JP2008181184A - System, device, and method for providing information - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an information providing system for providing information to an information reception terminal, and to provide an information providing device, and its method. <P>SOLUTION: In the information providing system, the information reception terminal 22 receives GPS signals from GPS satellites 10 and acquires position information indicating its own physical position. The terminal 22 transmits the acquired its own position information and the identifier of the user of the information reception terminal 22 to become an information providing object to an information management server 3 via a radio base station 20 and a network 100. The information management server 3 retrieves service information, based on the position information of the information reception terminal 22 and the user identifier, and transmits the retrieved service information to the information reception terminal 22 via the network 100 and the radio base station 20. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an information providing system, an information providing apparatus, and a method thereof.

For example, Patent Literature 1 discloses a method for extracting a purchase behavior rule for each consumer with high accuracy by simultaneously analyzing the collected movement behavior and purchase behavior for each consumer.
Further, Patent Document 2 classifies each subject based on preference data, and further derives a related rule between each subject's purchase history data and class, and a relevant rule between each subject's viewing history data and class, A method of predicting purchase behavior from viewing behavior or predicting viewing behavior from purchase behavior based on each person's preference profile by deriving the relationship between purchase behavior and viewing behavior based on two related rules is disclosed.
Further, Patent Document 3 measures the pseudo distance using a time difference even when the number of measurable satellites is three or less, and uses the measured pseudo distance to accurately determine the position of the position estimation device. A method for estimating or calculating is disclosed.
JP 09-251450 A JP 2003-331109 A JP 2004-226406 A

  The present invention has been made from the above-described background, and an object thereof is to provide an information providing system, an information providing apparatus, and a method for providing information to an information receiving terminal.

  In order to achieve the above object, an information providing system according to the present invention includes a plurality of information receiving terminals, position detecting means for detecting position information of the plurality of information receiving terminals, and users of the plurality of information receiving terminals. A service information providing device that provides service information related to a region corresponding to the location information of the information receiving terminal of the target user to the information receiving terminal of the target user to which information is to be provided, and provides the service information The apparatus includes: user related information storage means for storing user related information regarding each of the users of the plurality of information receiving terminals; service information search means for searching for the service information based on the user related information; and information on the target user Service information providing means for providing the receiving terminal with the service information searched by the service information searching means.

  Preferably, the service information providing apparatus further includes group creation means for creating one or more groups to which one or more users belong based on the user related information, and the service information search means includes the group The service information is searched based on user-related information regarding one or more users to which it belongs.

  Preferably, the user-related information includes travel route history information related to a travel route history of the information receiving terminal and travel time information related to a travel time of the information receiving terminal, and the service information providing apparatus includes the travel information The apparatus further includes movement information recording means for recording the route history information and the movement time information in association with each other.

  Preferably, the service information providing apparatus further includes a movement position estimation means for estimating a movement position after a predetermined time has elapsed from a current position of the information receiving terminal based on the user related information including the movement route history information. And the service information search means further searches for the service information related to the area corresponding to the movement position estimated by the movement position estimation means.

  Preferably, the service information providing apparatus further includes a movement tendency calculation unit that analyzes the user related information and calculates movement tendency information related to the movement tendency of the user, and the movement position estimation unit includes the movement tendency The moving position is estimated based on the information.

  Preferably, the user related information further includes user movement statistical data, and the service information providing apparatus statistically analyzes the user related information to calculate the user movement statistical data. The movement position estimation means estimates the movement position based on the movement statistics data.

  Preferably, the user related information further includes a plurality of use service attribute information related to attributes of a plurality of services used by the user, and the service information providing apparatus analyzes the plurality of use service attribute information, Service correlation calculation means for calculating service correlation information relating to correlation between the plurality of used service attribute information is further included, and the service information search means includes the service attribute information and the service correlation information. The service information is searched based on at least one of the following.

  Preferably, the service information providing apparatus includes at least one information included in the user related information of the target user and at least one user related information of a user other than the target user among the plurality of users. The apparatus further includes similarity analysis means for analyzing similarity with information, and the service information search means searches for the service information based on the similarity.

  An information providing apparatus according to the present invention is an information providing apparatus that provides information to an information receiving terminal of a target user who is an information providing target among users of a plurality of information receiving terminals. User related information storage means for storing user related information regarding each user of the information receiving terminal, and service information for searching for service information regarding an area corresponding to the position information of the information receiving terminal of the target user based on the user related information Search means; and service information providing means for providing service information searched by the service information search means to the information receiving terminal of the target user.

  An information providing method according to the present invention is an information providing method for providing information to an information receiving terminal of a target user who is a target of providing information among users of a plurality of information receiving terminals. A user-related information storage step for storing user-related information regarding each user of the information receiving terminal, and service information for searching for service information regarding an area corresponding to the position information of the information receiving terminal of the target user based on the user-related information And a service information providing step of providing the service information searched by the service information search means to the information receiving terminal of the target user.

  According to the present invention, information for searching for and providing information on a service to the information receiving terminal based on information on the user, in particular, information on behavior history, movement characteristics, and service usage characteristics. A providing system, an information providing apparatus, and a method thereof can be provided.

  Embodiments of the present invention will be described below.

[Information provision system 1]
FIG. 1 is a diagram illustrating a configuration of an information providing system 1 to which an information providing method according to an embodiment of the present invention is applied.
As shown in FIG. 1, the information providing system 1 includes information receiving terminals 22-1 to 22-N such as mobile phones (N is an integer equal to or greater than 1. However, N is not always the same number). The wireless base station 20, which communicates with the information management server 3, the information management server 3, the information provider terminal 28, and the service providing terminal 4 are connected to each other via the network 100.
In the following description, when any of a plurality of components such as the information receiving terminals 22-1 to 22-N is indicated without being specified, the information receiving terminal 22 may be simply abbreviated.

As will be described later with reference to FIGS. 4 to 5, the information receiving terminal 22 can acquire position information indicating its own physical position using a GPS signal from a GPS (Global Positioning System) satellite 10. it can.
The information provider terminal 28 transmits service information to the information management server 3 via the network 100.
Here, the service information is information related to a service corresponding to a certain position, such as weather forecast, map, traffic information, information on nearby facilities and department stores, and the like.

The service providing terminal 4 is a terminal connected to a network, such as a cash register that can use a member's card such as a retail store's electronic money or a magnetic card, and is used by the user of the information receiving terminal 22 via the network 100. Information related to the service (service usage information) (for example, location information of the purchase place, purchased product attributes, purchase time, etc.) and the identifier of the used user are transmitted to the information management server 3.
The service usage information is, for example, information such as purchase location information, purchased product attributes, and purchase time.

In the following description, devices that can be the subject of information processing and communication in the information providing system 1 such as the information management server 3 may be collectively referred to as nodes.
Also, any two or more of the devices constituting the information providing system 1 shown in FIG. 1 can be configured integrally as appropriate.
In the following drawings, substantially the same components and processes are denoted by the same reference numerals.

FIG. 2 is a diagram showing an aspect of service information provision performed between the information receiving terminal 22 and the information management server 3 in the information provision system 1 shown in FIG.
The information management server 3 provides service information to the information receiving terminal 22 in the following manner.
(1) The information receiving terminal 22 receives a GPS signal from the GPS satellite 10 and acquires position information indicating its own physical position.
(2) The information receiving terminal 22 transmits the acquired location information and the identifier of the user (target user) of the information receiving terminal 22 to which information is to be provided via the radio base station 20 and the network 100. The information is transmitted to the information management server 3.
(3) The information management server 3 retrieves service information based on the location information and user identifier of the information receiving terminal 22, and retrieves the retrieved service information via the network 100 and the radio base station 20. Send to.

In this embodiment, the service information searched by the information management server 3 is provided from the information provider terminal 28 to the information management server 3 via the network 100. However, the information management server 3 via the network 100 The service information may be searched by accessing the information providing server or the like, or the information provider may directly input the service information to the information management server 3 without using the information provider terminal 28.
Further, the radio base station 20, the information provider terminal 28, the information management server 3, and the service providing terminal 4 may not be in the same network.

[Hardware]
FIG. 3 is a diagram illustrating a hardware configuration of the information management server 3 and the information provider terminal 28 illustrated in FIG.
As shown in FIG. 3, the information management server 3 and the information provider terminal 28 communicate with a main body 120 including a CPU 122 and a memory 124, an input / output device 126 including a keyboard and a display device, and other nodes. A device 128 and a recording device 130 that records and reproduces data on the recording medium 132, such as a CD device and an HDD device.
That is, the information management server 3 and the information provider terminal 28 have hardware components as computers capable of information processing and communication with other nodes.

FIG. 4 is a diagram illustrating the configuration of the information receiving terminal 22 shown in FIG.
As shown in FIG. 4, the information receiving terminal 22 includes an antenna 220, a wireless IF 222, a voice / video CODEC 230, a display device 232 such as an LCD, a camera 234, a microphone 236, a speaker 238, a control unit 240, a numeric keypad 242, a DTMF ( Dial Tone Multi Frequency) generator 244 and position information detector 248.
Each component of the information receiving terminal 22 may be realized by dedicated hardware or may be realized by software executed on a DSP (Digital Signal Processor) or the like.

The antenna 220 and the radio IF 222 transmit signals necessary for line setting with the radio base station 20.
The antenna 220 and the wireless IF 222 transmit voice, moving images, and DTMF signals to and from the other information receiving terminals 22 or the information management server 3 via the wireless base station 20 and the network 100.
Furthermore, the antenna 220 and the wireless IF 222 receive a signal from the GPS satellite 10 and output it to the position information detection unit 248.
The display device 232 is, for example, a liquid crystal display device, and displays the moving image generated by the audio / moving image CODEC 230 to indicate to the user.
The camera 234 is, for example, a CCD camera, which captures a user and scenery, generates a moving image, and outputs the moving image to the audio / moving image CODEC 230.
The microphone 236 accepts a voice such as a user's voice and outputs it to the voice / video CODEC 230.
The speaker 238 outputs the voice input from the voice / video CODEC 230, for example, the voice of the other party or the voice accompanying the service information.

The numeric keypad 242 has buttons such as numerals 0 to 9 and symbols “*” and “#” suitable for signal input operation by DTMF, and accepts the user's operation to the control unit 240 and the DTMF generation unit 244. Output.
The control unit 240 includes a CPU, a memory (not shown), and the like, receives a signal from the numeric keypad 242, and executes a program (not shown).
The control unit 240 performs processing for communication with the radio base station 20 and outputs a signal for the communication to the radio IF 222.
In addition, the control unit 240 performs processing for controlling each component of the information receiving terminal 22 and outputs a signal for the control to the audio / video CODEC 230.
Further, the control unit 240 receives position information from the position information detection unit 248 and performs processing such as displaying the current position on the display device 232 based on the position information.
The DTMF generator 244 generates DTMF signals corresponding to the numbers 0 to 9 and the symbols “*” and “#” in response to a user operation on the buttons of the numeric keypad 242, and outputs the generated DTMF signals to the audio / video CODEC 230. To do.

The audio / moving image CODEC 230 receives and decodes moving image data sent from another information receiving terminal 22 and the information management server 3 in, for example, the MPEG format via the wireless IF 222 and displays the decoded data on the display device 232.
Also, the audio / video CODEC 230 decodes audio data sent from the other information receiving terminal 22 and the information management server 3 and outputs it from the speaker 238.
The audio / moving image CODEC 230 encodes the moving image input from the camera 234 into MPEG moving image data and outputs the encoded moving image data to the wireless IF 222.
The audio / video CODEC 230 encodes the audio input from the microphone 236 and the DTMF signal input from the DTMF generator 244 into audio data, and outputs the audio data to the wireless IF 222.

[Position detection program 250]
FIG. 5 is a diagram showing a position detection program 250 that operates in the position information detection unit 248 shown in FIG.
As shown in FIG. 5, the position detection program 250 includes a GPS IF 252, a GPS signal receiving unit 254, a position information processing unit 256, a position information transmitting unit 258, and a radio base station IF 264.
In the position detection program 250, the GPSIF 252 performs a process for communicating with the GPS satellite 10.
That is, the GPSIF 252 outputs a signal from the GPS satellite 10 to the GPS signal receiving unit 254.

The GPS signal receiving unit 254 receives a GPS signal from the GPSIF 252 and outputs it to the position information processing unit 256.
The position information processing unit 256 performs a process for acquiring the position information of the information receiving terminal 22 based on the received GPS signal, and outputs the acquired position information to the position information transmitting unit 258.
The position information transmission unit 258 performs processing for transmitting the position information from the position information processing unit 256 to the radio base station 20 and outputs a signal including the position information to the radio base station IF 264 and the control unit 240.

The radio base station IF 264 performs processing for performing communication with the radio base station 20.
That is, the radio base station IF 264 outputs the signal from the position information transmission unit 258 to the radio IF 222 and transmits it to the radio base station 20.
In the present embodiment, the position detection program 250 operates in the position information detection unit 248. However, the position detection program 250 may operate in the control unit 240, for example.

[Information management server program 30]
FIG. 6 is a diagram showing an information management server program 30 operating in the information management server 3 shown in FIG.
As shown in FIG. 6, the information management server program 30 includes an information receiving terminal IF 300, a user identifier receiving unit 302, a terminal location information receiving unit 304, a service information request receiving unit 306, a service information providing unit 308, and an area information storage unit 310. , A service information storage unit 312, a user related information storage unit 314, a group information storage unit 316, a user-service relationship table storage unit 318, an information storage unit 32, and an information search unit 36.

The information management server program 30 receives a user identifier, terminal location information, and a service information request from the information receiving terminal 22 using these components.
Further, the information management server program 30 searches for service information that is expected to meet the preferences of the target user based on the received user identifier, terminal location information, and service information request.
Further, the information management server program 30 transmits the retrieved service information to the information receiving terminal 22.

In the information management server program 30, the information receiving terminal IF 300 performs processing for communicating with the information receiving terminal 22.
That is, the information receiving terminal IF 300 receives a signal from the information receiving terminal 22 via the network 100 and the radio base station 20, and receives the user identifier receiving unit 302, the terminal location information receiving unit 304, the service information request receiving unit 306, and the information Output to the storage unit 32.
The information receiving terminal IF 300 receives a signal from the service information providing unit 308 and outputs the signal to the information receiving terminal 22 via the network 100 and the radio base station 20.

The user identifier receiving unit 302 receives the identifier of the user of the information receiving terminal 22 from the information receiving terminal IF 300, outputs it to the information storage unit 32, and controls the processing of the information storage unit 32.
Also, the user identifier receiving unit 302 outputs the user identifier to the service information request receiving unit 306.
The terminal location information receiving unit 304 receives the location information from the information receiving terminal 22 and outputs the location information to the information storage unit 32 and the information search unit 36.
The service information request receiving unit 306 receives the service information request from the information receiving terminal 22 and the user identifier, outputs them to the information search unit 36, and controls the processing of the information search unit 36.
The service information providing unit 308 receives the service information searched by the information search unit 36, and outputs it to the information receiving terminal IF300.

FIG. 7 is a diagram illustrating an aspect of a region in the present embodiment.
As shown in FIG. 7, in the present embodiment, the physical space is partitioned by an area defined by, for example, coordinate values.
Moreover, a certain area | region a may contain a some area | region in it.
For example, in FIG. 7, the region a can be defined as [(X1, Y1), (X2, Y2)], and the region a1 can be defined as [(X3, Y3), (X4, Y4)].
For example, in FIG. 7, if the current position of the information receiving terminal 22 is A (Xa, Ya) and X1 <Xa <X2 and Y1 <Ya <Y2, the current position A is included in the region a.
In FIG. 7, the shape of each region is rectangular, but any shape may be used.

FIG. 8 is a diagram showing the region information stored in the region information storage unit 310 shown in FIG.
As shown in FIG. 8, the area information includes an area identifier and area position information.
The area identifier is an identifier for uniquely identifying each area.
The area position information is information for defining the area. For example, the area a shown in FIG. 7 includes information indicating coordinate values [(X1, Y1), (X2, Y2)].
The area information storage unit 310 stores information as shown in FIG. 8 for each area.
The terminal position information receiving unit 304 calculates a coordinate value indicating the current position of the information receiving terminal 22 from the position information from the information receiving terminal 22, and outputs the coordinate value to each of the above components.

FIG. 9 is a diagram showing service information stored in the service information storage unit 312 shown in FIG.
As shown in FIG. 9, the service information includes a service identifier, a region identifier, location information, and service attribute information.
The service identifier is an identifier for uniquely identifying each service.
The area identifier is an identifier of an area to which each service belongs.
The position information is information indicating the position of each service, and is, for example, a coordinate value.

The service attribute information is information indicating attributes of each service, and indicates attributes such as a supermarket, department store, pub, convenience store, and the like, and a plurality of service attribute information may be included.
The service information storage unit 312 receives the service information shown in FIG. 9 from the information provider terminal 28 and stores it.

The user related information storage unit 314 stores user related information, which will be described later with reference to FIG.
The group information storage unit 316 stores group related information described later with reference to FIG.
The user-service relation table storage unit 318 stores a user-service relation table described later with reference to FIG.

[Information accumulation unit 32]
FIG. 10 is a diagram showing the information storage unit 32 shown in FIG.
As shown in FIG. 10, the information storage unit 32 includes a movement information recording unit 322, a user registration attribute information receiving unit 324, a service usage information receiving unit 326, a service usage recording unit 328, a statistical data calculating unit 330, service usage route information. A creation unit 332, a service correlation calculation unit 334, a group creation unit 336, and a user-service relationship table creation unit 338 are configured.
The information accumulating unit 32 receives the user identifier and the terminal location information using these components.
In addition, the information storage unit 32 exchanges information with the area information storage unit 310, the service information storage unit 312, the user related information storage unit 314, the group information storage unit 316, and the user-service relation table storage unit 318, thereby providing a service. Create and store information needed to search for information.

The movement information recording unit 322 receives the identifier of the user of the information receiving terminal 22 from the user identifier receiving unit 302 and the coordinate value indicating the current position of the information receiving terminal 22 from the terminal position information receiving unit 304. Are sequentially recorded in the user related information storage unit 314 in association with the current time.
That is, for each user of the information receiving terminal 22, the movement information recording unit 322 generates time-series data indicating the relationship between the information indicating the position of the information receiving terminal 22 and the time when the information receiving terminal 22 was present at the position. Record.

The user registration attribute information receiving unit 324 receives individual user attribute information (user attribute information) from the information receiving terminal IF 300 and outputs it to the user related information storage unit 314.
The user attribute information is input using the numeric keypad 242 or the like of the information receiving terminal 22, and is information indicating, for example, the user's name, date of birth, sex, and preference.
Note that the user attribute information is received from the information receiving terminal 22, but may be input using a terminal other than the information receiving terminal 22, such as another PC owned by the individual user.

The service use information receiving unit 326 receives from the service providing terminal 4 service information of a service used by the user of the information receiving terminal 22, an identifier for identifying the user, and time information using the service.
Further, the service usage information receiving unit 326 outputs the received information to the service usage recording unit 328.

The service usage recording unit 328 receives the service information, the user identifier, and the time information from the service usage information receiving unit 326, and records them in the user related information storage unit 314 as service usage characteristic information described later with reference to FIG.
That is, the service usage recording unit 328 records information indicating which user used which service when.
The service usage recording unit 328 records service usage characteristic information related to the service used by the information receiving terminal 22 from the location information from the terminal location information receiving unit 304 and the service information stored in the service information storage unit 312. You can also
That is, when the service reception recording unit 328 determines that the information receiving terminal 22 exists within the range of the position information of certain service information for a predetermined time, the user of the information receiving terminal 22 uses the service. As a result, the service information and time information are recorded in the user related information storage unit 314.

Here, the user related information stored in the user related information storage unit 314 will be described.
FIG. 11 is a diagram showing user-related information stored in the user-related information storage unit 314 shown in FIG.
As shown in FIG. 11, the user related information includes a user identifier, user action history information, and user characteristic information.
The user behavior history information is information indicating a user's behavior history by associating a travel route with a travel time, and is information recorded by the travel information recording unit 322.

The user characteristic information includes user attribute information, movement characteristic information, and service usage characteristic information.
The user attribute information is received from the user registration attribute information receiving unit 324 and stored.
The movement characteristic information is information including statistical data calculated by a statistical data calculation unit 330 to be described later, and includes one or more area identifiers and movement statistical data in each area.

The service usage characteristic information includes usage service attribute information and service relevance information.
The used service attribute information is information recorded by the service usage recording unit 328, and includes an identifier of one or more services used, attribute information of each service, and time information using each service.
The service relevance information includes one or more service use route information created by a service use route information creation unit 332 described later and one or more service correlation information calculated by a service correlation calculation unit 334 described later. .
The user related information storage unit 314 stores the user related information shown in FIG. 11 for each user.

The statistical data calculation unit 330 (FIG. 10) statistically calculates the movement tendency of each user for each region, and stores the calculated movement statistical data as movement characteristic information in the user related information storage unit 314.
FIG. 12 is a diagram showing a method for accumulating movement statistical data.
The movement statistical data is accumulated for each area obtained by dividing the area a shown in FIG. 7 into blocks as shown in FIG.

Further, the movement statistical data is accumulated for each block in the form of an 8-way discretization histogram, for example, as shown in FIG.
In the example of FIG. 12B, this user indicates that there is a tendency to move in the west direction in the area a1.
Note that the movement statistical data may be stored in the form of a 16-direction discretized histogram or in the form of a continuous angle histogram, for example, instead of being in the form of an 8-way discretized histogram.

The service usage route information creation unit 332 (FIG. 10) extracts the usage service attribute information associated with the received user identifier from the user related information storage unit 314.
Also, the service use route information creation unit 332 obtains information (service use route information) on the route of the user using the service from the service identifier, service attribute information, and time information included in the extracted use service attribute information. create.
For example, when a user uses a service indicated by service attribute # 1, and then uses a service indicated by service attribute # 2, the service usage route information is a route of attribute # 1 → attribute # 2. Contains information indicating that the service has been used.
Also, for example, when a user uses a service identified by service identifier # 1, and then uses a service identified by service identifier # 2, the service usage route information is service identifier # 1 → service. It includes information indicating that the service has been used on the route of identifier # 2.
Further, the service use route information creation unit 332 stores the created service use route information in the user related information storage unit 314.

The service correlation calculation unit 334 extracts service usage route information associated with the received user identifier from the user related information storage unit 314.
In addition, the service correlation calculation unit 334 analyzes the extracted service use route information, applies data mining to the service use route information, and calculates a correlation for each user between the services.
Furthermore, the service correlation calculation unit 334 stores information related to the calculated correlation (service correlation information) in the user related information storage unit 314.

FIG. 13 is a flowchart showing the process (S10) of the service correlation calculation unit 334.
As shown in FIG. 13, in step 100 (S100), the service correlation calculation unit 334 extracts the service usage route information of the target user from the user related information storage unit 314.
In step 102 (S102), the service correlation calculation unit 334 extracts a set of adjacent services in time series from the service use route information.
Note that the number of services constituting the set of services to be extracted is not limited to two, and may be three or more.

In step 104 (S104), the service correlation calculation unit 334 determines whether or not the attributes of the services of the extracted service sets are the same. If the results of the determination are the same, the process proceeds to S106, and if different, the process proceeds to S114. .
In step 106 (S106), the service correlation calculation unit 334 temporarily stores the same attribute set as the same attribute relationship information.
In step 108 (S108), the service correlation calculation unit 334 determines whether or not the analysis has been completed for all the service pairs. If all the analysis has been completed, the process proceeds to S110. Otherwise, the process returns to S102.

In step 110 (S110), the service correlation calculation unit 334 determines whether there is a predetermined number or more of the same attribute sets in the obtained same attribute relationship information.
If there is a predetermined number or more, the process proceeds to S112, and if not, the process ends.
In step 112 (S112), the service correlation calculation unit 334 stores a predetermined number or more of the same attribute relationship information in the service correlation information of the user related information storage unit 314 as the same attribute relationship information.

In step 114 (S114), the service correlation calculation unit 334 temporarily stores the set of service attributes obtained in S104 as heterogeneous attribute relationship information.
In step 116 (S116), the service correlation calculation unit 334 determines whether or not the analysis has been completed for all the service pairs. If all the analysis is completed, the process proceeds to S118. Otherwise, the process returns to S102.
In step 118 (S118), the service correlation calculation unit 334 determines whether or not there is a predetermined number or more attribute series sets in the obtained heterogeneous attribute relationship information.

Here, the attribute series is a set of paths in an order from a certain attribute (for example, attribute #A) to a different attribute (for example, attribute #B), and whether or not there is a predetermined number or more of attribute series. Judgment means, for example, determining whether or not there are a predetermined number or more of routes traveled in the order from the service of attribute #A to attribute #B.
If there are more than a predetermined number of attribute series pairs, the process proceeds to S120, and if not, the process ends.
In step 120 (S120), the service correlation calculation unit 334 stores a predetermined number or more of attribute sequence relationship information as attribute sequence relationship information in the service correlation information of the user related information storage unit 314.

Note that the order of the processes shown in FIG. 13 may be changed as appropriate.
The same applies to the flowcharts and sequences shown below.

The group creation unit 336 (FIG. 10) performs processing for grouping each user based on the attribute of the user.
FIG. 14 is a diagram illustrating an outline of grouping.
In FIG. 14, a set of users interested in the service indicated by attribute #A is indicated by group identifier #A, a set of users interested in the service indicated by attribute #B is indicated by group identifier #B, and attribute # A group of users interested in the service indicated by C is indicated by a group identifier #C.
Here, if a certain user X is interested in any of the above three attributes #A, #B, and #C, the user X belongs to the group identified by the group identifier #A, #B, #C. .

FIG. 15 is a diagram showing the group related information created by the group creation unit 336 shown in FIG.
As shown in FIG. 15, the group related information includes a group identifier, service attribute information, and identifiers # 1 to #I of users belonging to the group (I is an integer of 1 or more).
The group related information storage unit 316 illustrated in FIG. 6 stores the group related information illustrated in FIG. 15 for each group.

FIG. 16 is a flowchart showing the process (S20) of the group creation unit 336 shown in FIG.
As shown in FIG. 16, in step 200 (S <b> 200), the group creation unit 336 extracts arbitrary service attribute information from the user related information storage unit 314 and outputs the service attribute information to the group information storage unit 316.
In step 202 (S202), the group creation unit 336 extracts service usage characteristic information of an arbitrary user from the user related information storage unit 314.
In step 204 (S204), the group creation unit 336 determines whether the service attribute information extracted in S200 is included in the service usage characteristic information of an arbitrary user.
If it is included, the process proceeds to S206. If it is not included, the process returns to S202.

In step 206 (S206), the group creation unit 336 outputs the user identifier of the user selected in S202 to the group information storage unit 316.
In step 208 (S208), the group creation unit 336 determines whether or not the processing has been completed for all users. If the processing has been completed for all users, the process proceeds to S210. Otherwise, the process returns to S202.
In step 210 (S210), the group creation unit 336 determines whether or not the process has been completed for all service attributes. If all have been completed, the group creation unit 336 terminates the process, and otherwise returns to S200.

The user-service relationship table creation unit 338 (FIG. 10) extracts the use service attribute information related to each user from the user related information storage unit 314, and determines which service each user uses from the use service attribute information. Create a list to show.
In addition, the user-service relation table creation unit 338 extracts service use route information regarding each user from the user related information storage unit 314 and creates a list indicating which service each user has used on which route. To do.
Further, the user-service relationship table creation unit 338 extracts the identifiers of users belonging to each group from the group information storage unit 316, and creates a list of services used by a predetermined percentage or more of the users.

In addition, the user-service relationship table creation unit 338 creates a list indicating service paths used by a predetermined percentage or more of the users belonging to each group.
In this way, the user-service relationship table creation unit 338 creates a user-service relationship table as shown in FIG. 17 and stores this table in the user-service relationship table storage unit 318.
Hereinafter, “used by a predetermined percentage or more of users belonging to a group” may be simply described as “used by a group”.

FIG. 17 is a diagram showing a user-service relationship table.
As shown in FIG. 17, the user-service relationship table shows the relationship between the identifier of each user and the identifier of each group, the identifier of the service used by each user and each group, and the identifier of the service usage route. 1 if it has been used, 0 if it has not been used.
For example, the user identified by the user identifier # 1 (user # 1) has used the services identified by the service identifiers # 1, # 2 and #Z (services # 1, # 2 and #Z). .

If the service usage route identified by service usage route # 2 is in the order of using service # 2 after using service # 1 (service # 1 → service # 2), user # 1 Each service has been used in the order of service # 1 → service # 2.
For example, the group (group # 1) indicated by the group identifier # 1 has used the service # 1.
When the service usage route identified by service usage route # 1 is in the order of service # 3 → service # 4, group # 1 uses each service in the order of service # 3 → service # 4. Sometimes.

[Information Search Unit 36]
18 is a diagram illustrating the information search unit 36 illustrated in FIG.
As shown in FIG. 18, the information search unit 36 includes an area information search unit 362, a movement tendency calculation unit 364, a movement position estimation unit 366, a service usage trend analysis unit 368, and a useful service information search unit 380.
When the information search unit 36 receives a service information request from the information receiving terminal 22 from these components, the information searching unit 36 uses the position information from the information receiving terminal 22 and the information about the user of the information receiving terminal 22 to obtain the information receiving terminal 22. The current position and the estimated position after the elapse of a predetermined time are detected.
Also. The information search unit 36 searches for service information corresponding to the current position of the information receiving terminal 22 and the estimated position after the elapse of a predetermined time based on the user related information of the user of the information receiving terminal 22.

The area information search unit 362 searches the area information in the area information storage unit 310 and extracts area information including the current position of the information receiving terminal 22 based on the position information from the terminal position information receiving unit 304. .
That is, the area information search unit 362 searches for area position information where the coordinate value exists, and extracts information on an area including the current position of the information receiving terminal 22.
Further, the area information search unit 362 outputs the current position information and the searched current area information to the useful service information search unit 380.
Further, the area information search unit 362 receives the estimated position coordinates from the movement tendency calculation unit 364, searches for position information of the area where the coordinate value exists, and searches for the area including the estimated movement position of the information receiving terminal 22. Extract information.
Further, the region information search unit 362 outputs the searched region information of the estimated movement position to the movement position estimation unit 366.

The movement tendency calculation unit 364 extracts time series data of position coordinates from the user behavior history information of the target user from the user related information storage unit 314, applies Fourier transform to the position coordinate time series data, and performs frequency transformation in the frequency domain. Perform analysis.
The movement tendency calculation unit 364 calculates the position of the information receiving terminal 22 after a predetermined time by dividing each coordinate data in the frequency domain into a regular component and a random component and linearly interpolating the regular component. .
In addition, since the position coordinates estimated by linear interpolation of the regular moving component are average, the accuracy is rough, but by accumulating random components, the user's position information is more detailed. It is also possible to estimate.

FIG. 19 is a diagram illustrating the process (S30) of the movement tendency calculation unit 364.
As illustrated in FIG. 19, in step 300 (S300), the movement tendency calculation unit 364 extracts time-series data of position coordinates from the user action history information of the target user.
FIG. 20 is a diagram illustrating movement data in the time domain. 20A shows the X component, and FIG. 20B shows the Y component, both of which are displayed as a difference from the average value.
As shown in FIG. 20, the movement data in the time domain is a series of coordinate values sampled at a certain time interval Δt, and is expressed by the relationship between time and coordinate values.

Here, each coordinate value can be expressed as follows.
(X _k , Y _k )
Where k = 0,1, ..., n-1
(N is the number of sampled data and is an integer greater than 1)

  In step 302 (S302), the movement tendency calculation unit 364 performs the following calculation to simplify the process, and subtracts the average value from the position coordinate time series data.

  here,

は、それぞれＸ座標，Ｙ座標のデータの平均値である。

Are the average values of the data of the X coordinate and the Y coordinate, respectively.

In step 304 (S304), the movement tendency calculation unit 364 applies Fourier transform to the position coordinate time-series data as follows, and movement data FX _j , FY _j (j = 0, 1,. .., n-1) is obtained.

  Here, i is an imaginary unit.

FIG. 21 is a diagram illustrating data obtained by converting the moving data illustrated in FIG. 20 into a frequency domain. FIG. 21A illustrates an X component, and FIG. 21B illustrates a Y component.
As shown in FIG. 21, the movement data in the frequency domain is expressed by the relationship between the frequency and the intensity of each frequency component.

In step 306 (S306), the movement tendency calculation unit 364 determines whether movement data in the frequency domain is larger than the average value.
That is, it is determined whether or not the following mathematical formula holds.

If the moving data in the frequency domain is larger than the average value, the process proceeds to S308, and if not, the process returns to S306 and another frequency component j is determined again.
In step 308 (S308), the movement tendency calculation unit 364 calculates the average value of the regular components. That is,

とし、以下に示す数式を適用して規則的成分の平均値を算出する。

The average value of the regular components is calculated by applying the following mathematical formula.

Here, v = 0, 1,..., T _j −1.
T _j represents the period of data indicating regularity.

  In step 310 (S310), the movement tendency calculation unit 364 calculates a random component Ran (j) for the average value of the obtained regular components.

Ran (j) = Ran_X _j + Ran_Y _j
Here, the reason for calculating the sum of squares obtained by subtracting the average value of the regular components from the data of each XY component is that the random component can be either positive or negative, so that the difference between positive and negative is absorbed. It is.
In step 312 (S312), the movement tendency calculation unit 364 determines whether or not the processing has been completed for all frequency components. If all frequency components have been processed, the process proceeds to S314. Otherwise, the process returns to S306. The process is performed again for another frequency component j.

In step 314 (S314), the movement tendency calculation unit 364 calculates a frequency component j that minimizes the random component from all the obtained random components Ran (j), and sets the j as the optimum value P. To do.
In step 316 (S316), the movement tendency calculation unit 364 calculates a regular movement component and a random movement component for the optimum value P.
For the optimum value P calculated in S314,

として、次式から、各成分を算出する。

Then, each component is calculated from the following equation.

Regular component in the X direction:

Random component in the X direction:

Regular component in the Y direction:

Random component in the Y direction:

FIG. 22 is a diagram showing data obtained by dividing the movement data into a regular component and a random component based on the analysis result in the frequency domain. FIG. 22A is a regular component in the X direction, and FIG. A regular component in the Y direction, FIG. 22C shows a random component in the X direction, and FIG. 22D shows a random component in the Y direction.
As shown in FIG. 22, data divided into a regular component and a random component is expressed by the relationship between time and coordinate values.

In step 318 (S318), the movement tendency calculation unit 364 estimates the position coordinates at time T by linear interpolation as follows.
When estimating the position coordinates at a certain time T,

として、g＞Ｔ_Pならば、gは、Ｔ_Pよりも小さくなるまで、g=g-Ｔ_Pで示される式で変換される。

If g> T _P , g is converted by the equation shown by g = g−T _P until it becomes smaller than T _P.

For g obtained in this way,
h = g + mod (1, T _P )
Using h defined in (2), the estimated value of the position coordinate is calculated by the following formula.

  However, T ′ is as shown in the following equation.

The movement position estimation unit 366 (FIG. 18) acquires the estimated position coordinates of the information receiving terminal 22 after time T from the movement tendency calculation unit 364.
Furthermore, the movement position estimation unit 366 acquires area information including the estimated position coordinates after the time T of the information reception terminal 22 from the movement tendency calculation unit 364.
Further, the movement position estimation unit 366 acquires movement statistical data in the area including the target user and the area including the estimated movement position from the user related information storage unit 314.
The movement position estimation unit 366 estimates the movement position of the information receiving terminal 22 after a predetermined time based on the acquired data.
Furthermore, the movement position estimation unit 366 outputs information on the estimated movement position (estimated movement position information) to the useful service information search unit 380.
If the service information request from the service information request receiving unit 306 does not include a request for service information at the moving position after a predetermined time, the moving position estimating unit 366 does not acquire information from the moving tendency calculating unit 364 and the user The movement statistical data in the area where the target user is present is acquired from the related information storage unit 314, and the movement position is estimated based on the movement statistical data.

The service usage trend analysis unit 368 applies a collaborative filtering technique to the user-service relationship table stored in the user-service relationship table storage unit 318, thereby providing a service that is estimated to be of interest to the target user. Analyze information.
Here, collaborative filtering refers to a system that selects information based on the behavior of a person having a preference similar to that of the user.
The service usage trend analysis unit 368 outputs the information obtained by the analysis to the useful service information search unit 380 as service usage trend information.

23 and 24 are diagrams illustrating the process (S40) of the service usage trend analysis unit 368 focusing on the target user.
As shown in FIGS. 23 and 24, in step 400 (S400), the service usage trend analysis unit 368 uses the target user (target user X) identified by the user identifier #X from the user-service relationship table. Extract a service list (service list).
In step 402 (S402), the service usage trend analysis unit 368 extracts an identifier of an arbitrary user (or group) and a service list of the user (or group).
In step 404 (S404), the service usage trend analysis unit 368 determines whether or not a predetermined number or more of services used by the target user X are included in the service list of an arbitrary user (or group).
If the predetermined number or more is included, the process proceeds to S406, and if not included, the process returns to S402.

In step 406 (S406), the service usage trend analysis unit 368 uses the service of the user (or group) estimated to be similar to the target user X, that is, having a high preference similarity with the target user X. Get a list.
In step 408 (S408), the service usage trend analysis unit 368 determines whether the service used by the target user X is included in the service list of each user (or group) obtained in S406. To do.
If it is included most, the process proceeds to S410, and if not, the process returns to S408.

In step 410 (S410), the service usage trend analysis unit 368 obtains a service list of users (or groups) estimated to have higher preference similarity with the target user X.
In step 412 (S412), the service usage trend analysis unit 368 determines that the number of users (or groups) estimated to have higher preference similarity with the target user X is greater than or equal to m (m is an integer equal to or greater than 1). Judge whether there is.
If it is greater than or equal to m, the process proceeds to S414; otherwise, the process returns to S408.

In step 414 (S414), the service usage trend analysis unit 368 obtains a service list of users (groups) whose preference similarity with the target user X is the top m (m groups).
In step 416 (S416), the service usage trend analysis unit 368 extracts the identifier of the used service from the service list of each user (group) of m people (m group).
In step 418 (S418), the service usage trend analysis unit 368 determines whether or not the extracted service identifiers are included in a service list of a predetermined number or more users (groups).
If it is included, the process proceeds to S420, and if it is not included, the process returns to S416.

In step 420 (S420), the service usage trend analysis unit 368 obtains an identifier of a service that the target user X is expected to be interested in.
In step 422 (S422), the service usage trend analysis unit 368 determines whether the service identifier is included in the service list of the target user X.
If it is included, the process proceeds to S424, and if it is not included, the process returns to S422.
In step 424 (S424), the service usage trend analysis unit 368 obtains an identifier of a service that the target user X is expected to be interested in and has not been used by the target user X.

FIG. 25 is a diagram illustrating processing (S50) focused on services by the service usage trend analysis unit 368.
As shown in FIG. 25, in step 500 (S500), the service usage trend analysis unit 368 identifies, from the service list of the target user X, an identifier #i (any service (or service usage route)) used by the target user X. i is an integer of 1 or more).
In step 502 (S502), the service usage trend analysis unit 368 includes other users (that have used the service #i) whose service list includes the service (or service usage route) identifier #i. Or a group) is extracted.
In step 504 (S504), the service usage trend analysis unit 368 obtains a service list of one or more users (or groups) using the service #i.

In step 506 (S506), the service usage trend analysis unit 368 extracts one arbitrary service identifier other than the service identifier #i from the service list of the user (or group) using the service #i.
In step 508 (S508), the service usage trend analysis unit 368 determines that the arbitrary service identifier extracted in S506 is the largest number of users (or groups) among one or more users (or groups) using the service #i. It is determined whether it is included in the service list.
If it is contained in the largest amount, the process proceeds to S510, and if not, the process returns to S506, and another service identifier is processed again.

In step 510 (S510), the service usage trend analysis unit 368 obtains an identifier of a service having high similarity to the service #i.
In step 512 (S512), the service usage trend analysis unit 368 determines whether the number of service identifiers obtained in S510 is n (n is an integer equal to or greater than 1).
If n is greater than or equal to n, the process proceeds to S514; otherwise, the process returns to S506.
In step 514 (S514), the service usage trend analysis unit 368 obtains a list of the top n services (or service usage routes) that are highly similar to the service #i.

As shown in FIG. 18, the useful service information search unit 380 includes a position information acquisition unit 382, a user feature information acquisition unit 384, a group member information acquisition unit 386, a service usage trend information acquisition unit 388, a service information request unit 390, and a service. An information acquisition unit 396 is configured.
The useful service information search unit 380 is based on the position information and estimated movement position information of the information receiving terminal 22 of the target user, the information from the user related information storage unit 314, and the service usage tendency information by using these components. Search for useful service information for the target user.
The position information acquisition unit 382 receives the current position information of the information receiving terminal 22 and the area information including the current position from the area information search unit 362.
Further, the position information acquisition unit 382 receives the estimated movement position information of the information receiving terminal 22 from the movement position estimation unit 366.
Further, the position information acquisition unit 382 outputs the received position information and area information to the service information request unit 390.

The user feature information acquisition unit 384 receives the user feature information of the target user from the user related information storage unit 314 and outputs the received user feature information to the service information request unit 390.
The group member information acquisition unit 386 searches the group information storage unit 316 for the group to which the target user belongs, and receives the identifier of the user (group member) belonging to that group.
Further, the group member information acquisition unit 386 outputs the identifier of the group member to the user related information storage unit 314, and acquires the user characteristic information of each group member.
The service usage trend information acquisition unit 388 receives the service usage trend information from the service usage trend analysis unit 368, and outputs the received service usage trend information to the service information request unit 390.

The service information request unit 390 includes location information and region information from the location information acquisition unit 382, and service attribute information from the user feature information acquisition unit 384, group member information acquisition unit 386, and service usage trend information acquisition unit 388. The service information stored in the service information storage unit 312 is requested.
That is, the service information request unit 390 requests service information related to the service attribute information from each of the above-described components from among the service information in the region range indicated by the region information including the location information from the location information acquisition unit 382. .
The service information acquisition unit 396 receives the service information retrieved by the request from the service information request unit 390 from the service information storage unit 312 and outputs it to the service information providing unit 308.

FIG. 26 is a diagram illustrating a mode in which the useful service information search unit 380 searches for service information.
For example, it is assumed that the attributes of services (beneficial services) that the target user is expected to be interested in are #A, #B, and #C.
The useful service information search unit 380 searches for a service that falls within a predetermined range R1 from the current position and has service attributes corresponding to #A, #B, and #C, and obtains service identifiers # 1 and # 4.
Further, the useful service information search unit 380 searches for a service that falls within a predetermined range R2 from the estimated movement position and has service attributes corresponding to #A, #B, and #C, and obtains a service identifier # 3.

FIG. 27 is a diagram illustrating a second mode in which the useful service information search unit 380 searches for service information.
For example, as in FIG. 26, assuming that the attributes of the useful service are #A, #B and #C, the useful service information search unit 380 obtains service identifiers # 1 and # 4 within the service search range R1. .
Here, when the service correlation information of the target user includes the same attribute relationship information indicated by attribute # A → attribute #A, the useful service information search unit 380 is within a predetermined range from the service identifier # 1. Search service information of attribute #A.
When the service identifier # 2 of the attribute #A is searched, as shown in FIG. 27A, the range R3 including the service identified by the service identifier # 2 also becomes the service search range.

In addition, when the service correlation information of the target user includes the attribute series relationship information indicated by the attribute # B → attribute #C, the useful service information search unit 380 has an attribute within a predetermined range from the service identifier # 4. Search service information of #C.
When the service identifier # 5 of the attribute #C is searched, as shown in FIG. 27B, the range R4 including the service identified by the service identifier # 5 also becomes the service search range.

FIG. 28 is a diagram illustrating processing (S60) of the useful service information search unit 380 illustrated in FIGS. 26 and 27.
As shown in FIG. 28, in step 600 (S600), the useful service information search unit 380 searches for useful services within a predetermined range from the current position.
In step 602 (S 602), the useful service information search unit 380 acquires useful service information from the service information storage unit 312.

In step 604 (S604), the useful service information search unit 380 determines whether the attribute of the acquired useful service information is included in the same attribute relation information included in the service correlation information of the target user.
If it is included, the process proceeds to S606, and if it is not included, the process proceeds to S610.
In step 606 (S606), the useful service information search unit 380 searches for service information having the same attribute within a predetermined range from the useful service.
In step 608 (S608), the useful service information search unit 380 also includes an area including the newly searched service in the search range, and further searches for service information.

In step 610 (S610), the useful service information search unit 380 determines whether the attribute of the acquired useful service information is included in the attribute series relation information included in the service correlation information of the target user.
When it is included, the process proceeds to S612, and when it is not included, the process returns to S602.
In step 612 (S612), the useful service information search unit 380 searches for attribute series service information within a predetermined range from the useful service.

In step 614 (S614), the useful service information search unit 380 also includes an area including the newly searched service in the search range, and further searches for service information.
In step 616 (S616), the useful service information search unit 380 determines whether all useful service information has been searched.
If not all have been searched, the process returns to S600, and if all have been searched, the process is terminated.

[Overall Operation of Information Providing System 1]
Hereinafter, the overall operation of the information providing system 1 will be described.
FIG. 29 is a communication sequence diagram showing an overall operation (S70) of the information providing system 1 shown in FIG.
As shown in FIG. 29, in steps 700-1 to 700-N (S700-1 to 700-N), the information receiving terminals 22-1 to 22-N receive user identifiers, position information, and user attribute information as information. It transmits to the management server 3.

In step S <b> 702 (S <b> 702), the information provider terminal 28 transmits service information to the information management server 3.
In step S <b> 704 (S <b> 704), the service providing terminal 4 transmits service usage information to the information management server 3.
In step S706 (S706), the information management server 3 creates and stores information used for searching service information.

In step S708 (S708), an information receiving terminal 22-A (A is an integer of 1 to N) transmits a service information request, a user identifier, and location information to the information management server 3.
In step S710 (S710), the information management server 3 searches for service information expected to be beneficial to the user of the information receiving terminal 22-A.
In step S712 (S712), the information management server 3 provides the retrieved service information to the information receiving terminal 22-A.
Note that the processing of S700 to S706 can be performed sequentially each time each piece of information is transmitted to the information management server 3.
In S700-1 to 700-N, the user identifier, the position information, and the user attribute information transmitted by the information receiving terminals 22-1 to 22-N may not be transmitted at a time.

In the present embodiment, the information receiving terminal 22 is a mobile phone, but it may be a PDA or a mobile PC, for example.
In the present embodiment, the information management server 3 searches for and provides service information when receiving a service information request from the information receiving terminal 22. However, for example, the information management server 3 may perform a search every predetermined time. The search may be performed when the information receiving terminal 22 enters an area.
In the present embodiment, the GPS signal is used as the means for acquiring the position information of the information receiving terminal 22, but the position information can be obtained by using a signal from the radio base station 20, for example, without using the GPS signal. May be acquired, or may be acquired from the service providing terminal 4.

  The present invention can be used in an information providing system that provides information to an information receiving terminal.

It is a figure which illustrates the structure of the information provision system with which the information provision method concerning embodiment of this invention is applied. In the information provision system shown in FIG. 1, it is a figure which shows the aspect of the service information provision performed between an information receiving terminal and an information management server. It is a figure which illustrates the hardware constitutions of the information management server and information provider terminal which were shown in FIG. It is a figure which illustrates the structure of the information receiving terminal shown in FIG. It is a figure which shows the position detection program which operate | moves in the position information detection part shown in FIG. It is a figure which shows the information management server program which operate | moves in the information management server shown in FIG. It is a figure which shows the aspect of the area | region in this embodiment. It is a figure which shows the area | region information stored in the area | region information storage part shown in FIG. It is a figure which shows the service information stored in the service information storage part shown in FIG. It is a figure which shows the information storage part shown in FIG. It is a figure which shows the user relevant information stored in the user relevant information storage part shown in FIG. It is the figure which showed the accumulation | storage method of movement statistics data. It is a flowchart which shows the process of a service correlation calculation part. It is a figure which illustrates the outline | summary of grouping. It is a figure which shows the group relevant information which the group preparation part shown in FIG. 10 produces. It is a flowchart which shows the process of the group preparation part shown in FIG. It is a figure which shows a user-service relation table. It is a figure which shows the information search part shown in FIG. It is a figure which shows the process of a movement tendency calculation part. It is a figure which illustrates the movement data in a time domain. It is a figure which shows the data which converted the movement data illustrated in FIG. 20 into the frequency domain. It is a figure which shows the data which divided | segmented movement data into the regular component and the random component based on the analysis result in a frequency domain. It is a figure which shows the process which paid its attention to the object user of the service utilization tendency analysis part. It is a figure which shows the process which paid its attention to the object user of the service utilization tendency analysis part. It is a figure which shows the process which paid attention to the service of a service utilization tendency analysis part. It is a figure which illustrates the aspect in which a useful service information search part searches service information. It is a figure which illustrates the 2nd aspect in which a useful service information search part searches service information. It is a figure which shows the process of the useful service information search part illustrated by FIG. 26 and FIG. It is a communication sequence diagram which shows the whole operation | movement of the information provision system shown in FIG.

Explanation of symbols

1 Information providing system,
10 ... GPS satellite,
100 ... Network,
20 ... wireless base station,
22-1 to 22-N... Information receiving terminal,
220 ... antenna,
222: Wireless IF,
230 ... voice / video CODEC,
232 ... Display device,
234 ... Camera,
236 ... Microphone,
238 ... Speaker,
240 ... control unit,
242 ... Numeric keypad,
244 ... DTMF generator,
248 ... Position information detection unit,
250 ... position detection program,
252 ... GPSIF,
254 ... GPS signal receiver,
256 ... position information processing unit,
258 ... Location information transmitter,
264: Radio base station IF,
28: Information provider terminal,
120 ... main body,
122... CPU
124 ... memory,
126 ... I / O device,
128... Communication device,
130... Recording device,
132... Recording medium,
3 ... Information management server,
30 ... Information management server program,
300: Information receiving terminal IF,
302 ... User identifier receiving unit,
304: Terminal position information receiving unit,
306 ... Service information request receiving unit,
308: Service information providing unit,
310 ... area information storage unit,
312 ... Service information storage unit,
314: User related information storage unit,
316: Group information storage unit,
318: User-service relation table storage unit,
32 ... Information storage unit,
322: Movement information recording unit,
324 ... User registration attribute information receiving unit,
326... Service usage information receiving unit,
328... Service usage recording unit,
330 ... statistical data calculation unit,
332... Service usage route information creation unit,
334... Service correlation calculation unit,
336 ... Group creation section,
338: User-service relation table creation unit,
36 ... Information retrieval part,
362 ... area information search unit,
364 ... Movement tendency calculation unit,
366 .... Movement position estimation unit,
368 Service Usage Trend Analysis Department,
380 ... useful service information search section,
382 ... Location information acquisition unit,
384 ... User characteristic information acquisition unit,
386: Group member information acquisition unit,
388 ... Service usage trend information acquisition unit,
390 ... service information request section,
396 ... Service information acquisition unit,
4 ... service providing terminal,

Claims (10)

A plurality of information receiving terminals;
Position detecting means for detecting position information of the plurality of information receiving terminals;
A service information providing apparatus for providing service information related to a region corresponding to position information of the information receiving terminal of the target user to an information receiving terminal of the target user to which information is to be provided among users of the plurality of information receiving terminals And
The service information providing apparatus includes:
User-related information storage means for storing user-related information regarding each of the users of the plurality of information receiving terminals;
Service information search means for searching for the service information based on the user related information;
Service information providing means for providing service information searched by the service information search means to the information receiving terminal of the target user. The service information providing apparatus includes:
Group creation means for creating one or more groups to which one or more users belong based on the user related information;
The information providing system according to claim 1, wherein the service information search unit searches the service information based on user-related information regarding one or more users belonging to the group. The user related information is:
Travel route history information relating to the travel route history of the information receiving terminal;
Travel time information relating to the travel time of the information receiving terminal, and
The service information providing apparatus includes:
The information providing system according to claim 1, further comprising movement information recording means for recording the movement route history information and the movement time information in association with each other. The service information providing apparatus includes:
Based on the user-related information including the travel route history information, further comprising a movement position estimation means for estimating a movement position after a predetermined time has elapsed from the current position of the information receiving terminal;
The information providing system according to claim 3, wherein the service information search unit further searches for the service information related to a region corresponding to the movement position estimated by the movement position estimation unit. The service information providing apparatus includes:
A movement tendency calculating means for analyzing the user related information and calculating movement tendency information related to the movement tendency of the user;
The information providing system according to claim 4, wherein the movement position estimation unit estimates a movement position based on the movement tendency information. The user related information is:
Further includes user movement statistics data,
The service information providing apparatus includes:
Further comprising movement statistical data calculation means for statistically analyzing the user-related information and calculating the user movement statistical data;
The information providing system according to claim 4 or 5, wherein the movement position estimation means estimates a movement position based on the movement statistical data. The user related information is:
A plurality of used service attribute information related to attributes of a plurality of services used by the user;
The service information providing apparatus includes:
Service correlation calculation means for analyzing the plurality of used service attribute information and calculating service correlation information related to the correlation between the plurality of used service attribute information,
The information providing system according to any one of claims 1 to 6, wherein the service information search unit searches for the service information based on at least one of the use service attribute information and the service correlation information. The service information providing apparatus includes:
Similarity analysis for analyzing similarity between one or more information included in user-related information of the target user and one or more information included in user-related information of users other than the target user among the plurality of users Further comprising means
The information providing system according to any one of claims 1 to 7, wherein the service information search unit searches for the service information based on the similarity. An information providing apparatus that provides information to an information receiving terminal of a target user who is a target of providing information among users of a plurality of information receiving terminals,
User-related information storage means for storing user-related information regarding each of the users of the plurality of information receiving terminals;
Service information search means for searching for service information related to the area corresponding to the location information of the information receiving terminal of the target user based on the user related information;
Service information providing means for providing service information searched by the service information search means to the information receiving terminal of the target user. An information providing method for providing information to an information receiving terminal of a target user who is a target of providing information among users of a plurality of information receiving terminals,
A user-related information storage step for storing user-related information regarding each of the users of the plurality of information receiving terminals;
Based on the user related information, a service information search step of searching for service information related to an area corresponding to position information of the information receiving terminal of the target user;
A service information providing step of providing the service information searched by the service information search means to the information receiving terminal of the target user.

Images