JP2019114047A - Device, method, and program for processing information - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device, an information processing method, and an information processing program capable of determining a user's state with high accuracy. An information processing device (server device 10) detects a movement category moved by a user from a position history accumulating position information including a user's position and a date and time when the user was located at that position. A unit (trip detection unit 132) and an analysis unit 134 that analyzes the user's behavior in the movement category based on a plurality of position information included in the movement category are provided. [Selection diagram] Fig. 2

Description

  The present invention relates to an information processing apparatus, an information processing method, and an information processing program for editing a position history of a moving object.

BACKGROUND Conventionally, there is known an apparatus that analyzes a user's behavior based on the user's state, position, and time (see, for example, Patent Document 1).
In this patent document 1, information on the position and time of the terminal when the terminal transmits an access request to the advertisement distribution server is stored as user history information. In addition, the user history information for a predetermined analysis period is analyzed, and the combination of the position and time of the terminal device is associated with the state of the user of the terminal device (whether work priority or entertainment priority) to generate a state database.

Patent Reissued Patent 2013/164911

  In recent years, also in smart devices such as smartphones and tablet terminals, a positioning function for detecting the self position is installed, and the positioning function is used by various applications (hereinafter referred to as a navigation application).

  According to the following unrecognized and novel findings by the applicant, such a smart device includes non-riding position information, and the smart device is also used for applications other than navigation. For this reason, the information becomes diverse and the application value of the history information (hereinafter sometimes referred to as a probe) including the history of the position of the user is enhanced. For example, using the probe, the user's action area, hobbies and preferences The applicants are examining the analysis of etc. and the use of products etc. for sales promotion.

However, in the conventional apparatus such as Patent Document 1, in order to determine the state of the user only by the position of the user, what meaning the movement of the user has, ie, the state of the user based on the movement of the user Judgment has not been made. In the device described in Patent Document 1, it is difficult to analyze the state of the user with high accuracy and detail.
For example, in Patent Document 1, when the position of the user is within an 800 m area centered on the work place and in the time zone from 10:00 to 18:59 on a weekday, the user's state with the “office” is associated ing. However, just because you are in the vicinity of the office from 10:00 to 18:59 on a weekday is not always working.

  An object of the present invention is to provide an information processing apparatus, an information processing method, and an information processing program capable of determining the state of a user with high accuracy in view of the above-mentioned problems.

  The information processing apparatus according to the present invention is a movement segment detection unit for detecting a movement segment moved by the user from position history in which position information including position of the user and date and time when the user is located at the position is accumulated; And an analysis unit that analyzes an action of the user in the movement segment based on a plurality of pieces of position information included in the movement segment.

  The present invention divides a plurality of position information of a user into a plurality of movement segments, and analyzes the user's behavior for each of the movement segments. In this case, the user's behavior analysis can be performed with high accuracy and detail as compared with, for example, the case where the user's behavior is determined for each position as in the past. That is, in the present invention, in the series of flow of position information, grouped moving segments are detected, and the meaning of the grouped moving segments is analyzed. In this case, the meaning of movement of the position information is analyzed, and it is possible to analyze the intention of the user's series of actions with high accuracy as compared to the case of analyzing the meaning at each position.

BRIEF DESCRIPTION OF THE DRAWINGS The block diagram which shows schematic structure of the information processing system containing the server apparatus which is an information processing apparatus which concerns on 1st embodiment of this invention. BRIEF DESCRIPTION OF THE DRAWINGS The block diagram which shows schematic structure of the server apparatus of 1st embodiment. 6 is a flowchart showing a probe editing process of the first embodiment. The figure which shows an example of the trip contained in a probe. 5 is a flowchart showing trip characteristic determination processing of the first embodiment. Explanatory drawing of the process which determines several trips as a series of trips. The figure which shows another example of the trip detected from the probe. The block diagram which shows schematic structure of the server apparatus of 2nd embodiment. FIG. 8 is a block diagram showing a schematic configuration of a server apparatus according to a modification 1; FIG. 8 is a block diagram showing a schematic configuration of a server apparatus according to a modification 2;

First Embodiment
Hereinafter, an information processing apparatus according to a first embodiment of the present invention will be described.
FIG. 1 is a block diagram showing a schematic configuration of an information processing system 1 including a server apparatus 10 which is an information processing apparatus according to the present invention.
As illustrated in FIG. 1, the information processing system 1 is configured by a server device 10 and a plurality of terminal devices 20 communicably connected to the server device 10 via a network (for example, the Internet or the like).

Here, the terminal device 20 includes a mobile terminal (smart device such as a smart phone or a tablet terminal) owned by the user, as well as a navigation device fixed to a vehicle owned by the user.
In the information processing system 1, the server device 10 associates the position of the user (terminal device 20) transmitted from the terminal device 20 with the date and time when the user (terminal device 20) existed at the position. Information is acquired and accumulated as a position history (probe). Then, the server device 10 deploys the accumulated probes to various services. For example, by determining an attribute (preferenceability or the like) of the user based on the probe and distributing an effective advertisement to the user, it is possible to improve the advertisement effect in the advertisement distribution. Moreover, it can be used for marketing etc. which detect a trade area based on a probe of a plurality of users, and it becomes possible to develop in other various services.

By the way, when position information can be obtained only from the in-vehicle navigation device, a route along which the user travels on the road is clearly acquired. However, in the present embodiment, the position information is acquired not only from the on-vehicle navigation but also from the mobile terminal. Further, the position information detected by such a mobile terminal is added to the information when the user is not in the vehicle, in addition to the information when the user is in the vehicle. Therefore, it is difficult to determine, for example, from which position information to which position information a movement of one segment is a move from a probe that has accumulated position information.
Therefore, in the present embodiment, first, the probe is edited into a form necessary for providing a desired service, and is divided into a plurality of movement sections (hereinafter sometimes referred to as trips) having a group (probe) Editing process). Then, meaning (for what kind of action the user is based on, and henceforth referred to as trip characteristics) is performed for each trip obtained by probe editing (trip characteristic determination), and various types are determined based on the trip characteristics. Deploy the service.
Hereinafter, such an information processing system 1 will be described in detail.

[Configuration of Server Device 10]
FIG. 2 is a block diagram showing a schematic configuration of the server device 10 of the present embodiment.
The server device 10 according to the present embodiment is configured by a computer, and includes a communication unit 11, a storage unit 12, a control unit 13, and the like.
The communication unit 11 is connected to a network, and communicates with the terminal device 20 and other devices on the network via the network.

  The storage unit 12 is a data recording device configured of, for example, a memory, a hard disk, and the like. The storage unit 12 includes a probe DB 121 (position information storage unit), a facility DB 122 (facility information storage unit), a user DB 123 (user information storage unit), and the like.

[Various information stored in storage unit 12]
Here, various information stored in the storage unit 12 will be described.
The probe DB 121 records a probe for each user. This probe includes at least a position history where position information (position, date and time) of the terminal device 20 (user) is accumulated, and a user ID for identifying the user, and in the present embodiment, further, motion information, environment value information, equipment It includes operation information, Apr use information, navigation point information, charge flag information, wireless LAN flag information, and the like.

The position information is information in which the position of the terminal device 20 measured by a positioning sensor provided in the terminal device 20 is associated with the date and time when the position is measured. The position information includes position information transmitted from an on-vehicle car navigation device which is one of the terminal devices 20, and position information transmitted from a mobile terminal such as a smartphone. The position information transmitted from the car navigation device is the position information at the time of getting in, and the position information from the mobile terminal is mainly the position information at the time of non-riding. In this embodiment, a probe in which these are combined is recorded.
The motion information is detection information of a motion sensor (acceleration sensor or gyro sensor) mounted on the terminal device 20, and the acceleration or angular velocity (tilt) or the like applied to the terminal device 20 is recorded.
The environmental value information is measurement information of the environmental value measuring sensor transmitted from the terminal device 20. As an environmental value measurement sensor, a temperature sensor, a humidity sensor, an atmospheric pressure sensor etc. are mentioned, for example, Temperature, humidity, atmospheric pressure, etc. in the ambient environment of terminal unit 20 are recorded as measurement information. Moreover, weather information may be included as environmental value information.

  The device operation information is, for example, information obtained from an operation device such as a vehicle or a machine operated by the user. For example, in a vehicle, a sensor that detects the operating state of each component of the vehicle, such as a sensor that detects an operating state of a brake or reduction of a brake or the like, is provided. The operating state information detected by these sensors is input to a control computer or an on-vehicle navigation device mounted on a vehicle. The device operation information may be directly transmitted from the control computer or the in-vehicle navigation device directly to the server device 10, or transmitted to the server device 10 via the terminal device 20 by Bluetooth (registered trademark) or the like. It is also good. When transmitting directly from the control computer or the in-vehicle navigation device to the server device 10, the control computer or the in-vehicle navigation device transmits the device operation information together with the user ID for identifying the user.

The Apr use information is information indicating a use mode of an application program (hereinafter referred to as Apr) executed in the terminal device 20. The Apr includes a navigation Apr (Navi Apr) that searches for and outputs a route from the departure point to the destination by inputting points such as the departure point, the destination point, and the transit point. In addition to the program for displaying the position of the terminal device 20 on the map on the display unit 21 of the terminal device 20, the navigation Apr also includes a program for displaying the order of lines by public transportation from the departure place to the destination. . Furthermore, it also includes information on usage modes of Apr (for example, Apr such as a game and a browser) other than such Navi Apr.
The mode of use of Apr includes information such as the frequency of use of each Apr, and whether Apr was performed in the foreground or in the background.

The navigation point information is information associated with the position information, and when the departure place or the destination is input in the navigation Apr that displays the user's position on the map and tracks the movement of the user, or the in-vehicle navigation device The departure place and the destination are recorded in
The charging flag information is information associated with the position information, and is flag information indicating whether the terminal device 20 is charging with power from the home power supply when the position information is acquired.
The wireless LAN flag information is information associated with the position information, and when the position information is acquired, it is determined whether the terminal device 20 is connected to the base unit of the wireless LAN, that is, the position via the wireless LAN It is flag information which shows whether information was transmitted.

  In addition, although it is preferable that motion information, environment value information, apparatus operation information, and Apr utilization information are information acquired simultaneously with position information, it is not limited to this. For example, as long as motion information, environment value information, device operation information, and date and time when the Apr utilization information is acquired (measured) are associated, it may not be acquired simultaneously with the position information. That is, each piece of information is recorded in time sequence on the probe. Thus, for example, between the position information acquired at 13:00 on 1/1 and the position information acquired at 13:05 on 1/1, the motion information acquired on 13:03 on 1/1 is recorded In this case, the motion information acquired at 13:03 may be set as temporary motion information at the time of acquiring the position information at 13:00 and at the time of acquiring the position information at 13:05.

The facility DB 122 records facility information (POI; Point of Interest) related to the facility. The facility information includes information such as facility ID, facility name information, facility position information, facility type information, facility use attribute information (user attribute), facility detail information, and facility use number information.
Facility ID is information for identifying a facility, and the facility name is the name of the facility.
The facility position information is information indicating the position of the facility, and, for example, the latitude and longitude, the altitude, the coordinate position on the map data, the facility address and the like are recorded. In addition to the position of the facility, the position of the parking lot may be recorded in the facility position information, and the positions of the facility and the parking lot may be different.
Facility type information records, for example, the type of facility such as a store, a park, a parking lot, and a public facility.
In the facility use attribute information, among the users using the facility, the attributes of the user who is common among the users having a predetermined ratio or more are recorded. For example, user attributes such as having children and having children are recorded for a facility of a children's clothing specialty store.
The facility detailed information is detailed information of the facility, and may include, for example, information such as the presence or absence of a dedicated parking lot, the presence or absence of a benefit at the time of product purchase, and the types of usable credit cards and electronic money. The introduction content etc. of the facility may be recorded.
The facility user number information is the number of users who use the facility, and the number of users every predetermined period (for example, every season, every month, every week, every day, every day, etc.), the number of users every weather The usage frequency of each user, the average stay time of the users, etc. are recorded.

The user DB 123 stores user information in which a plurality of attribute data indicating the characteristics of each user are recorded. For example, a user ID, user name information, user attribute information, user history information and the like are recorded in the user information.
The user ID is information for identifying each user, and has different information for each user. The username information is, for example, the user's name or handle name.
The user attribute information is information indicating the characteristics of the user, and includes various information related to the user, such as gender, age and age group, preference, family structure, and the like.
User history information is information which shows a user's action history. As this user history information, for example, the history of content browsed on the Internet (URL of browsed content and browse date and time), search history when using a search engine etc. (net search and keywords for shopping search, and search date and time) etc. Is included.

  The storage unit 12 also records a plurality of programs to be executed by the control unit 13. These programs include a program for executing an operating system that controls each part of the server device 10, and various application programs (such as an information processing program of the present invention) executed on the operating system.

[Functional configuration of control unit 13]
The control unit 13 is configured by an arithmetic circuit such as a central processing unit (CPU) and a recording circuit such as a random access memory (RAM). The control unit 13 expands the program stored in the storage unit 12 or the like in the RAM, and executes various processes in cooperation with the program expanded in the RAM. Then, the control unit 13 reads and executes the information processing program recorded in the storage unit 12 to obtain an information acquisition unit 131, a trip detection unit 132 (movement segment detection unit), and a base detection unit as shown in FIG. And functions as an analysis unit 134.

(Function of information acquisition unit 131)
The information acquisition unit 131 includes a position information acquisition unit 131A, an action mode acquisition unit 131B, a weather information acquisition unit 131C, a user information acquisition unit 131D, a user history acquisition unit 131E, and the like.

The position information acquisition unit 131A acquires position information (position and date and time) from the terminal device 20. At this time, the position information acquisition unit 131A acquires the position information together with the user ID from the terminal device 20. Then, the acquired position information is recorded (accumulated) from the probe DB 121 to the probe corresponding to the user ID.
Moreover, when the departure place and the destination are input in the terminal device 20, the said point is acquired with a positional information, and it records on navigation point information.
Further, the position information acquisition unit 131A acquires terminal state information indicating the state of the terminal device 20 along with the position information. For example, charging flag information (charging detection information) indicating whether the terminal device 20 is charging with power from a household power supply or indicating whether the terminal device 20 is connected to a wireless LAN master device Wireless LAN flag information (wireless LAN connection information) and the like are received.

The behavior mode acquisition unit 131B acquires, from the terminal device 20, motion information, environment value information, device operation information, Apr use information, and the like. The motion information, the environment value information, the device operation information, and the Apr utilization information are preferably acquired simultaneously with the position information, but may not be acquired simultaneously with the position information.
The weather information acquisition unit 131C acquires weather information from, for example, a weather information distribution server that distributes weather information via the Internet. The weather information acquisition unit 131C acquires the weather at the date and time recorded in the position information of the position recorded in the position information, and records the weather as environmental value information on the probe.

The user information acquisition unit 131D acquires the user information transmitted from the terminal device 20 and records the acquired user information in the user DB 123.
The user history acquisition unit 131E acquires, from the terminal device 20, search histories for various Aprs and search histories on the Internet, and records them in user history information.

(Function of trip detection unit 132)
The trip detection unit 132 determines and marks a break of an action mode (for example, traveling with a vehicle, walking, a train, food and drink, shopping, and the like) in a probe including position history and various other information. That is, the probe is divided into a plurality of trips.
This trip is a group of movement sections where the user has moved, for example, movement from home to work, movement from home to travel destination hotel, etc. At this time, a plurality of trips may be combined into one trip. That is, trips may be detected as a hierarchical structure. For example, trips from home to the destination, trips from walking from home to the nearest station, trips from trains from the nearest station to the destination, and trips from bus from the destination to the destination It may be detected as a substructure.

  Here, the trip detection unit 132 outputs, as a trip, a probe organized for each common part of the behavior mode based on the behavior mode of the user. In this case, a series of trips (such as reciprocation) can be put together, where the car does not fit if the travel history is cut halfway. For example, even if a part of the location history when passing through a tunnel is missing, the trip detection unit 132 is presumed to be the same person from the access environment and the identification information (user ID) of the terminal device 20 and Apr. For the probe, for example, when the departure place and the destination are recorded in the navigation point information, these are put together as the same trip. That is, if the front and back of the missing part coincide, it can be estimated as a single trip.

  In addition, an action mode for detecting a trip (for example, a user's action mode such as traveling on a vehicle, walking, a train, eating and drinking, shopping, etc.) can be determined from various information included in the probe. In the present embodiment, in addition to the position history, the probe includes motion information (acceleration and inclination), sensor information such as environmental values (temperature, humidity, and atmospheric pressure), and device operation information (operation state of vehicle accessories). Be This enables multi-faceted analysis combined with the movement environment and how to use the equipment.

For example, it is possible to determine the characteristics of the behavior (speed, vibration, etc.) of the terminal device 20 based on the motion information, thereby detecting whether the vehicle travels or travels other than vehicle travel (for example, walking after getting off) It is possible to
In addition, since the probe includes the position history of the user, if the position information is, for example, a ski resort, it is possible to detect repetition of the user's sliding on the slope and movement due to lift by combining with the motion information. is there. In such a case, the trip detection unit 132 can also remove these repeated trips as a noise component.

  In addition, the position of the terminal device 20 can be predicted based on the environmental value information. For example, based on the combination of temperature, humidity, and barometric pressure, whether the terminal device 20 is stored in a pocket or the like, whether the user is moving indoors or outdoor, moving the ground, or moving underground It is possible to determine if it is medium. Furthermore, based on the device operation information, it can be determined whether the vehicle is in operation, whether the vehicle is moving on the expressway or traveling on the general road, and the like.

Furthermore, the probe includes Apr usage information, which also enables trip detection based on the usage of Apr. For example, the Apr utilization information includes the utilization frequency of each Apr, and it can be determined that the vehicle is not in operation because the utilization frequency of Apr is high. In addition, it is possible to determine whether the user is traveling based on whether Apr was implemented in the foreground (screen display state) or in the background (while other Apr is in operation or screen display is off). It becomes. Therefore, by combining the motion information, the environmental value information, and the Apr utilization information, it is possible to more accurately determine the behavior mode of the user.
In addition, map Apr and route guidance Apr that performs route guidance often have a function to enter the user's departure place or destination, or a function to search for a destination, and there is a predetermined relevance with Navi Apr. Yes (commonality of business entities and interlocking of functions etc.). Therefore, a trip may be detected based on the departure place or the destination inputted or retrieved by Apr related to these navigation Apr. That is, among the Apr usage information included in the probe, Apr usage information having relevance to the navigation Apr is accompanied by the input of information such as the destination and the search history. As a result, the combination of the probe and the search history makes it possible to analyze using the merits unique to the mobile terminal.

In addition, the probe for every kind of action aspect can also be made into another body, respectively. In this case, for example, it is possible to detect trips classified only by destination, trips classified only by motion information, trips classified only by environmental value information, trips classified only by Apr utilization information, etc. It is also possible to detect trips etc. in which plural or all of them are combined.
In such a case, for example, it becomes easy to differentiate the provision destination and the handling. Also, it is easy to form a hierarchical structure of trips. For example, for a trip from A point to B point, the trip from A point to C point where the motion information becomes the first value, and the motion information becomes the second value It is also possible to divide into a trip from point C to point B.

  Then, the trip detection unit 132 divides the data included in the probe into a plurality of trips as described above, and inserts the marking information at trip separation positions in the probe. This marking information may be associated with the behavior of a separated trip or trip characteristics. By inserting such marking information, it becomes possible to analyze not only while driving but also behavior mode, its order, etc. from various points.

In addition, regarding the method of the division | segmentation of a probe, the trip detection part 132 may generate record data instead of the insertion of the marking information to the break position of a trip.
That is, record data including a trip detected for each behavior mode may be generated, and the classification of the behavior mode may be tagged to each record data. Even in this case, it is possible to analyze the behavior mode, the order thereof, etc. in various ways, as well as while traveling.

(Function of base detection unit 133)
The base detection unit 133 detects a position to be a base of activity of the user, that is, a home position, a work position, and the like. For example, when a user base is recorded in the user information, the base detection unit 133 may detect the user base. However, there are cases where the user changes the user base due to moving or changing jobs, and the user information is not updated, or the user does not register the user base as user information. In this case, the appropriate base is determined Can not. Therefore, even when there is no user base in the user information, the base detection unit 133 detects the user base based on various flag information at the time of acquiring the position information and the trip. If the home which is the user base can be identified, it is possible to identify the workplace, the town that often goes to play, etc., and it can be used for trip characteristic determination and sales promotion.

  Specifically, in the charging flag information associated with the position information, the base detection unit 133 stores flag information indicating that charging is in progress, or wireless LAN flag information associated with the position information. If the information indicating that the wireless LAN is connected to the base unit is recorded, the position of the position information is detected as the home position. In other words, if it is charged, it is determined that it is home, or if it is determined that the connection is established by grasping the radio wave of the wireless LAN base unit, it is determined that it is home.

Also, the base detection unit 133 may determine the base based on the detected trip. For example, when a plurality of trips having the same origin (the first position information included in the trip) are detected, or a plurality of trips having the same end point (the last position information included in the trip) are detected In this case, the positions of these start and end points are determined as the base. At this time, when there is a trip having the same starting point or end point regardless of weekdays and holidays, the starting point or end point can be determined as a home. On the other hand, when there is a trip having the same starting point or end point only on weekdays, the starting point or end point can be determined as a work place.
Further, the base detection unit 133 may combine the charging flag information, the wireless LAN flag information, and the base detection based on the trip start point or the end point, and in this case, the base of the user can be detected with high accuracy. In other words, it is possible to differentiate between the user's activity base such as home or office, the store where the terminal device 20 can be charged, the store where the wireless LAN is opened, and the facility (station etc.) often used by the user. .

(Function of analysis unit 134)
The analysis unit 134 analyzes each trip detected from the probe and determines trip characteristics. That is, the intention and context of the user's action for each trip are analyzed.
Specifically, the analysis unit 134 includes a normal trip analysis unit 134A, a continuous trip analysis unit 134B, a trip characteristic determination unit 134C, and the like.

  The regular trip analysis unit 134A is a special trip that involves routine trips (for example, commuting or moving to school) or a trip to a different area from ordinary activities because of the repeatability of a large number of trips detected from the probe. (For example, shopping, travel, business trip, etc.) That is, it is determined whether a trip (a movement by driving a vehicle or the like) is different from the area where the user is usually active, and the trip is given an intention.

The continuous trip analysis unit 134B organizes the trips into a series of continuous trips (activity categories) based on the start and end points of the plurality of trips. That is, even if there is a time difference due to different dates, etc., reciprocation movement such as an outward return path is detected from the start point and direction of movement, etc. and summarized as one trip.
For example, trip A to move from home to point A on January 1, trip B1 to move from point A to point B on January 2, trip B2 to move from point B to point A on January 2 When a trip C moving from the point A to the home is detected on the 3rd of March, the continuous trip analysis unit 134B determines the trips A, B1, B2, and C as a series of special trips.
That is, when a trip (forward trip) is detected from which the continuous trip analysis unit 134B moves to another point starting from the user's activity base (for example, home), the end point becomes the user's activity base after the relevant trip. Detect a return trip (return trip). Then, a plurality of trips detected between the forward trip, the return trip, and the forward trip and the return trip are combined to form a series of special trips.
In this case, it is also possible to grasp the user's hobbies and preferences by detecting the moving destination point of the user from the facility DB 122. In other words, it is possible to use it for grasping tastes and tastes, sales promotion of travel, etc. by acquiring information on an out-going basis such as travel.

The trip characteristic determination unit 134C analyzes the action purpose of the user in each trip. For example, it is determined whether each trip is for leisure purpose such as shopping or travel, or for business purpose.
For this purpose, the trip characteristic determination unit 134C analyzes each trip and determines the trip characteristic using facility information, weather information, user information, and the like.
For example, the trip characteristic determination unit 134C performs trick characteristic determination based on the matching success or failure between each trip and the facility information (POI). As a specific example, for a trip detected as a movement by driving a vehicle, if the end point of the trip is a parking lot of a shopping center, the trip characteristic is analyzed as a trip for shopping purpose.

At this time, trip characteristics are analyzed with reference to facility user information, weather information, etc. of the facility information as appropriate. For example, if the time at which the trip arrived at the end point is nighttime and the number of users at night in the facility user information is 0, it can be determined that the trip is not for the purpose of using the facility. In addition, when the end point of the trip is the beach and the weather information on the arrival date and time is rainy weather, it can be determined that the movement is not for the purpose of swimming.
Although the example which determines the plant | facility of the end point of a trip was shown, you may determine by the combination of an origin and an end point. For example, if the trip end point is a hotel, it can be determined that the trip possibility is high if the trip start point is a work place, and if the trip start point is a home, the trip possibility is high.

  Thus, in addition to the date and time (day of the week etc.) where the trip characteristic determination unit 134 C has moved to the movement destination, the trip characteristic and the purpose such as leisure are considered in consideration of the weather at the movement date and time, and from where. Indicate each probe whether it is a trip or a trip aimed at a business such as a business trip.

  In addition, the trip characteristic determination unit 134C uses the facilities according to the number of trips having the same point (facilities) as an end point in the probes acquired from a plurality of users instead of the facility user number information of the facility information. The purpose may be determined. In other words, trip characteristics (private, work, sightseeing, etc.) by determining the presence or absence and the number of visitors or stayers more than a predetermined amount, date and time characteristics, visitor attribute trends, etc. for each facility information from a large number of probes. Can also be determined. Furthermore, each facility information may be updated based on a large number of probes acquired from a plurality of users.

Furthermore, the trip characteristic determination unit 134C may analyze the trip characteristic based on the user attribute recorded in the user information and the history information, and the ID (user identification information) or the movement associated with the ID (probe And history (other than motion information, environment value information, Apr use information, credit card use history, etc.) and attributes can also be used for analysis of trip characteristics.
For example, the trip characteristic determination unit 134C analyzes the trip characteristic in consideration of not only the travel history of a car and the like but also the browsing history and the keywords of the net search and the shopping search. Specifically, from the browsing history of content on the Internet, the keyword used in the internet search or shopping search, the keyword input at the time of using Apr, etc. by the operation of the terminal device 20 during the movement from the start point to the end point of the trip , Analyze the user's behavior at the destination. Moreover, you may extract a keyword etc. from the utilization form in the other Apr linked with ID.
Furthermore, the user's behavior or purpose in the trip may be analyzed based on the family configuration included in the user information, the facility attribute of the facility information (POI), and the stay time. In the determination of the stay time in the facility, for example, as in the case of the base detection (home determination), the time during which the radio wave of a predetermined wireless LAN master device is received can be exemplified.

[Configuration of Terminal Device 20]
As described above, the terminal device 20 is a computer owned by the user, and includes, for example, an on-vehicle car navigation device as well as a smartphone and a tablet terminal.
The terminal device 20 includes, for example, as shown in FIG. 1, a display unit 21, an input operation unit 22, a terminal communication unit 23, a sensor unit 24, a terminal storage unit 25, a terminal control unit 26, and the like. .
The display unit 21 is configured of, for example, a liquid crystal display, and displays a predetermined image under the control of the terminal control unit 26.
The input operation unit 22 may be configured by, for example, a touch panel provided integrally with the display unit 21, or may be configured by an input device such as a keyboard or a mouse. The input operation unit 22 is operated by the user to output an operation signal corresponding to the operation to the terminal control unit 26.
The terminal communication unit 23 communicates with the server device 10 and a predetermined device on the network. In addition, the terminal communication unit 23 includes short distance communication means (for example, Bluetooth (registered trademark) etc.), and communicates with a control computer provided in a vehicle navigation device or vehicle connected using, for example, short distance communication. It can also be done. In this case, the device operation information can be received from the in-vehicle navigation device or the control computer.

  The sensor unit 24 includes, for example, a positioning sensor 241 configured of a GPS device, a motion sensor 242 including an acceleration sensor, a gyro sensor, and the like, and an environmental value measuring sensor 243 including a temperature and humidity sensor and an atmospheric pressure sensor.

  The terminal storage unit 25 is configured of, for example, a data recording device such as a memory or a hard disk. The terminal storage unit 25 includes, for example, user's information about the user input by the input operation of the input operation unit 22, an operation history when the user operates the terminal device 20, an action history of the user on the Internet A content browsing history or a search history), a history of each detection result detected by the sensor unit 24, or the like may be recorded. Further, various programs and the like for controlling the terminal device 20 are recorded in the terminal storage unit 25.

  The terminal control unit 26 is configured of an arithmetic circuit such as a central processing unit (CPU) and a recording circuit such as a random access memory (RAM), and controls each unit of the terminal device 20. The terminal control unit 26 expands a program (software) stored in the terminal storage unit 25 or the like in the RAM, and executes various processes in cooperation with the program expanded in the RAM. Specifically, the terminal control unit 26 reads and executes the above-mentioned program, thereby activating a predetermined Apr or activating the sensor unit 24 of the terminal device 20 according to the operation of the input operation unit 22 by the user. Position information and sensor information (motion information, environmental value information). Further, the terminal control unit 26 transmits various information recorded in the terminal storage unit 25 to the server device 10 based on, for example, a user operation.

[Information processing method]
(Probe editing process)
Next, probe editing processing in the information processing method in the server apparatus 10 as described above will be described.
FIG. 3 is a flowchart showing the probe editing process.
The information acquisition unit 131 of the server device 10 is a user other than the position history (position, date and time) transmitted from the terminal device 20, each sensor information (motion information, measurement date and time) measured by the sensor unit 24, and Apr usage information The action history (Internet information browsing history, search history, etc.) according to is acquired, accumulated and recorded in the probe DB 121 as a probe (step S1; position information accumulation step).

Next, the control unit 13 determines whether it is time to execute the probe editing process (step S2). For example, the control unit 13 determines whether or not a predetermined cycle set in advance (for example, every day, every week, etc.) has come. When it is determined as No in step S2, the process returns to step S1, and acquisition of the probe is continued.
If it is determined Yes in step S2, the trip detection unit 132 performs trip detection.

  Specifically, the trip detection unit 132 first determines the action mode of the user for each piece of position information included in the probe (step S3).

  In the determination of the behavior mode, the trip detection unit 132 uses motion information, environment value information, device operation information, Apr utilization information, navigation point information, and the like included in the probe. The motion information, the environment value information, the device operation information, the Apr utilization information, and the navigation point information are preferably acquired simultaneously with the position information, but may not be acquired simultaneously. For example, motion information, environment value information, device operation information, Apr utilization information, and navigation point information acquired within a predetermined time centering on acquisition timing of position information may be used as information indicating an action mode for the position information. Good.

Next, the trip detection unit 132 detects a trip included in the probe based on the detected action mode (step S4: movement segment detection step).
That is, in the position information arranged in time series, a portion (continuous position information) having a common behavior is detected and set as a trip.
As a result, for example, even when the user moves in a tunnel or underground, even if the position information can not be acquired, if the behavior mode before and after that is the same, it is detected as a series of trips. That is, even if there is a missing portion in the position information, it can be interpolated.

In step S4, a trip may be detected for each behavior mode.
FIG. 4 is a diagram showing an example of a trip included in the probe.
For example, in the example illustrated in FIG. 4, position information from the L1 point, through the L2 point and the L3 point to the L4 point is recorded in the probe P.
In this example, in the terminal device 20, the navigation Apr is activated, and the movement along the route from the L1 point to the L4 point is implemented, and in each position information from the L1 point to the L4 point, the navigation point information (purpose Land L4) is associated. Further, as the motion information, motions M1 corresponding to the movement of the vehicle from L1 to L2 and motions M2 corresponding to the walking movement are recorded from L2 to L4. Furthermore, as environmental value information, from L1 point to L2 point, the environmental value E1 indicating the inside of the car, from L2 point to L3 point, the environmental value E2 indicating road (above the ground), from underground point L3 to L4 point An environmental value E3 shown is recorded. Furthermore, as Apr use information, Apr use information A1 from the L1 point to the L2 point, and Apr use information A1 indicating that the navigation Apr is being executed in the background, and from the L2 point to the L4 point, the navigation Apr is executed in the foreground The Apr usage information A2 is recorded.

In this case, the trip detection unit 132 detects each piece of position information from the L1 point to the L4 point as the trip A, in which the destination (L4 point) of the navigation point information is common. Further, based on the motion information, a trip a1 from the L1 point to the L2 point common to the motion M1 and a trip a2 from the L2 point to the L4 point common to the motion M2 are detected. Furthermore, based on the environmental value information, the trip a1 common to the environmental value E1, the trip a21 from the L2 point to the L3 point common to the environmental value E2, and the trip a22 from the L3 point to the L4 common to the environmental value E3 To detect. In this example, trips based on the Arp utilization information are trips a1 and trips a2 as in the case of the motion information.
In addition, the movement after reaching the L4 point is a movement that reciprocates within a predetermined distance range centered on the L4 point (reciprocation from the L4 point to the L5 point), and in this case, trips related to these round trips are noise It may be removed as a component.
Furthermore, when the user does not move from the predetermined position, a plurality of pieces of position information having the same position and different dates and times are continuously detected, and the motion information is also a value corresponding to stillness or fine movement. In this case, the trip detection unit 132 may detect position information with the same position as one trip (a trip indicating that the user is staying at the position). In this case, it is possible to detect the stay time of the user at the predetermined position, and also to detect the sleep time of the user when the stay position is at home or the like.

  After step S4, the trip detection unit 132 edits the probe based on the detected trip (step S5). That is, marking information is inserted between the trip and the trip so that each detected trip can be determined. In step S5, the trip detection unit 132 associates the behavior mode of the trip divided into each piece of marking information. For example, in the example of FIG. 4, the marking in which the action mode of the trip a1 (motion M1, environmental value E1, Apr utilization information A1, destination L4; movement in vehicle travel) is associated between the trip a1 and the trip a2. Information is inserted. Between the end point after the trip a2 and the next position information, the action mode of the trip a2 (motion M2, Apr utilization information A2, destination L4; walk movement) and the action mode of the trip a22 (motion M2, environment) Marking information associated with values E3, Apr utilization information A2, destination L4; underground movement by walking is inserted. Between the trip a21 and the trip a22, marking information associated with the action mode of the trip a21 (motion M2, environment value E2, Apr utilization information A2, destination L4; movement on the ground by walking) is inserted.

  In the editing of step S5, for example, record data may be generated as described above. In this case, the trip detection unit 132 generates record data (data in which the contained position information is recorded) corresponding to trip A, trip a1, trip a2, trip a21, and trip a22, and acts on each record data. Aspect tags.

(Base detection process)
Next, base detection processing in the information processing method of the server device 10 will be described.
The server device 10 performs a base detection process to analyze trip characteristics of each trip detected by the probe editing process. This site detection process may be performed periodically, and may not be performed every time after the probe editing and before the trip characteristic determination.
The site detection process is performed in consideration of the possibility that the site information of the user registered in the user information is not updated or the possibility of not being registered.
In the base detection process, the base detection unit 133 sets location information where a flag of charging flag information is set (indicating charging) and a flag of wireless LAN flag information is set (that connection with a wireless LAN is in progress. Show location information).
Then, these pieces of position information are determined as the user's base (home or work).

  At this time, the position where the terminal device 20 is filled for a predetermined time or more or the position where the wireless LAN is connected may be determined as the user base. That is, when a plurality of pieces of position information in time series are the same (the stay time is a predetermined time or more), and each piece of position information has a flag of charge flag information or wireless LAN flag information set. , May be determined as a base.

  Also, from the trips detected in the probe editing process, a plurality of trips having the same origin and end point are detected, and when the charging flag and the wireless LAN flag are set at the origin and end points of these trips, the base It may be determined as Furthermore, home and work may be determined based on the date and time of the trip. For example, with the location information where the charging flag and the wireless LAN flag are set, and the location (base) at which the trip starts and ends regardless of weekdays and holidays, the home is the trip start and end points only on weekdays. Position as the workplace.

(Trip characteristic judgment)
Next, trip characteristic determination processing in the information processing method of the server device 10 will be described.
FIG. 5 is a flowchart showing trip characteristic determination processing.
When a plurality of trips are detected by the probe editing process as illustrated in FIG. 3, the server device 10 performs trip characteristic determination processing of analyzing each trip and determining trip characteristics.
Specifically, first, the continuous trip analysis unit 134B detects a continuous trip (step S11).
That is, the start and end points of each of the plurality of trips included in the probe are detected, and a series of trips from the user's base position to the return to the base position are specified.
FIG. 6 is an explanatory diagram of a process of determining a plurality of trips as a series of trips.
For example, the trip B1 shown in FIG. 6A is a trip with the start point at home and the end point at work. In this case, the continuous trip analysis unit 134B determines that the trip B1 is a single trip.
Here, although trip B is a single trip, for example, when a plurality of trips are detected by a moving means (car movement, train movement, walking), etc., continuous trips having these plurality of trips are used. It may be detected as

On the other hand, in the example shown in FIG. 6B, if there is a trip B21 whose starting point is home (user base) and the end point is store b1 (non base), does the end point of the following trip B22 be the user base? It is determined whether or not. Here, for example, when the trip B22 is a trip to move from the store b1 to the store b2, it is further determined whether the end point of the subsequent trip B23 is the user base. Then, for example, when the end point of the trip B23 is a user base (for example, at work), the trip B21, the trip B22, and the trip B23 are determined as the continuous trip B2 from home to work.
The determination of such continuous trips can be suitably made, in particular, travel, business trips, etc., and suitable determination of movement away from home or work for a certain period of time by the user. For example, a series of travel processes can be determined as one trip, such as moving from home to a travel destination, traveling around a plurality of tourist destinations at the travel destination, and returning to home.

After this, the normal trip analysis unit 134A determines whether each single trip or each continuous trip detected in step S11 is a trip repeated daily or a special trip not everyday. (Step S12).
The normal trip analysis unit 134A determines whether it is a normal trip or a special trip based on, for example, the start and end points of each trip and the time from the start point to the end point. For example, when trips related to movement from home to work and trips related to movement from work to home are repeated on a weekday, if the time related to these movements is the same or substantially the same, a normal trip It is judged. In addition, a trip indicating a return to a specific determined store may also be determined as a normal trip.

Even in the case of continuous trips including a plurality of trips as shown in FIG. 6B, for example, in the case where a plurality of business destinations are to be traveled in a predetermined order, it can be determined as a normal trip. On the other hand, in a trip etc., since it is a trip different from a usual time, it is judged as a special trip.
In addition, for example, even if it is a trip indicating a return from work to home (a start point is work and an end point is a home), when the time involved in movement is different, it is determined that the special trip is different from the normal trip. For example, if the user enjoys a drive after work and then goes home, the trip related to the boarding will be longer than trips from other work places back to home, and the location information included in the trip will also be other trips. Is different position information. Alternatively, when the user goes to a shopping center after work, for example, during a trip from work to home, a trip indicating movement from work to a store such as a restaurant is also detected.

Thereafter, the trip characteristic determination unit 134C determines trip characteristics for each trip (step S13; analysis step).
In step S13, as described above, the trip characteristic determination unit 134C determines a plurality of materials, that is, facility information, user information, user history information, weather information, behavior mode determined in the probe editing process (motion information or environment The trip characteristic which is the meaning of the user's action for each trip is determined from various information such as value information, equipment movement information and Apr utilization information) or by combining each information.

FIG. 7 is a diagram showing another example of the trip detected from the probe.
The example shown in FIG. 7 shows a series of continuous trips that return to the user base (home) after moving the point L1 and the point L2 from the user base (home).
Trip C1 which constitutes continuation trip C is a trip (the 1st movement division) which makes a home a starting point and makes an L1 point an end. The trip characteristic determination unit 134C refers to the facility DB 122 and searches for facility information that matches the end point (L1 point). Then, the facility type information of the searched facility information is referred to. In the example of FIG. 7, “hot spring inn” is recorded as facility type information of facility information corresponding to the L1 point. Therefore, the trip characteristic determination unit 134C determines “travel to a hot spring inn” as the trip characteristic of the trip C1. In addition, you may determine movement classification (a boarding, a walk, a train etc.) as a trip characteristic. The movement type can be determined from an action mode such as motion information used at the time of detection of a trip.

  Further, the trip C2 is a trip where the position history during a predetermined time is all L1. At this time, for example, when the user's movement is not detected based on an action mode such as motion information, the trip characteristic determination unit 134C performs a trip with "stay in a hot spring inn" with respect to the trip C2. Determine the characteristics. Also, if the user's past search history on the Internet (for example, user history information recorded in user information) includes a keyword such as "hot spring", or the user's taste is hot spring as user attribute information of user information When the effect is recorded, the trip characteristic determination unit 134C may determine the trip characteristic of “being bathed in the hot spring” with respect to the trip C2.

The trip C3 is a trip indicating the movement from the point L1 to the point L2. Also in this case, the trip characteristic determination unit 134C determines the facility at the point L2 based on the facility information.
For example, the facility type information “store” of facility information corresponding to the point L2, and the usage history such as date and time when the user is located at the point L2, weather information, facility user information, facility user attributes, credit card, etc. Based on the above, the trip characteristic determination unit 134C determines the trip characteristic of “shopping” for the trip C3. Further, by referring to the content browsing history of the user's Internet information, it is also possible to determine more detailed trip characteristics such as "purchite souvenirs from wharf".
The trip C4 is a trip back to the user base (first movement category), and the trip characteristic determination unit 134C determines the series of consecutive trips from the trip C1 to the trip C4 determined as described above, for example, “○○○ As a trip to a hot spring, the trip characteristic is determined.

  The determination of the trip characteristic by the trip characteristic determination unit 134C may be determination using a learning model. For example, it is obtained by various information (for each position information included in the trip, facility information for the end point, weather information, user information, user history information, action modes such as motion information included in the trip), questionnaires, actual values, etc. A learning model having the above-mentioned various information for the trip as an input value and the user's behavior as an output value is generated using the actual user's behavior as described above. As a result, if trip characteristics are determined using a learning model, the processing time for trip characteristics determination can be shortened, and the accuracy can be dramatically improved as the number of users and the number of trips increase.

  Then, after determining the trip characteristic for each trip as described above, the analysis unit 134 tags the trip characteristic to marking information or record data indicating the trip classification, associates the trip characteristic, and records (step). S14).

[Operation and effect of the first embodiment]
The server apparatus 10 (information processing apparatus) according to the present embodiment acquires position information including the position of the user and the date and time when the user is located at the position, and accumulates it as a position history (recording as a probe including position history Trip detection unit 132 (movement division detection unit) that divides the probe DB 121 (position information storage unit) and the plurality of pieces of position information included in the position history into a plurality of trips (movement divisions) based on the user's action mode And.

  In this embodiment, the user's trip is detected on the basis of position information acquired from a wide variety of devices acquired by a car navigation device or a portable mobile terminal such as a smartphone. Do. In this case, it is possible to detect a highly accurate trip (movement segment) capable of analyzing the user's behavior with high accuracy.

The server apparatus 10 according to the present embodiment includes an action mode acquisition unit 131B that acquires an action mode of the user. Then, the trip detection unit 132 (movement segment detection unit) acquires the action mode of the user at the time of acquiring the position information, and detects a trip (movement segment) in which position information having a common action mode is summarized.
As described above, by combining location information having common behavior modes, highly accurate trip detection is possible. For example, when the user travels in a tunnel or underground, if the position history is cut off halfway and is missing, the two position histories sandwiching the missing portion may not be identical if the trips are different. . In the present embodiment, these two position histories can be grasped as a series of trips due to the commonality of action modes, and highly accurate probe editing becomes possible.

In the server device 10 of the present embodiment, the behavior mode acquisition unit 131B acquires, as a behavior mode, motion information detected by the motion sensor 242 that detects the movement of the terminal device 20.
By acquiring such motion information, it is possible to determine the movement of the terminal device 20 from the acceleration, speed, inclination, etc. acting on the terminal device 20. Thereby, the trip detection unit 132 preferably determines the type of movement, such as whether the user who holds the terminal device 20 is moving by a vehicle, is moving by foot, or is moving by train. It can be implemented.

In the present embodiment, the action mode acquisition unit 131B acquires, as an action mode, an environmental state (environmental value such as temperature / humidity or atmospheric pressure) measured by the environmental value measurement sensor 243 that detects an environmental state around the terminal device 20. .
Such environmental values can detect whether the user is indoors, in a car, on the ground or underground, etc., and more accurately detect the user's behavior based on the environmental values. can do.

  The action mode acquisition unit 131B of the present embodiment further detects Apr use information which is a use mode of Apr executed in the terminal device 20. Such a use state of Apr enables, for example, determination of a move type such as movement by one person when the use frequency of Apr is high, and movement with a plurality of friends when the use frequency of Apr is low.

Furthermore, the behavior mode acquisition unit 131B includes, as Apr utilization information, information on whether Apr was performed in the foreground or in the background.
If Apr is running in the foreground, the user is less likely to drive the vehicle. By detecting whether such Apr is performed in the foreground or in the background, the determination accuracy as to whether or not the user is driving a vehicle can be further improved.

In the present embodiment, the behavior mode acquisition unit 131B further detects the setting history of the destination when using the Apr having a predetermined relevance with the Navi Apr.
Thus, for example, after the destination is set, the destination is recorded as navigation point information in a plurality of position information along a time series from when the position indicated by the position information becomes the destination. Can.

Then, in the present embodiment, the trip detection unit 132, as a plurality of pieces of position information along the time series, arranges, for example, pieces of position information in which the destinations recorded in the navigation point information are the same.
As a result, even if there is a drop in a plurality of pieces of position information constituting a series of travel history (movement history), it is possible to detect the same trip from the destinations before and after the missing portion. The missing can be interpolated.
In addition, even when the movement type is different, such as vehicle movement, walking movement, and movement using public transportation, for example, it is possible to detect one trip as movement having the same destination.

In the present embodiment, the trip detection unit 132 excludes, from the detection targets of trips, the position information for reciprocating at two points, when the position history includes a plurality of pieces of position information for reciprocating at the same two points in a predetermined period.
Thereby, for example, trips such as sliding on a ski slope and lift movement can be removed as a noise component.

The probe DB 121 of this embodiment stores a probe for each user ID. Then, the trip detection unit 132 detects a trip for each user ID.
Thereby, the trip concerning the movement of the same person can be detected accurately.

In this embodiment, a plurality of devices such as a car navigation system and a mobile terminal are used as the terminal device 20 for acquiring position information. That is, position information collected from a plurality of devices will be recorded in one probe.
That is, position information when the user gets in the vehicle is acquired from the navigation device mounted on the vehicle. In addition, in the mobile terminal operated by the user, the position sensor 241 is made to function to start the Apr for acquiring the position information, whereby the position information when the user is not boarding is acquired.
As a result, the position information in the car navigation apparatus and the position information in the mobile terminal can be combined into one probe. Therefore, it is possible to acquire position information of the user who is not limited to getting on or off, and it is possible to carry out multilateral trip detection which is not limited to one moving means such as getting on or walking.

In this embodiment, the trip detection unit 132 edits the probe by inserting marking information into the probe in the section of the detected trip. That is, when the trip detection unit 132 detects the first movement segment and the second movement segment following the first movement segment, the first movement segment in the position information accumulated along the time series is detected. Between the last (end) position information of the second movement segment and the first (starting point) position information of the second movement segment, marking information (division information) indicating the division of the movement segment is inserted.
This makes it possible to analyze behavior patterns and their order in multiple ways. Moreover, it becomes possible to determine the meaning of each marking information easily by relating the behavior aspect and trip characteristic in each trip to the said marking information.
Furthermore, by directly inserting marking information into the probe, processing load and data volume can be reduced as compared with the case of separately generating record data and the like.

In addition, as a method of the division of a trip by the trip detection part 132, you may produce | generate the record data for every trip, for example.
Even in this case, it is possible to analyze the behavior mode and the order thereof in various ways. Further, by relating the behavior mode and trip characteristic in each trip to the record data by tagging the record data, it is possible to easily determine the meaning of each trip.
In addition, when record data is generated, although the data capacity and load increase, there is an advantage that management for each trip becomes easy.

And in this embodiment, analysis part 134 analyzes a user's action to each trip detected as mentioned above.
As a result, for example, the user's behavior analysis can be performed with high accuracy and detail as compared with the case where the user's behavior or situation is determined for each position as in the prior art. That is, in this embodiment, in the series of flow of position information, a common part is detected as a trip, and the meaning of the common part is analyzed. In this case, not only analyzing the meaning of each piece of position information, but also analyzing the meaning of movement of the position information, it is possible to analyze the behavior of the user in detail with high accuracy.

In the present embodiment, the site detection unit 133 acquires the user site, and the analysis unit 134 analyzes the trip based on the start and end points of the trip. Such a user base (active base) is an important element in specifying the behavior of the user, and by determining the user base, the determination accuracy of the trip characteristic is improved.
Then, in the present embodiment, the analysis unit 134 is a trip in which the trip starting point is the user base (the first movement segment, for example, trip C1 in FIG. 7), and the end point is the user base in the trip (second movement segment). For example, a trip C4) shown in FIG. 7 is detected to be a continuous trip. At this time, a plurality of trips between the trip serving as the first movement segment and the trip serving as the second movement segment are incorporated into the continuous trips.
This makes it possible to determine trip characteristics that indicate a series of user actions, such as travel, business trip, shopping, and the like.

In the present embodiment, when there is charging flag information (charge detection information) in the terminal state information received together with the position information by the position information acquisition unit 131A, the base detection unit 133 determines the position information as the user base.
When the terminal device 20 is located at home or at work, the terminal device 20 is often charging with power supplied from a home power supply. Therefore, when position information is acquired, it is possible to accurately determine the user base by determining whether charging is in progress based on the charging flag information.

In addition, terminal status information acquired together with the position information by the position information acquisition unit 131A indicates that the terminal device 20 receives the radio wave of the wireless LAN master and communicates by Internet connection via the wireless LAN master. If there is a wireless LAN flag (wireless LAN connection information) that is flag information, the base detection unit 133 determines that the position information is a user base.
When the terminal device 20 is located at home or at work, communication is often performed by connecting the terminal device 20 to a wireless LAN master device. Therefore, when the position information is acquired, the user base can be determined with high accuracy by determining whether or not the wireless LAN connection is established based on the wireless LAN flag information. Further, by combining the charging flag information and the wireless LAN flag information described above, it is possible to determine the user base with higher accuracy.

The base detection unit 133 determines the start point as the user base when there are a plurality of trips having the same start point, or determines the end point as the user base when there are a plurality of trips having the same end point.
The user base is a starting point or an end point of many user actions, such as travel, business trip, shopping, and the like. Therefore, there is a high possibility that the trip having the same starting point in a plurality of trips detected by the trip detection unit 132 is a trip where the user moved from the user base to another point, and the trip having the same end point is the other There is a high possibility that the user will trip back to the user location from the point of. Therefore, based on the start and end points of these trips, it is possible to accurately determine the user location. At this time, by using the charging flag information and the wireless LAN flag information as described above in combination, the user base can be determined with higher accuracy.

In the present embodiment, facility information including facility location (facility location information) and facility attributes (facility type information, facility usage attribute information, facility detailed information, facility user number information, etc.) is recorded in the facility DB 122 There is. Then, the analysis unit 134 extracts facility information corresponding to the position of the end point of the trip, and determines the trip characteristic which is the action of the user.
By using such facility information (POI), it is possible to easily and accurately determine what the user has done for the end point.

Further, the facility information includes facility user number information that records the number of facility users for each predetermined period, and the analysis unit 134 analyzes the trip characteristic based on the date and time recorded in the location information of the end point of the trip. .
In a facility, depending on the time zone, there may be a difference in the number of users of the facility. For example, many stores close at night, and in the night time zone, users for shopping purposes do not visit the store, so the number of users is almost zero. Therefore, it is possible to easily determine whether the user has used the facility based on the date and time of the end point in the trip and the facility user number information.

The facility information also records the number of users for each weather as facility user number information.
And server apparatus 10 of this embodiment is provided with weather information acquisition part 131C which acquires the weather information which shows the weather in the date of position information, and analysis part 134 corresponds to the date of position information corresponding to the end point of a trip. The trip characteristics are determined based on the weather and the facility user number information.
Thus, for example, for a trip that visits a beach when it rains, the possibility of determining a trip characteristic with a sea bath is low, and it is possible to determine an appropriate trip characteristic according to the weather.

Furthermore, in the present embodiment, the facility information includes facility use attribute information indicating the user attribute of the user who uses the facility. Then, the analysis unit 134 determines the trip characteristic based on the attribute of the user recorded in the user information and the facility use attribute information.
Thus, for example, when an attribute such as having children is recorded as a user attribute in the user information with respect to a trip having a store where children's goods are sold as an end point, trip characteristics such as shopping of children's goods are determined can do. That is, as the trip characteristics, detailed characteristics can be determined according to the attributes of individual users.

Furthermore, the analysis unit 134 determines the trip characteristic based on the attribute of the facility of the facility information and the time of stay at the facility.
For example, as in the case of the trip C2 shown in FIG. 7, when the position information does not move for a predetermined time, the staying time of the user can be detected. And by combining with the facility information, it can be determined what the stay is for.

Furthermore, the server device 10 acquires user history information including the user's behavior history on the Internet. Then, the analysis unit 134 determines the trip characteristic based on the user history information.
For example, as shown in trip C3 of FIG. 7, more detailed trip characteristics can be determined.

Further, the analysis unit 134 determines the trip characteristic based on the user information.
For example, based on the family configuration recorded as the user attribute of the user information, it is possible to determine with high accuracy the purpose when the user visits the facility.
In addition, various information linked to the user ID can also be used. For example, it is possible to determine the preference of the user by using the credit card usage history linked to the user ID, the usage history of Internet shopping on the Internet, etc., thereby tripping more detailed content. It becomes possible to determine the characteristics with high accuracy.

Second Embodiment
Next, a second embodiment according to the present invention will be described.
The above-described first embodiment exemplifies one which performs probe editing and analysis of trip characteristics using the edited probe. On the other hand, in the second embodiment, utilization of analyzed trip characteristics will be described.

In the present embodiment, an example in which the server device 10A distributes an advertisement based on the trip characteristic will be described. Note that, in the following description, items already described will be denoted by the same reference numerals, and the description will be omitted or simplified.
FIG. 8 is a block diagram showing a schematic configuration of the server device 10A of the present embodiment.
In the present embodiment, the storage unit 12 includes a distribution advertisement DB 124 (advertisement storage unit) in addition to the probe DB 121, the facility DB 122, and the user DB 123 described above.

A plurality of distribution advertisement information to be distributed to users is recorded in the distribution advertisement DB 124. For example, advertisement ID, advertisement content information, advertisement attribute information, advertisement unit price information, advertisement facility position information, and distribution position information are recorded in the distribution advertisement information.
Advertisement ID is identification information for identifying advertisement information. The advertisement content information records an advertisement to be distributed to the user, and for example, an image, a moving image, a voice, etc. may be recorded.
The advertisement attribute information is an attribute of an advertisement, and records, for example, an attribute of a user that an advertiser wishes to distribute.
The advertisement facility position information is recorded, for example, when the advertisement is content related to a facility such as a store, and indicates the position of the facility. When the content of the advertisement is a product or a service, the position of the facility where the product can be purchased and the position of the facility where the service can be received may be recorded.
The delivery position information records the position at which the advertisement is delivered to the user. A plurality of positions may be recorded as the distribution position information. Moreover, the position etc. of the signage which displays an advertisement may be recorded.

  Further, in the present embodiment, the control unit 13 also functions as a user extraction unit 135, an advertisement distribution unit 136, and a totaling unit 137 in addition to the information acquisition unit 131, the trip detection unit 132, the base detection unit 133, and the analysis unit 134. Do.

  The user extraction unit 135 extracts (selects) a user to whom an advertisement is to be distributed. That is, the number of target trips is detected by including the trips of the trip characteristic having the same attribute as the advertisement attribute recorded in the advertisement attribute information in the probe of each user, and the user whose target trip number is a predetermined number or more is detected. , As a target user of the advertisement delivery.

  The advertisement distribution unit 136 distributes advertisements to distribution target users. The advertisement to be delivered is advertisement attribute advertisement information (identical or similar) corresponding to trip characteristics included in many of the user's trips, as described above.

  Also, the above is an example in which the advertisement information is extracted by the user extraction unit 135 and distributed when the advertisement to be distributed is determined. On the other hand, the advertisement distribution unit 136 may distribute advertisement information to all users. In this case, the advertisement distribution unit 136 specifies the most frequent trip characteristic in trip characteristics of a plurality of trips of the user, and distributes the advertisement information of the advertisement attribute corresponding to the trip characteristic to the user.

  At this time, the advertisement distribution unit 136 may control the distribution timing of the advertisement information according to the position of the user. For example, when the position information of the user distributed from the terminal device 20 matches the distribution position recorded in the distribution position information, or the advertisement distribution unit 136 becomes within a predetermined distance range from the distribution position, the advertisement distribution unit 136 It may be distributed.

  It does not specifically limit as a delivery method of an advertisement, For example, when a user is driving | running | working, you may output an advertisement audio | voice from the terminal device 20. FIG. In addition, when the user is moving by walking or the like and in a state where the mobile terminal can be operated, the display unit 21 of the terminal device 20 may display the information by a push notification or the like. Furthermore, when there is a display capable of outputting an advertisement such as signage on the wayside where the user is moving, the advertisement information may be transmitted and displayed on the signage. Also, some of these advertisement delivery methods may be used in combination. For example, during navigation guidance by a car navigation device or a terminal device 20 of a mobile terminal, a voice advertisement is presented, an advertisement is also presented on a roadside signage, and utilization is realized by seeing effects and optimizing each combination of both. It becomes possible.

The counting unit 137 counts the responsiveness of the user to the delivery of the advertisement. Specifically, the counting unit 137 determines whether the user has responded to the advertisement based on the trip.
For example, in the present embodiment, when the user moves to the position indicated by the distribution position information, the advertisement distribution unit 136 distributes the advertisement of the facility at the position recorded in the advertisement facility position information to the user. Thereafter, the position information transmitted from the terminal device 20 operated by the user is accumulated as a probe, and as described in the first embodiment, the trip detection unit 132 detects a trip, and the analysis unit 134 analyzes the trip. To determine the trip characteristics. Here, the analysis unit 134 includes the position where the advertisement is distributed by the advertisement distribution unit 136 in the position information included in the trip, and obtains position information of the position indicated in the advertisement facility position information in the subsequent trip. If so, the trip is determined as an advertisement-induced trip (movement segment based on advertisement delivery). In addition, when the destination (navi destination information) from the starting point to the advertisement delivery position is the point L and the destination is changed to the advertisement facility position after the advertisement delivery position, a trip from the starting point to the advertisement delivery position, A trip from the ad delivery location to the ad facility location is detected. In this case, the analysis unit 134 determines that the trip from the advertisement delivery position to the advertisement facility position is an advertisement-induced trip.

  The aggregation unit 137 aggregates the number of such advertisement-induced trips, thereby aggregating which advertisement the user is highly responsive when delivering. At this time, the counting unit 137 counts, for each user, the highly responsive advertisement information and the number of users who have responded to the advertisement for all the users who have delivered the advertisement (the advertisement response rate). Thus, the user extraction unit 135 can extract a user having high responsiveness to each piece of advertisement information.

[Operation and effect of this embodiment]
In this embodiment, when the advertisement distribution unit 136 distributes the advertisement information to the user, the user extraction unit 135 extracts the user including many trips of trip characteristics corresponding to the advertisement attribute of the advertisement information to be distributed. Then, the advertisement distribution unit 136 distributes the advertisement information to the extracted user. That is, an advertisement is provided to a person having many trips related to the advertisement.
As a result, advertisement delivery based on a trip indicating the actual movement results of the user can be performed, the advertisement effect can be enhanced, and effective sales promotion can be realized.

Further, the advertisement distribution unit 136 selects advertisement information from the distribution advertisement DB 124 and distributes it to the user. At this time, the advertisement distribution unit 136 may select advertisement information having an advertisement attribute corresponding to the tripping characteristic analyzed by the analysis unit 134 and distribute it to the user.
Even in this case, the advertisement effect can be enhanced by the advertisement delivery based on the trip.

Further, in the present embodiment, the advertisement information includes an advertisement distribution position for distributing an advertisement and an advertisement facility position indicating a position of a facility to be advertised. Then, the advertisement distribution unit 136 distributes the advertisement information when the position information transmitted from the terminal device 20 matches the position corresponding to the advertisement distribution position or becomes within a predetermined distance range from the advertisement distribution position. .
Then, after information such as position information transmitted from the terminal device 20 is accumulated in the probe DB 121 and the probe editing process is performed by the trip detection unit 132, the analysis unit 134 performs the trip characteristic determination process, The trip information includes the ad delivery position (that is, the ad delivery position is included in the travel route indicated by the trip) in the position information in the trip, and after the ad delivery position has passed, the end point becomes the ad facility position And analyze the trip as a trip based on an advertisement (advertisement-induced trip).

Thus, based on the trip, the responsiveness of the advertisement to the facility can be determined accurately and easily.
That is, in the case of internet shopping etc., when the user clicks an advertisement distributed on the Internet and makes a shopping by Internet payment, the responsiveness to the advertisement and the advertisement effect can be easily determined from the user's action history on the Internet can do.
On the other hand, when advertising facilities, such as a store, the response of whether the user who looked at the advertisement visited the advertising facility could be obtained only by counting using a questionnaire etc. conventionally. On the other hand, in the present embodiment, it is possible to detect a trip for each user and to judge from the trip characteristics whether or not the destination has been changed after viewing the advertisement. For this reason, complicated means such as a conventional questionnaire become unnecessary, and the responsiveness can be easily determined. In addition to this, the effectiveness of the advertisement obtained by a questionnaire or the like depends on the accuracy of the input of each user, which is a problem in terms of reliability, but in the present embodiment, the actual movement of the user is indicated. Since it is determined based on the trip whether or not a visit to the advertisement facility is made, it is the determination of responsiveness based on the actual value, and determination of high accuracy (high reliability) responsiveness can be performed.

Further, in the present embodiment, the counting unit 137 counts the number of advertisement-induced trips to count which advertisement the user is highly responsive when delivering.
In this way, it is possible to narrow down the advertisement for which the advertisement effect is high for each user. Further, with regard to advertisement information for which an advertisement effect has been obtained, reflection on the advertisement unit price may be performed. For example, as described above, with regard to the advertisement of the facility, since the responsiveness can be determined more easily and more reliably (higher accuracy) than in the past, the advertisement unit price can be efficiently made according to the advertisement effect. It can be adjusted. That is, it is possible to count the individual's responsiveness to advertisement distribution (promotional promotion), to narrow down the users who are to work on, and to reflect on the advertising unit price.

[Modification]
In addition, this invention is not limited to embodiment mentioned above, In the range which can achieve the objective of this invention, the deformation | transformation shown below is also included.

[Modification 1]
In the second embodiment, an example in which the server device 10A distributes the advertisement information is shown as an example of a method of utilizing the detected trip or the trip characteristic determined by analyzing the trip.
Here, in the second embodiment, an example in which a user having a trip characteristic according to an advertisement attribute is extracted and the advertisement is delivered, or all users are targeted for advertisement delivery, and is delivered based on the trip characteristic of the user Although an example of selecting an advertisement has been shown, the advertisement may be further delivered to a user who prefers detour according to the trip characteristic of the user.

FIG. 9 is a block diagram showing a schematic configuration of a server device 10B according to the first modification.
Similarly to the second embodiment, the storage unit 12 of the server device 10B of this example includes the probe DB 121, the facility DB 122, the user DB 123, and the distribution advertisement DB 124 (advertisement storage unit) described above.
In addition to the information acquisition unit 131, the trip detection unit 132, the base detection unit 133, the analysis unit 134, the user extraction unit 135, the advertisement distribution unit 136, and the aggregation unit 137, the control unit 13 also functions as a side trip determination unit 138. .

By the analysis of the analysis unit 134, the approach determination unit 138 assigns an approach attribute to the user who has many trips indicating the approach.
Here, it is determined whether or not the determination of the side trip includes, for example, a trip having a plurality of other position information as an end point before returning from the user base (for example, work place) to the user base (home). . Here, in continuous trips, when the user stays in a predetermined time range at the end points of trips other than the first and last trips including the user base, it is determined that the user is on the way back. That is, if it is a stay shorter than the time range, it is regarded as one of the passing points and not considered as a detour. In addition, in the case of staying longer than the time range, it is, for example, accommodation, and it can be regarded as the destination position of the user's action, not the detour, and not regarded as the detour.
When there are a predetermined number or more of the trips staying for the predetermined time range as described above, the detour determination unit 138 determines that the user is a person who frequently detours and gives the declination attribute.

Then, the advertisement distribution unit 136 distributes the distribution advertisement as described in the second embodiment to the person who is determined to be the detour attribute.
For example, in the present embodiment, when the advertisement information to be distributed has been determined, the advertisement distribution unit 136 distributes the advertisement information to the user who is given the near road attribute among the users extracted by the user extraction unit 135.
At this time, the advertisement distribution unit 136 may distribute the advertisement information based on the trip characteristic of the trip when the user who has been given the side off attribute has made a side off. For example, the advertisement information introducing the tavern is distributed to the users who frequently turn to the tavern.

  Generally, a user who likes to go off is likely to go off based on advertisement information. As described in the first embodiment and the second embodiment, in the present invention, it is possible to accurately determine whether or not to prefer a side trip from the actual movement results of the user based on the probe. The advertisement effect can be further enhanced by distributing the advertisement information to the user who likes the detour judged in this way.

[Modification 2]
In the second embodiment, an example of delivering a user by extracting users having trip characteristics according to advertisement attributes, or targeting all users as a target of advertisement delivery, and delivering the advertisement based on the user's trip characteristics An example to select is shown.
On the other hand, trip characteristics may be used, for example, to verify the advertising effectiveness of advertising indicia (eg, billboards, etc.) placed by the side of the road.

FIG. 10 is a block diagram showing a schematic configuration of a server device 10C according to the second modification.
Similar to the second embodiment, the storage unit 12 of the server device 10C of this example includes the probe DB 121, the facility DB 122, the user DB 123, and the advertising display object DB 125 (advertising display object information storage unit) described above.

In the advertisement display object DB 125, advertisement display object information on an advertisement (for example, a signboard etc.) installed at a roadside or the like of a road is recorded. The advertisement display object information records advertisement display position information, advertisement facility position information, and the like.
The advertisement display position information records the position where the advertisement display object such as a signboard is installed.
The advertisement facility position information indicates the position of a facility such as a store to be advertised by the advertisement display item. In the case where a product or service is advertised on the advertisement display, the position of the facility where the product can be purchased, the position of the facility where the service can be received, and the like may be recorded.

  In addition, the control unit 13 functions as an information acquisition unit 131, a trip detection unit 132, a base detection unit 133, an analysis unit 134, and an aggregation unit 137A.

In this server device 10C, the analysis unit 134 includes the position of the advertisement display object (the information indicated in the advertisement display position information) in the position information in the trip, that is, the advertisement display object in the movement route indicated in the trip. It is determined whether or not there is a trip where the end point becomes the advertising facility position after passing through the advertisement display position, when the position where is placed is included. Then, if there is a trip that reaches the advertising facility position at the end point, the trip is analyzed as a trip based on the advertisement display (advertisement-induced trip).
For example, when the destination (navigation destination information) from the starting point to the advertisement distribution position is the point L, and the destination is changed to the advertisement facility position indicated by the advertisement indication after passing the position of the advertisement indication , A trip from the origin to the position of the advertisement display, and a trip from the position of the advertisement display to the position of the advertisement facility are detected. In this case, the analysis unit 134 determines that the trip from the advertisement distribution position to the advertisement facility position is an advertisement-induced trip (advertisement-induced movement segment).

  The counting unit 137A performs substantially the same processing as the counting unit 137 of the second embodiment, and counts the number of advertisement-induced trips, thereby guiding the user who has seen the advertisement display to the advertised facility to what extent It can be determined. Thereby, the advertising effect of the advertising display thing installed by the wayside can be judged based on the trip which is the movement results of an actual user. That is, the effect of the traffic advertisement on the roadside can be verified by the on-vehicle car navigation device or the mobile terminal.

  The advertisement display may be signage or the like, and in this case, it is also possible to change the advertisement displayed on the signage. Then, for example, when the user turns to the facility of the advertisement, utilization such as charging for the advertiser becomes possible.

[Modification 3]
Moreover, although the example used for advertisement delivery to a user, verification of the advertisement effect of an advertisement display thing etc. was shown above as utilization of a trip characteristic, it does not restrict to this.
For example, the server device 10 may include an action estimation unit that estimates the user's action based on the trip characteristic. In this case, the behavior estimation unit estimates the subsequent behavior of the user from the determination results of the trip characteristics of the plurality of users. By estimating such user behavior, it can be used for marketing.

  In addition, the server device 10 may include a trade area analysis unit. The trade area analysis unit analyzes the trade area by aggregating and analyzing the determination results of trip characteristics of a large number of users. Specifically, when determining the location of a commercial facility, and when performing an advertisement triggered by inflow and outflow to the facility, the trip characteristics of a plurality of users determined by the present invention are utilized to Identify the area, time zone, etc. where users gather.

[Modification 4]
In the first embodiment, when the analysis unit 134 analyzes a trip and determines a trip characteristic, an example in which a user attribute recorded in user information or an attribute of a facility recorded in facility information is used is shown. On the other hand, attribute estimation from a probe (drive enthusiast, car enthusiast, infants, etc.) or it can be used by judging who is coming to an existing facility from the attribute corresponding to the probe.

  For example, the server device may be configured to include an attribute estimation unit that estimates a user attribute or a facility attribute from trip characteristics. For example, in the trip characteristic determined by the analysis unit 134, the attribute estimation unit is a user attribute when there are a large number of "movements to drive spots" or when many modes of driving the vehicle are detected from the user's behavior mode. It is possible to estimate attributes such as drive enthusiasts and car enthusiasts. In addition, as a trip characteristic, it is also possible to estimate a family configuration of “child-owned” for a user who often “purchases at a children's goods store”.

  Furthermore, when a trip moving to a certain facility is detected by a large number of users, and the user attribute of “hobby: drive” is commonly recorded in the user information of these users, the attribute estimation unit It is also possible to add information of "hobby: drive" as the facility use attribute of the facility.

  In addition, the specific structure and procedure at the time of implementation of this invention can be suitably changed into another structure etc. in the range which can achieve the objective of this invention.

  DESCRIPTION OF SYMBOLS 1 ... Information processing system, 10, 10A, 10B, 10C ... Server apparatus (information processing apparatus) 12, 12 ... Storage part, 13 ... Control part, 20 ... Terminal device, 24 ... Sensor part, 131 ... Information acquisition part, 131A ... Position information acquisition unit 131B Behavior mode acquisition unit 131C Weather information acquisition unit 131D User information acquisition unit 131E User history acquisition unit 132 Trip detection unit 133 Base detection unit 134 Analysis unit 134A ... normal trip analysis unit, 134B ... continuous trip analysis unit, 134C ... trip characteristic determination unit, 135 ... user extraction unit, 136 ... advertisement distribution unit, 137, 137A ... aggregation unit, 138 ... approach determination unit, 241 ... positioning sensor , 242 ... motion sensor, 243 ... environmental value measurement sensor.

Claims (26)

A movement segment detection unit that detects a movement segment moved by the user from position history in which position information including position of the user and date and time when the user is located at the position is accumulated;
An analysis unit that analyzes an action of the user in the movement segment based on the plurality of pieces of position information included in the movement segment;
An information processing apparatus comprising: In the information processing apparatus according to claim 1,
A site detection unit that detects a user site that is the activity site of the user;
The analysis unit identifies a first movement segment whose start point is the user base, and a second movement segment whose end point is the user base after the first movement segment in time series, and the first movement An information processing apparatus, which associates a division and the second movement division and analyzes the action of the user of the activity division as one activity division. In the information processing apparatus according to claim 2,
An information processing apparatus, wherein movement segments based on a plurality of pieces of position information between the first movement segment and the second movement segment in time series are associated with the activity segments. In the information processing apparatus according to claim 2 or 3,
A position information acquisition unit that acquires the position information from a terminal device operated by the user;
The information processing apparatus, wherein the base detection unit detects the position information as the user base when charging detection information to the effect of detecting filling of the terminal device is acquired together with the position information. In the information processing apparatus according to claim 2 or 3,
A position information acquisition unit that acquires the position information from a terminal device operated by the user;
The location detection unit, together with the position information, wireless LAN connection information to the effect that the radio wave of the wireless LAN master is received at the terminal device and the Internet connection is detected via the wireless LAN master, with the position information. When acquired, the information processing apparatus detects the position information as the user base. In the information processing apparatus according to claim 2 or 3,
The information processing apparatus, wherein the base detection unit detects the starting point as the user base when there are a plurality of the moving segments having the same starting point. In the information processing apparatus according to claim 2 or 3,
The information processing apparatus, wherein the base detection unit detects the end point as the user base when there are a plurality of the moving segments having the same end point. The information processing apparatus according to any one of claims 1 to 7.
The analysis unit extracts facility information corresponding to the position of the end point of the movement segment from the facility information storage unit that stores facility information including the location of the facility and the attribute of the facility, and is based on the extracted facility information An information processing apparatus that analyzes the user's action on the movement segment; In the information processing apparatus according to claim 8,
The attribute of the facility includes the number of facility users for each predetermined period,
An information processing apparatus characterized in that the analysis unit analyzes an action of the user based on the number of facility users with respect to date and time of position information corresponding to an end point of the movement segment. In the information processing apparatus according to claim 8 or 9,
A weather information acquisition unit that acquires weather information indicating the weather at a date and time included in the position information indicating the end point of the movement segment;
The attributes of the facility include the number of facility users per weather,
An information processing apparatus characterized in that the analysis unit analyzes an action of the user based on a date and time of position information corresponding to an end point of the movement segment and the weather. The information processing apparatus according to any one of claims 8 to 10.
The attribute of the facility includes the user attribute of the user who uses the facility,
An information processing apparatus characterized in that the analysis unit analyzes an attribute of the user based on the user attribute. The information processing apparatus according to any one of claims 8 to 11,
An information processing apparatus characterized in that the analysis unit analyzes an action of the user based on an attribute of the facility and a stay time at the facility. The information processing apparatus according to any one of claims 1 to 12.
And a user history acquisition unit configured to acquire user history information including an activity history of the user on the Internet,
The information processing apparatus, wherein the analysis unit analyzes an action of the user with respect to the movement segment based on an action history of the user. The information processing apparatus according to any one of claims 1 to 13.
A user information acquisition unit configured to acquire user information including an attribute of the user;
An information processing apparatus characterized in that the analysis unit analyzes an action of the user with respect to the movement segment based on an attribute of the user. The information processing apparatus according to any one of claims 1 to 14.
An advertisement distribution unit that selects predetermined advertisement information from the advertisement storage unit that records advertisement information associated with the attribute of the advertisement and distributes the information to the user.
An information processing apparatus characterized in that the advertisement distribution unit selects the advertisement information corresponding to the action of the user analyzed by the analysis unit. The information processing apparatus according to any one of claims 1 to 14.
An advertisement distribution unit that distributes predetermined advertisement information to the user from an advertisement storage unit that records advertisement information associated with advertisement attributes;
A user extraction unit for extracting the user to be a distribution target of the advertisement information;
The information processing apparatus, wherein the user extraction unit extracts a user corresponding to an attribute of the advertisement, the user's behavior analyzed by the analysis unit. In the information processing apparatus according to claim 15 or 16,
The analysis unit may include a approaching road determination unit that assigns an approaching road attribute to the user when the behavior of the user indicating that the user has detoured to a predetermined position is analyzed by the analysis unit.
An information processing apparatus, wherein the advertisement distribution unit distributes the advertisement information to the user who is given the side change attribute. The information processing apparatus according to any one of claims 15 to 17.
A position information acquisition unit that acquires the position information from a terminal device operated by the user;
The advertisement information includes an advertisement distribution position for distributing an advertisement, and an advertisement facility position indicating a position of the facility to be advertised,
The advertisement distribution unit distributes the advertisement information when the position information corresponding to the advertisement distribution position is transmitted from the terminal device.
The analysis unit may include, in an advertisement, the movement segment whose end point is the advertisement facility position after the advertisement distribution position is included in the movement route indicated by the movement division and the advertisement distribution position has passed. An information processing apparatus characterized in that it is analyzed as an advertisement-guided movement segment based thereon. In the information processing apparatus according to claim 18,
The advertisement delivery position is a position where a signage is installed on the side of the road,
The information distribution apparatus further causes the signage to display the advertisement information. The information processing apparatus according to any one of claims 15 to 19.
An information processing apparatus, comprising: an aggregation unit that aggregates responses to the advertisement information from a terminal device operated by the user. The information processing apparatus according to any one of claims 1 to 20,
An advertisement display object information storage unit storing advertisement display object information in which a position of an advertisement display object provided on a road is associated with an advertisement facility position which is a position of an advertisement facility advertised by the advertisement display object.
The analysis unit includes the position of the advertisement display object in the movement route indicated by the movement segment, and the movement segment whose end point is the position of the advertisement facility after passing the advertisement display object, An information processing apparatus that analyzes as an advertisement-guided movement segment based on an advertisement. The information processing apparatus according to any one of claims 1 to 21,
An information processing apparatus comprising: an action estimation unit configured to estimate a next action of the user from the action of the user analyzed by the analysis unit. The information processing apparatus according to any one of claims 1 to 22,
An information processing apparatus comprising: a trading area analysis unit that counts inflows and outflows of people to a predetermined area from the actions of the plurality of users analyzed by the analysis unit. The information processing apparatus according to any one of claims 1 to 23.
An information estimation apparatus comprising: an attribute estimation unit configured to estimate an attribute of the user based on an action of the user with respect to the movement segment analyzed by the analysis unit. It is an information processing method which analyzes a user's action to a movement division which a user moved by a computer,
The computer includes a movement segment detection unit and an analysis unit.
A movement segment detection step of detecting the movement segment moved by the user from the position history in which position information including the position of the user and the date and time when the user is at the position are accumulated by the movement segment detection unit;
Analyzing, by the analysis unit, an action of the user in the movement segment based on the plurality of pieces of position information included in the movement segment;
An information processing method characterized in that: An information processing program readable and executable by a computer, which causes the computer to function as the information processing apparatus according to any one of claims 1 to 24.

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