order of the number of corresponding users. Then, the process proceeds to step S55.

  (S54) In the determination of step S52, the content type determination unit 124b excludes a time period older than the time period when the number of users was less than the threshold, and for each time period, the interest category of each user identified in step S51 is Five are selected in descending order of corresponding users. The reason why the time zone older than the time zone when the number of users is below the threshold is excluded is that the old time zone is considered to be the time zone before the event is held at the place. In steps S53 and S54, the number to be selected is five, but other numbers may be used.

  (S55) The content type determination unit 124b determines an interest category that is common to a plurality of time zones from among the interest categories identified in step S53 or step S54 (if it can be determined, the determination result of step S26a in FIG. 21) Becomes Yes). When there are a plurality of interest categories common to a plurality of time zones, the content type determination unit 124b selects the interest category having the largest number in common. If there is no interest category common to a plurality of time zones, the interest category cannot be determined (the determination result in step S26b of FIG. 21 is No).

  FIG. 23 is a diagram illustrating an analysis example of the fourth embodiment. The distribution server 100 executes the process of step S53 or step S55 of FIG. 22 based on the analysis table 117. The analysis table 117 stays in an area within a predetermined range centering on the content generation location for each time zone obtained by dividing 30 minutes from 11:00:00 to 11:29:29 in 5 minute increments. The interest categories common to a plurality of users are extracted.

  The analysis table 117 is stored in the storage unit 110. The analysis table 117 includes items of time zone and interest category. The time zone information is registered in the time zone item. In the interest category item, an interest category that is common to a plurality of users in a predetermined area centering on the content generation location is registered. In the analysis table 117, as an example, five common interest categories are registered from a large number of common interest categories. The sub-item “1” of the interest category item is the interest category having the largest number in common. The sub-item “2” is an interest category having the second largest common number. The sub-item “3” is an interest category having the third largest common number. The sub-item “4” is an interest category having the fourth largest common number. The sub-item “5” is an interest category having the fifth largest common number.

  For example, in the analysis table 117, for the time zone “11: 00: 11-11: 04: 59”, the interest categories common to the users are displayed in the order of the sub items “1” to “5”. “Soccer”, “Music”, “Baseball”, “Reading” and “Movie” are registered. This is because the interest category “soccer” was the most common among a plurality of users in a predetermined area centering on the content generation place between 11:00:00 and 11: 4: 59. Indicates. Similarly, the second is “music”, the third is “baseball”, the fourth is “reading”, and the fifth is “movie”. As described above, the distribution server 100 extracts the interest categories having a large number of common users in each time zone as the analysis table 117.

  Then, the distribution server 100 extracts from the analysis table 117 an interest category that is common to a plurality of time zones. According to the example of the analysis table 117, the interest category having the largest common number in a plurality of time zones is “music”. Therefore, the distribution server 100 specifies “music” as an interest category common to a plurality of time zones. In this case, in step S27 of FIG. 21, the distribution server 100 determines the content type as “music”.

  FIG. 24 is a flowchart illustrating a distribution example of the distribution server according to the fourth embodiment. In the following, the process illustrated in FIG. 24 will be described in order of step number. Here, the fourth embodiment is different from the second embodiment in that step S42a is executed instead of step S42 described in FIG. Other steps S41 and steps S43 to S48 are the same as those described in FIG. Therefore, in the following, step S42a will be described and description of other steps will be omitted. Step S42a is executed next to step S41.

  (S42a) The location management unit 122a adds the user ID, location information, and time of the user 50 to the user location history table 116. The time is registered with the current time information (the time when the position information was added). Then, the process proceeds to step S43.

  In this way, the distribution server 100 acquires a history of position information of each user and uses it for determination of the type of content. According to the distribution server 100, even when a large number of users are not interested in the event and are just in the event of an event held in an open place, Can be classified appropriately. For example, uploading content is appropriate for events where users are interested for a long time even if there are relatively many users switching over a relatively narrow range, such as playing music on the street. It becomes possible to classify.

[Fifth Embodiment]
Hereinafter, a fifth embodiment will be described. Items that differ from the second embodiment described above will be mainly described, and descriptions of common items will be omitted.

In the fifth embodiment, the distribution server provides a function for determining the user's interest category from the history of Web access by the user.
FIG. 25 is a diagram illustrating an example of a content distribution system according to the fifth embodiment. The content distribution system according to the fifth embodiment includes a distribution server 100, terminal devices 200, 200a, 200b, and 300, and a Web server 400. Distribution server 100 and Web server 400 are connected to network 10.

  In addition to the functions described in the second embodiment, the distribution server 100 has a proxy function that relays Web access from the terminal devices 200, 200a, 200b, and 300 to the Web server 400. The distribution server 100 has a function of determining a user's interest category based on information of Web content accessed by the terminal devices 200, 200a, 200b, and 300.

  The Web server 400 is a server computer that responds to an http response to an HTTP (Hyper Text Transfer Protocol) request. The http request transmitted by the terminal device 200, 200a, 200b, 300 is relayed by the distribution server 100. An http response from the Web server 400 is also sent to the terminal devices 200, 200 a, 200 b, 300 via the distribution server 100.

  For example, the terminal devices 200, 200a, 200b, and 300 execute software called a browser (or a Web browser) for browsing Web content. The user 50 causes the terminal device 200 to transmit an http request for acquiring Web content to be browsed to the distribution server 100 by performing an operation input according to a screen displayed on the display 205a by the browser of the terminal device 200. Can do. The distribution server 100 accesses the Web server 400 by proxy based on the http request received from the terminal device 200, and responds to the terminal device 200 with the http response received from the Web server 400. The browser of the terminal device 200 displays the Web content on the display 205a based on the http response.

  Here, the distribution server 100 is realized by the same hardware as the distribution server 100 illustrated in FIG. The Web server 400 is also realized by the same hardware as the distribution server 100.

FIG. 26 is a diagram illustrating an example of software according to the fifth embodiment. The distribution server 100 includes a storage unit 110 and a server processing unit 120.
The storage unit 110 further stores a Web access history table. The Web access history table is information indicating an access history to Web contents by each user.

  The server processing unit 120 includes a content reception unit 121, a location management unit 122, a content generation unit 123, a content type determination unit 124, and a distribution unit 126 (the description of these functions is omitted). However, the server processing unit 120 includes an interest profile management unit 125 a instead of the interest profile management unit 125. The server processing unit 120 further includes a proxy 128.

  The interest profile management unit 125a acquires the contents of Web access by the proxy 128, and records the access history for each user in the Web access history table. The interest profile management unit 125a determines the interest category of the corresponding user based on the Web content that has responded to the access history information. For example, it is conceivable that the interest profile management unit 125a analyzes the text information in the web content, extracts words included in the web content, and acquires an interest category related to the extracted words. For example, the storage unit 110 stores in advance information on correspondence between word patterns (such as combinations of extracted words) and interest categories. The interest profile management unit 125a can determine an interest category from a word pattern included in the Web content based on the information.

  The proxy 128 acts as a proxy for Web access by the terminal device 200. The proxy 128 provides the interest profile management unit 125a with information on an http request received from each terminal device and an http response received from the Web server 400.

  The client processing unit 220 of the terminal device 200 further includes a browser 225 and a user ID assigning unit 226. The browser 225 displays the web content corresponding to the http response that generated the http request on the display 205a.

  The user ID assigning unit 226 inserts the user ID of the user 50 into the http request generated by the browser 225. The user ID inserted in the http request is used to manage the web access history for each user by the interest profile management unit 125a.

  FIG. 27 is a diagram illustrating an example of an http request header according to the fifth embodiment. The http request header 226a illustrates the http request header after the user ID is inserted by the user ID assigning unit 226. The number given to the left side of the http request header 226a is a line number. According to the example of the http request header 226a, the user ID “A” of the user 50 is inserted in the fourth line.

  FIG. 28 is a diagram illustrating an example of an access history table according to the fifth embodiment. The web access history table 118 is stored in the storage unit 110. The web access history table 118 includes items of time, user ID, access URL, and interest category.

  In the time item, the time when the Web access was recorded is registered. The user ID is registered in the user ID item. In the access URL item, the URL of the access destination specified by the http request is registered. In the interest category item, the interest category determined for the Web content acquired from the access destination is registered.

  For example, information such as “2014/10/1 10:40:00”, user ID “A”, access URL “URL1”, and interest category “soccer” is registered in the Web access history table 118. The This is that an http response to an http request including the user ID “A” of the user 50 and specifying the access URL “URL1” was received from the Web server 400 on October 1, 2014 at 10:40:00. Indicates. In addition, the interest category determined from the Web content included in the http response is “soccer”.

Next, an interest category determination procedure for the user 50 by the distribution server 100 will be described. First, a processing example at the time of Web access by the terminal device 200 will be described.
FIG. 29 is a flowchart illustrating a processing example of the terminal device according to the fifth embodiment. In the following, the process illustrated in FIG. 29 will be described in order of step number.

  (S61) The browser 225 receives the access destination URL input by the user 50 using the input device 206a. The browser 225 generates an http request for acquiring the Web content of the access destination URL.

(S62) The user ID assigning unit 226 assigns the user ID of the user 50 to the header of the http request generated by the browser 225, and transmits the user ID to the distribution server 100.
(S63) The browser 225 receives an http response from the distribution server 100.

  (S64) The browser 225 determines the status indicated by the http response. If the status indicates success, the process proceeds to step S65. If the status indicates an error, the process proceeds to step S66.

(S65) The browser 225 displays a Web page (Web content) on the display 205a based on the http response. Then, the process ends.
(S66) The browser 225 displays an error message on the display 205a based on the http response. Then, the process ends.

FIG. 30 is a flowchart illustrating a processing example of the distribution server according to the fifth embodiment. In the following, the process illustrated in FIG. 30 will be described in order of step number.
(S71) The proxy 128 receives an http request from the terminal device 200.

(S72) The proxy 128 acquires the user ID of the user 50 from the http request received by the proxy 128.
(S73) The proxy 128 attempts to acquire Web content from the Web server 400 indicated by the URL included in the http request. The proxy 128 can transmit an http request to the web server 400 and acquire the web content included in the http response from the web server 400.

  (S74) The proxy 128 determines whether or not Web content has been acquired. If acquired, the process proceeds to step S76. If not, the process proceeds to step S75.

  (S75) The proxy 128 transmits an http response including the status of “error” to the terminal device 200 (request source) that is the transmission source of the http request. Then, the process ends.

  (S76) The interest profile management unit 125c determines whether the Web content acquired from the Web server 400 includes text information. If the text information is included, the process proceeds to step S77. If no text information is included, the process proceeds to step S79.

  (S77) The interest profile management unit 125c determines the interest category of the user 50 by analyzing text information included in the Web content. As described above, for example, the interest profile management unit 125a is included in the Web content based on the information stored in advance in the storage unit 110 by storing information on the correspondence between the word pattern and the interest category. Interest categories can be determined from word patterns.

  (S78) The interest profile management unit 125c associates the user ID acquired in Step S72, the current time, the information on the access destination URL, and the interest category determined in Step S77, and associates the Web access history table 118. Register with.

  (S79) The proxy 128 transmits the http response (including Web content) received from the Web server 400 to the terminal device 200 (request source) that is the transmission source of the http request. At this time, the status included in the http response indicates “success”.

  In this way, the distribution server 100 records the information on the interest category of the user 50 every time a web access is received from the terminal device 200. The distribution server 100 updates the interest category of each user in the interest profile table 112 based on the Web access history table 118.

FIG. 31 is a flowchart illustrating an example of updating the interest information of the distribution server according to the fifth embodiment. In the following, the process illustrated in FIG. 31 will be described in order of step number.
(S81) The interest profile management unit 125c selects a user ID that is an update target of the interest category from among the user IDs registered in the interest profile table 112.

  (S82) The interest profile management unit 125c refers to the Web access history table 118, and acquires Web access history for the past year corresponding to the selected user ID. In addition, although it was set as the past one year as an example, other periods, such as 6 months, may be sufficient.

  (S83) The interest profile management unit 125c identifies an interest category whose appearance frequency is a certain ratio (for example, 80% or more) in the Web access history acquired for the selected user ID.

  (S84) The interest profile management unit 125c updates the interest category of the selected user ID in the interest profile table 112 with the information on the interest category specified in step S83.

  In this way, the distribution server 100 periodically updates the interest category of the user 50 based on the information on the web access history of the user 50. The distribution server 100 can appropriately determine the change in the object of interest of the user 50 and determine the advertisement content to be distributed to the user 50 by daily access to the Web content by the user 50.

  Note that the information processing of the first embodiment can be realized by causing the computing unit 1b to execute a program. The information processing according to the second to fifth embodiments can be realized by causing the processor 101 to execute a program. The program can be recorded on a computer-readable recording medium 13.

  For example, the program can be distributed by distributing the recording medium 13 on which the program is recorded. Alternatively, the program may be stored in another computer and distributed via a network. For example, the computer stores (installs) a program recorded in the recording medium 13 or a program received from another computer in a storage device such as the RAM 102 or the HDD 103, and reads and executes the program from the storage device. Good.

With respect to the embodiments including the first to fifth embodiments, the following additional notes are disclosed.
(Additional remark 1) The memory | storage part which memorize | stores the user's positional information and the interest information which shows the object of the said user's interest,
When data and position information are received from any device, the storage unit is referenced to identify a plurality of users existing in the area corresponding to the received position information,
An arithmetic unit that determines interest information common to at least some of the plurality of users, and stores the common interest information and the data in association with each other in the storage unit;
A management device.

(Supplementary Note 2) The storage unit stores facility information indicating the locations of a plurality of facilities,
The calculation unit determines the region based on the received location information and the facility information.
The management device according to attachment 1.

(Additional remark 3) The said calculating part is the management apparatus of Additional remark 1 which determines the range which is below a predetermined distance from the position shown by the received said positional information as said area | region.
(Additional remark 4) The said calculating part acquires the said common interest information in the said area | region in association with each of several time zones, and time zones differ among the said common interest information corresponding to each time zone. However, the management apparatus according to any one of appendices 1 to 3, wherein common interest information is further determined, and the interest information is associated with the data according to a determination result.

  (Additional remark 5) When the said calculating part determines the common interest information, any one of Additional remarks 1 thru | or 4 which determines the interest information common to the user more than the predetermined ratio among these users. The management apparatus as described in.

  (Additional remark 6) The said calculating part determines the said common interest information matched with the said data based on the number of common users, when there are multiple types of the said common interest information, Any one of Additional remark 1 thru | or 5 The management apparatus as described in.

(Appendix 7) The device can access information stored in other devices,
The management device according to any one of appendices 1 to 6, wherein the calculation unit determines the interest information of a user who uses the device based on information accessed by the device.

  (Additional remark 8) When the said calculating part receives the information which shows any user from the transmission origin apparatus, with reference to the said memory | storage part, based on the said interest information of the said user, it transmits to the said transmission origin apparatus. The management device according to any one of appendices 1 to 7, wherein the data to be determined is determined.

  (Additional remark 9) The said calculating part transmits to the said transmission origin apparatus based on the 1st positional information received with the said data, and the 2nd positional information of the user who utilizes the said transmission origin apparatus. The management device according to appendix 8, which determines data.

(Supplementary Note 10) When data and position information are received from any device, referring to the position information of each user, a plurality of users existing in an area corresponding to the received position information are specified,
Based on the interest information indicating the interest of each of the plurality of users, the common interest information is determined for at least some of the plurality of users, and the common interest information is associated with the data. Stored in the storage unit,
A management program that causes a computer to execute processing.

(Appendix 11) The computer
When receiving data and position information from any of the devices, with reference to the position information of each user, identify a plurality of users existing in the area according to the received position information,
Based on the interest information indicating the interest of each of the plurality of users, the common interest information is determined for at least some of the plurality of users, and the common interest information is associated with the data. Stored in the storage unit,
Management method.

DESCRIPTION OF SYMBOLS 1 Management apparatus 1a Storage part 1b Arithmetic unit 2, 2a, 2b, 2c, 2d, 2e, 2f Terminal apparatus 3, 3a, 3b, 3c, 3d, 3e, 3f User 4 Network 5 Access point 6 Management information R1 area

Claims (6)

A storage unit that stores location information of the user and interest information indicating an object of interest of the user;
When data and position information are received from any device, the storage unit is referenced to identify a plurality of users existing in the area corresponding to the received position information,
An arithmetic unit that determines interest information common to at least some of the plurality of users, and stores the common interest information and the data in association with each other in the storage unit;
A management device. The storage unit stores facility information indicating the locations of a plurality of facilities,
The management device according to claim 1, wherein the calculation unit determines the area based on the received position information and the facility information.   The calculation unit acquires the common interest information in the region in association with each of a plurality of time zones, and is common even if the time zones are different among the common interest information corresponding to each time zone. The management apparatus according to claim 1, further determining interest information, and associating the interest information with the data according to a determination result. The device is accessible to information stored in other devices;
The management device according to claim 1, wherein the calculation unit determines the interest information of a user who uses the device based on information accessed by the device. When receiving data and position information from any of the devices, with reference to the position information of each user, identify a plurality of users existing in the area according to the received position information,
Based on the interest information indicating the interest of each of the plurality of users, the common interest information is determined for at least some of the plurality of users, and the common interest information is associated with the data. Stored in the storage unit,
A management program that causes a computer to execute processing. Computer
When receiving data and position information from any of the devices, with reference to the position information of each user, identify a plurality of users existing in the area according to the received position information,
Based on the interest information indicating the interest of each of the plurality of users, the common interest information is determined for at least some of the plurality of users, and the common interest information is associated with the data. Stored in the storage unit,
Management method.

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