JP7389292B1 - Information processing device and information processing method - Google Patents

Abstract

The present invention provides an information processing device and an information processing method that effectively distribute information. In an information processing system that includes an information processing device, a user terminal, and a store terminal, an information processing device 1 receives terminal location information indicating the location of a user terminal used by a user, and information about the location of the user terminal at the location. a specifying unit 133 that specifies the current route of the user from the date and time when the user terminal started moving to the current date and time based on location history information associated with date and time information indicating the date and time when the user terminal existed; A storage unit 12 that associates and stores the information and distribution condition information for distributing the distribution information, which is a condition that a predetermined position is included in the travel route, and the specifying unit 133 specifies the information. It includes a distribution unit 135 that distributes distribution information associated with the distribution condition information to the user terminal when the user's current route includes a predetermined position. [Selection diagram] Figure 2

Description

The present invention relates to an information processing device and an information processing method.

Conventionally, information has been distributed to user terminals used by users. For example, in Patent Document 1, terminal position information indicating the position of the mobile terminal is acquired from a mobile terminal used by a user, and the position of the mobile terminal indicated by the acquired terminal position information is within a distribution area of predetermined information. A device is disclosed that distributes predetermined information to a mobile terminal under the condition that:

Japanese Patent Application Publication No. 2002-216021

Users who visit a distribution area have various purposes for visiting. In response, there is a need to effectively distribute information, such as distributing information only to users who have a predetermined purpose of visiting.

Therefore, the present invention has been made in view of these points, and an object of the present invention is to effectively distribute information.

An information processing apparatus according to a first aspect of the present invention provides a location in which terminal location information indicating the location of a user terminal used by a user is associated with date and time information indicating the date and time when the user terminal was present at the location. A specifying unit that specifies a current route that is a user's movement route from the date and time when the user terminal started moving to the current date and time based on history information, distribution information, and distribution conditions for distributing the distribution information. , a storage unit that stores distribution condition information in association with the condition that a predetermined position is included in the travel route, and the predetermined position is included in the user's current route specified by the identification unit. In this case, the information processing apparatus further includes a distribution unit that distributes distribution information associated with the distribution condition information to the user terminal.

The distribution condition includes a predetermined payment condition, and includes an acquisition unit that acquires payment history information indicating a history of payments made by the user, and the distribution unit , if the predetermined payment condition is satisfied, distribution information associated with the distribution condition information may be distributed to the user terminal.

The distribution conditions include a companion condition that the current route of the user matches or is similar to the current route of one or more other users; After specifying the route, if the distribution unit determines that the accompanying condition is satisfied based on the current route of the user and the current route of one or more other users, the distribution unit associates with the distribution condition information. Distribution information may be distributed to the user terminal.

The accompanying condition includes a relationship condition that the user and another user whose current route is the same or similar to the user is in a predetermined relationship, and the distribution unit If the conditions include the relational conditions, acquire contract information between the user and a communication carrier that provides a communication service used when the user terminal used by the user performs communication, and The contract information corresponding to another user whose current route matches or is similar to that of the user is acquired, and based on the contract information of the user and the contract information of the other user, the user and the other one or more The user relationship with each of the users may be specified, and based on the specified user relationship, it may be determined whether the relationship condition is satisfied.

The information processing device receives distribution information from a distributor of the distribution information, and also accepts and accepts an area of a scale specified by the distributor from among areas of a plurality of different scales as a position included in the distribution condition. The storage unit may include a registration unit that stores the distribution information in the storage unit in association with distribution condition information corresponding to a distribution condition indicating that the received area is included in the movement route.

An information processing method according to a second aspect of the present invention includes terminal location information indicating the location of a user terminal used by a user, and date and time information indicating the date and time when the user terminal was present at the location, which is executed by a computer. identifying a current route that is the user's movement route from the date and time when the user terminal started moving to the current date and time based on location history information associated with the distribution information; and distributing the distribution information in association with the distribution information. If distribution condition information is stored in the storage unit that is a distribution condition that requires a predetermined location to be included in the travel route, the predetermined location is included in the current route of the specified user. and delivering distribution information associated with the distribution condition information to the user terminal.

According to the present invention, it is possible to effectively distribute information.

FIG. 1 is a diagram showing an overview of an information processing system. 1 is a diagram showing a functional configuration of an information processing device. It is a figure showing an example of position history information. It is a figure showing an example of payment history information. This is an example of advertisement management information. It is a flowchart which shows the flow of the process which distributes advertising information in an information processing apparatus.

[Overview of information processing system S]
FIG. 1 is a diagram showing an overview of the information processing system S. As shown in FIG. The information processing system S is a system for distributing information to user terminals 2 owned by users.

The information processing system S includes an information processing device 1, a user terminal 2, and a store terminal 3. The information processing device 1 is a server that delivers various information such as advertising information to the user terminal 2. The user terminal 2 is a mobile terminal used by a user, and is, for example, a smartphone or a tablet. Although only one user terminal 2 is shown in FIG. 1, it is assumed that there are a plurality of user terminals 2 used by different users. The store terminal 3 is a terminal used by a store manager or the like, and is, for example, a personal computer.

The flow until information is distributed to the user terminal 2 will be described below with reference to FIG. First, the information processing device 1 acquires, from the store terminal 3, a store ID as store identification information for identifying the store, advertisement information as distribution information, and distribution condition information indicating distribution conditions of the advertisement information. ((1) in Figure 1). For example, the distribution condition information is that a predetermined position is included in the user's movement route. The information processing device 1 stores the acquired store ID, advertisement information, and distribution condition information in association with each other ((2) in FIG. 1).

The information processing device 1 acquires position history information ((3) in FIG. 1) and stores the position history information ((4) in FIG. 1). The location history information associates the user ID of the user, terminal location information indicating the location of the user terminal 2 used by the user, and date and time information indicating the date and time when the user terminal 2 existed at the location indicated by the terminal location information. This is the information. The information processing device 1 acquires the stored location history information, and identifies the current route, which is the user's travel route from the date and time when the user terminal 2 started moving to the current date and time, based on the acquired location history information. ((5) in Figure 1).

If the current route of the specified user includes a predetermined position defined in the distribution condition indicated by the distribution condition information, the information processing device 1 transmits the advertisement information associated with the distribution condition information to the user terminal. 2 ((6) in Figure 1). In this way, by distributing advertisement information to users whose current route includes a predetermined position, the information processing device 1 can effectively distribute advertisement information.

[Functional configuration of information processing device 1]
Next, details of the configuration of the information processing device 1 will be explained. FIG. 2 is a diagram showing the functional configuration of the information processing device 1. As shown in FIG. The information processing device 1 includes a communication section 11, a storage section 12, and a control section 13.

The communication unit 11 is a communication interface for transmitting and receiving data to and from the user terminal 2 and the store terminal 3 via a network such as the Internet.
The storage unit 12 is a storage medium that stores various data, and includes a ROM (Read Only Memory), a RAM (Random Access Memory), a hard disk, and the like. The storage unit 12 stores programs executed by the control unit 13. The storage unit 12 stores an advertisement distribution program that causes the control unit 13 to function as a registration unit 131, an acquisition unit 132, a specification unit 133, a prediction unit 134, and a distribution unit 135.

The storage unit 12 also stores a user ID (Identification) for identifying the user, terminal location information indicating the location of the user terminal 2 used by the user, and the date and time when the user terminal 2 was present at the location. Stores location history information associated with date and time information indicating. The location history information is information that is generated every time the base station of the mobile phone network with which the user terminal 2 communicates changes. The terminal location information is, for example, information indicating the location corresponding to a base station that communicates with the user terminal 2, and is associated with the base station location information indicating the location of the base station and is used to identify the base station. It is an ID. For example, in response to a change in the base station to which the user terminal 2 is connected, the information processing device 1 receives position history information from the user terminal 2 and stores it in the storage unit 12.

FIG. 3 is a diagram showing an example of position history information. As shown in FIG. 3, the location history information is information that associates a user's user ID, date and time information, and a base station ID as terminal location information. Although not shown, the storage unit 12 stores base station information in which base station IDs and base station location information are associated with each other, and the base station location information can be identified based on the base station ID. shall be. Further, although the terminal location information is assumed to be the base station ID, it is not limited to this. The terminal location information may be latitude and longitude information indicating the latitude and longitude corresponding to the location where the user terminal 2 is located.

The storage unit 12 also stores a past route, which is a past travel route of the user, and payment history information indicating the user's payment history at a store corresponding to the user's destination indicated by the past route, in association with each other. The storage unit 12 associates and stores a plurality of past routes of the user and payment history information of the user corresponding to the past routes. The payment history information is, for example, information generated by a payment processing device (not shown) that performs the payment in response to the user making the payment using the user terminal 2. The information processing device 1 receives payment history information from the payment processing device, associates the past route corresponding to the payment history information, and stores it in the storage unit 12.

FIG. 4 is a diagram showing an example of payment history information. As shown in FIG. 4, the payment history information includes the user ID of the user, payment date and time information indicating the date and time when the user made the payment, the store ID of the purchase store where the user purchased the product, etc., and the user ID. This is information that associates at least terminal location information (base station ID) as payment location information indicating the location where the user made the payment, the payment amount corresponding to the payment, and payment product information indicating the product etc. purchased by the user. . The payment date and time information indicates the date and time when the payment was made, and also indicates the date and time when the user terminal 2 was present at the store where the payment was made. The payment product information includes at least the product name of the product purchased by the user and the category of the product.

Further, in FIG. 4, it can be confirmed that past routes are associated with payment history information. The past route indicates the transition of terminal location information (base station ID) from when the user started moving to the user's destination. Although not shown in FIG. 4, it is assumed that a past route and a date and time corresponding to the past route are stored in association with each other. Specifically, it is assumed that the terminal location information constituting the past route is associated with date and time information indicating the date and time when the user terminal existed at the location indicated by the terminal location information. It is also assumed that the terminal location information corresponding to the final point of the past route corresponds to the user's destination and matches the terminal location information indicating the location where the payment was made.

Furthermore, the storage unit 12 stores advertisement management information in which advertisement information regarding the store is associated with distribution condition information indicating distribution conditions of the advertisement information. FIG. 5 is an example of advertisement management information. As shown in FIG. 5, the advertisement management information is information that associates the store ID of a store, the store name, an advertisement ID for identifying advertisement information regarding the store, advertisement information, and distribution condition information. . The advertisement information is, for example, benefit information indicating benefits available at the store. Benefits include, for example, a predetermined discount amount on the payment amount corresponding to the payment at the store, a refund of a predetermined refund amount to the user after the payment, points that the user can use at the store, etc., or the provision of prizes. be.

In the present embodiment, the advertisement information distribution conditions include location conditions, number of visits conditions, user attribute conditions, payment conditions, store visit period conditions, visiting source conditions, movement purpose conditions, and accompanying conditions. The location condition is a condition that a predetermined location is included in the travel route of the user terminal. For example, in the example shown in FIG. 5, the distribution conditions associated with the advertisement ID "T002-001" and the distribution conditions indicated by the distribution condition information associated with "T002-002" and "T002-003", It can be confirmed that the location condition is included. Note that, as shown in the distribution conditions associated with the advertisement ID "T002-001" in FIG. 5, the number of predetermined positions is not limited to one, but may be multiple. Further, the location condition may include a stay time at a predetermined location.

The number of visits condition is, for example, a condition corresponding to the number of times a user visits a store indicated by the store ID or a store belonging to a predetermined category. For example, as shown in FIG. 5, the number of visits condition is such that the number of visits to a store in the past month is less than a predetermined number, or the number of visits to a store in a predetermined category is greater than or equal to a predetermined number. It is.

The user attribute conditions are, for example, conditions corresponding to user attributes such as gender, age, place of residence, and occupation. For example, user information in which a user ID of a user is associated with an attribute of the user is stored in the storage unit 12, and the information processing device 1 identifies the attribute of the user based on the user ID, and the information processing device 1 specifies the attribute of the user based on the user ID. Based on this, it can be determined whether the user attribute conditions are satisfied.

The payment conditions are conditions related to the user's payment amount. The payment condition is, for example, a condition that the total amount of payments made by the user or the average amount of payments made by the user at a store corresponding to the user's destination is greater than or equal to a predetermined amount or less than a predetermined amount. The payment conditions may include the name of the product to be purchased and the product category of the product. That is, the payment conditions may be conditions regarding the payment amount when the user purchases a predetermined product or a product of a predetermined product category at a store corresponding to the destination. The store visit period condition is a condition regarding the period during which the user visits the store corresponding to the destination. The visiting source condition is a condition that corresponds to the location of the user's visiting source, which can be specified by the user's current route, and is, for example, a condition that the user visits the store from the Kanto region.

The movement purpose condition is a condition regarding the purpose of movement of the user to the destination. The purpose of movement includes, for example, daily movement, which is the purpose of movement for daily life such as commuting to work, school, and everyday shopping, and non-normal movement, which is the purpose of movement for daily life such as traveling, business trips, and unusual shopping. This includes daily movement. In the example shown in FIG. 5, it can be confirmed that the movement purpose condition is included in the distribution conditions associated with the advertisement IDs "T002-002" and "T002-003."

The accompanying condition is that the current route of the user is similar to the current route of one or more other users, that is, that the user is accompanied by a predetermined number of other users. In the example shown in FIG. 5, it can be confirmed that the accompanying condition is included in the distribution conditions associated with the advertisement IDs "T002-002" and "T002-003." Note that the accompanying conditions may include a user relationship condition that the user has a predetermined relationship with another user whose current route matches or is similar to the user. The user relationship condition is, for example, that the user and another user have a family relationship, or that the user and another user live together.

Store managers, etc. can set the store indicated by the store ID as a destination by combining location conditions, number of visits conditions, user attribute conditions, payment conditions, store visit period conditions, visit source conditions, movement purpose conditions, and accompanying conditions. You can set the distribution conditions for advertising information to be distributed to users.

The control unit 13 is, for example, a CPU (Central Processing Unit). The control unit 13 functions as a registration unit 131, an acquisition unit 132, a specification unit 133, a prediction unit 134, and a distribution unit 135 by executing the advertisement distribution program stored in the storage unit 12.

For example, the registration unit 131 receives advertisement information regarding the store and distribution condition information indicating the distribution conditions of the advertisement information from the store terminal 3 of the store, and associates the advertisement information with the distribution condition information to perform advertisement management. The information is stored in the storage unit 12 as information.

For example, the registration unit 131 receives an advertisement setting request including a store ID from a store manager serving as a distributor of advertisement information via the store terminal 3 of the store. Upon receiving the advertisement setting request, the registration unit 131 causes the store terminal 3 to display a setting screen for setting advertisement information and distribution conditions for the advertisement information. The registration unit 131 receives advertisement information and distribution conditions from the store manager via the setting screen.

The registration unit 131 sets at least one of the above-mentioned location conditions, number of visits conditions, user attribute conditions, payment conditions, store visit period conditions, visiting source conditions, movement purpose conditions, and accompanying conditions as distribution conditions via the setting screen. Accepts combined conditions.

When accepting a location condition, the registration unit 131 accepts an area of a scale designated by the distributor from among areas of a plurality of different scales as a location included in the location condition. For example, areas of multiple different scales include areas of the first division such as Shibuya Ward, Shinjuku Ward, and Chiyoda Ward, areas of the second division such as Tokyo and Kanagawa that include multiple areas of the first division, and areas such as the Kanto region and the Kansai region. , a third divided area including a plurality of second divided areas. When accepting multiple areas as location conditions, the registration unit 131 may accept areas of different categories.

Upon receiving the advertisement information and distribution conditions, the registration unit 131 generates an advertisement ID for identifying the advertisement information. The registration unit 131 manages advertisements by associating the store ID included in the advertisement setting request, the store name corresponding to the store ID, the generated advertisement ID, the received advertisement information, and distribution condition information indicating distribution conditions. The information is stored in the storage unit 12 as information. For example, when the registration unit 131 receives a location condition as the distribution condition, the registration unit 131 includes distribution condition information corresponding to the distribution condition indicating that the area received from the user terminal 2 is included in the movement route, and the store ID. The store name, the generated advertisement ID, and advertisement information are stored in the storage unit 12 in association with each other.

The acquisition unit 132 associates the user ID of the user, terminal location information indicating the location of the user terminal 2, and date and time information indicating the date and time when the user terminal 2 existed at the location from the user terminal 2 used by the user. Get location history information. The acquisition unit 132 causes the storage unit 12 to store the acquired position history information.

The acquisition unit 132 also acquires payment history information indicating the user's payment history at the store from the user terminal 2 or the store terminal 3. Upon acquiring the payment history information, the acquisition unit 132 determines the terminal position from the date and time when the user terminal 2 last started moving to the date and time when the payment was made, based on the location history information stored in the storage unit 12. Identify the transition of information as the user's past route. Then, the acquisition unit 132 associates the acquired payment history information, the specified past route, and the date and time information corresponding to the terminal location information that constitutes the specified past route, and stores them in the storage unit 12.

The specifying unit 133 specifies, at predetermined intervals, the current route that is the user's movement route from the date and time when the user terminal 2 started moving to the current date and time, based on the position history information stored in the storage unit 12. For example, the specifying unit 133 compares the time difference between the latest date and time information and the date and time indicated by the immediately preceding date and time information among the date and time information included in the location history information, and determines whether the time difference is greater than or equal to a predetermined time (for example, 3 hours). (etc.) The date and time indicated by certain date and time information is identified as the date and time when the movement started. The identifying unit 133 then determines the transition of the terminal location information from the terminal location information associated with the date and time information indicating the specified date and time to the terminal location information associated with the date and time information of the latest date and time, as the current route. Identify.

The specifying unit 133 specifies the current route of each of the plurality of users. That is, the specifying unit 133 specifies the current route of the user of the user terminal 2 at predetermined intervals, and also specifies the current route of the user of a user terminal different from the user terminal 2 at predetermined intervals.

The prediction unit 134 predicts the user's destination corresponding to the user's current route based on the user's current route specified by the specifying unit 133 and the user's past route stored in the storage unit 12. For example, the prediction unit 134 predicts the store that is the user's destination based on the user's current route, the user's past route, and the payment history information associated with the past route.

Specifically, the prediction unit 134 predicts that among the past routes associated with the user ID of the user terminal 2 in the storage unit 12, a proportion of terminal location information indicating the current route exceeds a predetermined threshold and , a past route having the same transition order as the terminal position information of the current route is identified. The prediction unit 134 then identifies the past route with the highest ratio among the identified past routes as a past route similar to the current route. Here, the past routes similar to the current route may also include past routes that match the current route.

Here, the prediction unit 134 selects a date and time type that indicates whether the time zone, day of the week, or date and time corresponding to the current route that corresponds to the current route specified by the specifying unit 133 is a holiday, and that is similar to the current route. The user's past route including the route may be identified as a past route similar to the current route. In this case, the prediction unit 134 identifies the time slot, day of the week, and date and time type corresponding to the past route based on the date and time information associated with the past route stored in the storage unit 12. The date and time type is, for example, a type that specifies weekdays, holidays, and public holidays.

The prediction unit 134 then selects a past route corresponding to the same time zone, day of the week, and date/time type as at least one of the time zone, day of the week, and date/time type corresponding to the current route identified by the identifying unit 133. Identify the route. By doing so, the information processing device 1 can accurately identify a past route similar to the current route, taking into account the habitual behavior of the user, depending on the time of day, day of the week, date and time type. .

After identifying the past route, the prediction unit 134 predicts the store that is the user's destination based on the payment history information associated with the identified past route. For example, the prediction unit 134 predicts that the store indicated by the store ID included in the payment history information stored in the storage unit 12 in association with the specified past route is the store that is the user's destination.

Furthermore, the prediction unit 134 predicts the purpose of the user's movement to the destination based on past routes including routes similar to the current route. First, the prediction unit 134 identifies the user's base location, which is the location where the user stays for a predetermined period of time or more, based on a plurality of past routes of the user stored in the storage unit 12. The prediction unit 134 calculates the stay time at the location indicated by the terminal location information that is the starting point of the user's multiple past routes. For example, when the starting points of the past routes indicate the same position, the prediction unit 134 calculates the total time of stay at the position, and based on whether the calculated total time is equal to or longer than a predetermined time, the prediction unit 134 calculates the total time of stay at the position. Identify base location. The base location may be the user's home or place of work. Here, although the prediction unit 134 specified the user's base position based on the past route, the present invention is not limited to this, and may specify the user's base position based on the user's position history information.

The prediction unit 134 predicts the purpose of movement based on whether the user's destination corresponds to the user's base location. For example, if the location of the store serving as the user's destination is within a predetermined range from the user's base location, the prediction unit 134 identifies the purpose of the user's trip to the destination as daily travel. Moreover, the prediction unit 134 identifies the purpose of the user's movement to the destination as an unusual movement when the location of the store serving as the user's destination is not within a predetermined range from the user's base location.

Note that the prediction unit 134 determines that there is no past route of the user that corresponds to the time zone, day of the week, or date and time type that corresponds to the current route of the user identified by the identification unit 133, and that includes a route that matches or is similar to the current route. In this case, other users' past routes that correspond to the time zone, day of the week, or date and time type and that match or are similar to the current route may be identified, and the destination may be predicted based on the past route. .

The prediction unit 134 refers to the past routes of other users who have attributes that match or are similar to the user's attributes, and determines the past routes of other users that match or are similar to the user's current route. It may be specified. Then, the prediction unit 134 predicts the store indicated by the store ID included in the payment history information of the other user, which is stored in the storage unit 12 in association with the past route of the specified other user, as the user's destination. do. By doing so, the information processing device 1 can predict the destination even when the user heads to a destination that the user has never visited.

The distribution unit 135 distributes information regarding the destination to the user terminal 2 before the user terminal 2 arrives at the destination predicted by the prediction unit 134. Specifically, the distribution unit 135 distributes advertisement information corresponding to the store to the user terminal 2 as information regarding the store predicted as the destination by the prediction unit 134.

More specifically, the distribution unit 135 refers to the advertisement management information stored in the storage unit 12, and selects among the advertisement information associated with the store ID indicating the store predicted as the destination by the prediction unit 134. Advertising information that satisfies the distribution conditions indicated by the distribution condition information is distributed to the user terminal 2.

First, the distribution unit 135 identifies the distribution condition indicated by the distribution condition information associated with the store ID of the store predicted by the prediction unit 134 as the destination, and determines whether the distribution condition is satisfied.

For example, when the distribution condition is a location condition, the distribution section 135 determines whether the current route of the user specified by the specifying section 133 includes a predetermined position specified in the location condition. In the location condition, if the stay time at the specified location is determined, the distribution unit 135 transmits the current route based on the user's current route and the time information associated with the current route. The stay time at the location of the user terminal 2 indicated by the terminal location information constituting the route is calculated. Based on the calculated stay time, the distribution unit 135 determines whether the stay time at the specified location is satisfied.

In addition, if the specified distribution condition includes a visit count condition, the distribution unit 135 calculates the number of visits of the user to the store that is the destination predicted by the prediction unit 134, the user ID of the user, and the purpose of the visit. The identification is based on the number of payment history information including terminal location information (payment location information) corresponding to the location. Then, the distribution unit 135 determines whether the visit count condition is satisfied based on the specified visit count.

Further, if the distribution condition includes a payment condition, the distribution unit 135 determines whether the payment condition is satisfied based on the user's payment amount included in the payment history information stored in the storage unit 12. do. If the distribution condition includes a user attribute condition, the distribution unit 135 determines whether the user attribute condition is satisfied based on the user attribute included in the user information stored in the storage unit 12.

If the distribution condition includes a store visit period condition, the distribution unit 135 determines whether the store visit period condition is satisfied based on the current date and time. If the distribution condition includes the visiting source condition, the distribution unit 135 determines whether the visiting source condition is satisfied based on the location information of the plurality of terminals forming the current route of the user identified by the specifying unit 133. . If the distribution condition includes a movement purpose condition, the distribution unit 135 determines whether the movement purpose predicted by the prediction unit 134 satisfies the movement purpose condition.

If the delivery condition includes an accompanying condition, the distribution unit 135 satisfies the accompanying condition based on the current route of the user of the user terminal 2 and the current route of one or more other users different from the user. Determine whether or not the For example, the distribution unit 135 identifies one or more other users who exist at the same position as the current position indicated by the current route of the user of the user terminal 2. The distribution unit 135 identifies the current route corresponding to each of the identified one or more other users, and determines the degree of matching with the current route of the user of the user terminal 2. The distribution unit 135 causes the user of the user terminal 2 to accompany the user of the user terminal 2 to another user whose current route has a degree of coincidence with the current route of the user of the user terminal 2 that is equal to or higher than a predetermined percentage, from among the one or more specified other users. identify accompanying users who are The distribution unit 135 determines whether the accompanying condition is satisfied based on the number of accompanying users.

Furthermore, if the distribution unit 135 determines that the user is moving with another user when the accompanying condition includes a user related condition, the distribution unit 135 provides a communication service that is used when the user terminal 2 of the user communicates. In addition to acquiring contract information between a user and a telecommunications carrier that provides the service, contract information between other users and telecommunications carriers is also acquired. For example, the distribution unit 135 refers to an external device that stores the user ID of the user in association with contract information related to the contract between the user and the carrier, and sends the contract information corresponding to the user and other users. Obtain the corresponding contract information.

Contract information includes information that can identify relationships with other users, such as the user's address and name, as well as the names and user IDs of one or more users who compile billing for usage fees related to communication services. . The distribution unit 135 specifies the user relationship between the user and each of one or more other users based on the acquired contract information of the user and the contract information of other users, and based on the specified user relationship, It is determined whether the user relationship conditions included in the accompanying conditions are satisfied.

The distribution unit 135 distributes advertising information associated with the distribution condition to the user terminal 2 in response to determining that all one or more conditions included in the distribution condition are satisfied. For example, when the distribution unit 135 determines that the distribution condition including the location condition is satisfied, the distribution unit 135 distributes advertisement information associated with distribution condition information indicating the distribution condition to the user terminal 2. Further, when the distribution unit 135 determines that the distribution condition including the payment condition is satisfied, the distribution unit 135 distributes the advertisement information associated with the distribution condition information indicating the distribution condition to the user terminal 2.

Further, when the distribution unit 135 determines that the distribution condition including the visit count condition is satisfied, the distribution unit 135 transmits the advertisement information corresponding to the user's visit count, that is, the advertisement information associated with the distribution condition including the visit count condition to the user terminal. Delivered on 2nd. Further, when the distribution unit 135 determines that the distribution condition including the travel purpose condition is satisfied, the distribution unit 135 transmits advertisement information corresponding to the user's travel purpose, that is, advertisement information associated with the distribution condition including the travel purpose condition to the user terminal. Delivered on 2nd.

Note that when distributing advertising information corresponding to a store as a destination predicted by the prediction unit 134, the destination is not necessarily correct. For this reason, the distribution unit 135 may transmit information indicating the destination predicted by the prediction unit 134 to the user terminal 2, and may receive an answer from the user terminal 2 as to whether or not the destination is correct. If the destination is incorrect, the distribution unit 135 may accept the correct destination. The distribution unit 135 may then distribute advertising information based on the received response.

For example, if the distribution unit 135 receives an answer indicating that the destination is correct, the distribution unit 135 distributes advertising information associated with the store ID of the store predicted by the prediction unit 134 as the destination to the user terminal 2. . Further, if the destination is incorrect and the correct destination is received as an answer, the distribution unit 135 specifies the store corresponding to the destination. For example, the distribution unit 135 specifies a store that exists within a predetermined range from the destination, and distributes advertising information associated with the store ID of the specified store to the user terminal 2. Furthermore, the distribution unit 135 receives a response indicating that the destination is incorrect, and controls the advertisement information not to be distributed to the user terminal 2 if the correct destination is not accepted. By doing so, the information processing device 1 can distribute advertisement information corresponding to the user's correct destination.

Furthermore, the distribution unit 135 may not redistribute the advertisement information within a predetermined time after the last distribution of the advertisement information to the user terminal 2. By doing so, the information processing device 1 can distribute advertisement information to the user terminal 2 with high frequency, and can suppress the user from feeling uncomfortable about the distribution of advertisement information.

Further, when distributing advertisement information to the user terminal 2, the distribution unit 135 may distribute different advertisement information depending on the contract details of the contract that the user of the user terminal 2 has with the communication carrier. For example, the distribution unit 135 distributes different amounts of advertising information based on the amount of communication capacity allocated to the user for a predetermined period, which is indicated by the contract between the user and the communication carrier. For example, if the communication capacity allocated to the user for a predetermined period is larger than the predetermined communication capacity, the distribution unit 135 distributes advertisement information indicating a video advertisement, and if the communication capacity is less than or equal to the predetermined communication capacity. In this case, advertisement information indicating a text advertisement is distributed. By doing so, the information processing device 1 can distribute an appropriate amount of advertising information to the user terminal 2.

Furthermore, although the distribution unit 135 distributes advertisement information as information regarding the destination, the present invention is not limited to this, and may also distribute information indicating the congestion situation at the destination. In this case, the prediction unit 134 predicts the arrival time of the user at the destination corresponding to the user's current route based on the user's current route and the user's past routes. For example, the prediction unit 134 specifies the current location indicated by the user's current route or a location near the current location among the locations indicated by the terminal location information constituting the past route identified as matching or similar to the user's current route. do. Then, the prediction unit 134 refers to the date and time information associated with the past route, and based on the difference between the date and time corresponding to the specified position and the date and time corresponding to the destination indicated by the past route, the prediction unit 134 Predict the arrival time of the user at the destination corresponding to the route.

Furthermore, the prediction unit 134 determines whether the user has reached the destination based on the past communication conditions with each of the plurality of user terminals of the base station corresponding to the destination, and which corresponds to the time period to which the predicted arrival time belongs. Predict the communication congestion situation at the destination at the time of arrival. For example, the prediction unit 134 refers to location history information (for example, location history information from one week ago) corresponding to the same day of the week or the same date and time type that corresponds to the current date and time, and moves the user to the predicted destination. The number of user terminals that were present at the destination during the same time period as the time period to which the arrival time of . The prediction unit 134 then predicts the communication congestion situation at the destination at the arrival time based on the calculated number of user terminals.

The distribution unit 135 distributes information indicating the congestion situation of the destination predicted by the prediction unit 134 to the user terminal 2 as information regarding the destination before the user terminal 2 arrives at the destination. By doing this, the user can know in advance the congestion situation when arriving at the destination.

In addition, when distributing advertising information of a store before the user terminal 2 arrives at the store as a destination predicted by the prediction unit 134, the distributing unit 135 adjusts the timing of distributing the advertising information. You may also do so. For example, the distribution unit 135 may identify the usage status of the base station with which the user terminal 2 is currently communicating, and distribute advertising information to the user terminal 2 based on the identified usage status. For example, the distribution unit 135 may distribute the advertisement information on the condition that the identified usage status indicates that the base station is not congested. By doing so, the information processing device 1 can distribute advertisement information when there are surplus resources of the base station, so that the resources of the base station can be effectively used.

Further, the distribution unit 135 may specify the stay time of the user terminal 2 at the current position based on the plurality of current routes specified by the specifying unit 133 at predetermined intervals. Then, the distribution unit 135 may distribute the advertisement information to the user terminal 2 when the specified stay time is equal to or longer than a predetermined stay time. By doing so, the information processing device 1 can distribute information regarding the purpose at the timing when the user starts moving.

Furthermore, after the prediction unit 134 predicts the destination, the distribution unit 135 refers to the position history information at predetermined intervals, so that the current position of the user terminal 2 indicated by the position history information is within a predetermined range from the destination for a predetermined time. Advertisement information may be distributed to the user terminal 2 in response to indicating a position corresponding to one of the base stations. If the current location of user terminal 2 indicates a location corresponding to one base station within a predetermined range from the destination for a predetermined period of time, user 2 is taking a break or eating in the vicinity of the destination, and the user There is a high probability that the terminal 2 can be operated immediately. Since the information processing device 1 delivers the advertisement information to the user terminal 2 at such timing, it is possible to increase the probability that the user will view the advertisement information.

Further, the distribution unit 135 may specify the current moving speed of the user terminal 2 based on the user's position history information stored in the storage unit 12. For example, the distribution unit 135 transmits the location of the user terminal 2 indicated by the terminal location information indicated by the location history information corresponding to the specified current route among the user's location history information stored in the storage unit 12, and the date and time information. Based on the relationship, the maximum value of the moving speed and the average value of the moving speed of the user terminal 2 are specified.

Here, the distribution unit 135 identifies the user's movement speed when the user terminal 2 accesses the predetermined base station based on the multiple positions of the user terminal 2 corresponding to the current route and multiple dates and times. You can. For example, the predetermined base stations are two adjacent base stations, and the distribution unit 135 determines whether the two base station IDs are included in the plurality of terminal location information (base station IDs) indicated by the user's current route. If so, based on the date and time difference indicated by the two date and time information corresponding to the two base station IDs and the distance specified in advance with respect to the two base stations corresponding to the two base station IDs, The user's moving speed may also be calculated.

Then, the distribution unit 135 identifies the means of transportation of the user corresponding to the current route based on the identified travel speed, and distributes the advertisement information to the user terminal 2 at a timing corresponding to the identified means of transportation. For example, if the specified means of transportation is walking or cycling, the distribution unit 135 transmits advertising information to the user terminal in response to the distance from the location of the user terminal 2 to the destination becoming less than or equal to the first distance. Delivered on 2nd. In addition, when the specified means of transportation is different from walking and cycling, the distribution unit 135 responds when the distance from the location of the user terminal 2 to the destination becomes equal to or less than a second distance that is greater than the first distance. The advertisement information is distributed to the user terminal 2. By doing so, the information processing device 1 can distribute information regarding the destination at an appropriate timing depending on the user's means of transportation.

Further, after identifying the user's means of transportation as a railway vehicle, the distribution unit 135 refers to the position history information at predetermined intervals, and determines whether the current position of the user terminal 2 indicated by the position history information is within a predetermined range from the destination. Information regarding the destination may be distributed in response to indicating the location corresponding to the base station. A base station within a predetermined range from the destination is, for example, a base station adjacent to a base station that covers the nearest station to the destination. By doing so, the information processing device 1 can distribute information regarding the destination immediately before arriving at the destination.

[Operation flow]
Next, the flow of processing for distributing advertising information will be explained. FIG. 6 is a flowchart showing the flow of processing for distributing advertising information in the information processing device 1. It is assumed that before the start of this flowchart, advertisement management information is stored in the storage unit 12, and payment history information and past routes are stored in the storage unit 12 in association with each other.

First, the acquisition unit 132 acquires position history information from the user terminal 2 (S1). The acquisition unit 132 causes the storage unit 12 to store the acquired position history information.
Next, the specifying unit 133 specifies the current route, which is the user's movement route from the date and time when the user terminal 2 started moving to the current date and time, based on the location history information stored in the storage unit 12 ( S2).

The prediction unit 134 refers to the user's past route and other users' past routes stored in the storage unit 12 and determines whether there is a past route that matches or is similar to the user's current route identified by the identifying unit 133. (S3). Here, the prediction unit 134 determines whether or not a past route exists in which the ratio of multiple pieces of terminal location information indicating the current route is included exceeds a predetermined threshold and the same transition order as the terminal location information of the current route exists. Based on this, it is determined whether there is a past route that matches or is similar to the user's current route. If the prediction unit 134 determines that there is a past route that matches or is similar to the current route (YES in S3), the prediction unit 134 moves the process to S4, and if it determines that there is no past route that matches or is similar to the current route (NO in S3). , the process moves to S1.

In S4, the prediction unit 134 predicts the store indicated by the store ID included in the payment history information associated with the past route that matches or is similar to the current route as the user's destination.
Subsequently, the distribution unit 135 identifies advertisement information that satisfies the distribution conditions from among the advertisement information associated with the store ID of the store specified as the user's destination (S5). Then, the distribution unit 135 distributes the specified advertisement information to the user terminal 2 (S6).

[Modification 1]
In the embodiment described above, the past route and the payment history information are stored in the storage unit 12 in association with each other, and the prediction unit 134 uses the payment history information associated with the past route that matches or is similar to the current route. However, the present invention is not limited to this. For example, past routes and payment history information may not be stored in association with each other. The prediction unit 134 may then specify, as the destination, the location of the terminal location information indicating the end point of the route indicated by the past route that matches or is similar to the current route. In this case, the distribution unit 135 may distribute advertisement information corresponding to stores existing within a predetermined range from the destination as information regarding the destination.

[Modification 2]
The prediction unit 134 may also acquire public transportation reservation information and predict the user's destination based on the user's current route, the user's past routes, and the public transportation reservation information. . For example, the prediction unit 134 acquires the user's public transportation reservation information for the same day from an external device that manages public transportation reservation information.

Specifically, the prediction unit 134 predicts that among the past routes associated with the user ID of the user terminal 2 in the storage unit 12, a proportion of terminal location information indicating the current route exceeds a predetermined threshold and , a past route having the same transition order as the terminal position information of the current route is identified. The prediction unit 134 then identifies, among the identified past routes, a past route that includes terminal location information corresponding to the public transportation destination indicated by the reservation information and has the highest proportion as a past route that is similar to the current route. do. By doing so, the information processing device 1 can improve the accuracy of identifying past routes similar to the current route.

[Modification 3]
The prediction unit 134 also acquires the user's facility reservation information corresponding to a predetermined event or facility, and determines the user's destination based on the user's current route, the user's past route, and the facility reservation information. may be predicted. For example, the prediction unit 134 acquires the user's facility reservation information for the day from an external device that manages facility reservation information including identification information for identifying a predetermined event or facility.

The prediction unit 134 specifies the predetermined event or facility that the user has reserved based on the identification information included in the acquired facility reservation information, and specifies the venue of the specified predetermined event or the location of the facility. Then, the prediction unit 134 predicts whether the specified predetermined event location or facility location is within a predetermined distance from the terminal location information indicating the end point of a past route that is constant or similar to the current route. Predict the event or facility of the user as the user's purpose. By doing so, the information processing device 1 can improve the prediction accuracy of the destination compared to the case where reservation information is not used.

[Modification 4]
Further, the prediction unit 134 may further use information indicating the remaining battery level of the user terminal 2 to predict the user's destination corresponding to the user's current route. In this case, the acquisition unit 132 obtains the user ID of the user, terminal location information indicating the location of the user terminal 2, date and time information indicating the date and time when the user terminal 2 existed at the location, and the presence of the user terminal 2 at the location. The location history information associated with the remaining battery level information indicating the remaining battery level of the user terminal 2 at the time is acquired from the user terminal 2 and stored in the storage unit 12.

Furthermore, the storage unit 12 stores the user's past route and the state of change in the remaining battery level of the user terminal corresponding to the past route in association with each other. For example, the storage unit 12 stores each of a plurality of pieces of terminal position information constituting the user's past route, and the remaining battery level information indicating the remaining battery level of the user terminal 2 when the user terminal 2 was present at the position indicated by the terminal position information. be associated and memorized.

The identifying unit 133 identifies the user's current route and also identifies changes in the remaining battery power of the user terminal 2 based on the remaining power information included in the location history information stored in the storage unit 12.

The prediction unit 134 calculates the current route of the user identified by the identification unit 133 and the state of change in the remaining battery power corresponding to the current route, the past route of the user stored in the storage unit 12, and the remaining battery power corresponding to the past route. The user's destination corresponding to the user's current route is predicted based on the amount of change.

Specifically, the prediction unit 134 predicts that among the past routes associated with the user ID of the user terminal 2 in the storage unit 12, a proportion of terminal location information indicating the current route exceeds a predetermined threshold and , a past route having the same transition order as the terminal position information of the current route is identified. The prediction unit 134 identifies, among the identified past routes, a past route whose change trend is similar to that of the current route. Then, the prediction unit 134 identifies the past route with the highest ratio among the identified past routes as a past route similar to the current route, and based on the payment history information associated with the identified past route, the prediction unit 134 Predict your destination.

When a user performs daily activities such as going to school or commuting, the state of change in remaining battery power tends to be similar. In contrast, the information processing device 1 identifies past routes similar to the current route based on the remaining battery level, so if the current route indicates daily activities, the information processing device 1 identifies the past routes similar to the current route based on the remaining battery level. It is possible to increase the probability of specifying a past route that is similar to the current route.

[Modification 5]
Further, the information processing device 1 predicts the user's destination corresponding to the user's current route based on the user's current route and the user's past route stored in the storage unit 12, and Although the information is distributed to the user terminal 2, the present invention is not limited thereto.

When the distribution conditions of advertising information are limited to location conditions or accompanying conditions, the information processing device 1 does not need to predict the user's destination. Then, in response to the specifying unit 133 specifying the user's current route, the distribution unit 135 determines whether the location condition or accompanying condition is satisfied as the distribution condition indicated by the distribution condition information, and In response to determining that all of the above conditions are met, advertising information associated with the distribution condition may be distributed to the user terminal 2.

For example, when the distribution condition is a location condition, when the specifying section 133 specifies the user's current route, the distribution unit 135 determines whether the user's current route includes a predetermined position corresponding to the location condition. It may also be determined whether or not there is one. When the distribution unit 135 determines that the predetermined position corresponding to the location condition is included, the distribution unit 135 distributes the advertisement information associated with the distribution condition information corresponding to the location condition to the user terminal 2. good.

[Modification 6]
Further, the acquisition unit 132 is configured to receive position history information from the user terminal 2 and store it in the storage unit 12 in response to a change in the base station to which the user terminal 2 is connected, for example. Not limited to. The user terminal 2 may transmit the user ID and the location identification information at predetermined intervals, and the acquisition unit 132 may receive the user ID and location identification information. Then, in response to the fact that the position indicated by the received position specifying information has changed from the position indicated by the immediately preceding received position specifying information, the acquisition unit 132 acquires the received position specifying information, the user ID, and the position. The identification information may be stored as position history information in association with date and time information indicating the date and time when the identification information was received.

[Modification 7]
In addition, the distribution unit 135 distributes advertising information associated with the distribution condition to the user terminal 2 in response to determining that all one or more conditions included in the distribution condition are satisfied. It is not limited to this. The distribution unit 135 may distribute advertisement information associated with the distribution condition to the user terminal 2 in response to determining that any one of the plurality of conditions included in the distribution condition is satisfied. Furthermore, when the distribution conditions include multiple conditions, the registration unit 131 determines whether to distribute the advertisement information when all the conditions are met or whether to distribute the advertisement information when any one of the conditions is met. The designation may be received from the store terminal 3.

[Effects of information processing system S]
As explained above, the information processing device 1 according to the present embodiment has terminal location information indicating the location of the user terminal 2 used by the user, and date and time information indicating the date and time when the user terminal 2 was present at the location. The current route, which is the user's movement route from the date and time when the user terminal 2 started moving to the current date and time, is specified based on the position history information associated with the . Then, the information processing device 1 stores in the storage unit 12 distribution condition information that is associated with the distribution information and is a distribution condition for distributing the distribution information, which is a condition that a predetermined position is included in the movement route. If stored, and the specified user's current route includes the predetermined position, the distribution information associated with the distribution condition information is distributed to the user terminal 2. By doing so, the information processing device 1 can effectively distribute information.

Furthermore, the present invention makes it possible to contribute to Goal 9 of the Sustainable Development Goals (SDGs) led by the United Nations, "Create a foundation for industry and technological innovation."

Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes can be made within the scope of the gist. be. For example, all or part of the device can be functionally or physically distributed and integrated into arbitrary units. In addition, new embodiments created by arbitrary combinations of multiple embodiments are also included in the embodiments of the present invention. The effects of the new embodiment resulting from the combination have the effects of the original embodiment.

1 Information processing device 2 User terminal 3 Store terminal 11 Communication unit 12 Storage unit 13 Control unit 131 Registration unit 132 Acquisition unit 133 Specification unit 134 Prediction unit 135 Distribution unit S Information processing system

Claims (4)

The date and time when the user terminal started moving, based on location history information that associates terminal location information indicating the location of the user terminal used by the user with date and time information indicating the date and time when the user terminal existed at the location. an identification unit that identifies , for each of the plurality of users, a current route that is the user's travel route from to the current date and time;
distribution information and distribution conditions for distributing the distribution information, the current route of the user and the current route of one or more other users are the same or similar, and the user and the current route are Association with distribution condition information that includes accompanying conditions that include a relationship condition that the relationship with another user who is the same or similar is a predetermined relationship, and that a predetermined location is included in the travel route. a storage unit that stores information;
If the current route of the user and the current route of one or more other users match or are similar, the user terminal used by the user may communicate with the carrier that provides the communication service used when communicating. First contract information, which is contract information with the user, is acquired, and second contract information, which is contract information between the communication carrier and each of one or more other users whose current routes match or are similar to the user, is obtained. and specifying a user relationship between the user and each of the other one or more users based on the first contract information and the second contract information corresponding to each of the other one or more users. , determining whether the accompanying condition is satisfied by determining whether or not the relationship condition is satisfied based on the identified user relationship, determining that the accompanying condition is satisfied, and determining that the identifying unit a distribution unit that distributes distribution information associated with the distribution condition information to the user terminal when the predetermined location is included in the current route of the user identified by;
An information processing device having: The delivery conditions include predetermined payment conditions,
an acquisition unit that acquires payment history information indicating a history of payments made by the user;
The distribution unit distributes distribution information associated with the distribution condition information to the user terminal when the predetermined payment condition is satisfied based on the payment history information.
The information processing device according to claim 1. Receiving distribution information from a distributor of distribution information, accepting an area of a scale specified by the distributor from among areas of a plurality of different scales as a position included in the distribution condition, and receiving the received distribution information and the reception. a registration unit that stores in the storage unit distribution condition information corresponding to distribution conditions indicating that the travel route includes an area in which the travel route includes the area;
The information processing device according to claim 1. computer executes
The date and time when the user terminal started moving, based on location history information that associates terminal location information indicating the location of the user terminal used by the user with date and time information indicating the date and time when the user terminal existed at the location. specifying, for each of the plurality of users, a current route that is the user's travel route from to the current date and time;
Distribution conditions for distributing the distribution information in association with the distribution information, the current route of the user and the current route of one or more other users are the same or similar, and the user and the current route of the user Distribution condition information that includes accompanying conditions that include a relationship condition that the relationship with another user with whom the route is the same or similar is a predetermined relationship, and that the travel route includes a predetermined location. When the user terminal used by the user communicates when it is determined that the current route of the user matches or is similar to the current route of one or more other users when stored in the storage unit. First contract information, which is contract information between the user and a communication carrier that provides communication services used for the communication service, is acquired, and the communication service is acquired with each of one or more other users whose current routes match or are similar to the user and the communication service provider. acquire second contract information that is contract information with the other user, and based on the first contract information and the second contract information corresponding to each of the one or more other users, Identifying the user relationship with each of the one or more users, determining whether the relationship condition is satisfied based on the identified user relationship, and satisfying the accompanying condition by determining that the relationship condition is satisfied. If it is determined that the accompaniment condition is satisfied, and the specified location is included in the current route of the identified user, distribution information associated with the distribution condition information is transmitted. delivering to the user terminal;
An information processing method having

Images