JP7117089B2 - Decision device, decision method and decision program - Google Patents

Description

The present invention relates to a determination device, a determination method, and a determination program.

2. Description of the Related Art In recent years, communication networks have become widespread, and services through networks are being actively provided. As an example of such services, there is known a technology for providing services based on sensor information obtained by a sensing device that detects a user's state. For example, there is known a technique of selecting information to be provided based on location information acquired by a terminal device and providing the selected information.

JP 2004-128598 A

However, it may not be possible to say that the above conventional technology realizes processing according to the state of the user.

For example, in the above conventional technology, information to be provided is simply selected according to the position of the mobile wireless terminal used by the user. For this reason, in the above conventional technology, when a user visits the first station to move from the first station to the second station, information about the first station and the surroundings of the first station is obtained. likely to provide.

The present application has been made in view of the above, and aims to improve the accuracy of processing according to the state of the user.

The determination device according to the present application includes an estimation unit that estimates a state related to movement of the user based on information detected by a predetermined detection device, and based on the state estimated by the estimation unit, for the user: and a determination unit that determines the content of the processing to be provided by the processing.

According to one aspect of the embodiment, it is possible to improve the accuracy of processing according to the state of the user.

FIG. 1 is a diagram illustrating an example of determination processing performed by an information providing device according to an embodiment. FIG. 2 is a diagram illustrating a configuration example of an information providing device according to the embodiment; FIG. 3 is a diagram showing an example of information registered in a user database according to the embodiment. FIG. 4 is a diagram illustrating an example of information registered in a route search log database according to the embodiment; FIG. 5 is a diagram illustrating a specific example of estimation processing executed by the information providing device according to the embodiment. FIG. 6 is a flowchart showing an example of the flow of determination processing executed by the information providing device according to the embodiment. FIG. 7 is a diagram illustrating an example of a hardware configuration;

EMBODIMENT OF THE INVENTION Below, the form (it describes as "embodiment" hereafter.) for implementing the determination apparatus, determination method, and determination program which concern on this application is demonstrated in detail, referring drawings. Note that the determination device, determination method, and determination program according to the present application are not limited to this embodiment. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[Embodiment]
[1-1. An example of an information providing device]
First, with reference to FIG. 1, an example of determination processing executed by an information providing device, which is an example of a determination device, will be described. FIG. 1 is a diagram illustrating an example of determination processing performed by an information providing device according to an embodiment.

In FIG. 1, terminal devices 101 used by users U1 and U2 (hereinafter sometimes collectively referred to as "users U") are connected via a predetermined network N such as the Internet (see FIG. 2, for example). , 102 (hereinafter sometimes collectively referred to as “terminal device 100”), search server 200 and information providing device 10 can communicate with each other. In addition to the search server 200, the information providing apparatus 10 is also capable of mutual communication with various external servers 300 (see FIG. 2, for example).

The terminal device 100 is a smart device such as a smartphone or a tablet, and is a mobile terminal device capable of communicating with an arbitrary server device via a wireless communication network such as 3G (3rd Generation) or LTE (Long Term Evolution). be. The terminal device 100 may be not only a smart device but also an information processing device such as a desktop PC (Personal Computer) or a notebook PC.

In addition, the terminal device 100 has a function of identifying the current position using a positioning system such as GPS (Global Positioning System) and outputting position information indicating the identified position. Further, the terminal device 100 has an acceleration sensor and has a function of outputting acceleration information acquired by the acceleration sensor to the information providing device 10 . In addition to the acceleration and position, the terminal device 100 is assumed to have a function of detecting the terminal device 100 main body or the surroundings of the terminal device 100, such as voice and brightness, and outputting information indicating the detected information. do. In the following description, information detected and output by the terminal device 100 may be referred to as sensing data. That is, the terminal device 100 has a function of outputting sensing data detected by various sensors.

For example, the terminal device 100 communicates with various wearable devices worn by the user U, acquires various biological information such as the user U's pulse, blood pressure, amount of exercise, and brain waves, and senses the acquired various biological information. It may have a function to output as data. In addition, the terminal device 100 executes various kinds of processing that can be executed by general mobile devices, such as searches using the Internet, route searches, purchases in electronic shopping malls, use of Internet auctions, and playback of music content and video content. It shall be possible.

The search server 200 is an information processing device that provides services related to route searches to the user U, and is realized by, for example, a server device, a cloud system, or the like. For example, the search server 200 receives a departure point and an arrival point from the terminal device 100 as a search query for route search. In such a case, the search server 200 searches for a moving route from the departure point to the arrival point, means of transportation (train, bus, taxi, walking, etc.), required time, estimated arrival time, etc., and sends the search result to the terminal device 100. provide to

Here, the search server 200 can search for a route from any point of departure to any point of arrival. For example, the search server 200 adopts landmarks and addresses of hotels and various facilities as well as points of public transportation such as bus stops and stations, and locations selected in map content as departure and arrival points. be able to. Further, the search server 200 may employ, for example, the current position acquired by the terminal device 100 using GPS as the starting point. In the following description, as an example of a route search executed by the search server 200, an example of accepting designation of a station as a departure point and an arrival point will be described.

In addition, the search server 200 can accept designation of departure date and time and arrival date and time. For example, when the search server 200 receives the designation of the departure place and the arrival place together with the departure date and time, the search server 200 can determine the travel route for the case of departing from the designated departure place to the arrival place after the designated departure date and time. or search for estimated arrival time. In addition, when the search server 200 receives the specification of the departure place and the arrival place along with the arrival date and time, the search server 200 sets the movement route and the departure date and time so that the specified arrival place is reached before the specified arrival date and time. Search for.

It should be noted that the search server 200 can realize any route search other than the processes described above. It is also assumed that the search server 200 holds a history of route searches by the user U as a log. For example, the search server 200 holds a log that associates a search query received from the terminal device 100, such as a place of departure, a place of arrival, date and time of departure, or date and time of arrival, with the result of a route search for that search query.

The information providing device 10 is an information processing device that executes a determination process, which will be described later, and is realized by, for example, a server device, a cloud system, or the like. For example, the information providing apparatus 10 acquires a log of search queries held by the search server 200, and uses the acquired log to perform the decision processing according to the invention.

[1-2. Overview of decision processing]
Here, a mode of service in which various types of information are provided to the user U according to the user U's situation is conceivable. For example, it is conceivable that the information to be provided to the user U is selected based on the user U's location information. However, when the information to be provided to the user U is selected based on the position information of the user U, it may not always be possible to provide appropriate information. For example, with such technology, when a user U visits Kyoto Station to travel from Kyoto Station to Tokyo Station, advertisements for shops located around Kyoto Station and tourist information about Kyoto are provided. There is fear.

That is, it is considered desirable to provide different information according to the purpose of the movement even if the user U visits a predetermined station when moving. In other words, it is considered that the persona of the user U during movement changes each time according to the purpose of the movement. Therefore, there is a high possibility that appropriate information cannot be provided to the user U with only the user U's location information.

Therefore, the information providing device 10 executes the following decision processing. First, the information providing device 10 estimates the state of movement of the user U based on information detected by a predetermined detection device. Then, the information providing device 10 determines the content of processing to be provided to the user U based on the estimated state. Here, the state regarding the movement of the user U means the purpose of the movement of the user U, such as whether or not the user U is about to return home or about to go to a business trip destination. Context for movement. Here, the context regarding movement of the user U may be information indicating a station set by the user U as a purpose, and also includes information indicating facilities and places to which the user U intends to go from the station. It is a concept.

[1-3. About an example of decision processing]
First, an example of determination processing executed by the information providing apparatus 10 will be described with reference to FIG. For example, the search server 200 receives designation of a departure point and an arrival point as a search query for route search (step S1). More specifically, the search server 200 receives a search query including a departure station, an arrival station, an arrival date and time, and a user ID (Identifier) for identifying the user U. FIG. Note that the search server 200 may receive a search query log with a specified departure date and time.

In such a case, the search server 200 performs a route search based on the content of the search query and provides the search result to the terminal device 100 (step S2). The search server 200 also holds a route search log in which the departure and arrival places received as search queries are associated with the arrival dates and times provided as search results, that is, the dates and times of arrival at the destination in the search results. .

On the other hand, the information providing device 10 acquires a route search log as action plan information at a predetermined timing (for example, at regular intervals) (step S3). That is, the information providing apparatus 10 acquires, as action plan information, a search query input by the user U for searching for a moving route from a predetermined departure point to a predetermined arrival point. Further, the information providing device 10 acquires the location history, which is the history of location information, from the terminal device 100 (step S4).

Then, the information providing device 10 identifies a pattern regarding the behavior of the user U based on the route search log and position information history of the user U to be processed (step S5). For example, in the example shown in FIG. 1, the information providing apparatus 10 stores the route search log entered by the user U1 indicated by the user ID "U1" as the arrival date and time "2017/12/12/9:00", departure A log in which the location “station A” and the arrival location “station B” are associated, the arrival date and time “2017/12/12/17:00”, the departure location “station B”, and the arrival location “station C” are associated log, arrival date and time “2017/12/12/21:00”, departure point “station D”, and arrival point “station A” are associated with each other. In addition, the information providing apparatus 10 stores, as the location history of the user U1, the location information “location #1” indicating the location of the user U1 at the acquisition date and time “2017/12/12/8:00”, the acquisition date and time “2017/ 12/12/9:00”, and the location information “location #2” indicating the location of the user U1 at the date and time of acquisition “2017/12/12/10:00”. #3”.

The information providing device 10 identifies the normal pattern NP regarding the behavior of the user U by using such route search log and location information history. Various pattern detection techniques can be used to identify such patterns. For example, the information providing device 10 uses the position information to identify a log indicating the travel route actually used by the user U among the travel routes indicated by the route search logs. For example, the information providing device 10 extracts logs consistent with location information of the user U at each date and time from the route search logs. Then, the information providing device 10 groups route search logs extracted with arbitrary granularity, such as the time zone of the departure date and time and the arrival date and time, the day of the week, the station serving as the departure point and the arrival point, and the area where the station is located. Then, the information providing device 10 identifies a pattern of the route search log of the user U based on the number of logs classified into each group.

To give a more specific example, the information providing apparatus 10 sets the arrival date and time between 8:00 a.m. and 9:00 a.m. on weekdays, sets the departure point to "station A", and sets the arrival point to "station A." B" exceeds a predetermined threshold value, such content is defined as the normal pattern NP of user U1's behavior. For example, the information providing apparatus 10 identifies a pattern for a set of days of the week “Monday to Friday”, time period “8:00 to 9:00”, departure point “station A”, and arrival point “station B”. The pattern ID "PID#1" is associated and held.

For example, the information providing apparatus 10 sets the arrival date and time between 21:00 pm and 22:00 pm on weekdays, sets the departure point to "station C", and sets the arrival point to "station A". exceeds a predetermined threshold, such content is defined as the normal pattern NP of user U1's behavior. For example, the information providing apparatus 10 identifies a pattern for a set of days of the week “Monday to Friday”, time period “21:00 to 22:00”, departure point “station C”, and arrival point “station A”. The pattern ID "PID#2" is associated and held.

Furthermore, the information providing device 10 estimates the purpose of the behavior indicated by each pattern. For example, the information providing apparatus 10 identifies the site of the user U from the history of the location information, and determines whether the identified site is the user U's home or office, and whether the user U regularly visits the site. Predict whether it is a facility or not. For example, the information providing device 10 extracts a log of the user U that deviates from the pattern NP as an abnormal pattern. Here, the abnormal pattern is considered to indicate the user U's extraordinary behavior. For example, the abnormal pattern is considered to indicate the behavior of the user U on holidays or the sudden schedule of the user U. When such an extraordinary action is performed, it is estimated that there is a high possibility that the departure point and destination of the route search will indicate a station located near the user U's home.

Therefore, the information providing apparatus 10 estimates the intention of the user U regarding the behavior indicated by the abnormal pattern based on the distribution of the departure points and arrival points of the abnormal patterns, and based on the estimation result, each position indicated by the position history. A relationship with the user U is estimated. For example, the information providing device 10 identifies the location where the user U is based by clustering each location indicated by the user U's location history. In addition, the information providing apparatus 10 identifies the departure point and the arrival point that appear most frequently among the departure point and the arrival point of the abnormal pattern, and finds a position near the identified departure point or the arrival point among the bases. The position of user U's home is assumed.

In addition, the information providing apparatus 10 selects a station near the home of the user U as the first departure point within a predetermined period and the last arrival point within the predetermined period in the abnormal pattern. It may be assumed that there is such a station, and a base located near such a station may be assumed to be user U's home. In addition, when the information providing device 10 estimates the site that is the home of the user U1, the information providing apparatus 10 estimates the site that the user U1 visits on a daily basis as the workplace. For example, the information providing apparatus 10 may identify a station that the user normally goes to from a station near the base serving as his home, and may presume that the base near the identified station is the workplace of the user U.

Then, the information providing device 10 estimates the purpose of the user U in the behavior indicated by each pattern, that is, the movement context. For example, if a certain pattern indicates that a person moves from a station near his/her home to a station near his workplace during the morning on weekdays, the information providing apparatus 10 determines that the purpose of the pattern is "to go to work." Estimate the effect. Further, when a certain pattern indicates that the user moves from a station near his workplace to a station near his home during the night on weekdays, the information providing apparatus 10 determines that the purpose of the pattern is "going home." Estimate the effect.

In addition, the estimation of the purpose of the action described above is performed by SVM (Support Vector Machine) or DNN (Deep Network), which is learned so as to estimate the characteristics of the user U's intention to move from the characteristics of a plurality of route search logs. It may be realized by various models such as Neural Network). In addition, the estimation of the purpose described above may be performed based on arbitrary conditions depending on whether or not the date and time, the day of the week, and the frequency registered in advance by a predetermined operator are satisfied. In addition, the travel intention that is the estimated result is not limited to going to work or returning home.

In this way, the information providing apparatus 10 identifies a pattern related to the behavior of the user U based on the history of information on the user U. FIG. More specifically, the information providing device 10 estimates the movement state of the user U based on the pattern of the user U's daily behavior. For example, the information providing device 10 estimates the movement state of the user U based on patterns other than the daily behavior patterns of the user U (ie, abnormal patterns) among the behavior patterns of the user U. do.

Here, the information providing apparatus 10 identifies the pattern of the departure place, the destination, and the time zone when the user U moves, as the pattern related to the user U's behavior. More specifically, the information providing device 10 identifies a pattern based on the route search history input by the user U. FIG. Then, the information providing device 10 estimates the intention of the user U to move based on the specified pattern.

For example, the information providing device 10 acquires the latest location information from the user U (step S6). Then, the information providing device 10 estimates the current state of movement of the user U, that is, the context, based on the latest position information and the specified pattern (step S7). In other words, the information providing device 10 estimates the movement state of the user U based on the behavior pattern of the user U and the detected information. That is, the information providing device 10 estimates the movement state of the user U when the information is detected based on the information detected by the predetermined detection device.

For example, if the location information obtained at the date and time “2017/12/13/21:15” indicates “location #2”, the information providing apparatus 10 is located near “location #2” from among the patterns. A pattern whose starting point is a station (for example, “Station C”) and whose time zone includes the date and time “2017/12/13/21:15”, that is, the pattern indicated by the pattern ID “PID#2” is specified. Then, the information providing device 10 identifies the movement intention "return home" of the identified pattern.

Further, the information providing device 10 determines the content of the processing to be provided to the user U according to the estimated context regarding movement (step S8). For example, the information providing apparatus 10 determines the content of information to be provided to the user U, the timing of providing the information, etc. as the content of processing. Then, the information providing device 10 provides the determined processing (step S9).

For example, in the example shown in FIG. 1, the information providing device 10 identifies that the user U's intention to move is to "go home." In such a case, the information providing device 10 provides information presumed to be useful when the user U returns home. For example, based on the current position of the user U, the information providing device 10 provides the result of searching for a route from a nearby station to his home, and acquires delay information and the like from the external server 300 . Then, the information providing device 10 provides the user U with route search results, delay information, and the like.

That is, the information providing apparatus 10 not only obtains the position of the user U but also the state of movement of the user U based on the position information indicating the position detected by the terminal device 100 used by the user U as sensing data. presume. Then, the information providing device 10 provides the user U with information according to the estimated state. Therefore, the information providing apparatus 10 can improve the accuracy of processing according to the user's condition.

[1-4. Contents of processing based on estimation]
In the example described above, the information providing apparatus 10 estimates the intention of the user U to move based on the current location information of the user U, and outputs route search results and delay information as information corresponding to the estimated intention. etc. was provided. However, embodiments are not so limited. For example, the information providing apparatus 10 may provide the user U with a shopping list or the like registered by the user U when the intention of the user U's movement is "to go home".

For example, the information providing device 10 estimates the movement direction of the user U based on the transition of the user U's location information. Also, the information providing device 10 estimates the station to which the user U is going to go from the estimated moving direction. That is, the information providing apparatus 10 estimates whether or not the user U has started to move to the destination as the state regarding the movement of the user U. Then, the information providing apparatus 10 may specify a pattern in which the station estimated at the time of processing is the starting point, and estimate the intention of the user U to move in the specified pattern.

In addition, when the estimated intention of movement is "to go to work", the information providing apparatus 10 may provide the result of a route search to a station near the workplace. You may provide the remaining time to In addition, the information providing device 10 estimates the degree of congestion at the station from the position information of each user U, and if the estimated degree of congestion exceeds a predetermined threshold, it is crowded and suggests that the user should move to the next train. may be provided. In addition, the information providing device 10 may provide route search results of a detour route when there is a delay or an accident on the route to the workplace, and the route search result of a detour route may be provided. information indicating a detour route from the station may be provided. In addition, the information providing apparatus 10 may notify other users preset by the user U (for example, a colleague at work, a secretary, etc.) of the user U's scheduled arrival time. That is, the information providing apparatus 10 may provide various processes not only to the user U but also to users other than the user U according to the estimation result of the intention of the user U to move.

Further, the information providing apparatus 10 may determine the timing of providing the process and the content of the information to be provided to the user U according to the estimated intention of movement. For example, when the estimated intention is "to go to work", the information providing apparatus 10 may provide the result of the route search on the spot, thereby realizing prompt information provision. Further, when the estimated intention is "going home", the information providing apparatus 10 does not have to provide the result of the route search on the spot. Along with the results, advertisements of various stores on the movement route may be distributed.

Further, the information providing device 10 may determine the timing of providing the predetermined information to the user in consideration of not only the estimated intention of movement but also the state of ability regarding movement of each user U. For example, the information providing apparatus 10 estimates the average walking speed of the user U from the history of positional information, the history of acceleration detected by the acceleration sensor, and the like. Then, when the moving speed is slower than the predetermined threshold and the moving intention is "to go to work", the information providing apparatus 10 may provide information at an earlier timing.

Further, when the terminal device 100 of the user U has a function of a contactless IC (Integrated Circuit) card system, the information providing device 10 acquires information on the ticket held in the terminal device 100, The timing of providing information and the content of information may be determined in consideration of the information. For example, when the regular period has expired or the balance of electronic money is below a predetermined threshold, the information providing apparatus 10 may determine that the regular period expires before the user U arrives at the station. You may provide information that the balance is low or that the balance is low.

Further, the information providing apparatus 10 may determine the content of processing to be provided to the user U based on the estimated state and the situation on the movement route along which the user U moves. For example, the information providing device 10 identifies a pattern from the position of the user U, identifies a movement route in the identified pattern, and identifies delays, congestion, and the like occurring on the identified movement route. Then, the information providing apparatus 10 may provide the result of the route search, the detour route, or the like at an earlier timing when there is a delay or when congestion is occurring.

In addition, the information providing device 10 may estimate the final destination of the user U and the stay point where the user stays before reaching the destination as the state regarding the movement of the user U. FIG. For example, the information providing device 10 identifies a pattern from the position of the user U, further identifies the movement pattern of the user U after movement indicated by the pattern, and identifies the movement intention of each identified pattern. good too.

For example, it is assumed that the information providing device 10 identifies a first movement pattern from station B to station D between 17:00 and 18:00 based on the user U's location information. In such a case, the information providing device 10 identifies a pattern starting from station D after 18:00 as the second movement pattern. Then, when the movement intention of the identified first movement pattern is "eating" and the movement intention of the second movement pattern is "going home", the information providing apparatus 10 determines that the user U is eating. Specify that you will be returning home from Then, the information providing device 10 executes various processes according to the identified movement intention. For example, when the information providing device 10 estimates that the user U will return home after eating, the information providing device 10 estimates the time when the user U will return home. Then, the information providing apparatus 10 controls an air conditioner and a lighting apparatus according to the estimated time of coming home through, for example, a HEMS (Home Energy Management System) control system installed in the home of the user U1. good too.

In addition, the information providing device 10 may change the state of the terminal device 100 used by the user U according to the intention of the user U regarding movement. For example, the information providing device 10 may change the word to be preferentially displayed in a predictive dictionary or the like. To give a more specific example, when the user U's intention to move is to "go to work," the information providing apparatus 10 preferentially selects words related to work, words indicating areas near the workplace, and the like. When the intention of the user U to move is "go home", words related to the user U's tastes and preferences, words indicating the area near the home, etc. may be preferentially displayed.

That is, the information providing apparatus 10 estimates the intention of the user U regarding movement as the persona of the user U at the time of processing, and provides information according to the estimated intention. Therefore, the information providing device 10 can provide appropriate information according to the user U's condition.

[1-5. Intention to infer]
In addition, the information providing apparatus 10 may estimate at least one of the user U's destination, the user U's movement route, or the user U's movement mode as a state related to the movement of the user U. . For example, the information providing apparatus 10 can determine whether the user U is moving to his home or office, which route the user U will take, whether the user U is traveling by train, bus, taxi, or bicycle. It may be estimated which of these means is used to move. Such a movement-related state may be estimated, for example, based on the average moving speed of the user U estimated from the position information. In addition, such a state related to movement may be estimated based on the estimation result by estimating whether or not the user U was at a station or bus stop based on position information. In addition, such a state related to movement may be estimated according to the usage history of electronic money and credit cards, the contents of commuter passes and tickets owned by the user U, and the like.

Further, the information providing apparatus 10 determines whether or not the user U has arrived at the destination based on the position information of the user U, and depending on the determination result, the content of the information to be provided to the user U, You may specify a provision timing. For example, when it is estimated that the user U is moving from Kyoto to Tokyo, the information providing device 10 determines whether or not the user U has arrived in Tokyo based on the location information of the user U. If it is determined that the person U has arrived in Tokyo, information on the destination, Tokyo, may be provided.

In addition, the information providing device 10 may estimate a state regarding movement of the user U, which is a state regarding movement of the user U in the future. For example, the information providing device 10 identifies the station to which the user U is heading based on the transition of the position information acquired from the user U. Then, the information providing device 10 may specify the pattern that the user U is currently adopting with the highest probability among the movement patterns of the user U based on the specified station.

[1-6. About user information]
Here, the information providing apparatus 10 may identify the position of the user U using, for example, a beacon using Bluetooth (registered trademark) or a wireless LAN, and implement estimation processing according to the identification result. . In addition to the information described above, the information providing apparatus 10 adopts arbitrary information as user information, and uses the adopted user information to estimate the intention of movement and calculate the actually used movement route. may be specified.

For example, the information providing apparatus 10 acquires the usage history of the function of the contactless IC card system and the function of electronic money as information of the user U. FIG. In addition, the information providing apparatus 10 may acquire various attributes such as user U's demographic attributes and psychographic attributes (including hobbies and interests), etc., and may acquire user U's biometric information history. . Further, the information providing apparatus 10 may acquire contents such as character strings and photographs posted by the user U to the SNS. Further, the information providing apparatus 10 may acquire information registered by the user U as the attributes of the user U, or may acquire attributes predicted from the above-described various histories. Further, the information providing apparatus 10 may identify the position of the terminal device 100 according to the IP (Internet Protocol) address set to the terminal device 100 or the access point accessed by the terminal device 100 . Further, the information providing device 10 may acquire various sensing data.

Then, the information providing device 10 may estimate the intention of movement based on the information of the various users U described above. For example, the information providing apparatus 10 may estimate that the user U intends to move to "go to work" or "go home" when the user U uses a fixed period. Further, the information providing apparatus 10 may estimate the intention of the user U in the movement indicated by the log of the route search based on biometric information, posts on SNS, and the like.

Note that the information providing apparatus 10 may use all of the information of the user U described above, or may use only a part of the information. Further, the information providing device 10 may combine the information described above in any manner to estimate the intention of the user U. FIG. Further, the information providing apparatus 10 may select the log of the movement route actually taken by the user U from among the route search logs, using the various types of information and position information described above.

[1-7. About action plan information]
In the example described above, the information providing apparatus 10 uses a search query for route search as the action plan information. However, embodiments are not so limited. In other words, the information providing apparatus 10 can adopt any information as the activity schedule information as long as it suggests the location of the user at a certain date and time in the future.

For example, the information providing device 10 identifies a place to be visited by the user U and the date and time to visit the place from the content of the e-mail including various reservation details such as a hotel reservation and a train reservation made by the user U. . In such a case, the information providing apparatus 10 may estimate the intention of the user U to move on the assumption that the user U will visit the location specified from the e-mail at the specified date and time.

Further, the information providing apparatus 10 predicts the future behavior of the user U based on posted information posted on the Internet by the user U such as SNS (Social Networking Service), and provides behavior schedule information indicating the predicted behavior. The intention of movement may be estimated based on . For example, the information providing apparatus 10 identifies a place to be visited by the user U and the date and time to visit the place from the posted information, and indicates the intention of movement assuming that the user U will visit the specified place at the specified date and time. can be estimated. Further, when the terminal device 100 has a function of a non-contact IC (Integrated Circuit) card system, the information providing device 10 acquires ticket information held in the terminal device 100, and uses the acquired ticket information to may infer the intention of Further, the information providing apparatus 10 may employ the history of dates and stations indicated by the usage history of the non-contact IC as the position history. Further, the information providing apparatus 10 may adopt information input by the user U as the action plan information, and may use information input by another user that indicates the future action of the user U. You may employ|adopt as action plan information.

[1-8. Consideration of length of stay]
Note that the information providing apparatus 10 may specify the length of stay at each base from the position information, and further consider the specified length of stay to estimate the intention of the user U regarding movement. For example, the information providing apparatus 10 selects only bases where the length of stay exceeds a predetermined threshold as candidates for the user U's home or workplace, and responds to a pattern of moving to such bases, such as "going to work" or "going home". You may presume an intention like this.

[2. Configuration of Information Providing Device]
An example of the functional configuration of the information providing apparatus 10 that implements the learning process described above will be described below. FIG. 2 is a diagram illustrating a configuration example of an information providing device according to the embodiment; As shown in FIG. 2, the information providing device 10 has a communication section 20, a storage section 30, and a control section 40. FIG.

The communication unit 20 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 20 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the terminal device 100 , the search server 200 and the external server 300 .

The storage unit 30 is implemented by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 30 also stores a user database 31 and a route search log database 32 .

An example of information registered in the user database 31 and the route search log database 32 will be described below with reference to FIGS. 3 and 4. FIG. First, an example of information registered in the user database 31 will be described with reference to FIG. FIG. 3 is a diagram showing an example of information registered in a user database according to the embodiment. As shown in FIG. 3, the user database 31 stores "user ID", "attribute information", "location history", "home information", "workplace information", "visited place information", and "pattern information". , and “sensing data” are registered.

Here, the "user ID" is an identifier for identifying the user U. Also, "attribute information" is information indicating various attributes such as the user's U name, gender, age, hobbies and interests, place of residence, and the like. "Location history" is a history of location information acquired by the terminal device 100 used by the user U. FIG. "Home information" is information indicating a position estimated to be user U's home, among the positions indicated by the associated position information. "Workplace information" is information indicating a position estimated to be user U's workplace among the positions indicated by the associated position information. The “visited place information” is information indicating a position estimated to be a visited place visited by the user U at a predetermined frequency, among the positions indicated by the associated position information. Also, "pattern information" is information indicating a pattern regarding movement of the user. "Sensing data" is various sensing data acquired by the terminal device 100 used by the user U, for example.

For example, in the example shown in FIG. 3, the user database 31 stores user ID "U1", attribute information "attribute information #U1", location history "location information #U1", home information "location #1", workplace Information "position #2", visited place information "position #3", pattern information "pattern #1", and sensing data "sensing data #1" are registered in association with each other. Such information indicates that the attribute of user U1 indicated by user ID "U1" is "attribute information #U1" and the history of location information of user U1 is "location information #U1". In addition, such information includes that the location estimated as user U1's home is "location #1", the location estimated as the workplace is "location #2", and the location estimated as the visited place is It indicates that it is "Position #3". Further, such information indicates that "pattern #1" is registered as the movement pattern of user U1, and that the sensing data acquired by the terminal device 101 used by user U1 is "sensing data #1". indicates

In addition to the information shown in FIG. 3, the user database 31 may register arbitrary information about the user U (for example, history of posted information, etc.). For example, in the user database 31, a history of search queries for searches using the Internet and a history of search queries for route searches may be registered. In addition, the user database 31 may register a history of purchases made by the user U through an electronic shopping mall or an auction.

In the example shown in FIG. 3, conceptual values such as "attribute information #U1" are described. Numerical values indicating longitude, etc., and numerical values of sensing data, etc. are registered. In addition, in the example shown in FIG. 3, the pattern information is shown as a conceptual value such as "pattern #1", but in reality, as shown in FIG. Information indicating the movement pattern of U and information indicating the intention of the user U in the movement indicated by the pattern are registered.

Next, an example of information registered in the route search log database 32 will be described using FIG. FIG. 4 is a diagram illustrating an example of information registered in a route search log database according to the embodiment; As shown in FIG. 4, the route search log database 32 stores "log ID", "departure date and time", "departure point", "arrival date and time", "arrival point", "user ID", and "search date and time". , and “employment flag” are registered. In addition to the information shown in FIG. 4, various information related to route searches may be registered in the route search log database 32. FIG.

Here, the "log ID" is an identifier for identifying a route search log. The "departure date and time" is the date and time determined as the departure date and time in the route search result. Also, the "departure point" is the departure point specified by the user U in the route search. The "arrival date and time" is the date and time determined as the arrival date and time in the route search result. Also, the "arrival point" is the arrival point specified by the user U in the route search. "User ID" is the identifier of the user U who performed the route search. The "search date and time" is information indicating the date and time when the route search was performed. Further, the “adoption flag” is information indicating whether or not the user U has actually made the movement indicated by the route search log.

For example, in the example shown in FIG. 4, the route search log database 32 contains log ID "Q1", departure date and time "2017/9/12/8:00", departure point "station E", arrival date and time "2017/9 /12/9:00", arrival point "station D", user ID "U1", search date and time "2017/8/31/10:00", and adoption flag "1" are registered. Such information is a route from the departure point "station E" to the arrival point "station D" for the user U1 indicated by the user ID "U1" at the search date and time "2017/8/31/10:00". A search is performed, and the departure date and time in the search results of the route search is "2017/9/12/8:00" and the arrival date and time is "2017/9/12/9:00", and the route search results is adopted by the user U, and the user U has actually moved along the result of the route search.

Returning to FIG. 2, the description is continued. The control unit 40 is a controller, and various programs stored in a storage device inside the information providing apparatus 10 are transferred to a RAM or the like by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). is executed as a work area. Also, the control unit 40 is a controller, and may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 2 , the control unit 40 has an acquisition unit 41 , an estimation unit 42 , a determination unit 43 and a provision unit 44 . The acquisition unit 41 acquires action plan information indicating future actions of the user. For example, the acquisition unit 41 acquires, from the search server 200, a route search log including a route search search query input by the user U as the action schedule information. That is, the acquisition unit 41 acquires a search query for searching for a moving route from a predetermined departure point to a predetermined arrival point at a predetermined date and time as action schedule information. Then, the acquisition unit 41 registers the acquired route search log in the route search log database 32 .

Further, the acquisition unit 41 acquires position information from the terminal device 100 used by the user U at predetermined time intervals. Then, the acquiring unit 41 registers the acquired position information as a position history in the user database 31 in association with the user ID of the user U. FIG. The acquisition unit 41 also acquires various sensing data and registers the acquired sensing data in the user database 31 .

The estimating unit 42 estimates the state of movement of the user U based on the information detected by the predetermined detecting device. More specifically, the estimating unit 42 estimates the movement state of the user U based on the position information indicating the position detected by the terminal device 100 used by the user U. That is, the estimating unit 42 estimates the purpose of the movement of the user U as the state related to the movement of the user U. The estimation unit 42 also estimates a state related to movement of the user U, which is related to movement that the user U will make in the future. Based on the information detected by the predetermined detection device, the estimation unit 42 estimates in real time the state of movement of the user U when the information is detected.

Processing executed by the estimation unit 42 will be described below. For example, the estimation unit 42 refers to the user database 31 and identifies the user U to be processed. Then, the estimating unit 42 extracts the position history of the specified user U from the user database 31 and also extracts the route search log input by the specified user U from the route search log database 32 .

Subsequently, the estimating unit 42 compares the location history of the user U with the route search log input by the user U, and estimates the route search log adopted by the user U. More specifically, the estimating unit 42 extracts, from the log of the route search, a log in which it is estimated that the user U actually moved along the movement route indicated by the log. Then, the estimating unit 42 identifies the movement pattern of the extracted log as the normal pattern NP.

Then, the estimation unit 42 estimates the intention of movement indicated by each specified normal pattern NP. For example, the estimating unit 42 determines whether or not the home or workplace is located in the vicinity of the departure point or the arrival point indicated by each normal pattern NP, the time period during which the user U uses the movement route indicated by each normal pattern NP, Depending on the day of the week or the like, the intention of movement, such as whether the movement indicated by each normal pattern NP is to go to work or return home, is estimated. Then, the estimation unit 42 registers the normal pattern NP with the estimated intention in the user database 31 as pattern information.

Also, the estimation unit 42 estimates the movement state of the user U based on the behavior pattern of the user U and the information detected by the predetermined detection device. That is, the estimating unit 42 estimates the movement state of the user U based on the behavior pattern of the user U, which is based on the history of information about the user U. FIG. For example, the estimating unit 42 estimates the movement state of the user U based on the pattern of the user U's daily behavior. In addition, for example, the estimation unit 42 estimates the state of movement of the user U based on a pattern indicating the departure place, destination, and time zone when the user U moves. In addition, the estimation unit 42 estimates the state of movement of the user U based on a pattern based on the route search history input by the user U. FIG.

For example, the estimating unit 42 acquires movement information from the terminal device 100 used by the user U, and based on the acquired movement information, determines which normal pattern NP the user U follows from among the normal patterns NP of the user U. Estimate whether it is moving. Then, the estimation unit 42 identifies the movement intention associated with the estimated normal pattern NP. As a result of such processing, for example, when it is estimated that the user U is moving from home to work in the morning, the estimation unit 42 indicates that the user U is going to work. can be estimated.

Note that the estimating unit 42 may estimate at least one of the user U's destination, the user U's moving route, or the user U's moving mode as the state related to the movement of the user U. good. In such a case, the information providing apparatus 10 provides information to the user U based on at least one of the user U's destination, the user U's travel route, or the user U's travel mode. This will determine the content and timing of the services to be provided.

In addition, the estimation unit 42 may estimate the final destination of the user U and the stay point where the user stays before reaching the destination as the state related to the movement of the user U. For example, the estimation unit 42 may estimate that the user U will head to a familiar restaurant and then return home at the timing when the user U heads for a nearby station from the workplace.

The estimation unit 42 also estimates whether or not the user U has started to move to the destination or whether or not the user U has arrived at the destination as a state related to the movement of the user U. good. For example, the estimation unit 42 may estimate whether or not the user U has started to move based on the position information of the user U, and estimate whether or not the user U has arrived at the destination. may

The determination unit 43 determines the content of the processing to be provided to the user U based on the estimated state. For example, the determination unit 43 determines the timing of providing processing, the content of information to be provided, and the like. Note that the determination unit 43 may determine the timing of providing the process to the user U based on the estimated state and the state of the ability of the user U to move. Further, the determination unit 43 may determine the content of the processing to be provided to the user U based on the estimated state and the situation on the movement route along which the user U moves.

For example, the determining unit 43 acquires the user U's intention to move estimated by the estimating unit 42 . In such a case, the determination unit 43 determines the information provision timing based on the acquired intention. For example, if the intention is to "go to work", the determination unit 43 determines to provide the information immediately. Further, the determination unit 43 estimates the destination of movement of the user U, and searches for a route from the current position of the user U to the destination of the user U. Further, the determination unit 43 acquires from the external server 300 information such as congestion and delay on the movement route indicated by the route search result. Then, when there is congestion, delay, etc., the determination unit 43, along with the result of the route search, includes the content of a message such as "Because congestion and delay are occurring, it is recommended to move early." to decide.

The providing unit 44 provides the user U with the information determined by the determining unit 43 at the timing determined by the determining unit 43 . For example, when the determining unit 43 determines that the providing unit 44 distributes a message such as "It is recommended to move early because congestion and delays are occurring" along with the result of the route search. , to deliver such route search results and messages.

A specific example of the estimation process executed by the information providing device 10 will now be described with reference to FIG. FIG. 5 is a diagram illustrating a specific example of estimation processing executed by the information providing device according to the embodiment. For example, in the example shown in FIG. 5, user A is about to move from home to work. In such a case, the information providing apparatus 10 compares the location information of the user A with the movement pattern of the user A, thereby estimating that the intention of the movement of the user A is "going to work". That is, the information providing apparatus 10 estimates that the persona of the user A's movement is "going to work". In such a case, the information providing device 10 provides, for example, information about a workplace as a destination and various information about a moving route according to the estimated user A's intention of "going to work".

On the other hand, in the example shown in FIG. 5, user B is about to move from his office to a restaurant instead of his home. In such a case, the information providing apparatus 10 compares the location information of the user B with the movement pattern of the user B, thereby determining whether the intention of the movement of the user B is "eating" instead of "going home". Assume there is. For example, the information providing apparatus 10 determines the movement of User B based on the time zone pattern when User B goes home directly from work, the time zone pattern when User B heads to a restaurant, and the like. is presumed to be a "meal". In such a case, the information providing apparatus 10 calculates, for example, the expected return time of the user B after eating, and performs home appliance control according to the calculated time. For example, if it takes 3 hours for User B to return home after stopping at a restaurant, the information providing apparatus 10 turns on the lighting equipment in User B's home after 3 hours, or 3 hours later. A process such as controlling the air conditioner is executed when the user returns home after an hour.

[3. Processing Flow of Information Providing Device]
Next, an example of the procedure of determination processing executed by the information providing apparatus 10 will be described with reference to FIG. FIG. 6 is a flowchart showing an example of the flow of determination processing executed by the information providing device according to the embodiment. For example, the information providing device 10 acquires a route search log and position history of the user U (step S101). In such a case, the information providing apparatus 10 estimates the movement pattern of the user U based on the acquired information as a pre-stage process (step S102).

Then, the information providing device 10 uses the latest position information to estimate the state of the behavior of the user (step S103). For example, the information providing device 10 estimates which pattern the user U moves in from the latest position information, and estimates the intention of the user U to move according to the estimated pattern. Then, the information providing apparatus 10 determines the processing content corresponding to the estimated state (step S104), provides the service of the determined processing content to the user (step S105), and ends the processing.

[4. Modification]
An example of the determination process by the information providing apparatus 10 has been described above. However, embodiments are not so limited. Variations of the determination process executed by the information providing apparatus 10 will be described below.

[4-1. About the scope of application]
In the example described above, the information providing device 10 estimated the intention of the user U when moving from one position to another. Here, the information providing device 10 may estimate the intention when moving from an arbitrary position to an arbitrary position. For example, if the movement of the user U within the building can be identified using a technology such as a beacon, the information providing apparatus 10 identifies the movement pattern of the user U within the building from the movement history. In addition, the information providing apparatus 10 acquires the layout in the building (for example, the position of each department, the position of the restaurant, etc.), and according to the acquired layout, the specified pattern, the time period during which the user U moves, etc., Infer the intention of movement within the building. Then, the information providing apparatus 10 estimates the intention of the user U to move within the building from the position information of the user U acquired at the time of processing, and performs processing according to the estimation result (for example, restaurant congestion, visit notification to the department, etc.) may be provided.

[4-2. Device configuration〕
The information providing device 10 may be communicatively connected to any number of terminal devices 100 , and may be communicatively connected to any number of search servers 200 and external servers 300 . Further, the information providing apparatus 10 may be capable of communicating with an e-mail distribution server or the like. Further, the information providing device 10 may be capable of communicating with a distribution server that distributes various contents according to the user U's attributes.

Also, the information providing apparatus 10 may be implemented by a front-end server and a back-end server that executes various processes. In such a case, the provision unit 44 shown in FIG. 2 is arranged in the front-end server, and the acquisition unit 41, the estimation unit 42, and the determination unit 43 shown in FIG. 2 are included in the back-end server. Information registered in the storage unit 30 may be managed by an external storage server.

[4-3. others〕
Further, among the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Moreover, each of the embodiments described above can be appropriately combined within a range that does not contradict the processing contents.

[4-4. program〕
Also, the information providing apparatus 10 according to the above-described embodiment is implemented by a computer 1000 configured as shown in FIG. 7, for example. FIG. 7 is a diagram illustrating an example of a hardware configuration; A computer 1000 is connected to an output device 1010 and an input device 1020, and an arithmetic device 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected via a bus 1090. have

The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The primary storage device 1040 is a memory device such as a RAM that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used for various calculations by the arithmetic device 1030 and various databases are registered. It is realized by

The output IF 1060 is an interface for transmitting information to be output to the output device 1010 that outputs various types of information such as a monitor and a printer. It is realized by a connector conforming to a standard such as HDMI (registered trademark) (High Definition Multimedia Interface). Also, the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, scanner, etc., and is realized by, for example, USB.

Note that the input device 1020 includes, for example, optical recording media such as CDs (Compact Discs), DVDs (Digital Versatile Discs), PDs (Phase change rewritable discs), magneto-optical recording media such as MOs (Magneto-Optical discs), and tapes. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like. Also, the input device 1020 may be an external storage medium such as a USB memory.

Network IF 1080 receives data from other devices via network N and sends the data to arithmetic device 1030, and also transmits data generated by arithmetic device 1030 via network N to other devices.

The arithmetic device 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070 . For example, arithmetic device 1030 loads a program from input device 1020 or secondary storage device 1050 onto primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the information providing device 10, the arithmetic device 1030 of the computer 1000 executes a program or data (for example, the processing model M1) loaded on the primary storage device 1040, so that the control unit 40 to realize the function of Arithmetic device 1030 of computer 1000 reads and executes these programs or data (eg, processing model M1) from primary storage device 1040, but as another example, these programs can be read from other devices via network N. may be obtained.

[5. effect〕
As described above, the information providing device 10 estimates the movement state of the user U based on the information detected by the predetermined detection device. Then, the information providing device 10 determines the content of processing to be provided to the user U based on the estimated state. In this way, the information providing apparatus 10 estimates the state regarding the movement of the user U, that is, the context regarding the movement of the user U, and determines the content of the processing to be provided to the user U based on the estimation result. do. Therefore, the information providing device 10 can improve the accuracy of processing according to the state of the user U. FIG.

Further, the information providing device 10 estimates the movement state of the user U based on the position information indicating the position detected by the terminal device 100 used by the user U as the information detected by the predetermined detection device. . Therefore, the information providing apparatus 10 appropriately identifies whether or not the user U has started to move, and when the user U has started to move, estimates the intention of the movement, and responds to the estimation result. Since the processing is provided, the accuracy of the processing according to the state of the user U can be improved.

Further, the information providing device 10 estimates the movement state of the user U based on the behavior pattern of the user U and the information detected by the predetermined detection device. For example, the information providing apparatus 10 estimates the movement state of the user U based on the pattern of the behavior of the user U, which is based on the history of the information on the user U. In addition, the information providing device 10 estimates the movement state of the user U based on the pattern of the user U's daily behavior. In addition, the information providing apparatus 10, for example, as a pattern related to the behavior of the user U, based on the pattern of the departure place, the destination, and the time zone when the user U moves, determines the state related to the movement of the user U. presume. To give a more specific example, the information providing device 10 estimates the state of movement of the user U based on a pattern based on the route search history input by the user U. FIG. Therefore, the information providing apparatus 10 can estimate the intention of the user U regarding movement at the time of processing based on the behavior pattern of the user U, thereby improving the accuracy of the processing according to the state of the user U. can be made

In addition, the information providing device 10 estimates at least one of the user U's destination, the user U's movement route, or the user U's movement mode as a state related to the user U's movement. In addition, the information providing device 10 estimates the purpose of the user U's movement as a state related to the user's U movement. In addition, the information providing device 10 estimates, as states related to movement of the user U, the final destination of the user U and a stay point to stay before reaching the destination. Therefore, the information providing apparatus 10 can estimate the intention of the user U regarding movement at the time of processing.

Further, the information providing device 10 estimates whether or not the user U has started to move to the destination or whether or not the user U has arrived at the destination as a state regarding the movement of the user U. Therefore, the information providing device 10 can provide information at appropriate timing.

Further, the information providing apparatus 10 determines the timing of providing the process as the content of the process to be provided to the user U. FIG. Further, the information providing apparatus 10 determines the timing of providing the user U with the process based on the estimated state and the state of the ability of the user U to move. Further, the information providing apparatus 10 determines the content of information to be provided to the user U as the content of processing to be provided to the user U. FIG. Further, the information providing device 10 determines the content of the processing to be provided to the user U based on the estimated state and the situation on the movement route along which the user U moves. Therefore, the information providing apparatus 10 can implement appropriate processing according to the state of the user U. FIG.

In addition, the information providing device 10 estimates a state related to movement of the user U and a state related to movement that the user U will make in the future. Further, based on the information detected by the predetermined detecting device, the information providing device 10 estimates the state of movement of the user U when the information is detected. Therefore, the information providing apparatus 10 can provide processing at an appropriate timing according to the state of the user U, so that processing accuracy can be improved.

As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to carry out the invention in other forms with modifications.

Also, the "section, module, unit" described above can be read as "means" or "circuit". For example, the estimating unit can be read as estimating means or an estimating circuit.

10 information providing device 20 communication unit 30 storage unit 31 user database 32 route search log database 40 control unit 41 acquisition unit 42 estimation unit 43 determination unit 44 provision unit 100 terminal device 200 search server 300 external server

Claims (16)

A history of location information detected by a detection device that detects the location of a terminal device used by a user, and a departure point and a destination in the movement pattern of the user based on the route search history entered by the user. A first estimation process for estimating in advance the purpose of the user's movement from the departure point to the destination in the pattern based on the relationship between and the pattern indicated by the latest position information based on the latest position information an estimation unit that executes a second estimation process for estimating the purpose of movement estimated in advance as the purpose of movement of the user;
and a determination unit that determines content of information to be provided to the user according to a result of second estimation processing by the estimation unit. The estimation unit estimates the destination, the movement route, or the movement mode based on the position information indicating the position detected by the terminal device used by the user as the information detected by the detection device, and estimates an estimation result. The decision device of claim 1, wherein the purpose of the movement is estimated based on: The estimating unit further estimates the destination, the travel route, or the mode of travel based on the behavior pattern of the user, and estimates the purpose of the travel based on the estimation result. Item 3. The determination device according to item 1 or 2. The estimation unit further estimates the destination, the movement route, or the movement mode based on a pattern related to the behavior of the user, which is based on a history of information related to the user, and uses the estimation result as 4. The apparatus of claim 3, wherein the purpose of the movement is estimated based on. The determination device according to claim 3 or 4, wherein the estimation unit further estimates the destination, the travel route, or the travel mode based on a pattern of the user's daily behavior. . The estimating unit further determines the destination, the travel route, or the travel mode based on patterns of the departure place, the destination, and the time zone when the user travels, as the behavior pattern of the user. The decision device according to any one of claims 3 to 5, characterized in that it estimates 7. The estimating unit according to any one of claims 1 to 6, wherein the estimating unit estimates a final destination of the user and a stay point where the user stays before reaching the destination. decision device. The method according to any one of claims 1 to 7, wherein the estimation unit further estimates whether or not the user has started to move to the destination, or whether or not the user has arrived at the destination. A decision device according to any one of the preceding claims. The determination device according to any one of claims 1 to 8, wherein the determination unit determines the timing of providing the information to the user. 10. The method according to claim 9, wherein the determining unit determines the timing of providing the information to the user based on the result of estimation by the estimating unit and the state of the user's ability to move. decision device. The determination device according to any one of claims 1 to 10, wherein the determination unit determines content of information to be provided to the user. The determination unit determines the content of information to be provided to the user based on the result of estimation by the estimation unit and the situation on the movement route along which the user moves. 12. A decision device according to any one of 1 to 11. The estimating unit estimates the user's destination, the user's moving route, or the user's moving mode, which is a state related to the user's movement and is linked to the future movement of the user. , the purpose of the movement is estimated based on the estimation result. The estimating unit estimates the state of movement of the user when the information is detected based on the information detected by a predetermined detection device, and estimates the purpose of the movement based on the estimation result. A decision device according to any one of claims 1 to 13, characterized in that: A decision method executed by a decision device,
A history of location information detected by a detection device that detects the location of a terminal device used by a user, and a departure point and a destination in the movement pattern of the user based on the route search history entered by the user. A first estimation process for estimating in advance the purpose of the user's movement from the departure point to the destination in the pattern based on the relationship between and the pattern indicated by the latest position information based on the latest position information an estimation step of performing a second estimation process of estimating the purpose of movement estimated in advance as the purpose of movement of the user;
and a determining step of determining the content of the information to be provided to the user according to the result of the second estimating process by the estimating step. A history of location information detected by a detection device that detects the location of a terminal device used by a user, and a departure point and a destination in the movement pattern of the user based on the route search history entered by the user. A first estimation process for estimating in advance the purpose of the user's movement from the departure point to the destination in the pattern based on the relationship between and the pattern indicated by the latest position information based on the latest position information an estimation procedure for executing a second estimation process for estimating the purpose of movement estimated in advance as the purpose of movement of the user;
A determination program for causing a computer to execute a determination procedure for determining the content of information to be provided to the user according to a result of a second estimation process by the estimation procedure.

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