JP2016162399A - User attribute estimation device, user attribute estimation system, portable terminal, and user attribute estimation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve the estimation accuracy of the attribute information of a user.SOLUTION: A user attribute estimation device 2 includes: an attribute information storage part 20 for storing the attribute information of a user; a terminal information reception part 21 for receiving terminal information related to a portable terminal 1b or the user of the portable terminal 1b and proximity terminal information related to a portable terminal 1a in close proximity to the portable terminal 1b or the user of the portable terminal 1a from the portable terminal 1b; an extraction part 22 for extracting the attribute information of the user of the portable terminal 1a indicated by the proximity terminal information received by the terminal information reception part 21 from the attribute information storage part 20; and an attribute estimation part 23 for estimating the attribute information of the user of the portable terminal 1b indicated by the terminal information received by the terminal information reception part 21 on the basis of the attribute information of the user of the portable terminal 1a extracted by the extraction part 22, and for storing the attribute information in the attribute information storage part 20.SELECTED DRAWING: Figure 4

Description

  The present invention relates to a user attribute estimation device, a user attribute estimation system, a mobile terminal, and a user attribute estimation method for estimating user attribute information.

  2. Description of the Related Art Conventionally, a recommendation system that distributes recommendation information according to a user's hobbies and preferences is known. For example, in the information distribution system described in Patent Document 1 below, attribute information of a user of a mobile terminal is estimated based on the action history of the mobile terminal, and information to be distributed to the mobile terminal is based on the estimated attribute information of the user. The selection is disclosed.

JP 2010-262482 A

  However, in the information distribution system, for example, a mobile terminal newly participating in the system does not have an action history or has a small amount of action history information. When estimating user attribute information based on such behavior history, there is a problem that the accuracy of estimating the user attribute information is lowered. Since the information distribution system selects information to be distributed based on the user attribute information, if the accuracy of the user attribute information estimation is low, appropriate recommendation information may not be distributed to the user. There is.

  Therefore, the present invention has been made in view of such problems, and provides a user attribute estimation device, a user attribute estimation system, a mobile terminal, and a user attribute estimation method that can improve the estimation accuracy of user attribute information. The purpose is to do.

  In order to solve the above-described problem, a user attribute estimation device according to the present invention includes a storage unit that stores user attribute information, terminal information related to the user of the mobile terminal or the mobile terminal, and another mobile terminal that is close to the mobile terminal. Terminal information receiving means for receiving from the mobile terminal the proximity terminal information related to the proximity terminal or the user of the proximity terminal, and the attribute information of the user of the proximity terminal indicated by the proximity terminal information received by the terminal information receiving means The attribute information of the user of the portable terminal indicated by the terminal information received by the extraction means extracted from the storage means and the terminal information receiving means is estimated and stored based on the attribute information of the user of the neighboring terminal extracted by the extraction means Attribute estimation means stored in the means.

  According to such a user attribute estimation device, first, terminal information and proximity terminal information are received from the mobile terminal by the terminal information receiving means. Next, the attribute information of the user of the proximity terminal indicated by the received proximity terminal information is extracted from the storage means by the extraction means. Next, attribute information of the user of the portable terminal indicated by the received terminal information is estimated by the attribute estimation unit based on the extracted attribute information of the user of the proximity terminal and stored in the storage unit. In general, users of mobile terminals that are close to each other have an intimate relationship. In many cases, the attribute information between users who are intimate relations are identical or similar. By adopting the above configuration, the user attribute estimation device can estimate the attribute information of the user of the portable terminal based on the attribute information of the user of the proximity terminal. For example, even when there is no information such as an action history related to the mobile terminal or the user of the mobile terminal or the amount of information is small, the mobile terminal is based on the attribute information of the user of the proximity terminal that is intimately related to the user of the mobile terminal The user's attribute information can be estimated with higher accuracy. That is, the user attribute estimation device can improve the estimation accuracy of user attribute information.

  Moreover, in the user attribute estimation apparatus of this invention, an attribute estimation means is good also as estimating based on the relationship information of the said user and user of a portable terminal contained in the attribute information of the user of a proximity terminal. With this configuration, the attribute information of the user of the mobile terminal can be estimated further based on the relationship between the user of the proximity terminal and the user of the mobile terminal, so that the accuracy of estimating the attribute information of the user is further improved. be able to.

  In the user attribute estimation device of the present invention, the attribute estimation means may estimate the position information included in the user terminal attribute information based on the position information included in the user attribute information of the proximity terminal. Good. With this configuration, for example, the position information included in the attribute information of the user of the mobile terminal can be estimated with higher accuracy by using the position information included in the attribute information of the user of the proximity terminal. In addition, for example, even when the mobile terminal does not have a function of acquiring position information, the position information included in the attribute information of the user of the mobile terminal can be obtained by using the position information included in the attribute information of the user of the proximity terminal. Can be estimated. Thereby, even a mobile terminal that does not have a function of acquiring position information can receive a service using the position information.

  Further, in the user attribute estimation device of the present invention, a context estimation unit that estimates a context based on attribute information estimated by the attribute estimation unit, a processing unit that performs processing based on the context estimated by the context estimation unit, May be further provided. By adopting such a configuration, the context is estimated based on the attribute information of the user of the mobile terminal estimated with high accuracy, and thus the context is estimated with high accuracy. And since a process is performed based on the accurately estimated context, for example, a process more useful to the user is performed, so that convenience for the user is improved.

  Moreover, in order to solve the said subject, the user attribute estimation system of this invention is a user attribute estimation system containing a portable terminal and a user attribute estimation apparatus, Comprising: A portable terminal detects the proximity | contact of another portable terminal Means, the mobile terminal or the mobile terminal user's own terminal information, and the proximity terminal that is another mobile terminal detected by the detection means or the proximity terminal information related to the user of the mobile terminal in the user attribute estimation device. Terminal information transmitting means for transmitting, and attribute information receiving means for receiving the attribute information of the user of the mobile terminal from the user attribute estimating apparatus, the user attribute estimating apparatus, storage means for storing the user attribute information, The terminal information receiving means for receiving the local terminal information and the proximity terminal information from the mobile terminal, and the proximity indicated by the proximity terminal information received by the terminal information receiving means The extraction means for extracting the attribute information of the terminal user from the storage means, and the user attribute information of the portable terminal indicated by the own terminal information received by the terminal information receiving means, the user attributes of the neighboring terminal extracted by the extraction means Attribute estimation means for estimating based on information, and attribute information transmission means for transmitting attribute information of the user of the portable terminal estimated by the attribute estimation means to the portable terminal.

  According to such a user attribute estimation system, first, the proximity of another mobile terminal (proximity terminal) is detected by the detection means of the mobile terminal. Next, the terminal information transmitting means of the portable terminal transmits the local terminal information and the proximity terminal information to the user attribute estimation device. Next, the terminal information receiving unit of the user attribute estimation device receives the local terminal information and the proximity terminal information from the portable terminal. Next, the attribute information of the user of the proximity terminal indicated by the received proximity terminal information is extracted from the storage means by the extraction means of the user attribute estimation device. Next, the attribute estimation means of the user attribute estimation device estimates the attribute information of the user of the portable terminal indicated by the received own terminal information based on the extracted attribute information of the user of the proximity terminal. Next, the attribute information transmitting means of the user attribute estimation device transmits the estimated attribute information of the user of the mobile terminal to the mobile terminal. Next, the attribute information receiving unit of the mobile terminal receives the attribute information of the user of the mobile terminal from the user attribute estimation device. In general, users of mobile terminals that are close to each other have an intimate relationship. In many cases, the attribute information between users who are intimate relations are identical or similar. By adopting the above configuration, the user attribute estimation device can estimate the attribute information of the user of the portable terminal based on the attribute information of the user of the proximity terminal. For example, even when there is no information such as an action history related to the mobile terminal or the user of the mobile terminal or the amount of information is small, the mobile terminal is based on the attribute information of the user of the proximity terminal that is intimately related to the user of the mobile terminal The user's attribute information can be estimated with higher accuracy. That is, the user attribute estimation device can improve the estimation accuracy of user attribute information. In addition, the mobile terminal can receive (acquire) the attribute information of the user of the mobile terminal accurately estimated from the user attribute estimation device simply by transmitting the terminal information and the proximity terminal information to the user attribute estimation device. it can.

  In the user attribute estimation system of the present invention, the portable terminal performs a context estimation unit that estimates a context based on attribute information received by the attribute information reception unit, and a process based on the context estimated by the context estimation unit. Processing means to perform may be further provided. With this configuration, the context is estimated with high accuracy because the context is estimated based on the user attribute information of the mobile terminal estimated with high accuracy by the user attribute estimation device. And since a process is performed based on the accurately estimated context, for example, a process more useful to the user is performed, so that convenience for the user is improved.

  Moreover, in order to solve the said subject, the portable terminal of this invention was detected by the detection means which detects the proximity of another portable terminal, the own terminal information regarding the said portable terminal or the user of the said portable terminal, and the detection means. Proximity terminal that is another portable terminal or proximity terminal information related to the user of the proximity terminal is transmitted to the user attribute estimation device, and the terminal information transmission means transmits the own terminal information and the proximity terminal information. Attribute information receiving means for receiving, from the user attribute estimation device, the attribute information of the user of the portable terminal indicated by the own terminal information, which is estimated based on the attribute information of the user of the neighboring terminal indicated by the neighboring terminal information. , Context estimation means for estimating the context based on the attribute information received by the attribute information reception means, and context estimation means Comprising a processing unit that performs processing based on the context which is, the.

  According to such a portable terminal, first, the proximity of another portable terminal (proximity terminal) is detected by the detection means. Next, the terminal information transmitting means transmits the local terminal information and the proximity terminal information to the user attribute estimation device. Next, the attribute information receiving unit estimates the user's own information estimated from the user attribute estimation device based on the attribute information of the user of the neighboring terminal indicated by the neighboring terminal information as a response to the transmission of the own terminal information and the neighboring terminal information. The attribute information of the user of the portable terminal indicated by the terminal information is received. Next, the context is estimated by the context estimation unit based on the received attribute information. Next, processing based on the estimated context is performed by the processing means. In general, users of mobile terminals that are close to each other have an intimate relationship. In many cases, the attribute information between users who are intimate relations are identical or similar. The user attribute estimation device can estimate the attribute information of the user of the mobile terminal based on the attribute information of the user of the proximity terminal. For example, even when there is no information such as an action history related to the mobile terminal or the user of the mobile terminal or the amount of information is small, the mobile terminal is based on the attribute information of the user of the proximity terminal that is intimately related to the user of the mobile terminal The user's attribute information can be estimated with higher accuracy. That is, the user attribute estimation device can improve the estimation accuracy of user attribute information. Then, the portable terminal adopts the above configuration, and simply transmits the user terminal information and the proximity terminal information to the user attribute estimation device, and the user attribute information of the portable terminal accurately estimated from the user attribute estimation device can be obtained. Can be received (acquired). Further, in the mobile terminal, the context is estimated based on the attribute information of the user of the mobile terminal estimated with high accuracy, and thus the context is estimated with high accuracy. And since a process is performed based on the accurately estimated context, for example, a process more useful to the user is performed, so that convenience for the user is improved.

  By the way, the present invention can be described as an invention of a user attribute estimation apparatus and a user attribute estimation system as described above, and can also be described as an invention of a user attribute estimation method as follows. This is substantially the same invention only in different categories, and has the same operations and effects.

  That is, the user attribute estimation method according to the present invention is a user attribute estimation method executed by a user attribute estimation device including storage means for storing user attribute information, and includes terminal information related to a mobile terminal or a user of the mobile terminal. And the proximity information received in the terminal information receiving step and the terminal information receiving step of receiving from the mobile terminal the proximity terminal information related to the proximity terminal which is another mobile terminal close to the mobile terminal or the user of the proximity terminal The extraction step of extracting the attribute information of the user of the proximity terminal indicated by the terminal information from the storage means, and the proximity terminal extracted in the extraction step of the attribute information of the user of the portable terminal indicated by the terminal information received in the terminal information reception step An attribute estimation step of estimating based on the attribute information of the user and storing in the storage means

  Moreover, the user attribute estimation method according to the present invention is a user attribute estimation method executed by a user attribute estimation system including a mobile terminal and a user attribute estimation device including a storage unit that stores user attribute information. A detection step in which the mobile terminal detects the proximity of another mobile terminal, the mobile terminal is a mobile terminal or local terminal information relating to the user of the mobile terminal, and a proximity terminal that is another mobile terminal detected in the detection step Alternatively, a terminal information transmission step for transmitting proximity terminal information related to a user of the proximity terminal to the user attribute estimation device, and a terminal information reception step for the user attribute estimation device to receive the local terminal information and the proximity terminal information from the portable terminal. And the user attribute estimation device receives the attribute information of the user of the proximity terminal indicated by the proximity terminal information received in the terminal information reception step. Extracting from the storage means, and the user attribute estimating device uses the attribute information of the user of the portable terminal indicated by the own terminal information received in the terminal information receiving step, and the attribute of the user of the neighboring terminal extracted in the extracting step An attribute estimation step that estimates based on information, an attribute information transmission step in which the user attribute estimation device transmits attribute information of the user of the mobile terminal estimated in the attribute estimation step to the mobile terminal, and the mobile terminal Receiving attribute information of the user of the terminal from the user attribute estimation device.

  The user attribute estimation method according to the present invention is a user attribute estimation method executed by a mobile terminal, and includes a detection step of detecting the proximity of another mobile terminal and the mobile terminal or the user of the mobile terminal. The terminal information and the terminal information transmission step for transmitting to the user attribute estimation device, the proximity terminal information regarding the proximity terminal which is another portable terminal detected in the detection step or the user of the proximity terminal, and the terminal information transmission step As a response to the transmission of the terminal information and the proximity terminal information, the user attribute estimation device estimates the user terminal of the mobile terminal indicated by the self terminal information, based on the attribute information of the user of the proximity terminal indicated by the proximity terminal information. Attribute information receiving step for receiving attribute information and context information based on the attribute information received in the attribute information receiving step. Includes a context estimation step of estimating bets, a processing step of performing processing based on the estimated context in the context estimating step.

  According to the present invention, it is possible to improve the estimation accuracy of user attribute information.

It is a conceptual diagram of the user attribute estimation system which concerns on embodiment of this invention. It is a figure which shows the hardware constitutions of the portable terminal and user attribute estimation apparatus which concern on embodiment of this invention. It is a figure explaining the situation of a personal digital assistant and user attribute estimating device in explaining a user attribute estimating system concerning a 1st embodiment of the present invention. It is a functional block diagram of the user attribute estimation system which concerns on embodiment of this invention. It is a figure which shows the example of a table of the attribute information stored in an attribute information storage part. It is a sequence which shows the process (user attribute estimation method) performed with the user attribute estimation system which concerns on 1st Embodiment of this invention. It is a sequence which shows the process (recommendation method) performed with the user attribute estimation system which concerns on 1st Embodiment of this invention. It is a figure explaining the condition of the portable terminal and user attribute estimation apparatus in describing the user attribute estimation system which concerns on 2nd Embodiment of this invention. It is a sequence which shows the process (user attribute estimation method) performed with the user attribute estimation system which concerns on 2nd Embodiment of this invention.

  Hereinafter, preferred embodiments of a user attribute estimation device, a user attribute estimation system, a mobile terminal, and a user attribute estimation method according to the present invention will be described in detail with reference to the drawings. In the description of the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted.

  FIG. 1 is a schematic diagram of a user attribute estimation system 3 including a mobile terminal 1 and a user attribute estimation device 2 according to the present embodiment. As shown in FIG. 1, the user attribute estimation system 3 includes one or more mobile terminals (hereinafter collectively referred to as a mobile terminal 1) and a user attribute estimation device 2.

  The mobile terminal 1 is an information processing terminal such as a mobile phone, a smartphone, a tablet terminal, a PDA (Personal Digital Assistant), or a personal computer. The mobile terminal 1 is used (operated) by a user who is a holder of the mobile terminal 1, a user of the mobile terminal 1, a contractor of the mobile terminal 1, or the like. The portable terminal 1 is composed of hardware such as a CPU. FIG. 2 is a diagram illustrating an example of a hardware configuration of the mobile terminal 1 (and the user attribute estimation device 2). As shown in FIG. 2, the portable terminal 1 physically includes a CPU 100, a RAM 101 and a ROM 102 as main storage devices, an input / output device 103 such as a display, a communication module 104, an auxiliary storage device 105, and the like. It is configured as.

  The function of each functional block of the portable terminal 1 shown in FIG. 4 described later is the input / output device under the control of the CPU 100 by reading predetermined computer software on the hardware such as the CPU 100 and the RAM 101 shown in FIG. 103, the communication module 104, and the auxiliary storage device 105 are operated, and data is read and written in the RAM 101.

  The user attribute estimation device 2 is an information processing terminal such as a server computer, a personal computer, a mobile phone, a smartphone, a tablet terminal, or a PDA. The user attribute estimation device 2 is configured by hardware such as a CPU. FIG. 2 is a diagram illustrating an example of a hardware configuration of the user attribute estimation device 2 (and the mobile terminal 1). As shown in FIG. 2, the user attribute estimation device 2 physically includes a CPU 100, a RAM 101 and a ROM 102 as main storage devices, an input / output device 103 such as a display, a communication module 104, an auxiliary storage device 105, and the like. It is configured as a computer system.

  The functions of each functional block of the user attribute estimation device 2 shown in FIG. 4 to be described later are entered under the control of the CPU 100 by reading predetermined computer software on the hardware such as the CPU 100 and the RAM 101 shown in FIG. This is realized by operating the output device 103, the communication module 104, and the auxiliary storage device 105, and reading and writing data in the RAM 101.

  The portable terminal 1 and the user attribute estimation device 2 can be connected to each other via a network or the like, and perform information processing as a system by transmitting and receiving data to and from each other. In the user attribute estimation system 3, the user attribute estimation device 2 estimates user attribute information of each mobile terminal 1 included in the user attribute estimation system 3 and manages the estimated user attribute information.

  User attribute information is information related to user attributes (profiles), and specific examples include a basic profile, a terminal profile, a time profile, a location profile, and a friendship profile (relationship information). The basic profile includes a user's name, occupation, gender, age, blood type, hobbies, dating status, and usable languages. The terminal profile includes a telephone number, an e-mail address, a BLE (Bluetooth (registered trademark) Low Energy) MAC (Media Access Control) address, a WLAN (Wireless Local Area Network) MAC address, and the like. The time profile is a user's holiday, work day, and the like. A location profile is a user's home (location information), work location (location information), route between home / work location (location information), home nearest station (location information), nearest station (of Position information), and frequently visited places (position information). The friend profile includes a family (various information regarding), a friend (various information regarding), a company colleague (various information regarding), and a work relationship (various information regarding).

  The user attribute estimation device 2 appropriately transmits managed user attribute information to the mobile terminal 1. Then, the mobile terminal 1 provides a service to the user of the mobile terminal 1 using the user attribute information received from the user attribute estimation device 2.

[First Embodiment]
FIG. 3 is a diagram for explaining a situation of the mobile terminal 1 and the user attribute estimation device 2 for explaining the user attribute estimation system 3 according to the first embodiment of the present invention. As shown in FIG. 3, the user attribute estimation system 3 according to the first embodiment includes, in addition to the user attribute estimation device 2, two mobile terminals 1, a mobile terminal 1 a and a mobile terminal 1 b. Here, the attribute information of the user of the portable terminal 1a is estimated in advance in the user attribute estimation device 2, and the estimated attribute information of the user of the portable terminal 1a is managed in the user attribute estimation device 2 (specifically). Specifically, it is stored in the attribute information storage unit 20 described later). On the other hand, the attribute information (part) of the user of the mobile terminal 1b is not estimated in advance in the user attribute estimation device 2, and the user attribute information (part) of the user of the mobile terminal 1b is the user attribute estimation device 2. It is not managed in Then, as shown in FIG. 3, it is assumed that the mobile terminal 1a and the mobile terminal 1b are close to each other (for example, within 5 m).

  FIG. 4 is a functional block diagram of the mobile terminal 1b and the user attribute estimation device 2 included in the user attribute estimation system 3 according to the first embodiment. The mobile terminal 1a has the same functional blocks as the mobile terminal 1b. As shown in FIG. 4, the mobile terminal 1b includes a detection unit 10 (detection unit), a terminal information transmission unit 11 (terminal information transmission unit), an attribute information reception unit 12 (attribute information reception unit), an attribute information storage unit 13, a context. An estimation unit 14 (context estimation unit) and a processing unit 15 (processing unit) are included. 4, the user attribute estimation device 2 includes an attribute information storage unit 20 (storage unit), a terminal information reception unit 21 (terminal information reception unit), an extraction unit 22 (extraction unit), and an attribute estimation unit 23 ( Attribute estimation means) and attribute information transmission unit 24 (attribute information transmission means). The mobile terminal 1b and the user attribute estimation device 2 are each composed of a plurality of devices, and each functional block is distributed and arranged in each device, and they operate integrally by communicating with each other. There may be.

  Hereinafter, each functional block of the portable terminal 1b illustrated in FIG. 4 will be described.

  The detection unit 10 detects the proximity of the mobile terminal 1 a that is another mobile terminal 1. The proximity of the mobile terminal 1a means that the mobile terminal 1a exists near the mobile terminal 1b (for example, within a predetermined distance of 5 m), or that the mobile terminal 1a approaches the mobile terminal 1b (for example, the mobile terminal 1b The radius centered on the position enters a circle with a predetermined distance of 5 m). Specifically, the detection unit 10 uses the communication module 104 to detect a short-range wireless radio wave such as Bluetooth (registered trademark) or WiFi (registered trademark) emitted from the mobile terminal 1a, thereby detecting the mobile terminal 1a. Detect the proximity of. In addition, the detection unit 10 may detect the proximity of the mobile terminal 1a by using a microphone that is the input / output device 103, a BLE peripheral mode, an LTE (Long Term Evolution) Direct technology, or the like.

  When detecting the proximity of the mobile terminal 1a (proximity terminal), the detection unit 10 acquires information (proximity terminal information) related to the mobile terminal 1a or the user of the mobile terminal 1a. For example, short-range radio waves emitted from the mobile terminal 1a include identification information (for example, MAC address) of the mobile terminal 1a and identification information (for example, user ID) of the user of the mobile terminal 1a. The detection unit 10 of the portable terminal 1b acquires the identification information included in the sensed radio wave. In addition, the mobile terminal 1b stores in advance table information in which the identification information of the mobile terminal 1a and the identification information of the user of the mobile terminal 1a are associated with each other. You may acquire the identification information of the user of the portable terminal 1a linked | related with the identification information of the acquired portable terminal 1a. The detection unit 10 outputs the acquired proximity terminal information to the terminal information transmission unit 11.

  The detection unit 10 may detect (acquire) data of various sensors provided in the mobile terminal 1. Specific examples of sensor data detected by the detection unit 10 include location information by GPS (Global Positioning System), information on cell IDs in mobile communication, and short-range wireless such as Bluetooth (registered trademark) and WiFi (registered trademark). Radio waves, modem communication information, barometric pressure by barometer, air temperature by thermometer, illuminance by illuminometer, and usage status of applications installed in portable terminal 1. The detection unit 10 may periodically detect sensor data, or may detect sensor data when a new subscription is made to a service provided by the user attribute estimation system 3. Sensor data may be detected based on an instruction of an installed application. The detection unit 10 outputs the detected sensor data to the terminal information transmission unit 11 and the context estimation unit 14. The detection unit 10 may store the detected sensor data in a database (not shown) in the mobile terminal 1.

  The terminal information transmission unit 11 transmits (uploads) information related to the mobile terminal 1b or the user of the mobile terminal 1b (own terminal information) and the proximity terminal information input from the detection unit 10 to the user attribute estimation device 2. The own terminal information includes, for example, identification information (for example, a MAC address) of the portable terminal 1b and identification information (user ID) of the user of the portable terminal 1b. The timing at which the terminal information transmission unit 11 transmits its own terminal information and proximity terminal information to the user attribute estimation device 2 may be periodic or even when an instruction is received from an application installed in the mobile terminal 1. Good.

  The terminal information transmission unit 11 may also transmit the sensor data input from the detection unit 10 (or the sensor data stored in the database in the portable terminal 1 by the detection unit 10) to the user attribute estimation device 2. Good. The sensor data transmitted by the terminal information transmission unit 11 includes information related to the mobile terminal 1 or the user of the mobile terminal 1, and the user attribute estimation device 2 uses the received information on the sensor data based on the information. The mobile terminal 1 that is the detection source and the user of the mobile terminal 1 can be determined.

  The attribute information receiving unit 12 receives the attribute information of the user of the mobile terminal 1 b from the user attribute estimation device 2 and stores it in the attribute information storage unit 13. The attribute information storage unit 13 stores attribute information of the user of the mobile terminal 1b.

  The context estimation unit 14 estimates the context based on the attribute information received by the attribute information reception unit 12. More specifically, the context estimation unit 14 extracts the attribute information of the user of the mobile terminal 1b received by the attribute information reception unit 12 and stored in the attribute information storage unit 13, and extracts the extracted attribute information and the detection unit The context is estimated based on sensor data input from 10 (or sensor data stored in the database in the mobile terminal 1 by the detection unit 10). The context is a context in the context / awareness technology, and is information indicating a context, environment, situation, state, or the like where the mobile terminal 1b or the user of the mobile terminal 1b is placed. The context is information indicating “when”, “where”, “with whom”, “what”, and the like. The timing at which the context estimation unit 14 estimates the context may be when the attribute information is received by the attribute information reception unit 12 or when the position information of the mobile terminal 1 has changed, or a nearby terminal appears. It may be at a regular time, may be periodic, or may be when an instruction is received from an application installed in the mobile terminal 1. The context estimation unit 14 outputs the estimated context to the processing unit 15.

  The context estimation by the context estimation unit 14 uses estimation by a general context awareness technique. For example, the context estimation unit 14 extracts the attribute information of the user of the mobile terminal 1b as “home location information (latitude and longitude): 35.xxx, 139.yyy”, and the input sensor data is “current When the position information (latitude and longitude) is 35.xxx, 139.yyy, and the current time is midnight, the context is estimated as “the user of the mobile terminal 1b is currently sleeping at home”.

  The processing unit 15 performs processing based on the context estimated (input) by the context estimation unit 14. For example, the processing unit 15 may acquire recommendation information corresponding to the estimated context, and display the acquired recommendation information on a display that is the input / output device 103, thereby presenting it to the user of the mobile terminal 1b. When acquiring the recommendation information, the processing unit 15 transmits (uploads) the context to a recommendation server that is another server device via the network, and receives the recommendation information corresponding to the context from the recommendation server via the network ( Acquisition). In this case, the recommendation server stores a typical behavior pattern of the user for each user of the mobile terminal 1 as a table, and a recommendation engine describing a rule for performing the recommendation stores the typical behavior pattern. Refer to the table and make a recommendation. For example, when there is “a user of the mobile terminal 1b often goes to drink after 18:00 on a work day” as a typical behavior pattern, the recommendation engine gives a user a work day of 16 to the user of the mobile terminal 1b. Make recommendations at the bar around the time.

  The processing unit 15 may return the processing result based on the context to the application installed in the mobile terminal 1 or may transmit the processing result to another server device via a network. The timing at which the processing unit 15 performs processing may be when the context is estimated by the context estimation unit 14, when the position information of the mobile terminal 1 is changed, or when a nearby terminal appears. It may be regular or when an instruction is given from an application installed in the mobile terminal 1.

  Then, each functional block of the user attribute estimation apparatus 2 shown in FIG. 4 is demonstrated.

  The attribute information storage unit 20 stores user attribute information. FIG. 5 is a diagram illustrating a table example of attribute information stored in the attribute information storage unit 20. As shown in the example of the table in FIG. 5, each item (large item / small item) includes one or more data (components). The attribute information storage unit 20 stores user attribute information as shown in FIG. 5 for each user. For example, the attribute information storage unit 20 stores the user identification information and the user attribute information in association with each other. Further, for example, the attribute information storage unit 20 may store the identification information of the mobile terminal 1 and the attribute information of the user of the mobile terminal 1 in association with each other. The user attribute information stored in the attribute information storage unit 20 may be manually registered by the user or may be registered by the user attribute estimation device 2.

  The terminal information receiving unit 21 receives the local terminal information and the proximity terminal information from the mobile terminal 1b. The terminal information receiving unit 21 outputs the received own terminal information to the attribute estimating unit 23 and outputs the received neighboring terminal information to the extracting unit 22.

  The terminal information receiving unit 21 further receives sensor data from the portable terminal 1b. The terminal information reception unit 21 outputs the received sensor data to the attribute estimation unit 23. The terminal information receiving unit 21 may store the received sensor data in a database (not shown) in the user attribute estimation device 2.

  The extraction unit 22 extracts from the attribute information storage unit 20 the attribute information of the user of the portable terminal 1a that is the proximity terminal indicated by the proximity terminal information received (input) by the terminal information reception unit 21. The extraction unit 22 outputs the extracted attribute information of the user of the mobile terminal 1 a to the attribute estimation unit 23.

  For example, when the identification information of the portable terminal 1a is input as the proximity terminal information, the extraction unit 22 stores the identification information of the portable terminal 1 and the attribute information of the user of the portable terminal 1 in association with each other. 20, user attribute information stored in association with the input identification information of the mobile terminal 1 a is extracted. For example, when the identification information of the portable terminal 1a is input as the proximity terminal information, the extraction unit 22 stores the identification information of the portable terminal 1 and the identification of the user of the portable terminal 1 stored in the user attribute estimation device 2 in advance. The identification information of the user of the portable terminal 1a associated with the input identification information of the portable terminal 1a is acquired from the table information associated with the information, and the user identification information and the attribute information of the user are stored in association with each other. The attribute information of the user of the portable terminal 1a stored in association with the acquired identification information of the user of the portable terminal 1a may be extracted from the attribute information storage unit 20 thus obtained.

  Further, for example, when the identification information of the user of the portable terminal 1a is input as the proximity terminal information, the extraction unit 22 receives the attribute information storage unit 20 in which the user identification information and the attribute information of the user are stored in association with each other. You may extract the attribute information of the user of the portable terminal 1a stored in association with the input identification information of the user of the portable terminal 1a. Further, for example, when the identification information of the user of the portable terminal 1 a is input as the proximity terminal information, the extraction unit 22 stores the identification information of the user of the portable terminal 1 stored in the user attribute estimation device 2 in advance and the portable terminal 1. The identification information of the portable terminal 1a associated with the input identification information of the user of the portable terminal 1a is acquired from the table information associated with the identification information of the portable terminal 1a, and the identification information of the portable terminal 1 and the user of the portable terminal 1 are acquired. The attribute information of the user stored in association with the acquired identification information of the mobile terminal 1a may be extracted from the attribute information storage unit 20 that is stored in association with the attribute information.

  The attribute estimation unit 23 obtains the attribute information of the user of the portable terminal 1b indicated by the own terminal information received (input) by the terminal information receiving unit 21, and the attribute information of the user of the portable terminal 1a that is the proximity terminal extracted by the extraction unit 22 Estimate based on the attribute information and store it in the attribute information storage unit 20. The attribute estimation unit 23 outputs the estimated attribute information of the user of the mobile terminal 1 a to the attribute information transmission unit 24.

  Specifically, the attribute estimation unit 23 first identifies the user of the mobile terminal 1b based on the own terminal information input from the terminal information receiving unit 21. For example, when the identification information of the portable terminal 1b is input as the own terminal information, the attribute estimation unit 23 stores the identification information of the portable terminal 1 and the identification of the user of the portable terminal 1 stored in the user attribute estimation device 2 in advance. The identification information of the user of the portable terminal 1b associated with the input identification information of the portable terminal 1b is acquired from the table information associated with the information, and the user of the portable terminal 1b is specified based on the acquired identification information. . For example, when the identification information of the user of the portable terminal 1b is input as the self-terminal information, the attribute estimation unit 23 specifies the user of the portable terminal 1b based on the identification information.

  Next, the attribute estimation unit 23 estimates the specified attribute information of the user of the mobile terminal 1b based on the attribute information of the user of the mobile terminal 1a extracted by the extraction unit 22. For example, the attribute estimation unit 23 may estimate the specified attribute information of the user of the mobile terminal 1b as the attribute information of the user of the mobile terminal 1a. That is, the attribute estimation unit 23 uses the specified attribute information of the user of the mobile terminal 1b (for example, location information of the user of the user of the mobile terminal 1b) as attribute information of the user of the mobile terminal 1a (for example, the user of the mobile terminal 1a). It may be estimated that the location information of the home is.

  The attribute estimation unit 23 estimates the attribute information of the user of the portable terminal 1b based on the relationship information (friendship profile) between the user and the user of the portable terminal 1b included in the attribute information of the user of the portable terminal 1a. Also good. Moreover, the attribute estimation part 23 may estimate the positional information contained in the attribute information of the user of the portable terminal 1b based on the positional information contained in the attribute information of the user of the portable terminal 1a.

  For example, when the relationship information between the user and the user of the mobile terminal 1b included in the attribute information of the user of the mobile terminal 1a is “family”, the attribute estimation unit 23 is the attribute information of the user of the mobile terminal 1b. The “home location information” is estimated to be the same as the “home location information” that is the user's attribute information of the mobile terminal 1a, and the “friendship relationship” that is the user's attribute information of the mobile terminal 1b is the “mobile terminal 1a”. "Family place" is estimated to be the same as "Frequently visited place" which is the attribute information of the user of the portable terminal 1a. For example, when the relationship information between the user and the user of the mobile terminal 1b included in the attribute information of the user of the mobile terminal 1a is “colleague”, the attribute estimation unit 23 sets the attribute information of the user of the mobile terminal 1b. Is assumed to be the same as the “work location” that is the attribute information of the user of the mobile terminal 1a, and the “friendship relationship” that is the attribute information of the user of the mobile terminal 1b is assumed to be “the user of the mobile terminal 1a” Is a colleague. " For example, when the relationship information between the user and the user of the mobile terminal 1b included in the attribute information of the user of the mobile terminal 1a is “friend”, the attribute estimation unit 23 sets the attribute information of the user of the mobile terminal 1b. Is a friend with the user of the mobile terminal 1a, and “where to go” that is the attribute information of the user of the mobile terminal 1b is the attribute information of the user of the mobile terminal 1a. It is presumed that it is the same as “a place to go often”

  The attribute estimation unit 23 receives the sensor data of the portable terminal 1b input from the terminal information reception unit 21 (or the sensor data of the portable terminal 1b stored in the database in the user attribute estimation device 2 by the terminal information reception unit 21). Based on the above, the attribute information of the user of the mobile terminal 1b may be estimated, and the estimated attribute information may be stored in the attribute information storage unit 20. For example, the attribute estimation unit 23 may estimate the position information at 2 o'clock in the night as the position information of the home based on the history of position information in the sensor data of the mobile terminal 1b, or within one week. Location information for staying for 4 or 5 days or more may be used as home location information. In addition, for example, the attribute estimation unit 23 may estimate a day of the week that does not go to the work place as a holiday based on a history of position information in the sensor data of the mobile terminal 1b. In addition, for example, the attribute estimation unit 23 finds at least 2 days in the week at 2 o'clock at home based on the location information history and proximity terminal information in the sensor data of the mobile terminal 1b. You may estimate the user of the proximity terminal which was made as a family.

  The attribute estimation unit 23 receives the sensor data of the portable terminal 1b input from the terminal information reception unit 21 (or the sensor data of the portable terminal 1b stored in the database in the user attribute estimation device 2 by the terminal information reception unit 21). Based on the user attribute information stored by the attribute information storage unit 20, the user attribute information of the mobile terminal 1b may be estimated, and the estimated attribute information may be stored in the attribute information storage unit 20. For example, the attribute estimation unit 23 is based on the history of position information and proximity terminal information in the sensor data of the mobile terminal 1b, and information on the work location in the user attribute information, but the work location of each other is different. A user of the mobile terminal 1 who has been in the vicinity for one hour or more at either work location may be estimated as a work relationship. Further, for example, the attribute estimation unit 23 has the same work location based on the location information history and proximity terminal information in the sensor data of the mobile terminal 1b, and information on the work location in the user attribute information. Thus, the user of the portable terminal 1 who has been in the vicinity for more than two days a week at work may be estimated as a colleague.

  The attribute information transmission unit 24 transmits the attribute information of the user of the mobile terminal 1b estimated (input) by the attribute estimation unit 23 to the mobile terminal 1b.

  The user attribute estimation device 2 may further include a context estimation unit 25 (not shown) and a processing unit 26 (not shown) having the same functions as the context estimation unit 14 and the processing unit 15 included in the mobile terminal 1b. . The context estimation unit 25 estimates the context based on the attribute information estimated by the attribute estimation unit 23. The processing unit 26 performs processing based on the context estimated by the context estimation unit 25. Detailed processing contents of the context estimation unit 25 and the processing unit 26 are the same as those of the context estimation unit 14 and the processing unit 15 included in the mobile terminal 1b, and thus description thereof is omitted.

  Next, processing of the user attribute estimation method in the user attribute estimation system 3 according to the first embodiment will be described using the sequence diagram shown in FIG. As a premise, it is assumed that the attribute information storage unit 20 of the user attribute estimation device 2 includes “friendship profile: friend with the mobile terminal 1b” as attribute information of the user of the mobile terminal 1a.

  First, the sensor information detected by the detection unit 10 of the portable terminal 1a is uploaded to the user attribute estimation device 2 by the terminal information transmission unit 11 of the portable terminal 1a (step S1). Next, the sensor information uploaded in S1 is received by the terminal information receiving unit 21 of the user attribute estimating device 2, and the attribute information of the user of the portable terminal 1a is obtained by the attribute estimating unit 23 of the user attribute estimating device 2. Estimated (step S2). Next, the attribute information transmitting unit 24 of the user attribute estimating device 2 transmits (downloads) the user attribute information estimated in S2 to the portable terminal 1a (step S3), and the attribute information receiving unit 12 of the portable terminal 1a. And is stored in the attribute information storage unit 13 of the portable terminal 1a. The above processes of S1 to S3 are periodically performed.

  Here, if the mobile terminal 1b newly subscribes to the service of the user attribute estimation system 3 (step S4), the sensor information detected by the detection unit 10 of the mobile terminal 1b by the terminal information transmission unit 11 of the mobile terminal 1b. Data is uploaded to the user attribute estimation device 2 (step S5). Next, the sensor information uploaded in S5 is received by the terminal information receiving unit 21 of the user attribute estimating device 2, and the attribute information of the user of the portable terminal 1b is obtained by the attribute estimating unit 23 of the user attribute estimating device 2. It is estimated (step S6). Next, the attribute information transmitting unit 24 of the user attribute estimating device 2 transmits (downloads) the user attribute information estimated in S6 to the portable terminal 1b (step S7), and the attribute information receiving unit 12 of the portable terminal 1b. And is stored in the attribute information storage unit 13 of the portable terminal 1b. The above processes of S5 to S7 are periodically performed. However, at this stage, the attribute information storage unit 20 of the user attribute estimation device 2 does not include “friendship profile: friend with the mobile terminal 1a” as the attribute information of the user of the mobile terminal 1b.

  Here, if the detection unit 10 of the mobile terminal 1b detects the proximity of the mobile terminal 1a (step S8, detection step), the sensor data detected by the detection unit 10 of the mobile terminal 1b is the user attribute estimation device 2. (Step S9, terminal information transmission step). Next, the sensor information uploaded in S9 is received by the terminal information receiving unit 21 of the user attribute estimating device 2 (terminal information receiving step), and the attribute estimating unit 23 of the user attribute estimating device 2 receives the data at the proximity terminal. The attribute information of the user of the portable terminal 1a is extracted (extraction step), and the attribute information of the user of the portable terminal 1b is estimated based on the extracted attribute information of the user of the portable terminal 1a (step S10, attribute estimation). Step). Next, the attribute information transmission unit 24 of the user attribute estimation device 2 transmits (downloads) the user attribute information estimated in S10 to the portable terminal 1b (step S11, attribute information transmission step). The attribute information is received by the attribute information receiving unit 12 (attribute information receiving step) and stored in the attribute information storage unit 13 of the portable terminal 1b. At the stage of S10, the attribute information storage unit 20 of the user attribute estimation device 2 includes “friendship profile: friend with the mobile terminal 1a” as the attribute information of the user of the mobile terminal 1b. In addition, following S11, the context estimation unit 14 of the mobile terminal 1b estimates the context based on the attribute information received in S11 (context estimation step), and the context estimated by the processing unit 15 of the mobile terminal 1b. Processing based on the above may be performed (processing step).

  Next, processing of the recommendation method in the user attribute estimation system 3 according to the first embodiment will be described using the sequence diagram shown in FIG.

  First, when a state change is detected by the mobile terminal 1b (step S20), the context is estimated by the context estimation unit 14 of the mobile terminal 1b (step S21). Next, the context estimated in S21 is transmitted (uploaded) to the recommendation server by the processing unit 15 of the mobile terminal 1b (step S22). Next, recommendation information is determined by the recommendation server based on the context transmitted in S22 (step S23). Next, the recommendation information determined in S23 is transmitted (downloaded) to the portable terminal 1b by the recommendation server (step S24). Next, the recommendation information transmitted in S24 is output by the processing unit 15 of the portable terminal 1b (step S25).

  Next, the effect of the user attribute estimation system 3 (including the mobile terminal 1 and the user attribute estimation device 2) configured as in the first embodiment will be described.

  According to the user attribute estimation device 2 of the first embodiment, first, the terminal information receiving unit 21 receives terminal information and proximity terminal information from the mobile terminal 1b. Next, the attribute information of the user of the mobile terminal 1 a that is the proximity terminal indicated by the received proximity terminal information is extracted from the attribute information storage unit 20 by the extraction unit 22. Next, the attribute estimation unit 23 estimates the attribute information of the user of the portable terminal 1b indicated by the received terminal information based on the extracted attribute information of the user of the portable terminal 1a and stores it in the attribute information storage unit 20 Is done. Generally, users of mobile terminals 1 that are close to each other have an intimate relationship. In many cases, the attribute information between users who are intimate relations are identical or similar. The user attribute estimation device 2 can estimate the attribute information of the user of the portable terminal 1b based on the attribute information of the user of the portable terminal 1a by adopting the above configuration. For example, even when there is no information such as an action history related to the mobile terminal 1b or the user of the mobile terminal 1b or the amount of information is small, based on the attribute information of the user of the mobile terminal 1a that is intimately related to the user of the mobile terminal 1b. The attribute information of the user of the portable terminal 1b can be estimated with higher accuracy. That is, the user attribute estimation apparatus 2 can improve the estimation accuracy of user attribute information.

  Moreover, in the user attribute estimation apparatus 2 of 1st Embodiment, the attribute estimation part 23 estimates based on the relationship information of the said user and the user of the portable terminal 1b contained in the attribute information of the user of the portable terminal 1a. It is good. With this configuration, the attribute information of the user of the mobile terminal 1b can be estimated based on the relationship between the user of the mobile terminal 1a and the user of the mobile terminal 1b. It can be improved further.

  Moreover, in the user attribute estimation apparatus 2 of 1st Embodiment, the attribute estimation part 23 is the positional information contained in the attribute information of the user of the portable terminal 1b based on the positional information contained in the attribute information of the user of the portable terminal 1a. May be estimated. If this structure is taken, the positional information contained in the attribute information of the user of the portable terminal 1b can be estimated with higher accuracy by using the positional information included in the attribute information of the user of the portable terminal 1a, for example. For example, even when the mobile terminal 1b does not have a function of acquiring location information, the location information included in the attribute information of the user of the mobile terminal 1a is included in the attribute information of the user of the mobile terminal 1b. Position information can be estimated. Thereby, even a portable terminal 1b that does not have a function of acquiring position information can receive a service using position information.

  Moreover, in the user attribute estimation apparatus 2 of 1st Embodiment, the context estimation part 25 which estimates a context based on the attribute information estimated by the attribute estimation part 23, and the process based on the context estimated by the context estimation part 25 It is good also as the processing part 26 which performs. If such a configuration is adopted, the context is estimated based on the attribute information of the user of the mobile terminal 1b estimated with high accuracy, and thus the context is estimated with high accuracy. And since a process is performed based on the accurately estimated context, for example, a process more useful to the user is performed, so that convenience for the user is improved.

  Moreover, according to the user attribute estimation system 3 of the first embodiment, first, the proximity of the mobile terminal 1a (proximity terminal) is detected by the detection unit 10 of the mobile terminal 1b. Next, the terminal information transmission unit 11 of the mobile terminal 1b transmits the local terminal information and the proximity terminal information to the user attribute estimation device 2. Next, the terminal information receiving unit 21 of the user attribute estimation device 2 receives the local terminal information and the proximity terminal information from the portable terminal 1b. Next, the attribute information of the user of the portable terminal 1 a indicated by the received proximity terminal information is extracted from the attribute information storage unit 20 by the extraction unit 22 of the user attribute estimation device 2. Next, the attribute estimation unit 23 of the user attribute estimation device 2 estimates the attribute information of the user of the portable terminal 1b indicated by the received own terminal information based on the extracted attribute information of the user of the portable terminal 1a. . Next, the attribute information transmission unit 24 of the user attribute estimation device 2 transmits the estimated attribute information of the user of the mobile terminal 1b to the mobile terminal 1b. Next, the attribute information receiving unit 12 of the mobile terminal 1 b receives the attribute information of the user of the mobile terminal 1 b from the user attribute estimation device 2. Generally, users of mobile terminals 1 that are close to each other have an intimate relationship. In many cases, the attribute information between users who are intimate relations are identical or similar. The user attribute estimation device 2 can estimate the attribute information of the user of the portable terminal 1b based on the attribute information of the user of the portable terminal 1a by adopting the above configuration. For example, even if there is no information such as an action history related to the mobile terminal 1b or the user of the mobile terminal 1b or the amount of information is small, based on the attribute information of the user of the mobile terminal 1a that is intimately related to the user of the mobile terminal 1b Thus, the attribute information of the user of the mobile terminal 1b can be estimated with higher accuracy. That is, the user attribute estimation apparatus 2 can improve the estimation accuracy of user attribute information. Moreover, the portable terminal 1b receives (acquires) the attribute information of the user of the portable terminal 1b accurately estimated from the user attribute estimation device 2 only by transmitting the own terminal information and the proximity terminal information to the user attribute estimation device 2. )can do.

  Further, according to the user attribute estimation system 3 of the first embodiment, since the context is estimated based on the attribute information of the user of the mobile terminal 1b accurately estimated by the user attribute estimation device 2, the context is accurately estimated. The And since a process is performed based on the accurately estimated context, for example, a process more useful to the user is performed, so that convenience for the user is improved.

  Moreover, according to the portable terminal 1b of 1st Embodiment, the proximity | contact of the portable terminal 1a (proximity terminal) is first detected by the detection part 10. FIG. Next, the terminal information transmission unit 11 transmits the local terminal information and the proximity terminal information to the user attribute estimation device 2. Next, the attribute information receiving unit 12 estimated from the user attribute estimation device 2 as a response to the transmission of the local terminal information and the proximity terminal information based on the attribute information of the user of the portable terminal 1a indicated by the proximity terminal information. The attribute information of the user of the portable terminal 1b indicated by the own terminal information is received. Next, the context estimation unit 14 estimates the context based on the received attribute information. Next, processing based on the estimated context is performed by the processing unit 15. Generally, users of mobile terminals 1 that are close to each other have an intimate relationship. In many cases, the attribute information between users who are intimate relations are identical or similar. The user attribute estimation device 2 can estimate the attribute information of the user of the portable terminal 1b based on the attribute information of the user of the portable terminal 1a. For example, even if there is no information such as an action history related to the mobile terminal 1b or the user of the mobile terminal 1b or the amount of information is small, based on the attribute information of the user of the mobile terminal 1a that is intimately related to the user of the mobile terminal 1b Thus, the attribute information of the user of the mobile terminal 1b can be estimated with higher accuracy. That is, the user attribute estimation apparatus 2 can improve the estimation accuracy of user attribute information. And the portable terminal 1b employ | adopts the said structure, and only transmits the own terminal information and proximity terminal information to the user attribute estimation apparatus 2, and the user of the portable terminal 1b estimated accurately from the user attribute estimation apparatus 2 Can be received (acquired). Furthermore, in the mobile terminal 1b, since the context is estimated based on the attribute information of the user of the mobile terminal 1b estimated with high accuracy, the context is estimated with high accuracy. And since a process is performed based on the accurately estimated context, for example, a process more useful to the user is performed, so that convenience for the user is improved.

  In the prior art, since a terminal newly participating in the recommendation service has no past history information, there is a problem that estimation accuracy is low and it takes a certain period of time to obtain a correct estimation result. In addition, the old terminal has a problem that the accuracy of the sensor device is poor or the sensor itself is not activated due to the influence of battery consumption, and the estimation accuracy is low. According to the user attribute estimation system 3 according to the first embodiment, it is possible to improve the estimation accuracy of the own terminal and reduce the time by using the more likely estimation result of other terminals and proximity information.

  For example, when an acquaintance (family / colleague) participates in the recommendation service, the mobile terminal 1b newly subscribed to the service can use the information of the acquaintance's mobile terminal 1a for estimation. Specifically, when the acquaintance is a family member, the home position can be estimated with higher accuracy, and when the acquaintance is a colleague of the company, the work location can be estimated with higher accuracy. In addition, for example, when there is a mobile terminal 1a in which profile information has been registered in advance and a mobile terminal 1b in which profile information has not been registered, and the behavior patterns of these users (such as shops that are frequently used) are similar, Information for recommending to the mobile terminal 1d can be estimated from hobbies and preferences. In addition, for example, when there is a mobile terminal 1a in which the position information function of GPS / WiFi (registered trademark) is enabled and a mobile terminal 1b in which the position information function is disabled, it is detected that the mobile terminal 1b is close to the mobile terminal 1a. The current position of the mobile terminal 1b can be estimated from the current position of the mobile terminal 1a.

  In the estimation algorithm of the prior art, when highly accurate estimation of the attribute information and recommendation information of the user of the mobile terminal 1b is performed, it is necessary to acquire a history for a certain period. According to the user attribute estimation system 3 of the first embodiment, it is possible to perform estimation in a short period by using information of the portable terminal 1a that has been estimated.

[Second Embodiment]
FIG. 8 is a diagram for explaining a situation of the mobile terminal 1A and the user attribute estimation device 2A for explaining the user attribute estimation system 3A according to the second embodiment of the present invention. As shown in FIG. 8, in the user attribute estimation system 3A according to the second embodiment, in addition to the user attribute estimation device 2A, there are three portable terminals 1c, a portable terminal 1c, a portable terminal 1d, and a portable terminal 1e. included. Here, the attribute information of the users of the portable terminal 1c and the portable terminal 1d is estimated in advance in the user attribute estimation device 2A, and the estimated attribute information of the user of the portable terminal 1c and the portable terminal 1e is the user attribute estimation device. 2A is assumed to be managed. Here, “friendship profile: friend with mobile terminal 1e” is managed as attribute information of the user of the mobile terminal 1c, and “friendship profile: friend with mobile terminal 1e” is managed as the attribute information of the user of the mobile terminal 1d. It shall be. On the other hand, the user attribute information (part) of the user of the mobile terminal 1e is not estimated in advance by the user attribute estimation device 2A, and the user attribute information (part) of the user of the mobile terminal 1e is not the user attribute estimation device 2A. It is not managed in Note that the mobile terminal 1A, the user attribute estimation device 2A, and the user attribute estimation system 3A include the same functional blocks as the mobile terminal 1, the user attribute estimation device 2, and the user attribute estimation system 3 in the first embodiment, respectively. .

  Next, processing of the user attribute estimation method in the user attribute estimation system 3A according to the second embodiment will be described using the sequence diagram shown in FIG.

  First, the sensor information detected by the detection unit 10 of the mobile terminal 1c is uploaded to the user attribute estimation device 2A by the terminal information transmission unit 11 of the mobile terminal 1c (step S30). Next, the sensor information uploaded in S30 is received by the terminal information receiving unit 21 of the user attribute estimating device 2A, and the attribute information of the user of the portable terminal 1c is received by the attribute estimating unit 23 of the user attribute estimating device 2A. Estimated (step S31). The above processes of S30 to S31 are periodically performed.

  Next, the sensor information detected by the detection unit 10 of the portable terminal 1d is uploaded to the user attribute estimation device 2A by the terminal information transmission unit 11 of the portable terminal 1d (step S32). Next, the sensor information uploaded in S32 is received by the terminal information receiving unit 21 of the user attribute estimating device 2A, and the attribute information of the user of the portable terminal 1d is received by the attribute estimating unit 23 of the user attribute estimating device 2A. Estimated (step S33). The above processes of S32 to S33 are periodically performed.

  Here, if the mobile terminal 1e newly subscribes to the service of the user attribute estimation system 3A (step S34), the sensor information detected by the detection unit 10 of the mobile terminal 1e by the terminal information transmission unit 11 of the mobile terminal 1e. Data is uploaded to the user attribute estimation device 2A (step S35). Next, the sensor data uploaded in S35 is received by the terminal information receiving unit 21 of the user attribute estimating device 2A, and the friendship relationship information of the user of the mobile terminal 1e is received by the attribute estimating unit 23 of the user attribute estimating device 2A. Are extracted (step S36). Specifically, the attribute estimation unit 23 of the user attribute estimation device 2A extracts the portable terminal 1 having the attribute information of the user registered as a friend of the user of the portable terminal 1e, and as a result, the portable terminal 1c and the portable terminal 1c Identification information of the terminal 1d is extracted. Next, attribute information of the user of the portable terminal 1e is estimated by the attribute estimation unit 23 of the user attribute estimation device 2A (step S37). For example, the attribute estimation unit 23 of the user attribute estimation device 2A estimates “friend profile: friends with the mobile terminal 1c and the mobile terminal 1d” as the user attribute information of the mobile terminal 1e based on the extraction result in S36. Next, the attribute information transmitting unit 24 of the user attribute estimating apparatus 2A transmits (downloads) the user attribute information estimated in S37 to the portable terminal 1e (step S7), and the attribute information receiving unit 12 of the portable terminal 1e. And is stored in the attribute information storage unit 13 of the portable terminal 1e.

  According to the user attribute estimation system 3A of the second embodiment, the attribute information of the user of the mobile terminal 1e is estimated based on the attribute information of another user having a relationship with the user. In general, there are many cases in which attribute information between related users is identical or similar. The user attribute estimation system 3A can estimate the attribute information of the user of the portable terminal 1e based on the attribute information of the users of the portable terminal 1c and the portable terminal 1d by adopting the above configuration. For example, even if there is no information such as an action history related to the mobile terminal 1e or the user of the mobile terminal 1e or the amount of information is small, the attribute information of the mobile terminal 1c and the user of the mobile terminal 1d is related to the user of the mobile terminal 1e. Based on this, it is possible to estimate the attribute information of the user of the mobile terminal 1e with higher accuracy. That is, the user attribute estimation system 3A can improve the estimation accuracy of user attribute information.

  1 · 1A · 1a · 1b · 1c · 1d · 1e ... portable terminal, 2 · 2A ... user attribute estimation device, 3 · 3A ... user attribute estimation system, 10 ... detection unit, 11 ... terminal information transmission unit, 12 ... attribute Information receiving unit, 13 ... attribute information storage unit, 14 ... context estimation unit, 15 ... processing unit, 20 ... attribute information storage unit, 21 ... terminal information receiving unit, 22 ... extraction unit, 23 ... attribute estimation unit, 24 ... attribute Information transmitting unit, 25... Context estimating unit, 26.

Claims (9)

Storage means for storing user attribute information;
Terminal information receiving means for receiving, from the mobile terminal, terminal information related to the mobile terminal or the user of the mobile terminal and proximity terminal information related to the mobile terminal or another mobile terminal close to the mobile terminal. When,
Extraction means for extracting from the storage means attribute information of the user of the proximity terminal indicated by the proximity terminal information received by the terminal information reception means;
The attribute information of the user of the portable terminal indicated by the terminal information received by the terminal information receiving unit is estimated based on the attribute information of the user of the proximity terminal extracted by the extracting unit, and stored in the storage unit Attribute estimation means;
A user attribute estimation device comprising:   The user attribute estimation device according to claim 1, wherein the attribute estimation unit estimates based on relationship information between the user and the mobile terminal user included in the attribute information of the user of the proximity terminal.   The user attribute according to claim 1 or 2, wherein the attribute estimation unit estimates position information included in the attribute information of the user of the portable terminal based on position information included in the attribute information of the user of the proximity terminal. Estimating device. Context estimation means for estimating a context based on attribute information estimated by the attribute estimation means;
Processing means for performing processing based on the context estimated by the context estimation means;
The user attribute estimation device according to any one of claims 1 to 3, further comprising: A user attribute estimation system including a mobile terminal and a user attribute estimation device,
The portable terminal is
Detection means for detecting the proximity of another mobile terminal;
The mobile terminal or the mobile terminal or the mobile terminal user's own terminal information and the mobile terminal that is the other mobile terminal detected by the detection means or the mobile terminal information of the mobile terminal or the proximity terminal user Terminal information transmitting means for transmitting;
Attribute information receiving means for receiving attribute information of the user of the mobile terminal from the user attribute estimation device;
With
The user attribute estimation device includes:
Storage means for storing user attribute information;
Terminal information receiving means for receiving own terminal information and proximity terminal information from the portable terminal;
Extraction means for extracting from the storage means attribute information of the user of the proximity terminal indicated by the proximity terminal information received by the terminal information reception means;
Attribute estimation means for estimating the attribute information of the user of the portable terminal indicated by the terminal information received by the terminal information receiving means based on the attribute information of the user of the proximity terminal extracted by the extraction means;
Attribute information transmission means for transmitting attribute information of the user of the mobile terminal estimated by the attribute estimation means to the mobile terminal;
A user attribute estimation system comprising: The portable terminal is
Context estimation means for estimating a context based on attribute information received by the attribute information reception means;
Processing means for performing processing based on the context estimated by the context estimation means;
The user attribute estimation system according to claim 5, further comprising: Detection means for detecting the proximity of another mobile terminal;
The mobile terminal or the mobile terminal user's own terminal information and the proximity terminal that is the other mobile terminal detected by the detection means or the proximity terminal information related to the user of the proximity terminal are transmitted to the user attribute estimation device Terminal information transmitting means for
The own terminal estimated from the user attribute estimation device based on the attribute information of the user of the neighboring terminal indicated by the neighboring terminal information as a response to the transmission of the own terminal information and the neighboring terminal information by the terminal information transmitting unit Attribute information receiving means for receiving attribute information of the user of the mobile terminal indicated by the information;
Context estimation means for estimating a context based on attribute information received by the attribute information reception means;
Processing means for performing processing based on the context estimated by the context estimation means;
A mobile terminal comprising: A user attribute estimation method executed by a user attribute estimation device comprising a storage means for storing user attribute information,
A terminal information receiving step for receiving, from the mobile terminal, terminal information relating to the mobile terminal or the user of the mobile terminal, and proximity terminal information relating to a proximity terminal that is another mobile terminal close to the mobile terminal or the user of the proximity terminal. When,
An extraction step of extracting attribute information of the user of the proximity terminal indicated by the proximity terminal information received in the terminal information reception step from the storage means;
The mobile terminal user attribute information indicated by the terminal information received in the terminal information reception step is estimated based on the proximity terminal user attribute information extracted in the extraction step and stored in the storage means Attribute estimation step;
User attribute estimation method including A user attribute estimation method executed by a user attribute estimation system including a mobile terminal and a user attribute estimation device including a storage unit that stores user attribute information,
A detection step in which the mobile terminal detects the proximity of another mobile terminal;
The mobile terminal is the mobile terminal or the mobile terminal or the mobile terminal user's own terminal information, and the proximity terminal that is the other mobile terminal detected in the detection step or the mobile terminal information of the mobile terminal. A terminal information transmission step for transmitting to the user attribute estimation device;
A terminal information receiving step in which the user attribute estimation device receives the local terminal information and the proximity terminal information from the mobile terminal;
An extraction step in which the user attribute estimation device extracts attribute information of a user of the proximity terminal indicated by the proximity terminal information received in the terminal information reception step from the storage unit;
The user attribute estimation device estimates the attribute information of the user of the portable terminal indicated by the own terminal information received in the terminal information reception step based on the attribute information of the user of the proximity terminal extracted in the extraction step Attribute estimation step,
An attribute information transmission step in which the user attribute estimation device transmits attribute information of the user of the mobile terminal estimated in the attribute estimation step to the mobile terminal;
An attribute information receiving step in which the mobile terminal receives attribute information of a user of the mobile terminal from the user attribute estimation device;
User attribute estimation system including

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