JP2017049751A - Information providing apparatus, terminal device, information providing method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technology of providing information which indicates influential power of a user in a group.SOLUTION: A group forming unit 40 acquires position information of an entity, which is a user or a terminal device, and forms a group including a plurality of entities, on the basis of time series data of position information relating to the entities. A point calculation unit 42 calculates feature behavior amount indicating a degree of coincidence with a predetermined behavior pattern having higher influential power of an entity in the group, for each of the entities included in the group formed in the group forming unit 40, and calculates points for the entities, on the basis of the feature behavior amount. A transmission unit 32 transmits the point calculated in the point calculation unit 42, or an index formed by integrating points.SELECTED DRAWING: Figure 18

Description

  The present invention relates to an information providing technique, and more particularly to an information providing device, a terminal device, an information providing method, and a program that provide information related to a user group.

  There is a system that detects position information of a terminal device held by a user and provides appropriate information to the terminal device according to the position information. For example, it is determined whether or not the current location of the mobile terminal is the user's living area, and regional recommendation information is provided accordingly (see, for example, Patent Document 1). Further, position information of a plurality of mobile terminal devices is detected, mobile terminals having the same position information over a predetermined time interval are grouped together, and optimal information is provided for the group (for example, see Patent Document 2). .

JP 2009-210400 A JP 2004-320217 A

  The technology described in Patent Literature 2 groups terminal devices (users) based on position information of terminal devices, and then extracts preference information common to the terminal devices (users) in the group, and information that matches them. Is provided to each terminal device. That is, information that matches the common part of the preferences and interests of the users in the group is provided. However, decision making in an actual group is not always performed based on a common part of each user's preference and interest. In many cases, group decisions are made based on the preferences and interests of a specific user, who can be called the leader of the group. For example, when deciding a restaurant to be entered by five users, a store is often decided based on the preference of a specific user rather than deciding on a store based on the common part of the preference of five people about cooking.

  Which users are most influential on a case-by-case basis, for example, the older people in the group, the most knowledgeable about cooking, the most economically privileged people, etc. become leaders There is a case. In addition, one person who has a strong influence in a group is not limited to one person, and a plurality of persons may have a strong influence. Thus, in an actual group, the influence of each user on decision-making is not equal, and is often biased toward a specific user. However, until now, it has not been possible to provide information indicating the force relationship (influence) between users in such a group.

  This invention is made | formed in view of such a condition, The objective is to provide the technique which provides the information which shows the influence of the user in a group.

  In order to solve the above-described problem, an information providing apparatus according to an aspect of the present invention acquires position information of a subject who is a user or a terminal device, and based on time-series data of position information related to a plurality of subjects, The influence of the entities in the group on the group formation unit that forms the group including the entities and each of the multiple entities included in the group formed in the group formation unit based on the time series data of the location information A feature behavior amount indicating a degree of matching with a predetermined behavior pattern that is said to be high, a point calculation unit that calculates points for each subject based on the feature behavior amount, and a point calculated by the point calculation unit, or A transmission unit that transmits an index in which points are aggregated.

  Another aspect of the present invention is also a terminal device. This device is a terminal device that can communicate with another terminal device, and is related to an acquisition unit that acquires the position information of the other terminal device, and the acquired position information of the other terminal device and the position information of the own terminal device. A group forming unit that forms a group including a plurality of terminal devices based on the series data, and at least one terminal device included in the group formed in the group forming unit based on the time series data; A feature behavior amount indicating a degree of matching with a predetermined behavior pattern that is considered to have a high influence of the user corresponding to the point is calculated by a point calculation unit that calculates points based on the feature behavior amount, and calculated by the point calculation unit And a control unit that performs control to display on the display unit the collected points or the index that collects the points.

  Yet another embodiment of the present invention is an information providing method. This method includes the steps of acquiring position information of a subject who is a user or a terminal device, and forming a group including a plurality of subjects based on time-series data of position information relating to the plurality of subjects, Based on the series data, for each of a plurality of subjects included in the formed group, a feature behavior amount indicating the degree to which the subject in the group matches a predetermined behavior pattern that has a high influence is calculated. And a step of calculating a point for each subject based on the characteristic behavior amount, and a step of transmitting the calculated point or an index in which the points are aggregated.

  It should be noted that any combination of the above-described constituent elements and a conversion of the expression of the present invention between a method, an apparatus, a system, a recording medium, a computer program, etc. are also effective as an aspect of the present invention.

  ADVANTAGE OF THE INVENTION According to this invention, the information which shows the influence of the user in a group can be provided.

It is a figure which shows the structure of the information provision system which concerns on Example 1 of this invention. It is a figure which shows the structure of the information provision apparatus of FIG. It is a flowchart which shows the information provision procedure by the information provision apparatus of FIG. It is a figure which shows the data structure of the database memorize | stored in the positional information management part of FIG. It is a figure which shows the data structure memorize | stored in the group formation part of FIG. It is a figure which shows the data structure of the database memorize | stored in the group information processing part of FIG. It is a flowchart which shows the update procedure of the leader point by the information provision apparatus of FIG. It is a figure which shows the outline | summary of the process in the point calculation part of FIG. FIGS. 9A and 9B are diagrams showing an outline of another process in the point calculation unit of FIG. It is a figure which shows the data structure of the database memorize | stored in the user information storage part of FIG. It is a figure which shows the data structure of the database memorize | stored in the provision information storage part of FIG. It is a figure which shows the data structure of the information transmitted from the transmission part of FIG. It is a figure which shows the structure of the terminal device of FIG. It is a figure which shows the screen displayed on the display part 52 of FIG. It is a figure which shows the structure of the information provision apparatus which concerns on Example 2 of this invention. It is a figure which shows the data structure of the database memorize | stored in the user information storage part of FIG. It is a figure which shows the data structure of another database memorize | stored in the user information storage part of FIG. It is a figure which shows the data structure of another database memorize | stored in the user information storage part which concerns on Example 3 of this invention. It is a figure which shows the structure of the information provision apparatus which concerns on Example 5 of this invention. It is a figure which shows the screen displayed on the display part which concerns on Example 5 of this invention. It is a figure which shows another screen displayed on the display part which concerns on Example 5 of this invention. It is a figure which shows another screen displayed on the display part which concerns on Example 5 of this invention. It is a figure which shows the data structure of the database memorize | stored in the point storage part which concerns on Example 5 of this invention. It is a figure which shows another screen displayed on the display part which concerns on Example 5 of this invention. It is a figure which shows another screen displayed on the display part which concerns on Example 5 of this invention. It is a figure which shows another screen displayed on the display part which concerns on Example 5 of this invention. It is a figure which shows the data structure of the database memorize | stored in the group information processing part which concerns on Example 5 of this invention. It is a figure which shows the data structure of the database memorize | stored in the group information processing part which concerns on Example 6 of this invention. It is a flowchart which shows the correction | amendment procedure of the leader point by the information provision apparatus which concerns on Example 6 of this invention.

Example 1
Before describing the present invention specifically, an outline will be given first. Example 1 of this invention is related with the information provision system containing a some terminal device and the information provision apparatus which can be connected to them. A group is formed by a user having each of a plurality of terminal devices acting together. When making a decision in a group, for example, when deciding a restaurant to enter for a meal, the preference of a user who has great influence on the group may be reflected. Therefore, the information providing apparatus according to the present embodiment forms a group using position information of a plurality of terminal devices and estimates the influence of each user in the group. Furthermore, the information providing apparatus provides optimal information to the group based on the estimated influence. In this way, information based on position information is provided to the group with sufficient accuracy.

  Next, information provided in the present embodiment will be described. The information providing device provides information about the item to the group. An “item” is a term that refers to all objects used by a user, such as a store, a product, a service, a web page, and digital content. In the present embodiment, the item is a store such as a restaurant. In other words, in the present embodiment, the information providing apparatus provides information regarding stores such as restaurants to the group. The information providing apparatus may provide information about the item in response to an information provision request from the group, or may provide information to the group at an appropriate timing regardless of the presence or absence of the information provision request. . The above is an outline description.

  FIG. 1 shows a configuration of an information providing system 100 according to Embodiment 1 of the present invention. The information providing system 100 includes a first terminal device 16a, a second terminal device 16b, a third terminal device 16c, and an Nth terminal device 16n, which are collectively referred to as the information providing device 10, the network 12, the base station device 14, and the terminal device 16. Including.

  The terminal device 16 corresponds to a wireless communication system and is connected to a base station device 14 described later. An example of the wireless communication system is a mobile phone system, a wireless LAN (Local Area Network) system, a business wireless system, and the like, but is not limited thereto. The terminal device 16 is a mobile phone, a smart phone, a tablet terminal, a notebook PC (Personal Computer), a wireless device, or the like, and is configured to be easily carried by the user. The terminal device 16 has a function of acquiring position information (latitude, longitude, etc.) by GPS (Global Positioning System), wireless LAN, or the like.

  The base station device 14 corresponds to the same wireless communication system as the terminal device 16 on one end side, and can be connected to the terminal device 16. Moreover, the base station apparatus 14 connects the network 12 on the other end side. The network 12 is connected to the base station device 14. The network 12 may be any network, for example, a wired network, a wireless network, or a combination thereof.

  The information providing apparatus 10 is connected to the network 12. With such a configuration, the terminal device 16 can communicate with the information providing device 10 via the base station device 14 and the network 12. Therefore, the terminal device 16 transmits the acquired position information to the information providing device 10 via the base station device 14 and the network 12. Based on the received position information, the information providing apparatus 10 forms a group of terminal apparatuses 16 (users) and selects information suitable for the group. The information providing apparatus 10 transmits information to the terminal apparatus 16 via the network 12 and the base station apparatus 14. Processing in the information providing apparatus 10 will be described later. In the following, the term “subject” meaning the user or / and the terminal device 16 and the term “subject identifier” meaning the user ID or / and the terminal ID are used. There is.

  FIG. 2 shows the configuration of the information providing apparatus 10. The information providing apparatus 10 includes a receiving unit 20, a position information management unit 22, a group information processing unit 24, an item selection unit 26, a user information storage unit 28, a provision information storage unit 30, a transmission unit 32, and a control unit 34. The group information processing unit 24 includes a group formation unit 40 and a point calculation unit 42.

  This configuration can be realized in terms of hardware by a CPU, memory, or other LSI of any computer, and in terms of software, it can be realized by a program loaded in the memory, but here it is realized by their cooperation. Draw functional blocks. Accordingly, those skilled in the art will understand that these functional blocks can be realized in various forms by hardware only, software only, or a combination thereof. For example, a distributed processing system in which the functions of the respective units constituting the information providing apparatus 10 are shared by a plurality of computers may be constructed. In that case, distributed processing corresponding to different computers for each function may be performed, such as causing the group information processing unit 24 to be in charge of the first computer and the item selection unit 26 to be in charge of the second computer. The computer may have all the processing units of the information providing apparatus 10.

  The operation of the information providing system 100 configured as above will be described. FIG. 3 is a flowchart showing an information providing procedure by the information providing apparatus 10. Briefly describing the outline of the processing, first, the group forming unit 40 forms a group (S100). Next, the point calculation unit 42 calculates leader points (S110) and normalizes the leader points (S120). Next, the item selection unit 26 calculates the preference level for the item attribute of the group (S130), and calculates the recommendation level (recommendation score) of the item (store) (S140). Then, the item selection unit 26 selects items (stores) in descending order of recommendation (S150). Details of each step will be described below together with the description of each part shown in FIG.

  The receiving unit 20 periodically receives location information, terminal ID, and date / time information from each terminal device 16 via the base station device 14 and the network 12. The receiving unit 20 outputs the position information, terminal ID, and date / time information to the position information management unit 22. The location information management unit 22 inputs the location information, terminal ID, and date / time information from the reception unit 20. The location information management unit 22 stores location information, terminal ID, and date / time information for each terminal device 16 in association with each other. Note that the receiving unit 20 may not receive the date / time information from the terminal device 16 and the position information management unit 22 may generate the date / time information based on the date / time when the position information and the terminal ID are acquired. FIG. 4 shows the data structure of the database stored in the location information management unit 22. Location information corresponding to various date information is stored for each of the plurality of terminal IDs. This is equivalent to storing time-series data of position information relating to a plurality of subjects. As described above, the subject indicates the user or the terminal device 16. The position information includes at least latitude and longitude information, but may include information such as altitude, moving direction, and acceleration.

  Next, processing of each unit will be described with reference to the flowchart of FIG. In step S <b> 100, the group forming unit 40 forms a group including a plurality of subjects based on the time series data of the location information related to the plurality of subjects stored in the location information management unit 22. A group is equivalent to putting together subjects that are presumed to be acting (moving) together. That is, the group forming unit 40 determines which terminal device 16 belongs to the group, and forms a group. More specifically, the group forming unit 40 uses the data stored in the location information management unit 22 to determine whether or not there are a plurality of terminal devices 16 within a predetermined distance for a predetermined time or more. If they exist, the terminal devices 16 are determined as one group. The predetermined time is set to 1 to 10 minutes, for example. The predetermined distance is set to 1 to 50 m, for example.

  Here, when the date and time recorded in the location information management unit 22 is slightly different for each terminal ID, it is desirable to correct the latitude and longitude according to the difference in date and time between the terminal IDs. For example, the first terminal device 16a with the terminal ID “A” has the same date and time corresponding to the second terminal device 16b with the date “2015/03/20 10:11:25” and the terminal ID “B”. When the position information of the date and time does not exist, two pieces of position information of the date and time adjacent to “2015/03/20 10:11:25” are extracted from the position information of the second terminal device 16b. When the two pieces of position information are, for example, “2015/03/20 10:11:00” and “2015/03/20 10:11:26”, the second terminal is interpolated between the two pieces of position information. The latitude and longitude of “2015/03/20 10:11:25” of the device 16b are calculated. In this example, a position that internally divides the position in “2015/03/20 10: 110: 00” and the position in “2015/03/20 10:11:26” into 25: 1 is calculated. In addition, the interpolation of position information is not limited to such linear interpolation, and nonlinear interpolation processing using three or more pieces of position information may be performed.

  Here, one method for performing group determination in the group forming unit 40 will be described with reference to FIG. FIG. 5 shows a data structure stored in the group forming unit 40. This is because, in a certain time zone (for example, 2015/1/1 10:00 to 10:03), between the first terminal device 16a to the eighth terminal device 16h existing in the area of the predetermined range and each terminal. Average distance (m) is shown. The terminal ID of the first terminal device 16a is indicated as “A”, the terminal ID of the second terminal device 16b is indicated as “B”, the terminal ID of the third terminal device 16c is indicated as “C”, The terminal ID of the fourth terminal device 16d is indicated as “D”. Similarly, the terminal ID of the eighth terminal device 16h is indicated as “H”. The average distance is calculated by calculating the distance between any two terminal devices 16 existing in a certain area at a predetermined time interval (for example, every second) in a predetermined length of period (for example, 3 minutes). It is the value which calculated those averages.

  The group forming unit 40 applies a rule for determining a group to the data when the average distance between terminals is 10 m (first threshold value) or less. As a result, the first terminal device 16a to the fifth terminal device 16e become the first group, the sixth terminal device 16f and the seventh terminal device 16g become the second group, and the eighth terminal device 16h becomes the third group. . Note that the group forming unit 40 sets a minimum value of the number of terminals that form one group, and does not need to form a group when the number is less than the number. For example, when the condition of at least three terminal devices 16 is applied, only the first group is formed in the data example shown in FIG. Further, the group forming unit 40 may set the maximum number of terminals that form one group. Moreover, the group formation part 40 may calculate the maximum value of distance instead of the average value of the distance between terminals in a predetermined period, and may form a group using this. Moreover, the group formation part 40 may calculate the dispersion | distribution and standard deviation which show the magnitude | size of the fluctuation | variation of the distance between terminals, and may form a group using this.

  For example, when the average value of the distance between terminals in a predetermined period is equal to or smaller than a first threshold and the standard deviation of the distance between terminals is equal to or smaller than a third threshold, It may be determined as a group. By using the standard deviation, the probability of erroneously recognizing the terminal device 16 that is not acting as a group as a group is reduced. Further, when the number of candidate terminals forming one group is large to some extent, the group forming unit 40 sets the first threshold even if the distance between the group candidate terminals exceeds the first threshold. If the number of distances exceeding the predetermined number is equal to or less than the predetermined number and the maximum value of the distance is equal to or less than the second threshold value, processing such as one group may be executed.

  For example, in the group determination process, when the number of terminal devices 16 that are candidates for a certain group is equal to or greater than a predetermined number (for example, seven), the following process is performed. Here, there are ten terminal devices 16 that are candidates for a group, and the distance between one of the terminal devices 16 (hereinafter referred to as “determination target terminal”) and the other nine terminal devices 16. Is 18 m, the second largest distance is 10 m, and the maximum distance between the other nine terminal devices 16 is 9 m. In this case, the number of distances exceeding the first threshold for group determination (for example, 10 m) is one, this number is equal to or less than a predetermined number (for example, two), and the maximum distance value (18 m). Is less than or equal to the second threshold value (for example, 20 m), the group forming unit 40 determines that the determination target terminal also belongs to the group. Note that the group determination process is not limited to the above-described method. For example, the group forming unit 40 applies various known cluster analysis methods to the distance between terminals, and corresponds the formed cluster to the group. You may perform using the process of making it.

  The group forming unit 40 generates a new group ID every time one group is formed, and stores it in the storage unit in the group information processing unit 24 as a database shown in FIG. FIG. 6 shows the data structure of the database stored in the group information processing unit 24. The database associates a group ID, a terminal ID (user ID), and a leader point (Rp), and is also called a group information table. The leader point is a numerical value obtained by estimating the influence of the user in the group based on the behavior of the user in the group. It shows that the influence of the user (terminal device 16) is so large that this numerical value is large. Although not shown in FIG. 6, the date and time (group start date and time) when a group was further formed may be recorded in the database. Furthermore, the date and time when the group was canceled (group end date and time) may be recorded in the database. For example, the group ID, terminal ID (user ID), leader point (Rp), group start date / time, and group end date / time may be associated and stored as a group information table.

  FIG. 6 shows a state in which a group with a group ID “G1” and a group with a group ID “G2” are formed. The example shown in this figure shows a state in which “G2” is formed after “G1” is formed and eliminated. The group with the group ID “G1” includes a first terminal device 16a, a second terminal device 16b, and a third terminal device 16c. Each leader point is “20”, “50”, and “30”. The leader point calculation method will be described later. The group with the group ID “G2” includes the first terminal device 16a, the third terminal device 16c, the sixth terminal device 16f, and the seventh terminal device 16g, and is an initial state in which the group is formed. Thus, in the initial state where the group is formed, the leader point of each user is “0”. The leader points stored in the group information table are updated as needed until one group action is completed. Furthermore, after one group action is completed, it is stored in the same value state without being updated. The term “temporary point” is sometimes used to indicate the leader point in the update continuation state.

  The point calculation unit 42 uses the time series data of the position information stored in the position information management unit 22 to estimate the influence on the decision making of the users in the group. Specifically, in step S110, the point calculation unit 42 calculates an influence value (leader point) as an index representing the influence of each user. That is, the point calculation unit 42 analyzes the time-series data of the position information of each terminal ID, and determines that the influence of the subject in the group is high with respect to each of the plurality of subjects included in the group. A feature action amount indicating a degree of matching with the action pattern is calculated. Furthermore, the point calculation unit 42 calculates or updates a leader point (temporary point) for each subject based on the characteristic behavior amount. Hereinafter, this process will be described in detail with reference to the flowchart of FIG.

  The point calculation unit 42 calculates leader points such that the higher the order determined by the position of the subject, the higher the value. Specifically, in step S200, the point calculation unit 42 defines, as a first predetermined action pattern, that the subject is positioned in a predetermined order (order) from the top of the group with reference to the moving direction of the group. The number of times the subject is positioned in a predetermined order is calculated as the characteristic action amount. Typically, the point calculation unit 42 counts the user's preceding frequency. The preceding frequency is the number of times that the user is positioned at the top of the group with reference to the moving direction of the group.

  An overview of the process in step S200 will be described with reference to FIG. In the example shown in this figure, the 1st terminal device 16a, the 2nd terminal device 16b, and the 3rd terminal device 16c are moving to the direction of the arrow. The point calculation unit 42 compares the latitude and longitude information of the past predetermined number (for example, 100 times) from the latest from the terminal ID and the latitude and longitude information stored in the location information management unit 22, for example. The user located at the head in the direction of travel is specified with. Moreover, the point calculation part 42 counts the frequency | count (preceding frequency) in a preceding position for every terminal ID. Furthermore, the point calculation part 42 calculates the influence value (leader point) which shows a user's influence using a precedence frequency. For example, it is assumed that the number of times each of the third terminal device 16c, the first terminal device 16a, and the second terminal device 16b is at the top of the position information measured 100 times is 60 times, 30 times, and 10 times. In this case, the leader points of the third terminal device 16c, the first terminal device 16a, and the second terminal device 16b are “60”, “30”, and “10”, respectively. Alternatively, when the position information of each terminal device 16 is updated every predetermined time (for example, every 5 seconds), the terminal device 16 positioned at the head of the group is specified at each update timing, and the leader point is set to a predetermined value. Processing such as incrementing (for example, “1”) may be performed.

  As described above, the characteristic action amount may be used as a leader point as it is, or a value obtained by multiplying the characteristic action amount by a predetermined coefficient may be used as the leader point. Such processing is based on the knowledge that when a person moves in a group, the influence of the user walking at the head of the group tends to be the greatest. In particular, when a group is moving while searching for a suitable store for a certain purpose, such a tendency is considered to be more prominent. The leader point can be said to be an index indicating the influence of the group user when searching and selecting items such as stores and products. The point calculation unit 42 adds the calculated leader point (leader point related to the preceding frequency) to the leader point of the group information table, and updates the group information table.

  Note that the point calculation unit 42 may count the number of times the user is positioned in a predetermined order, such as the second from the top and the third from the top, without being limited to the case where the user is at the top. In addition, the point calculation unit 42 may calculate the characteristic behavior amount so that the higher the position ranking from the top, the larger the value. That is, the point calculation unit 42 may set the leader point to a larger value as the position ranking from the top is higher. This is equivalent to adding leader points whose values are changed according to the order (order) from the top. For example, when it is positioned second from the top, leader points such as 50% when it is positioned at the top, and when it is positioned third from the top, 20% when it is positioned at the top are added.

  In addition, the point calculation unit 42 may determine the position order from the head used for calculating the leader point according to the number of subjects included in the group. For example, when the number of people in the group is small (less than the first predetermined number), only the first position from the top is considered, and the number of people in the group is medium (greater than the first predetermined number, and In the case of less than the second predetermined number), the positions from the head to the second are considered. Further, when the number of people in the group is large (when the number is a second predetermined number or more), the positions from the top to the third are considered.

  The point calculation unit 42 may calculate the leader point using the feature action amount as the feature action amount instead of the preceding frequency, and the distance moved at the head of the group. For example, within a predetermined time, the first terminal device 16a moves 500 m with the head positioned, the second terminal device 16b moves 300 m with the head positioned, and the third terminal device 16c is positioned head. And move 100m. Under the circumstances, if the moving distance in units of meters is a feature action amount, each feature action amount is “500”, “300”, and “100”. The point calculation unit 42 may calculate a leader point by multiplying the characteristic behavior amount by “0.1”, and calculate each leader point as “50”, “30”, and “10”. That is, the point calculation unit 42 may calculate the leader point so that the larger the distance moved at the head, the larger the value.

  The point calculation unit 42 may calculate the leader point using the characteristic action amount as the characteristic action amount for the length of time each terminal device 16 is located at the head of the group. For example, in 10 minutes (predetermined time), the time when the first terminal device 16a is positioned at the head is 2 minutes, the time when the second terminal device 16b is positioned at the head is 7 minutes, It is assumed that the time when the terminal device 16c is positioned at the head is one minute. Under the circumstances, if the time in minutes is a feature amount, the feature action amounts are “2”, “7”, and “1”. The point calculation unit 42 may calculate a value obtained by multiplying the characteristic behavior amount by “10” as a leader point, and calculate each of the leader points as “20”, “70”, and “10”. That is, the point calculation unit 42 may calculate the leader point so that the value becomes larger as the time at the head is longer. Furthermore, the point calculation unit 42 may calculate the leader point by arbitrarily combining the characteristic action amount related to the number of times, time, and distance located at the head of the group.

  Next, in step S210, the point calculation unit 42 uses the second predetermined action pattern as a pattern in which the subject moves from the time of division in the direction of movement after merging when the group divides into multiple groups and then merges. And the number of merges after the division is calculated as a feature action amount. At that time, the point calculation unit 42 determines whether the small group (including one user) has joined or joined based on the moving direction of the group after joining. That is, the point calculation unit 42 determines that the small group that has moved in the same direction as after the merge from the division time is the merged side, and adds the leader points of the users of the merged small group.

  Here, when a group joins again after a plurality of grouped terminal devices 16 take another action, the terminal ID that precedes the joined group has an influence on the group. Therefore, the point calculation unit 42 adds the leader point to this. FIGS. 9A to 9B show an outline of another process in the point calculation unit 42. In FIG. 9A, the first terminal device 16a, the second terminal device 16b, and the third terminal device 16c move in different directions. In FIG. 9B, following FIG. 9A, the first terminal device 16a and the second terminal device 16b join the third terminal device 16c, and the three terminal devices 16 move in the same direction. . When such a behavior pattern is detected, the point calculation unit 42 receives a predetermined value (for example, “30”) as the leader point of the joined terminal device 16 (in this example, the third terminal device 16c) per join. Is added.

  That is, the point calculation unit 42 updates the group information table by adding the leader point related to the joining action to the leader point of the group information table. When the joined small group is composed of a plurality of users, the point calculation unit 42 may add leader points for all of the users, or may have a predetermined order (for example, from the beginning) You may add only for the user located in the 1st and 2nd). In addition, the point calculation unit 42 may change the leader point to be added according to the order from the top in the small group on the joined side. For example, the point calculation unit 42 adds leader points such as “30” to the top user, “20” to the second user from the top, and “10” to the third user from the top.

  The point calculation unit 42 may calculate the leader points based on the number of subjects included in the small group when the group is divided into a plurality of groups. That is, the point calculation unit 42 may calculate the value of the leader point related to the joining action according to the number of users who have taken another action (the number of joined users). Specifically, the point calculation unit 42 calculates the value of the leader point related to the merging action so that the larger the number of persons who have taken another action (the more the number of small groups that have joined), the larger the value. . For example, the point calculation unit 42 is “20” when two people join after taking another action, “30” when three people join after taking another action, and four people take another action. When joining later, leader points such as “40” are added.

  The point calculation unit 42 may calculate the value of the leader point related to the joining action according to the number of people on the joined side. Specifically, the point calculation unit 42 calculates a leader point having a smaller value as the number of joined parties increases, and adds it to each joined user. For example, the point calculation unit 42 is “50” when the number of joined members is one, “30” when there are two, and “3” when there are three, respectively. Add leader points such as “10” for each person. When there are a plurality of joined users, the point calculation unit 42 may add the leader point related to the joining action to the user located at the top of the users. That is, the point calculation unit 42 may calculate a leader point having a smaller value as the number of joined parties increases, and may add the leader point related to the joining action to the user located at the head. For example, the point calculation unit 42 determines that “50” is 2 when the number of people on the joined side is 1, and “40” when the number of people is 2; A leader point such as “30” may be added to the person at the top of the list.

  Next, in step S220, when the subject stops, the point calculation unit 42 defines a pattern in which the other subject also stops following the stop as the third predetermined behavior pattern, and the number of movement stops is determined as the characteristic behavior. Calculated as a quantity. The stop following the stop means that immediately after a certain terminal device 16 (for example, the first terminal device 16a) stops moving, another terminal device 16 (a terminal device 16 other than the first terminal device 16a in the group). This is a situation where the movement is stopped. This situation is highly likely that a user who has stopped moving first finds a store or the like that he / she is interested in, stops there, and is considering entering the store. For this reason, the point calculation unit 42 adds a predetermined value (for example, “20” for each movement stop of the other terminal device 16 to the leader point of the terminal device 16 that has stopped moving first.

  The point calculation unit 42 may calculate a leader point based on the number of other subjects that have stopped following the stop. Specifically, the point calculation unit 42 calculates a leader point that becomes a larger value as the number of people stopped later increases. For example, the point calculation unit 42 adds leader points such as “20” when two people stop, “30” when three people stop, and “40” when four people stop. In addition, when there are a mixture of users who have stopped afterwards and users who have continued to move without stopping, the point calculation unit 42 determines the leader points related to the stopping action according to the percentage of users who stopped afterwards. It may be calculated. For example, when the number of stopped users is Ns and the number of continued users is Nc, the point calculation unit 42 calculates the ratio of the number of stopped users as Ns ÷ (Ns + Nc). Furthermore, the point calculation unit 42 is “40” when the ratio is 80% or more, “30” when the ratio is 60% to less than 80%, and “20” when the ratio is 40% or more to less than 60%. If it is less than 40%, leader points such as “0” are added. As described above, the point calculation unit 42 may calculate a leader point having a larger value as the ratio of the number of stopped people is larger.

  When the point calculation unit 42 determines whether the time-series data of the position information of each terminal device 16 matches at least one of the first predetermined action pattern to the third predetermined action pattern. In addition to the deterministic determination, the determination may be made probabilistically. In this case, the point calculation unit 42 uses a probability model that receives time-series data of position information and outputs a probability value corresponding to a predetermined behavior pattern of each terminal device 16.

  For example, in the process for the first predetermined behavior pattern in step S200, the point calculation unit 42 determines that the two terminal devices 16 from the top of the group are substantially side by side during a predetermined period (for example, 1 minute). The probability that the first terminal device 16a is first is calculated as “0.75” or the like. At that time, the point calculation unit 42 calculates the probability that the second terminal device 16b is ranked first as “0.25” or the like. For example, when it is not clear which is the first place, the first and second positions of the group are frequently switched in a short time and the state is not stable.

  In addition, for example, in the process for the third predetermined behavior pattern in step S220, the point calculation unit 42 stops the movement of the first terminal device 16a that has stopped moving and the other terminal devices 16 have greatly reduced the moving speed. In the case where the vehicle moves slowly without moving, the probability of matching with the third predetermined behavior pattern is calculated as “0.2” or the like. The point calculation unit 42 may use the calculated probability value as it is as the feature action amount, or may use a value obtained by multiplying the probability value by a predetermined coefficient (for example, 100 times) as the feature action amount.

  As explained so far, the characteristic behavior amount is the degree (number of times, time, the time series data of a subject's location information matches the predetermined behavior pattern determined that the subject's influence in the group is high. It can be said that it is an index indicating distance, probability). Furthermore, since the leader point is the sum of the characteristic behavior amount for each subject in a predetermined period (for example, from the group formation time to the group cancellation time), the larger (larger) the characteristic behavior amount, the higher (larger) the leader point. It has the property to become.

  Returning to the flowchart of FIG. In step S120, the point calculation unit 42 normalizes the leader point (influence value) of each terminal ID. For example, when there are three users in the group, the leader points of each user are normalized so that the total value of the three leader points is “1.0” or “100”. Or you may normalize so that the leader point maximum value of the member in a group may become a predetermined value (for example, "100"). Normalization processing stops at a predetermined time interval (for example, once per minute), every time the group moves by a predetermined distance (for example, 100 m), or the group stops moving for a predetermined time (for example, 30 seconds) or more. It is executed every time. Further, the information providing apparatus 10 may be executed at a timing when the information providing request is received from the terminal device 16 of the group. The point calculation unit 42 reads the leader points of the terminal ID = i (i = 1 to N) from the group information table, where N is the number of users (terminal devices 16) belonging to the group to be processed, and calculates the total value thereof. calculate. The point calculation unit 42 may use a value obtained by dividing the leader point by the total value as a normalized leader point. The point calculation unit 42 stores the group ID, the terminal ID, and the calculated normalized leader point in the storage unit in the point calculation unit 42 in association with each other. By storing normalized leader points in a different area from the database storing the leader points shown in FIG. 6, group actions are ongoing, and updating of the leader points of each terminal device 16 is continued. The normalized reader can be calculated at any timing, and the information providing process can be performed. However, it is also possible to omit this normalization processing and use leader points that are not normalized in the following processing. In the following, it is assumed that the leader point of the user belonging to the group to be processed is P [i] (i = 1 to N). In the following description, it is assumed that P [i] is normalized.

  The item selection unit 26 selects an item to be presented to the group so that a subject having a high leader point calculated by the point calculation unit 42 is given priority. For this purpose, in step S130, the item selection unit 26 adds a preference level for the item attribute in the user corresponding to each subject while weighting by the leader point of each subject calculated in the point calculation unit 42, thereby adding a group. Degree of preference for item attributes. Here, the item attribute is attribute information indicating the nature of the item. For example, when describing the nature of a restaurant, the genre of food provided by the store, the store size (large, medium, small, etc.), the type of location (such as downtown, suburbs, etc.), the type of store atmosphere (high quality, common people, etc.) Item attributes such as target, lively, and quiet. In this embodiment, the cooking genre is used as the item attribute, but processing using other item attributes is also possible. Moreover, it is common that one item attribute (for example, Japanese food) corresponds to a plurality of items (for example, restaurant-1, restaurant-2, restaurant-3). The process of step S130 will be specifically described. First, the item selection unit 26 acquires preference information indicating the preference for the cooking genre for each terminal ID in the group from the user information storage unit 28.

  The user information storage unit 28 stores user preference information for each terminal ID that identifies a terminal device or each user ID that identifies a user. FIG. 10 shows a data structure of a database (user preference database) stored in the user information storage unit 28. In the present embodiment, it is assumed that one user occupies and uses one terminal device 16 like a mobile phone / smartphone, and the terminal ID and the user ID are substantially equal. In the present embodiment, the preference information of the user who uses the terminal device 16 is managed for each terminal ID. Of course, it is also possible to correspond to. As shown in the figure, preference information (preference degree) for the user's cooking genre is shown, and the numerical value (score) is a numerical value indicating the number of visits to the store of each genre and the degree of preference for each genre. In the example shown in the figure, normalization is performed so that the total preference degree of each terminal ID becomes a constant value. However, the present invention is not limited to this, and a non-normalized preference degree may be used. Good.

When the total number of cooking genres is M, and the preference level of the terminal device i (terminal ID = i) for the cooking genre j (j = 1 to M) is F [i] [j], the item selection unit 26 sets the group genre. The preference degree A [j] for the cooking genre j is calculated as follows. That is, the preference level of a user with a large leader point is reflected more strongly in the preference level of the group.

  The item selection unit 26 selects an item based on the preference level for the item attribute in the group derived in step S130 (preference level for the cooking genre). For this purpose, in step S140, the item selection unit 26 calculates the recommendation level (recommendation score) of each item (store) for the group. At that time, the item selection unit 26 refers to the database stored in the provision information storage unit 30. The provided information storage unit 30 includes a store ID for identifying a store, a store name, a genre of food provided by the store, location information (latitude and longitude) of the store, an address, and a contact information (telephone number, mail address). Etc.), an explanatory note for introducing the store, and information relating to the evaluation score are stored. FIG. 11 shows the data structure of the store database stored in the provision information storage unit 30. The evaluation score is a numerical value of the reputation of the store. Like a word-of-mouth website on the Internet, it may be created by voting / posting by a large number of users, or may be scored by a cooking expert or critic. In the example of FIG. 11, a score of 100 points is used. One store may correspond to a plurality of cooking genres. For example, a certain store may support both “French” and “Italian”.

More specifically, the item selection unit 26 sets the total number of stores (stores that are recommended candidates) registered in the store database as K, and the evaluation score of the store k (k = 1 to K) as R [k]. The recommendation degree S [k] (k = 1 to K) of the store k for the group is calculated as follows. Here, δ (k, j) is a function that returns “1” when the store k corresponds to the cooking genre j, and returns “0” when it does not correspond. In other words, the processing according to the formula (1) and the formula (2) calculates the recommendation degree for each item in the group by adding the preference degree to the item attribute of each member constituting the group while weighting with the leader point. It can be said that it is processing. It should be noted that, depending on the current position of the group, the stores for which the recommendation level is calculated may be narrowed down, or the distance between the current position of the group and the store may be reflected in the recommendation level of the store.

  In step S150, the item selection unit 26 selects a predetermined number of stores from the stores registered in the store database in descending order of recommendation degree S [k] (k = 1 to K). Or you may select the store whose recommendation degree is more than predetermined value. The item selected by the item selection unit 26 is also referred to as “recommended item”. Thus, the item selection unit 26 selects an item based on the leader points calculated by the point calculation unit 42. For example, the preference information is shown as in FIG. 10, and among the position information measured 100 times, the number of times the third terminal device 16c was at the head is 60 times, the first terminal device 16a is 30 times, the second terminal device Assume that 16b is 10 times. The influence values of the respective terminal IDs are the first terminal device 16a = 0.3, the second terminal device 16b = 0.1, and the third terminal device 16c = 0.6. As a result, the preference level of the group for Japanese food is “5 × 0.3 + 2 × 0.1 + 2 × 0.6 = 2.9”. If other dishes genres are calculated in the same manner, French = 1.9, Italian = 4.9, ethnic = 2.4, fast food = 3.9, and the Italian preference is the highest in this group.

  Here, the degree of recommendation of the store is calculated using the leader points of all the users in the group, but other methods may be used. For example, the item selection unit 26 may select one user with the highest leader point in the group, and the user's preference level itself may be the group preference level. That is, the item selection unit 26 may determine recommendation information (recommended store information) using preference information of one user who has the most influence. Further, the item selection unit 26 may select a predetermined number of users in descending order of leader points in the group, and determine recommendation information based on the selected user's leader points.

In the above description, the item (store) is selected after calculating the group preference for the item attribute (cooking genre), but the group preference for the item (store) is calculated without calculating the group preference for the item attribute. It may be calculated directly. For example, instead of the user preference database shown in FIG. 10, store-specific preference data (not shown, user IDs) that associate terminal ID (i), store ID (k), and preference degree Fs [i] [k]. The user preference storage unit 28 stores item preference data). Then, the recommendation degree S [k] (k = 1 to K) of the store k can be calculated using the equation (3) instead of the equations (1) and (2).

  That is, the recommendation degree for each item in the group is calculated by adding the degree of preference for each item constituting the group while weighting with the leader point. Here, when the preference degree of the terminal i for the store k is not registered, Fs [i] [k] = 0 is set. R [k] is an evaluation score of the store k registered in the store database, but the recommendation degree S [k] may be calculated without using it. That is, the recommendation degree may be calculated by setting R [k] = 1 in Equation (3).

  In the method using the formula (3), when the preference degree of the group terminal device 16 is registered for many stores, the recommendation degree can be calculated with high accuracy. When there is little separate preference data, the accuracy of the recommendation level decreases. In addition, there is a restriction that a store cannot be recommended unless the preference level of at least one person in the group is registered. In some cases, the number of recommended items cannot be obtained sufficiently. Compared to the method for calculating the preference level of the group with respect to the item attribute described above, a larger number of recommended items can be easily obtained because more stores can be recommended candidates.

  Moreover, the item selection part 26 may determine whether the group visited the store etc. which were described in recommendation information, and may reflect the information on the next recommendation information. Whether or not the group has visited a store or the like described in the recommendation information is whether or not the position information of each terminal device 16 of the group substantially matches the position information of the store for a predetermined time (for example, 5 minutes) or longer. Can be determined. When the group acts according to the recommendation information, the item selection unit 26 has a high possibility that such recommendation will be accepted by the group in the future. Process to make it easier to enter.

  Specifically, when the user preference information F as shown in FIG. 10 is updated, the item selection unit 26, when visiting the store based on the recommendation information, has more than the other visits. Add numbers. For example, in the example shown in FIG. 10, when the store is visited according to the recommendation information, where the numerical value is normally increased by “1” for one visit to the store, processing such as increasing the numerical value by “2” may be performed. In addition to making the score of the corresponding cooking genre larger than usual, store-specific preference data (not shown) in which the terminal ID, the store ID, and the preference level are associated with each other is stored in the user information storage unit 28, and the item is selected. The unit 26 may perform processing such as increasing the preference degree of the store (store ID) visited by the user (terminal ID) according to the recommendation information, compared to the normal processing. Furthermore, the item selection unit 26 may perform a process of reflecting the store-specific preference data when the next recommendation information is created. Moreover, the item selection part 26 performs the process which makes the preference degree of preference data classified by store small when a group does not visit the store etc. which were described in recommendation information, and uses it as a previous recommendation and visit. Processing that makes it difficult to enter the recommended information for the next store may be performed.

  The control unit 34 controls the information providing apparatus 10 as a whole. Further, the control unit 34 causes the transmission unit 32 to transmit information (recommended information) related to the item (recommended item) selected by the item selection unit 26. Specifically, necessary data relating to the recommended item is read from the store database shown in FIG. 11, recommendation information is created, and transmitted to the transmission unit 32. The transmission unit 32 transmits the recommendation information to the group terminal device 16 via the network 12 and the base station device 14. This transmission (recommendation information provision) may be performed periodically by the information providing apparatus 10, or an information provision request may be received from at least one terminal device 16 in the group and transmitted as a response thereto. . When the information providing apparatus 10 periodically transmits, for example, during a period in which the group is formed, the information providing apparatus 10 may transmit at a predetermined time interval (for example, once per minute), or the group has a predetermined distance. It may be transmitted every time (for example, 100 m) is moved. Further, the provision of information may be stopped by detecting that the group has been canceled. In addition, when the group has stopped for a long time at a position that matches the latitude and longitude of the store registered in the store database, it may be determined that the store has entered a certain store, and information provision may be stopped. In addition, since the information providing apparatus 10 can accurately grasp the number of terminals (number of people) of the group, whether all the groups enter when providing recommended information by combining data indicating the availability of stores. You may show whether or not. Moreover, the item selection part 26 may restrict | limit to the shop which all the group puts, selects the shop to recommend, and may provide the recommendation information based on it. FIG. 12 shows a data structure of information transmitted from the transmission unit 32. As shown in the figure, recommended store information (recommended information) is configured in a ranking format. The recommended order, store ID, recommendation level (recommended score), store name, store description, current availability, and store location information ( Latitude, longitude), address, contact information (telephone number, mail address, etc.), and information such as the distance from the current position of the terminal device 16.

  FIG. 13 shows the configuration of the terminal device 16. The terminal device 16 includes an acquisition unit 50, a display unit 52, a control unit 54, a transmission unit 56, and a reception unit 58. The acquisition unit 50 has a positioning function using GPS, wireless LAN, or the like, and periodically acquires the position information of the user or the terminal device 16 by measuring the position of the terminal device 16. The position information is indicated by latitude and longitude. The acquisition unit 50 sequentially outputs position information to the control unit 54.

  The control unit 54 sequentially inputs the position information from the acquisition unit 50. The control unit 54 controls communication timing in the transmission unit 56 and the reception unit 58. The control unit 54 sequentially outputs position information to the transmission unit 56 when the transmission timing comes. The transmission unit 56 transmits the position information sequentially input from the control unit 54 to the information providing device 10 via the base station device 14 and the network 12. Since such position information is sequentially transmitted, it corresponds to transmitting time-series data of position information. As described above, the terminal ID and date / time information are also transmitted together with the position information. As described above, the terminal device 16 may not transmit the date / time information.

  The receiving unit 58 receives information (recommended information) on the item selected in the information providing apparatus 10 that has transmitted the time-series data of the position information in the transmitting unit 56 from the information providing apparatus 10 via the base station apparatus 14 and the network 12. To do. The information providing apparatus 10 may periodically transmit recommendation information to the terminal apparatus 16. Also, data requesting recommendation information (recommendation information request) is transmitted from the transmission unit 56 to the information providing apparatus 10, and as a response, the information providing apparatus 10 transmits recommendation information, and the reception unit 58 receives it. Also good. The receiving unit 58 outputs the received information to the control unit 54. The control unit 54 causes the display unit 52 to display information (recommendation information) related to the item received by the receiving unit 58. The display unit 52 displays a screen as shown in FIG. As shown in the figure, information such as a recommendation rank, a recommendation rank, a store name, a store description, a current availability, an address, and a distance from the current position is displayed for each recommended store. Here, the recommendation rank is information that roughly indicates the magnitude of the recommendation level, and is information that the control unit 54 creates based on the recommendation level. For example, when the recommendation degree is a numerical value in the range of 0 to 10, a store with a recommendation degree of 8 or more is “★★★”, a store with a recommendation degree of 6 or more and less than 8, “★★”, and a recommendation degree of 6 The recommended rank may be determined using a predetermined rule such as “★” for less than stores. Note that the information providing apparatus 10 may transmit the recommendation rank. Further, the recommendation level may be displayed as it is instead of the recommendation rank. Note that the store ID included in the recommendation information is not particularly meaningful information for the user, and may or may not be displayed. For example, when the user requests detailed information on a specific store, the store ID of the store designated by the user is transmitted from the terminal device 16 to the information providing device 10 so that the processing can be performed efficiently. In the example shown in the figure, a “map display” button and a “contact” button are displayed for each recommended store. When the user presses the “map display” button, the location information (latitude, longitude) or address of the store is transmitted to the map application built in the terminal device 16 or an external map providing service, and the store is displayed on the map. The Further, when the user presses the “contact” button, the store can be contacted via a call application, a mail application, an external communication service, or the like built in the terminal device 16. Moreover, as shown in this figure, “a restaurant list recommended for a group of five people in the XX district” and the like, the name of the area where the group is located, and the number of people in the group may be displayed. In addition, the user may input conditions regarding the recommended rank, the desired store genre, the distance from the current position, and the like to the terminal device 16, and display only the store information that matches the conditions.

  In the description so far, the information providing apparatus 10 performs the calculation of the characteristic action amount and the leader point, but other methods can also be used. For example, the terminal device 16 exchanges position information with the nearby terminal device 16 as needed, and forms a group using its own position information and the position information of the other terminal devices 16. Moreover, you may calculate a feature action amount and a leader point about the terminal device 16 contained in a group. That is, the location information management unit 22 and the group information processing unit 24 may be included in the terminal device 16. Each terminal device 16 in the group may calculate only its own leader point, or a specific terminal device 16 may calculate the leader points of a plurality of terminal devices 16 collectively. The terminal device 16 that has calculated the leader point transmits it to the information providing device 10. The item selection unit 26 and the transmission unit 32 of the information providing apparatus 10 perform the same processing as before based on the received leader points, and select an appropriate item for the group.

  As described above, the point calculation unit 42 calculates the leader point using the latitude and longitude information of the terminal device 16 stored in the position information management unit 22, but another method may be used. . For example, an image / video of a surveillance camera installed in a shopping mall or a shopping street is analyzed, and using the image recognition technique, the group forming unit 40 executes group formation processing, and the point calculating unit 42 is a leader point. The update process may be executed. In this case, in order to receive the recommendation information, at least one user in the group only needs to have the terminal device 16, and it is not necessary for all members of the group to carry the terminal device 16. In addition, latitude and longitude information is not necessarily required as long as the relative positional relationship and relative movement information of the users in the group can be acquired. In addition, by using a face recognition technology by linking a surveillance camera installed in a shopping mall or shopping street with a surveillance camera installed at the entrance of the store, the leader point of any person at the time of entering the store is high. Or the store clerk knows who has the lower leader points. Knowing such information can improve customer service and improve efficiency, such as giving menus and wine lists preferentially to people with high leader points.

  Moreover, the point calculation part 42 may acquire the group action history in a shop, and may estimate the influence which concerns on goods selection. For example, the point calculation unit 42 identifies a user who first arrives at a shelf of a product purchased by a certain user, performs a process such as adding the user's point, and the like, and performs a leader point (influence value for product selection). ) May be calculated. That is, not only when the selection target is a store, leader points (influence values) related to item selection (selection) including products and the like are calculated.

  According to the present embodiment, since a group is formed based on time-series data of position information, a plurality of subjects who act together can be grouped. In addition, since grouping is automatically performed, convenience for the user can be improved. In addition, based on the time-series data of the position information, the leader point is calculated after calculating the characteristic action amount indicating the degree of matching with a predetermined action pattern that is considered to have a high influence of the subject in the group. Leader points can be derived in consideration of the influence of users. Moreover, since the item which should be shown with respect to a group is selected so that a main body with a high leader point may be given priority, the item which considered the influence of the user in a group can be selected.

  In addition, at least one of the number of times the movement pattern of the subject in the time-series data of the position information matches a predetermined action pattern, the matching time, the matching moving distance, and the matching probability is calculated as the characteristic action amount. Therefore, it is possible to derive the characteristic behavior amount that matches the degree of match of the behavior pattern. In addition, since the leader point is calculated so as to be higher as the feature action amount is larger, the leader point corresponding to the degree of match of the action pattern can be derived. In addition, since the predetermined behavior pattern is a pattern in which the subject is located at a predetermined position from the top of the group with reference to the moving direction of the group, the influence of the user according to the position where the user in the group exists Can be estimated with high accuracy. Moreover, since the leader point that is higher as the predetermined order is higher is calculated, it can be estimated that the influence of the user existing at the head of the group is greater.

  In addition, the predetermined behavior pattern is a pattern in which the subject moves from the time of division in the direction of movement after merging when the group divides into multiple pieces, so the influence of the user is estimated with high accuracy it can. In addition, since the leader point is calculated based on the number of subjects included in the small group when the group is divided into a plurality of groups, the magnitude of the influence can be estimated with high accuracy. In addition, since the predetermined behavior pattern is a pattern in which when the subject stops, the other subject also stops following the stop, the influence when the subject stops can be estimated. In addition, since the leader point is calculated based on the number of other subjects that have stopped following the stop, the magnitude of the influence can be estimated with high accuracy. Moreover, since the leader point is calculated according to the number of subjects included in the group, the magnitude of the influence can be estimated with high accuracy.

  In addition, by adding the degree of preference for the item for the user corresponding to each subject while weighting by the leader point, the degree of recommendation for the item in the group is derived, and the item is selected according to the degree of recommendation, so the user for the group Items that take into account the influence of can be selected. In addition, since the preference for the item attribute in the group is derived by adding the preference for the item attribute for the user corresponding to each subject while weighting by the leader point, the preference considering the influence of the user on the group Can be derived. In addition, since an item is selected based on the degree of preference for the item attribute in the group, an item considering the influence of the user on the group can be selected from a larger number of recommended candidates. In addition, a specified number of subjects are identified in descending order of the calculated leader points, and items are selected based on the identified subject's leader points. it can. Also, by considering the influence of the users in the group, it is possible to provide information that leads to actual behavior with higher accuracy than the method of considering the influence of the users in the group as equal. Further, the influence can be estimated only from the position information of the terminal device without registering information on the influence of the users in the group in advance.

(Example 2)
Next, Example 2 will be described. As in the first embodiment, the second embodiment relates to an information providing system including a plurality of terminal devices and an information providing device that can be connected thereto. The information providing apparatus according to the second embodiment also forms a group using position information of a plurality of terminal devices and estimates the influence of each user in the group. When estimating the influence of each user, User attribute information is also used. The information providing system 100 and the terminal device 16 according to the second embodiment are the same type as those in FIGS. Here, the difference will be mainly described.

  FIG. 15 shows the configuration of the information providing apparatus 10 according to the second embodiment of the present invention. The information providing apparatus 10 is configured in the same manner as in FIG. 2, but the group information processing unit 24 is configured to be able to refer to a database stored in the user information storage unit 28. The point calculation unit 42 calculates the leader point by estimating the influence within the group using not only the position information but also the attribute information (age, gender, etc.) of the user corresponding to the subject. The user information storage unit 28 stores user attribute information. FIG. 16 shows the data structure of the database stored in the user information storage unit 28. The terminal ID (or user ID) is stored in association with user attribute items such as date of birth, gender, place of work, job title, annual income, and monthly allowance. This is an example, and data of other user attribute items may be stored, or only some attribute items may be stored. Returning to FIG.

  The point calculation unit 42 according to the first embodiment calculates the leader point based on the position information, but the point calculation unit 42 according to the second embodiment calculates a leader point based on the user attribute information in addition thereto. Furthermore, the point calculation unit 42 calculates a total leader point using two leader points. In the following, it is assumed that the leader point based on the position information of the terminal device i is Pg [i], the leader point based on the user attribute information is Ph [i], and the comprehensive leader point is P [i]. The point calculation unit 42 calculates the leader point Ph [i] based on the user attribute information by the following method.

  The first method is a method of calculating based on rules set for each user attribute item. For example, since the influence of a user who is older is generally high, Ph [i] can be calculated based on the date of birth. Specifically, the point calculation unit 42 assigns a larger leader point as the age is higher, based on the date of birth of the users in the group. For example, the point calculation unit 42 gives a leader point of “10” to the user who is the oldest, “7” to the user who is the second highest, and “5” to the user who is the third highest. Moreover, the point calculation part 42 may be made to give the leader point of the value larger than 0 and 1 or less according to age by making the maximum value of the leader point to give into 1. Further, the point calculation unit 42 may include a rule such as giving the same leader point by ignoring the age difference when the age difference is equal to or less than a predetermined value with a person having a different age rank.

  The point calculation unit 42 may use a rule such that a higher leader position gives higher leader points. For example, leader points such as “10” are assigned to the president, “5” to the general manager, and “2” to the general manager. In addition, the point calculation unit 42 may calculate leader points according to the annual income or the amount of the pocket money for this month. For example, since a person having higher annual income tends to have higher influence, a value obtained by multiplying annual income by a predetermined coefficient (0.1% or the like) can be set to Ph [i]. In addition, the point calculation unit 42 may give a leader point such as “10” to the person with the highest annual income, “8” to the second person, and the predetermined leader point according to the order of the annual income. It may be given. The same is true for this month's pocket money, but this month's pocket money may accurately represent the amount of money each person can use at restaurants, etc., so it may be possible to estimate influence more accurately than using annual income. . The point calculation unit 42 may calculate leader points based on gender.

The second method is a method of adding a leader point calculated for each user attribute item using a plurality of user attribute items. That is, the point calculation unit 42 calculates leader points based on a plurality of items included in the user attribute information. First, the point calculation unit 42 determines the leader point Ph [1] [i] related to the date of birth using the rule “the leader point becomes higher as the age increases” described in the first method. calculate. Next, the point calculation unit 42 calculates the leader point Ph [2] [i] related to the position by using the rule “the higher the position is, the higher the leader point is” as described in the first method. In this way, the point calculation unit 42 calculates Ph [l] [i] (l = 1 to L, i = 1 to N) for the L user attribute items. A leader point Ph [i] based on the user attribute information is calculated. Here, w [l] (l = 1 to L) is a predetermined weight coefficient determined for each user attribute item, and w [l]> 0.

  The third method is a method of calculating based on a rule set using a combination of a plurality of user items. For example, the point calculation unit 42 calculates a relatively high leader point of a user having a date of birth within a predetermined range and a predetermined gender. For example, women of a certain age group tend to have a high level of demand for restaurants, so the date of birth is in a predetermined range and a given leader point is given to a user whose gender is female. Such user preferences are easily reflected in group decision making. This third method may be used alone or in combination with other methods. For example, the point calculation unit 42 first calculates a leader point according to the equation (4), and then, for the user whose birth date is in a predetermined range and a predetermined gender, “10” leader points. Processing such as adding may be performed.

  The fourth method is a method using rules that take into account the organization to which the user belongs. At that time, the point calculation unit 42 refers to the information stored in the user information storage unit 28. FIG. 17 shows the data structure of another database stored in the user information storage unit 28. This indicates a business relationship between companies. This shows a situation in which company X orders work from company Y and company Y orders work from company Z. In general, since the person of the ordering company often chooses a restaurant or the like in accordance with the preference of the person of the ordering company, such a tendency is reflected in the leader point. In the example shown in FIGS. 16 and 17, the leader point of the user at work = X is the highest, the leader point of the user at work = Y is the next highest, and the leader point of the user at work = Z is the lowest. . Further, when there are a plurality of users having the same place of work, those leader points may be set to the same value, or a difference may be given using attribute items such as date of birth, gender, and post.

  The fifth method is a method using the relationship between the date of birth and the date (current date and time) for processing. For example, when a user whose leader point is calculated is May 3, 2015 and a user whose birth date is May 3, 1979 exists in the group, the birthday party of the person can be held. Therefore, the point calculation unit 42 calculates the leader point of the person higher than usual. That is, the point calculation unit 42 calculates a relatively high leader point of a user whose processing date corresponds to the birthday or the vicinity of the birthday. As described above, the point calculation unit 42 calculates leader points according to the relationship between the date on which the process is executed and the attribute information of the user.

  The sixth method is a method that uses the relationship between sex and the month and day (current date and time) for processing. For example, when the current date and time for calculating the leader point is White Day on March 14, 2015, there is a high possibility that a man will select a restaurant according to the preference of the woman. Is calculated higher than usual. The point calculation unit 42 may use any one of the first to sixth methods described above, or may use a plurality of methods in combination.

ここで、実施例１で説明した端末ｉの位置情報に基づくリーダーポイントをＰｇ［ｉ］（実施例１においてはＰ［ｉ］と表記）、ユーザ属性情報に基づくリーダーポイントをＰｈ［ｉ］と示す。また、α１、α２は、α１＞０、α２＞０を満たす所定の係数である。つまり、ポイント算出部４２は、位置情報に基づくリーダーポイントとユーザ属性情報に基づくリーダーポイントとの重み付き加算を実行する。なお、α１＝１、α２＝１として、位置情報に基づくリーダーポイントとユーザ属性情報に基づくリーダーポイントとの和（加算値）を総合的なリーダーポイントとしてもよい。 Next, the point calculation unit 42 calculates a comprehensive leader point P [i] as follows.

Here, the leader point based on the position information of the terminal i described in the first embodiment is represented as Pg [i] (in the first embodiment, represented as P [i]), and the leader point based on the user attribute information is represented as Ph [i]. Show. Α1 and α2 are predetermined coefficients satisfying α1> 0 and α2> 0. That is, the point calculation unit 42 performs weighted addition of the leader point based on the position information and the leader point based on the user attribute information. Note that α1 = 1 and α2 = 1, and the sum (added value) of the leader point based on the position information and the leader point based on the user attribute information may be used as a comprehensive leader point.

ここで、γ１、γ２は、γ１＞０、γ２＞０を満たす所定数である。すなわち、Ｐｇ［ｉ］を基数とし、γ１を指数とする累乗値と、Ｐｈ［ｉ］を基数とし、γ２を指数とする累乗値との積（乗算値）をＰ［ｉ］とする。Ｐｇ［ｉ］をＰｈ［ｉ］に強く反映させたい場合は、γ１を大きな値にし、Ｐｈ［ｉ］をＰｈ［ｉ］に強く反映させたい場合は、γ２を大きな値にするとよい。なお、γ１＝１、γ２＝１として、位置情報に基づくリーダーポイントとユーザ属性情報に基づくリーダーポイントとの積（乗算値）を総合的なリーダーポイントとしてもよい。ポイント算出部４２が、式（５）または式（６）に基づいて、総合的なリーダーポイントをＰ［ｉ］を算出した後、実施例１と同様な処理が実行されればよい。つまり、式（５）または式（６）に基づいて算出したＰ［ｉ］が式（１）に代入される。 Further, the point calculation unit 42 may calculate the comprehensive leader point P [i] as follows.

Here, γ1 and γ2 are predetermined numbers that satisfy γ1> 0 and γ2> 0. That is, a product (multiplication value) of a power value with Pg [i] as a base and γ1 as an exponent and a power value with Ph [i] as a base and γ2 as an exponent is P [i]. If Pg [i] is to be reflected strongly in Ph [i], γ1 should be set to a large value. If Ph [i] is to be reflected strongly in Ph [i], γ2 should be set to a large value. Note that γ1 = 1 and γ2 = 1, and the product (multiplication value) of the leader point based on the position information and the leader point based on the user attribute information may be used as a comprehensive leader point. After the point calculation unit 42 calculates P [i] as a total leader point based on the formula (5) or the formula (6), the same processing as in the first embodiment may be executed. That is, P [i] calculated based on Expression (5) or Expression (6) is substituted into Expression (1).

  According to the present embodiment, the leader point is calculated even in accordance with the attribute information of the user corresponding to the subject, so that it is possible to improve the accuracy of estimating the influence of the user in the group. In addition, since the leader point is calculated based on a plurality of items included in the user attribute information, the estimation accuracy can be improved. In addition, since the leader point is calculated according to the relationship between the date for executing the process and the attribute information of the user, the influence can be estimated while taking the date for executing the process into consideration.

Example 3
Next, Example 3 will be described. The third embodiment relates to an information providing system including a plurality of terminal devices and an information providing device that can be connected to them as in the past. Similarly to the second embodiment, the information providing apparatus according to the third embodiment forms a group using position information of a plurality of terminal devices and estimates the influence of each user in the group. Example 3 assumes the case where a group is a family. The information providing system 100, the terminal device 16, and the information providing device 10 according to the third embodiment are the same types as those in FIGS. Here, the difference will be mainly described.

  The group forming unit 40 in FIG. 15 changes the conditions for forming a group according to the attribute information of the user corresponding to the subject. User attribute information is stored in the user information storage unit 28. FIG. 18 shows the data structure of another database stored in the user information storage unit 28 according to the third embodiment of the present invention. As shown in the figure, the terminal ID is registered for each family. Returning to FIG. When the terminal ID is registered for each family, the group forming unit 40 relaxes the condition for determining these terminal devices 16 as one group as compared with a normal case. For example, when determining the terminal devices 16 existing within a predetermined distance for a predetermined time or more as one group, the group forming unit 40 makes the threshold of the distance between the terminals longer than usual, or sets the predetermined time. Or shorten it. The process is based on the assumption that families are likely to act together toward a common destination. For example, even in the process of heading to the destination, even if the child temporarily goes away first, it is possible to maintain the determination of group behavior and provide appropriate information.

  The point calculation unit 42 uses the date of birth and the relationship registered in the database shown in FIG. 18 to lower the leader point based on the position information of a child under a predetermined age (for example, an elementary school student or less) lower than the parent. I do. For example, even if the number of times the child is positioned at the top of the group is large, the point calculation unit 42 performs a process that does not reflect much on the leader point based on the position information. Specifically, the point calculation unit 42 multiplies the number of times the head position is observed for a child terminal device 16 of a predetermined age or less by 0.1, or sets the upper limit to the number of head positions used for leader point calculation. Control processing such as providing Small children often act impulsively and suddenly, but by performing such control processing, leader points based on position information can be accurately calculated.

  In addition, the point calculation unit 42 may generally perform the process of making the mother's leader point the largest since the mother's influence in the home is the strongest. Further, the point calculation unit 42 may calculate using the relationship between the date and time (current date and time) for processing and the relationship in the home. For example, when the current date and time for calculating the leader point is June 21, 2015, which corresponds to Father's Day, the point calculation unit 42 may calculate the father's leader point higher than usual.

  According to the present embodiment, since the conditions for forming a group are changed according to the attribute information of the user corresponding to the subject, it is possible to form a group suitable for the circumstances of the family or the like. In addition, since the leader points are calculated according to the family structure, the influence within the family can be estimated with high accuracy.

Example 4
Next, Example 4 will be described. The fourth embodiment relates to an information providing system including a plurality of terminal devices and an information providing device that can be connected to them as in the past. The information providing apparatus according to the fourth embodiment also forms a group using position information of a plurality of terminal devices, and estimates the influence of each user in the group, as before. On the other hand, until now, common information has been provided to the users in the group. In the fourth embodiment, at least one of position information, user preference information, and user attribute information is used to create one group. A plurality of subgroups are formed therein, and appropriate information is provided to each subgroup. The information providing system 100, the terminal device 16, and the information providing device 10 according to the fourth embodiment are the same types as those in FIGS. Here, the difference will be mainly described.

  The group forming unit 40 in FIG. 15 forms at least two subgroups by classifying a plurality of subjects included in the group into at least two subgroups. As described above, the group forming unit 40 calculates matrix data indicating the average distance between terminals as shown in FIG. 5 based on the position information stored in the position information management unit 22. The group forming unit 40 forms a subgroup using this matrix data. The group forming unit 40 sets a predetermined threshold value for forming a subgroup, and performs a process of causing terminal devices whose average distance between terminals is equal to or less than the threshold value to correspond to the same subgroup. For example, the condition that the subgroup threshold value = 3 m is applied to a group including the first terminal device 16a to the fifth terminal device 16e. In that case, two sub-groups, that is, a subgroup 1 including the first terminal device 16a, the second terminal device 16b, and the third terminal device 16c and a subgroup including the fourth terminal device 16d and the fifth terminal device 16e. A group is created.

ここで、Ｅ［ｉ］［ｐ］は、端末装置ｉと端末装置ｐの嗜好に関する類似度であり、数値が大きいほど、両者の嗜好が一致していることを示す。ここで、ｉ＝１〜Ｎ、ｐ＝１〜Ｎ、ｉ≠ｐである。 Separately from this, a method will be described in which the group forming unit 40 forms subgroups using user preference information. The user information storage unit 28 stores user preference information (preference degree) F [i] [j] as shown in FIG. 10 (i = 1 to N, j = 1 to M). This is a numerical value indicating the strength of preference for the cooking genre j of the terminal device i (corresponding to the user i). Based on this data, the group forming unit 40 calculates the degree of preference match between the two terminal devices 16 (two users) according to the following cosine measure.

Here, E [i] [p] is the degree of similarity related to the preferences of the terminal device i and the terminal device p, and the larger the numerical value, the more the preferences of both match. Here, i = 1 to N, p = 1 to N, and i ≠ p.

ここで、Ｆａ［ｉ］は、端末装置ｉに対応する嗜好情報Ｆ［ｉ］［ｊ］の平均値であり、Ｆａ［ｐ］は、端末装置ｐに対応する嗜好情報Ｆ［ｐ］［ｊ］の平均値である。式（８）によるＥ［ｉ］［ｐ］は、−１〜＋１の範囲の値をとり、式（７）同様に、端末装置ｉと端末装置ｐの嗜好が一致しているほど大きな値となる。また、これ以外の方法で、２つの端末装置１６の間の嗜好に関する類似度を算出してもよい。例えば、端末装置ｉの嗜好情報と、端末装置ｐの嗜好情報との距離（ユークリッド距離など）の逆数を類似度としてもよい。このようにして、グループ形成部４０は、グループ内の端末装置１６の間の類似度を算出し、類似度が所定のしきい値以上である端末装置をまとめてサブグループとする。 Or the group formation part 40 may calculate the similarity E [i] [p] of the terminal device i and the terminal device p according to the following correlation coefficient.

Here, Fa [i] is an average value of the preference information F [i] [j] corresponding to the terminal device i, and Fa [p] is the preference information F [p] [j corresponding to the terminal device p. ] Average value. E [i] [p] according to the equation (8) takes a value in the range of −1 to +1, and as the equation (7), the larger the preference of the terminal device i and the terminal device p is, the larger the value is. Become. Moreover, you may calculate the similarity regarding the preference between the two terminal devices 16 by methods other than this. For example, the reciprocal of the distance (Euclidean distance or the like) between the preference information of the terminal device i and the preference information of the terminal device p may be used as the similarity. In this way, the group forming unit 40 calculates the degree of similarity between the terminal devices 16 in the group, and collectively sets the terminal devices whose similarity is equal to or greater than the predetermined threshold value as a subgroup.

  In addition, a method for forming subgroups using user attribute information will be described separately. A first method of creating a subgroup from user attribute information is a method in which terminal devices 16 having the same user attribute item are subgrouped. For example, in the case of the user attribute information shown in FIG. 16, the group forming unit 40 forms three subgroups of X, Y, and Z for each workplace. Moreover, the group formation part 40 may form a subgroup by putting together persons with the same or similar post level. For example, sub-groups such as executives, general managers, section managers, chiefs, and general members may be formed. Moreover, the group formation part 40 may form a subgroup for every age group. For example, sub-groups such as teens, 20s, 30s, 40s, 50s, and 60s may be formed. Moreover, the group formation part 40 may form a subgroup according to annual income. For example, the subgroup may be formed based on a predetermined annual income range such as 3 million yen to 4 million yen, 4 million yen to 5 million yen, 5 million yen to 6 million yen, or the like.

ここで、δ関数は典型的には、２つの引数が一致する場合に「１」、異なる場合に「０」を返す関数である。なお、属性項目に応じて、異なる応答特性のδ関数を用いてもよい。例えば、属性項目が、性別、勤務先などのように名義尺度である場合には、２つの引数が完全一致する場合にのみ「１」を返す関数が使用される。一方、属性項目が年収、今月の小遣い、などのように数値（間隔尺度または比例尺度）である場合には、２つの引数の相対的な差が１０％以下である場合に「１」を返し、それ以外の場合に「０」を返すような関数が使用される。 A second method of creating a subgroup from user attribute information is a method of calculating the similarity between the terminal devices 16 related to the user attribute information. As shown in FIG. 16, user attribute information G [i] [l] of the attribute item 1 is stored for the terminal device i (i = 1 to N, l = 1 to L). The group forming unit 40 calculates the similarity Q [i] [p] (i ≠ p) between the terminal device i and the terminal device p related to the user attribute information as follows.

Here, the δ function is typically a function that returns “1” when two arguments match and returns “0” when they differ. Depending on the attribute item, a δ function having different response characteristics may be used. For example, when the attribute item is a nominal measure such as gender or work place, a function that returns “1” is used only when the two arguments completely match. On the other hand, if the attribute item is a numerical value (interval scale or proportional scale) such as annual income, this month's pocket money, etc., “1” is returned if the relative difference between the two arguments is 10% or less. In other cases, a function that returns “0” is used.

  Alternatively, it is “1” when the two arguments completely match, “0.8” if the error is within 5%, “0.5” if the error is 5 to 10%, and 10 to 20% error. For example, a function having a characteristic of returning “0.2” and returning “0” if the error is 20% or more may be used. The group forming unit 40 calculates the similarity Q [i] [p] (i = 1 to N, p = 1 to N, i ≠ p) related to the user attribute information, and then the similarity is a predetermined threshold value. The terminal devices 16 as described above are collectively subgrouped. Furthermore, the group forming unit 40 may create a subgroup by combining the above-described methods. For example, a subgroup may be created using all three of position information, user preference information, and user attribute information.

After creating subgroups in this way, the item selection unit 26 creates recommendation information for each subgroup. That is, the item selection unit 26 executes the process by associating the processes related to the group so far with the subgroup. This corresponds to selecting an item to be presented to each subgroup so that a subject having a high leader point calculated by the point calculation unit 42 is given priority. The recommendation information created for one subgroup may be provided only to the terminal devices 16 belonging to the subgroup, or the terminal devices 16 belonging to other subgroups (all terminal devices 16 in the group). May be provided.

  According to the present embodiment, at least two subgroups are formed by classifying a plurality of subjects included in a group into at least two subgroups. Can be In addition, since an item to be presented to each subgroup is selected so as to give priority to a subject having a high leader point, an item can be presented for each subgroup. In addition, when there is no store where all the groups can enter, the group may be divided into two or more subgroups, and stores that can enter each subgroup may be presented. Each subgroup is composed of members with relatively high similarity in at least one of user behavior, user preference, and user attributes, so there is a possibility that communication between users can be easily performed. High user convenience and satisfaction.

(Example 5)
Next, Example 5 will be described. The fifth embodiment relates to an information providing system including a plurality of terminal devices and an information providing device that can be connected to them as in the past. The information providing apparatus according to the fifth embodiment also forms a group using position information of a plurality of terminal devices, and estimates the influence of each user in the group, as before. Until now, an item has been selected based on the influence of each user in the group. In the fifth embodiment, information indicating the influence of each user in the group is provided. The information providing system 100 and the terminal device 16 according to the fifth embodiment are the same type as those in FIGS. Here, the difference will be mainly described.

  FIG. 19 shows the configuration of the information providing apparatus 10 according to the fifth embodiment of the present invention. The information providing apparatus 10 includes a reception unit 20, a location information management unit 22, a group information processing unit 24, a user information storage unit 28, a transmission unit 32, and a control unit 34. The group information processing unit 24 includes a group formation unit 40 and a point calculation unit 42, and the user information storage unit 28 includes a point storage unit 44. The information providing apparatus 10 so far provides store information based on position information as recommended information to the terminal devices 16 belonging to the group. However, the information providing apparatus 10 according to the fifth exemplary embodiment provides information about the users in the group. Provide information on influence. That is, the point calculation unit 42 calculates a leader point for each terminal device 16, and the transmission unit 32 transmits the leader point calculated by the point calculation unit 42 or an index that aggregates the leader points to each terminal device 16. The transmission destination is not limited to the terminal device 16 in the group, but may be another terminal device 16 or another device (for example, a marketing data analysis system).

  On the other hand, the transmitting unit 56 of the terminal device 16 illustrated in FIG. The control unit 54 performs control to display the data received by the transmission unit 56 on the display unit 52. When the received data is display data, the control unit 54 of the terminal device 16 controls the display unit 52 accordingly. In addition, when the received data is material data, the control unit 54 of the terminal device 16 creates display data based on the received data and causes the display unit 52 to display the display data.

  FIG. 20 shows a screen displayed on the display unit 52 according to the fifth embodiment of the present invention. This corresponds to an example of display of leader points on the terminal device 16. In the example shown in this figure, each leader point is displayed for five terminal devices 16 that actually formed one group. A, B, C, D, and E on the horizontal axis indicate terminal IDs assigned to the terminal devices 16 in the group. As described above, they correspond to the first terminal device 16a, the second terminal device 16b, the third terminal device 16c, the fourth terminal device 16d, and the fifth terminal device 16e. The vertical axis represents leader points. As illustrated, the leader point of the third terminal device 16c is the highest, and the second terminal device 16b is the second highest. In this example, values normalized so that the sum of leader points in the group is “1” are used, but the sum is set to “100” or the maximum value is set to a predetermined value (for example, 100). You may make it do.

  FIG. 21 shows another screen displayed on the display unit 52 according to the fifth embodiment of the present invention. This corresponds to another example of leader point display. Here, the leader point Pg based on the position information is indicated by a dot pattern, and the leader point Ph based on the user attribute information is indicated by a hatched pattern. When such display is performed, the leader points of each user can be expressed in more detail. For example, after the third terminal device 16c, the leader point of the second terminal device 16b is large, but the configuration of both is greatly different. It can be seen that the third terminal device 16c has a large leader point based on the user attribute information, whereas the second terminal device 16b has a large leader point based on the position information. In this example, the leader point is the sum (added value) of Pg and Ph, and is normalized so that the sum of Pg in the group is “100” and the sum of Ph is “100”.

  FIG. 22 shows another screen displayed on the display unit 52 according to the fifth embodiment of the present invention. This corresponds to an example of leader point display when a subgroup is formed. In this example, the first terminal device 16a, the second terminal device 16b, and the third terminal device 16c correspond to the subgroup 1, and the fourth terminal device 16d and the fifth terminal device 16e correspond to the subgroup 2. Pg and Ph are normalized so that the sum in each subgroup is “100”. Returning to FIG.

  The leader point related data calculated by the point calculation unit 42 may be based on an action history when selecting a store or the like once, or may be based on an action history of a plurality of times. It can be said that the leader point in one group action is a short-term leader point. Moreover, it can be said that the value (indicator) obtained by totaling (aggregating) leader points in a plurality of group actions is a long-term leader point. In order to provide long-term leader points, the point storage unit 44 stores the leader points calculated in the past by the point calculation unit 42 in association with each subject. FIG. 23 shows a data structure of a database (point history table) stored in the point calculation unit 42 according to the fifth embodiment of the present invention. The point history table stores point history data in which a group ID, a terminal ID, a calculation date, a leader point, a store ID, and a purpose classification are associated. As described above, the group ID is an ID that can uniquely identify the group, and a new group ID is assigned each time a group is generated. The purpose classification is information indicating a destination such as a store selected by the group or a purpose of action.

  As information indicating the general purpose, for example, classifications such as “meal”, “shopping”, “drinking”, “theme park”, and the like can be used. That is, it is a classification corresponding to a superordinate concept (a more abstract concept) of the store genre. More detailed destinations include, for example, “Japanese restaurant”, “French restaurant”, “Chinese restaurant”, “Izakaya”, “Bar”, “Clothing store”, “General store”, “Bookstore”, “ Classification (store genre) such as “record store” and “florist” can be used. In addition, as described above, the arrival of the group at the destination can be determined under the condition that the position information of each terminal device 16 of the group does not substantially change for a predetermined time (for example, 5 minutes) or longer. Further, by searching the store database or the like using the position information, store information (genre or the like) can be acquired, and the information may be used for the purpose classification. In addition, at a suitable timing such as when the group arrives at the destination, a questionnaire survey that asks the purpose of this action etc. is sent to the terminal device of the group, and the information obtained by collecting it is also used as the purpose classification Good. In addition, by using such a point history table, it is possible to compare leader points with any combination of terminal devices 16 that are not actually acting as the same group.

  The point calculation unit 42 corresponds to one subject with reference to the point storage unit 44 for data whose calculation date / time falls within a predetermined period (for example, 2015/01/01 to 2015/01/31). An index that aggregates multiple leader points is calculated. More specifically, the point calculation unit 42 includes a total value of leader points for each terminal ID, a representative value (average value, median value, mode value), maximum value, minimum value, and a value indicating variation (standard deviation, Each index such as variance and (maximum value−minimum value) is calculated. In addition, the point calculation unit 42 may calculate an index in which leader points for each terminal ID are aggregated for each purpose classification (category). That is, the point calculation unit 42 may calculate at least one of the frequency for each category and the relative frequency for each category as an index. Since the number of times the leader points are calculated within a predetermined period differs for each terminal device 16, the average value or median value is more suitable than the total value when comparing the terminal devices 16.

  The point calculation unit 42 may correct the leader points according to the number of people in the group. When normalization is performed such that the sum of leader points is “1” within one group, the average value (expected value) of leader points per person decreases as the number of people in the group increases. Even if not normalized, if the number of people in the group increases, the frequency with which each user is positioned at the head of the group decreases, so the leader point per person tends to decrease. Therefore, the point calculation unit 42 performs a correction process such as increasing the leader point value when the number of groups is large. For example, the number of people is calculated for each group ID, and when the number of people in a certain group ID is greater than or equal to the third predetermined value and less than the fourth predetermined value, the leader point corresponding to the group ID is “1.5 times”. Further, when the number of people in a certain group ID is equal to or greater than a fourth predetermined value, processing such as “double” the leader point corresponding to the group ID is performed. Also, using the leader points corrected in this way, an index that aggregates the leader points is calculated.

  FIG. 24 shows another screen displayed on the display unit 52 according to the fifth embodiment of the present invention. This corresponds to an example in which leader points are displayed for each purpose classification. Three purpose categories of “meal”, “drinking”, and “shopping” are used. The leader points shown here are calculated by the point calculation unit 42 by calculating an average value for each purpose classification of the leader points acquired by each terminal apparatus during a predetermined period (an average value for each combination of the terminal apparatus and the purpose classification) It is a value normalized so that the sum of the average values for each device becomes “1”. That is, it can be said that the point calculation unit 42 calculates an index for each purpose of a group action, or for each category or genre of an item selected for the group. In the example shown here, for example, regarding the first terminal device 16a, it can be read that the influence is small in the “meal” and “drinking” scenes, but the strong influence is exerted in the “shopping” scene. Further, it can be read that the third terminal device 16c exerts a relatively strong influence in any scene. The first terminal device 16a to the fifth terminal device 16e shown here may be the terminal devices 16 that actually act as one group, or the terminal devices 16 that do not actually act as one group. A comparison that collects That is, the user may designate a combination of arbitrary terminal devices 16 (users) and display leader points. For example, you may designate your family and friends and display them so that their leader points can be compared. Each user designates in advance whether or not his / her leader points can be disclosed, the information to be disclosed, the conditions of the other party to be disclosed, and the like, and the information is stored in the information providing apparatus 10. The disclosure to the user may be controlled. Alternatively, the user may arbitrarily select a group formed in the past and display the leader points of the terminal devices 16 constituting the group so that the leader points can be compared. The terminal device 16 of the user who performs the operation may or may not be included in the group.

  FIG. 25 shows another screen displayed on the display unit 52 according to the fifth embodiment of the present invention. This corresponds to an example in which leader points are displayed according to the number of people in the group. The number of groups is divided into three levels, “2”, “3-5”, and “6 or more”. It can be said that leader points are displayed by category determined according to the number of people in the group. For the leader points shown here, the point calculation unit 42 calculates, for each terminal device 16 to be displayed, an average value of the leader points acquired by the terminal device during a predetermined period by group number (three categories), The average value is a normalized value so that the total value for each group of people is “1”. For example, the total of the leader points of the first terminal device 16a to the fifth terminal device 16e corresponding to the group number “2 people” is normalized to be “1”. In the example shown here, the first terminal device 16a has a large influence when the number of groups is two (small number), but it can be seen that the influence is small when the number of groups increases. On the other hand, in contrast to the first terminal device 16a, the fifth terminal device 16e has a large influence when the number of groups is 6 or more (multiple people), but the influence is reduced when the number of groups decreases. I understand that it is small. Moreover, it turns out that the 3rd terminal device 16c exhibits comparatively strong influence in any scene irrespective of the number of people of a group.

  FIG. 26 shows another screen displayed on the display unit 52 according to the fifth embodiment of the present invention. This classifies the leader points acquired by each terminal device 16 during a predetermined period into a plurality of categories (also referred to as leader point categories and Rp categories) based on a predetermined rule, and displays the frequency (frequency) for each category. It corresponds to an example. For example, the point calculation unit 42 associates the category “Rp large” when the value of the leader point (Rp) is “0.6 or more”, and the category “ It corresponds to “medium Rp”, and corresponds to the category “small Rp” when “less than 0.4”. Here, it is assumed that the leader points are normalized. On the other hand, when the leader point is not normalized, for example, when the Rp value is “120 or more”, the point calculation unit 42 corresponds to the category “large Rp”, and when it is “50 or more and less than 120”. Corresponding to the category “Rp medium”, and “less than 50”, it corresponds to the category “Rp small”.

  Furthermore, the point calculation unit 42 counts the number of data corresponding to each of the three categories for each terminal ID in the point storage unit 44. Of course, other categories may be used. Such a leader point category is also an index that aggregates leader points. When the number of groups is small, the condition of “large Rp” is strict (the threshold value corresponding to large Rp is large), and when the number of groups is large, the condition of “large Rp” is set. May be relaxed (threshold value corresponding to Rp is large).

  The aforementioned predetermined rule is shown in FIG. 27, for example. FIG. 27 shows the data structure of a database stored in the group information processing unit 24 according to the fifth embodiment of the present invention. In this example, when the number of groups is “2”, if the leader point (Rp) is “0.8 or more”, it corresponds to “large Rp” and “0.4 or more and less than 0.8”. “Rp medium”, and “less than 0.4” indicates “Rp small”.

  In FIG. 26, it can be seen that the first terminal device 16a has a high ratio of “large Rp” and exerts a strong influence in many group actions. On the other hand, it turns out that the 2nd terminal device 16b is not exerting influence in almost all group action with the low ratio of "Rp large." In addition, the third terminal device 16c has a large number of times of “Rp large”, but the number of times of “Rp small” is also as large. For this reason, it can be seen that whether or not the third terminal device 16c exerts a strong influence is not fixed but case by case. In FIG. 26, the frequency for each category (absolute frequency) is displayed, but the relative frequency normalized so that the total frequency of the category of each user (terminal device 16) is 1 is displayed. Also good.

  In the description so far, the information providing apparatus 10 performs the calculation of the characteristic action amount and the leader point, but other methods can also be used. For example, the terminal device 16 exchanges position information with the nearby terminal device 16 as needed, and forms a group using its own position information and the position information of the other terminal devices 16. Moreover, you may calculate a feature action amount and a leader point about the terminal device 16 contained in a group. That is, the location information management unit 22 and the group information processing unit 24 may be included in the terminal device 16. Each terminal device 16 in the group may calculate only its own leader point, or a specific terminal device 16 may calculate the leader points of a plurality of terminal devices 16 collectively. Moreover, the terminal device 16 which calculated the leader point transmits it to the other terminal device 16. Each terminal device 16 in the group is calculated by itself, received from another terminal device 16, or calculated by itself, and received from another terminal device, and a plurality of terminal devices. The leader point corresponding to 16 is acquired. The terminal device 16 causes the display unit 52 to display the display so far using those leader points.

  According to the present embodiment, information indicating the estimated influence is provided to the user, so that the user can objectively and quantitatively understand the human relationship (implicit role, etc.) within the group. In addition, since the human relationships of the users in the group are objectively and quantitatively grasped, the user can easily improve his / her behavior and review the interpersonal relationships. In addition, since the index that aggregates a plurality of leader points is calculated, the accuracy of estimating the influence can be improved. In addition, at least one of a total value of leader points, a representative value, a maximum value, a minimum value, a value indicating variation, a frequency for each category determined according to the size of the leader points, and a relative frequency for each category is used as an index. Therefore, it is possible to quantitatively grasp the influence of the user. Moreover, since the index is calculated for each purpose of the group action or for each genre of the item selected for the group, it is possible to make the user understand the influence in more detail. In addition, since the user can freely select the combination of the terminal devices 16 (users) and display the leader points so that they can be compared, the user can easily grasp the influence.

  Further, by providing information indicating the user's influence on the group behavior, it is possible to know each other's influence that the user himself / herself is not necessarily aware of, and for the user to enjoy as a kind of entertainment information. For example, “I thought that Mr. A was partitioning this group, but I found out that Mr. B actually has a strong influence”, and can stimulate the group's relationships. Can be given. It is also helpful to review your position and role in the group. For example, “I am not demonstrating leadership because of other users in the group. I will suggest a little more aggressively.” Or “I found that I often divide the group. Let's get along with the tastes of others a little. " In other words, it is possible to provide information that leads to improvement of self-behavior and improvement of group human relations. Moreover, since group formation and leader point derivation are executed by the terminal device, the influence can be estimated only by the terminal device.

(Example 6)
Next, Example 6 will be described. The sixth embodiment relates to an information providing system including a plurality of terminal devices and an information providing device that can be connected to the terminal devices, as before. The information providing apparatus according to the sixth embodiment also forms a group using position information of a plurality of terminal devices, and estimates the influence of each user in the group, as before. On the other hand, until now, the leader point is calculated based on the user's characteristic behavior in one group behavior, but in Example 6, the leader point calculated in the past group behavior is Reflect in leader points in group behavior. Specifically, the past leader points of other users are reflected in the leader points of a certain user (one user) in the group. The information providing system 100, the terminal device 16, and the information providing device 10 according to the sixth embodiment are of the same type as those shown in FIG. 1, FIG. 13, FIG. Here, the difference will be mainly described.

  The point calculation unit 42 in FIG. 15 or FIG. 19 calculates leader points as before. The information is stored in the group information processing unit 24. FIG. 28 shows a data structure of a database (group information table) stored in the group information processing unit 24 according to the fifth embodiment of the present invention. In the following description, the group ID of the group to be processed (current group) is “G21”. In the group information table, “G21” includes three items “C”, “D”, and “E”. It is assumed that the terminal device 16 is compatible. The three terminal devices 16 correspond to a third terminal device 16c, a fourth terminal device 16d, and a fifth terminal device 16e. Furthermore, it is assumed that the leader points (temporary points) at a certain time point are “C = 80”, “D = 100”, and “E = 60”.

Further, it is assumed that a point history table shown as an example in FIG. 23 is stored in the point storage unit 44 in the user information storage unit 28 of FIG. 15 or FIG. The point history table is a table in which past leader points for each terminal ID are shown. For example, the point history table is a table in which calculation date and time and leader points are associated with each other.
In the present embodiment, the information providing apparatus 10 executes Step S115 (not shown) after executing Step S110 and before executing Step S120. The detailed process of step S115 will be described with reference to the flowchart of FIG. First, in step S300, the point calculation unit 42 ranks the terminal devices 16 of the target processing group in descending order of leader points (temporary points). In the above example, “D = 1”, “C = 2” and “E = 3”.

  Next, in step S310, the point calculation unit 42 acquires past leader points for the terminal devices 16 in a predetermined order. Here, the predetermined rank is each rank from the second rank to a certain rank (X rank) below the second rank. More specifically, the point calculation unit 42 refers to the point history table stored in the point storage unit 44 for the second highest terminal device, and acquires past leader points. In the above example, the past leader points of the third terminal device 16c are acquired. In the example of FIG. 23, the point calculation unit 42 has three (“G11, C) = 0.4”, “(G12, C) = 0.6”, and “(G13, C) = 0.8”. Get the data. X = 2 may be used, and the predetermined order may be only the second place. When X is 3rd and the predetermined ranking is “2nd and 3rd”, the point calculation unit 42 further acquires past leader points of the fifth terminal device 16e.

  In the example of FIG. 23, there are two “(G11, E) = 0.05” and “(G12, E) = 0.15”. Note that the point calculation unit 42 may acquire past leader points by limiting to group IDs that do not include the first terminal device 16. For example, the point calculation unit 42 acquires the second leader terminal device 16 by excluding the group ID including the fourth terminal device 16d when acquiring past leader points. In the above example, since the fourth terminal device 16d is included in G11, the point calculation unit 42 excludes G11, and “(G12, C) = 0.6”, “(G13, C) = 0.8. ”May be acquired. Similarly, the point calculation unit 42 acquires past leader points not including the first terminal device 16 for the third terminal device 16. In this way, by acquiring past leader points only for data that does not include the first terminal device 16, the correction accuracy of leader points described later may be improved.

  Next, in step S320, the point calculation unit 42 calculates a representative value of past leader points for each terminal device 16 using the acquired leader points. As the representative value, any one of an average value, a median value, and a mode value can be used. In the following description, an average value is used. In the above example, the average value of the third terminal device 16c is “(0.4 + 0.6 + 0.8) ÷ 3 = 0.6”. The average value of the fifth terminal device 16e is “(0.05 + 0.15) ÷ 2 = 0.1”.

  Next, in step S330, the point calculation unit 42 determines whether the calculated representative value satisfies a predetermined condition, and corrects the first leader point according to the determination result. Specifically, the point calculation unit 42 sets the representative value to be a predetermined value θ1 or more as a predetermined condition, and increases the first leader point when the condition is satisfied. For example, when “θ1 = 0.3” is satisfied, in the above example, the third terminal device 16c satisfies this condition, so that the first leader point “D = 100” is multiplied by 1.5 and “D = 150 ”or“ 30 ”is added to“ D = 130 ”. That is, the point calculation unit 42 corrects the leader point by multiplying the first leader point by a predetermined coefficient or adding a predetermined number. If there are terminal devices 16 (users) with high past leader points in the terminal devices 16 (users) of second or lower rank, the influence of the first terminal device 16 (user) with higher leader points than those Can be estimated to be very strong. In other words, a person with a higher leader point than a person with a high leader point in the past can be estimated to be a person who has a very strong influence. For this reason, the point calculation part 42 performs the process which makes a leader point higher than usual.

  In addition, the point calculation unit 42 may perform a process of reducing the first leader point when a predetermined condition is that the representative value is less than the predetermined value θ2 and the condition is satisfied. For example, when “θ2 = 0.2”, in the above example, since the fifth terminal device 16e satisfies this condition, the first leader point “D = 100” is multiplied by 0.8 and “D = 80 ”or“ 10 ”is subtracted to“ D = 90 ”. When there is a terminal device 16 (user) whose past leader point is low in the terminal device 16 (user) of the second place or lower, the influence of the terminal device 16 (user) of the first place in the current group is other users. It is estimated that it is stronger than the substance because its influence is weak. Therefore, the point calculation unit 42 performs a process for lowering the leader point than usual.

  Further, the point calculation unit 42 may change the degree of increase or decrease of the leader points according to the number of terminal devices 16 whose representative value is equal to or greater than the predetermined value θ1. For example, the point calculation unit 42 “1.5 times” when the number of terminal devices 16 whose representative value is θ1 or more is one, “double” when it is two, and three or more. In such a case, processing such as “three times” may be performed. The point calculation unit 42 sets “double” when the representative value of the second terminal device 16 is equal to or larger than θ1, and sets “1.5” when the representative value of the third terminal device 16 is equal to or larger than θ1. “2 × 1.5 = 3 times” when both the second and third terminal devices 16 are θ1 or more. That is, the point calculation unit 42 may change the degree of correction of the leader point according to the rank of the terminal device 16 whose representative value satisfies the predetermined condition.

  In the above description, the leader point of the first terminal device 16 is corrected. However, when the number of the terminal devices 16 included in the group is large, the leader of the terminal device 16 that is second or lower in the same way is used. Points may be corrected. For example, the leader point of the second terminal device 16 may be increased or decreased using the past leader points of the third terminal device 16. That is, the point calculation unit 42 calculates the leader point for one subject included in the group based on the leader points calculated in the past corresponding to the other subjects included in the group.

  According to this embodiment, for one subject included in the group, the leader point is calculated based on the leader points calculated in the past corresponding to the other subject included in the group. Can be improved. Further, since the leader points of the group to be processed are corrected using the past leader points accumulated in the point history table, the influence of the user can be reflected on the leader points with higher accuracy.

  In the above, this invention was demonstrated based on the Example. This embodiment is an exemplification, and it will be understood by those skilled in the art that various modifications can be made to the combination of each component and each processing process, and such modifications are also within the scope of the present invention. .

Examples 1 to 6 may be defined by the following items.
[Item 1]
A group forming unit that acquires position information of a subject that is a user or a terminal device, and forms a group including a plurality of subjects based on time-series data of location information related to a plurality of subjects;
Based on the time-series data of the position information, for each of a plurality of subjects included in the group formed by the group forming unit, it matches a predetermined behavior pattern in which the influence of the subjects in the group is high A point calculating unit that calculates a characteristic behavior amount indicating a degree to perform, and calculates points for each subject based on the characteristic behavior amount;
A transmission unit that transmits the points calculated in the point calculation unit or an index that aggregates the points;
An information providing apparatus comprising:

[Item 2]
The point calculation unit may calculate at least one of the number of times that the movement pattern of the subject in the time-series data of the position information matches the predetermined action pattern, the matching time, the matching moving distance, and the matching probability. 2. The information providing apparatus according to item 1, wherein the information is calculated as the characteristic behavior amount, and the point is calculated such that the higher the characteristic behavior amount, the higher the value.

[Item 3]
The information according to item 1 or 2, wherein the predetermined action pattern in the point calculation unit is a pattern in which a subject is located at a position of a predetermined order from the top of the group with reference to the moving direction of the group. Providing device.

[Item 4]
The information providing apparatus according to item 3, wherein the point calculation unit calculates a point that increases as the predetermined order increases.

[Item 5]
The predetermined behavior pattern in the point calculation unit is a pattern in which the subject moves from the time of division in the direction of movement after merging when the group divides and then merges. To 4. The information providing apparatus according to any one of 4.

[Item 6]
6. The information providing apparatus according to item 5, wherein the point calculation unit calculates points based on the number of subjects included in the small group when the group is divided into a plurality of groups.

[Item 7]
The information according to any one of items 1 to 6, wherein the predetermined behavior pattern in the point calculation unit is a pattern in which when the subject stops, the other subject also stops following the stop. Providing device.

[Item 8]
8. The information providing apparatus according to item 7, wherein the point calculation unit calculates points based on the number of other subjects that have stopped following the stop.

[Item 9]
9. The information providing apparatus according to any one of items 1 to 8, wherein the point calculation unit calculates points even in accordance with user attribute information corresponding to the subject.

[Item 10]
10. The information providing apparatus according to item 9, wherein the point calculation unit calculates points based on a plurality of items included in user attribute information.

[Item 11]
10. The information providing apparatus according to item 9, wherein the point calculation unit calculates points according to a relationship between a date on which processing is executed and user attribute information.

[Item 12]
12. The information providing apparatus according to any one of items 1 to 11, wherein the group forming unit changes a condition for forming a group in accordance with user attribute information corresponding to the subject.

[Item 13]
13. The information providing apparatus according to any one of items 1 to 12, wherein the point calculation unit calculates the points according to the number of subjects included in a group.

[Item 14]
The point calculation unit calculates, for one subject included in the group, the point based on points calculated in the past corresponding to other subjects included in the group. 14. The information providing device according to any one of 1 to 13.

[Item 15]
A point storage unit that stores points calculated in the past by the point calculation unit in association with each subject;
The information providing apparatus according to any one of Items 1 to 14, wherein the point calculation unit calculates an index in which a plurality of points corresponding to one subject are aggregated with reference to the point storage unit.

[Item 16]
The point calculation unit includes a total value of the points, a representative value, a maximum value, a minimum value, a value indicating variation, a frequency for each category determined according to the size of the point, and a relative frequency for each category. 16. The information providing apparatus according to item 15, wherein at least one is calculated as the index.

[Item 17]
The information providing apparatus according to item 15 or 16, wherein the point calculation unit calculates the index according to the purpose of group action, according to the genre of an item selected for the group, or according to the number of people in the group. .

[Item 18]
A terminal device capable of communicating with the information providing device according to Item 1,
A transmission unit that transmits its own location information to the information providing device;
A receiving unit that receives the point or an index that aggregates the point from the information providing device;
A control unit that performs control to display the received data on a display unit;
A terminal device comprising:

[Item 19]
A terminal device capable of communicating with other terminal devices,
An acquisition unit for acquiring position information of other terminal devices;
A group forming unit that forms a group including a plurality of terminal devices based on the time-series data related to the positional information of the other terminal device and the location information of the terminal device;
Based on the time-series data, at least one terminal device included in the group formed by the group forming unit matches a predetermined behavior pattern in which the influence of the user corresponding to the terminal device in the group is high. A point calculating unit that calculates a characteristic behavior amount indicating a degree, and calculates a point based on the characteristic behavior amount;
A control unit that performs control to display on the display unit the points calculated in the point calculation unit, or an index that aggregates the points;
A terminal device comprising:

[Item 20]
Acquiring location information of a subject that is a user or a terminal device, and forming a group including a plurality of subjects based on time-series data of location information relating to a plurality of subjects;
Based on the time-series data of the position information, a feature indicating a degree of matching with a predetermined action pattern in which each of the plurality of subjects included in the formed group has a high influence of the subject in the group Calculating an action amount, and calculating a point for each subject based on the characteristic action amount;
Transmitting the calculated points or an indicator that aggregates the points;
An information providing method comprising:

[Item 21]
Acquiring location information of a subject that is a user or a terminal device, and forming a group including a plurality of subjects based on time-series data of location information relating to a plurality of subjects;
Based on the time-series data of the position information, a feature indicating a degree of matching with a predetermined action pattern in which each of the plurality of subjects included in the formed group has a high influence of the subject in the group Calculating an action amount, and calculating a point for each subject based on the characteristic action amount;
The program for making a computer perform the step which transmits the calculated | required point or the parameter | index which aggregated the said point.

  DESCRIPTION OF SYMBOLS 10 Information provision apparatus, 12 Network, 14 Base station apparatus, 16 Terminal apparatus, 20 Reception part, 22 Location information management part, 24 Group information processing part, 26 Item selection part, 28 User information storage part, 30 Provision information storage part, 32 transmission unit, 34 control unit, 40 group formation unit, 42 point calculation unit, 50 acquisition unit, 52 display unit, 54 control unit, 56 transmission unit, 58 reception unit, 100 information providing system.

Claims (18)

A group forming unit that acquires position information of a subject that is a user or a terminal device, and forms a group including a plurality of subjects based on time-series data of location information related to a plurality of subjects;
Based on the time-series data of the position information, for each of a plurality of subjects included in the group formed by the group forming unit, it matches a predetermined behavior pattern in which the influence of the subjects in the group is high A point calculating unit that calculates a characteristic behavior amount indicating a degree to perform, and calculates points for each subject based on the characteristic behavior amount;
A transmission unit that transmits the points calculated in the point calculation unit or an index that aggregates the points;
An information providing apparatus comprising:   The point calculation unit may calculate at least one of the number of times that the movement pattern of the subject in the time-series data of the position information matches the predetermined action pattern, the matching time, the matching moving distance, and the matching probability. The information providing apparatus according to claim 1, wherein the information is provided as the characteristic behavior amount, and the point is calculated such that the higher the characteristic behavior amount, the higher the value.   The said predetermined action pattern in the said point calculation part is a pattern in which a main body is located in the position of a predetermined order from the head of a group on the basis of the moving direction of a group. Information providing device.   The information providing apparatus according to claim 3, wherein the point calculation unit calculates a point that increases as the predetermined order increases.   The predetermined behavior pattern in the point calculation unit is a pattern in which a subject moves from the time of division in a direction of movement after merging when the group divides into plural pieces and then merges. The information providing apparatus according to any one of 1 to 4.   The information providing apparatus according to claim 5, wherein the point calculation unit calculates points based on the number of subjects included in the small group when the group is divided into a plurality of groups.   The said predetermined action pattern in the said point calculation part is a pattern in which the other subject also stops following the stop when the subject stops. Information providing device.   The information providing apparatus according to claim 7, wherein the point calculation unit calculates points based on the number of other subjects that have stopped following the stop.   The information providing apparatus according to claim 1, wherein the point calculation unit calculates points even in accordance with user attribute information corresponding to the subject.   The information providing apparatus according to claim 1, wherein the group forming unit changes a condition for forming a group in accordance with user attribute information corresponding to the subject.   The point calculation unit, for one subject included in a group, calculates the point based on points calculated in the past corresponding to other subjects included in the group. Item 11. An information providing apparatus according to any one of Items 1 to 10. A point storage unit that stores points calculated in the past by the point calculation unit in association with each subject;
The information providing apparatus according to claim 1, wherein the point calculation unit calculates an index in which a plurality of points corresponding to one subject are aggregated with reference to the point storage unit. .   The point calculation unit includes a total value of the points, a representative value, a maximum value, a minimum value, a value indicating variation, a frequency for each category determined according to the size of the point, and a relative frequency for each category. The information providing apparatus according to claim 12, wherein at least one is calculated as the index.   14. The information provision according to claim 12, wherein the point calculation unit calculates the index according to a purpose of a group action, a genre of an item selected for the group, or a number of people in the group. apparatus. A terminal device capable of communicating with the information providing device according to claim 1,
A transmission unit that transmits its own location information to the information providing device;
A receiving unit that receives the point or an index that aggregates the point from the information providing device;
A control unit that performs control to display the received data on a display unit;
A terminal device comprising: A terminal device capable of communicating with other terminal devices,
An acquisition unit for acquiring position information of other terminal devices;
A group forming unit that forms a group including a plurality of terminal devices based on the time-series data related to the positional information of the other terminal device and the location information of the terminal device;
Based on the time-series data, at least one terminal device included in the group formed by the group forming unit matches a predetermined behavior pattern in which the influence of the user corresponding to the terminal device in the group is high. A point calculating unit that calculates a characteristic behavior amount indicating a degree, and calculates a point based on the characteristic behavior amount;
A control unit that performs control to display on the display unit the points calculated in the point calculation unit, or an index that aggregates the points;
A terminal device comprising: Acquiring location information of a subject that is a user or a terminal device, and forming a group including a plurality of subjects based on time-series data of location information relating to a plurality of subjects;
Based on the time-series data of the position information, a feature indicating a degree of matching with a predetermined action pattern in which each of the plurality of subjects included in the formed group has a high influence of the subject in the group Calculating an action amount, and calculating a point for each subject based on the characteristic action amount;
Transmitting the calculated points or an indicator that aggregates the points;
An information providing method comprising: Acquiring location information of a subject that is a user or a terminal device, and forming a group including a plurality of subjects based on time-series data of location information relating to a plurality of subjects;
Based on the time-series data of the position information, a feature indicating a degree of matching with a predetermined action pattern in which each of the plurality of subjects included in the formed group has a high influence of the subject in the group Calculating an action amount, and calculating a point for each subject based on the characteristic action amount;
The program for making a computer perform the step which transmits the calculated | required point or the parameter | index which aggregated the said point.

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