JP6800829B2 - 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.

Conventionally, various techniques for delivering advertisements to users have been provided. For example, a technology for supplying advertisements linked to the environment surrounding advertisement recipients is provided.

JP-A-2002-215656

However, in the above-mentioned conventional technique, it is not always possible to enable the user to appropriately deliver an advertisement according to the obstruction of the user's movement. For example, it may be difficult for the user to visually recognize the desired advertisement because the user does not always visually recognize the advertisement displayed on the large display only by delivering the advertisement to the large display arranged at a predetermined position.

The present application has been made in view of the above, and an object of the present application is to provide a determination device, a determination method, and a determination program that enable a user to appropriately deliver an advertisement in response to a user's obstruction of movement. To do.

The determination device according to the present application relates to an acquisition unit that acquires the user's position information and the occurrence information about the event that occurs in the area where the user is located, and the movement of the user due to the event based on the occurrence information. When the interference satisfies a predetermined condition that fluctuates according to the user, it is determined that the advertisement distribution regarding the service provider located in the area is performed and the predetermined process regarding the advertisement distribution to the terminal device used by the user is performed. It is characterized by having a decision-making unit to be used.

According to one aspect of the embodiment, there is an effect that it is possible to appropriately deliver an advertisement to the user according to the obstruction of the user's movement.

FIG. 1 is a diagram showing an example of a determination process according to an embodiment. FIG. 2 is a diagram showing a configuration example of a decision system according to an embodiment. FIG. 3 is a diagram showing a configuration example of the determination device according to the embodiment. FIG. 4 is a diagram showing an example of a user information storage unit according to the embodiment. FIG. 5 is a diagram showing an example of the store information storage unit according to the embodiment. FIG. 6 is a diagram showing an example of the advertisement information storage unit according to the embodiment. FIG. 7 is a diagram showing an example of the level information storage unit according to the embodiment. FIG. 8 is a flowchart showing an example of the determination process according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that realizes the function of the determination device.

Hereinafter, the determination device, the determination method, and the embodiment for carrying out the determination program (hereinafter referred to as “the embodiment”) according to the present application will be described in detail with reference to the drawings. It should be noted that this embodiment does not limit the determination device, determination method, and determination program according to the present application. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description is omitted.

(Embodiment)
[1. Decision processing]
First, an example of the determination process according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of a determination process according to an embodiment. In the example of FIG. 1, the determination device 100 determines whether to deliver advertisements or provide information regarding the service provider located in the area in response to the interference related to the movement of the user due to an event occurring in the area where the user is located. Show the case. In FIG. 1, the case where the service provider is a store will be described as an example, but the service provider is not limited to the store, and may be various types of service providers, and is a service format that does not have a store. It may be a mobile store or the like. For example, the service provider may be in a movable form such as a taxi, mobile sales, or a stall. As described above, the service provider may be in any form as long as the service can be provided in a predetermined area. In the example of FIG. 1, a case where the event is a phenomenon related to weather (rainfall) is shown as an example. Specifically, the case where the event is rainfall according to the change of the rain cloud is shown as an example. Note that the obstruction related to the movement of the user here means that the user cannot move due to a factor other than the user himself / herself. For example, the obstruction related to the movement of the user may be to cause the user to stop at the point (area) where the user is located due to an event.

Further, in the example of FIG. 1, the determination device 100 delivers the advertisement when the level of interference related to the movement of the user (hereinafter, also referred to as “interference level”) is equal to or higher than the level required for the delivery of each advertisement. Deliver as an advertisement. Further, in the example of FIG. 1, for simplification of the explanation, as shown in the map information MP1, the case where the area B identified by the area ID “AR12” is set as the target area will be described as an example. Even if the determination device 100 performs determination processing using other areas such as the area A identified by the area ID "AR11" in the map information MP1 and the area C identified by the area ID "AR13" as the target area. Good. The size of the area referred to here may be appropriately set according to the purpose of processing and the like. For example, as the area, areas of various sizes such as "prefecture", "city", "ward", and "town" may be appropriately set.

[Decision support system configuration]
Prior to the description of FIG. 1, the configuration of the determination system 1 will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of a decision system according to an embodiment. As shown in FIG. 2, the decision system 1 includes a terminal device 10, a store device 20, an open data providing device 50, and a decision device 100. The terminal device 10, the store device 20, the open data providing device 50, and the determining device 100 are connected to each other via a predetermined network N so as to be communicable by wire or wirelessly. The decision system 1 shown in FIG. 2 includes a plurality of terminal devices 10, a plurality of terminal devices 10, a plurality of store devices 20, a plurality of open data providing devices 50, and a plurality of devices. The determination device 100 may be included.

The terminal device 10 is an information processing device used by the user. The terminal device 10 is realized by, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. FIG. 1 shows a case where the terminal device 10 is a smartphone. Further, it is assumed that the terminal device 10 has a function such as a GPS (Global Positioning System) sensor and can detect and acquire the position of the user. Further, the terminal device 10 transmits various information and the like to the determination device 100. For example, the terminal device 10 transmits position information and the like regarding the user to the determination device 100. In the following, the terminal device 10 may be referred to as a user. That is, in the following, the user can be read as the terminal device 10.

Further, in the following, the user identified by the user ID "U1" may be referred to as "user U1". As described above, in the following, when "user U * (* is an arbitrary numerical value)" is described, it means that the user is a user identified by the user ID "U *". For example, when "user U5" is described, the user is a user identified by the user ID "U5".

Further, in the example shown in FIG. 1, the terminal device 10 will be described as the terminal device 10-1, 10-5 according to the user who uses the terminal device 10. For example, the terminal device 10-1 is a terminal device 10 used by a user (user U1) identified by the user ID "U1". Further, for example, the terminal device 10-5 is the terminal device 10 used by the user ID "U5" (user U5). Further, in the following, when the terminal devices 10-1 and 10-5 will be described without particular distinction, they will be referred to as the terminal device 10.

The store device 20 is an information processing device used by the manager of each store. For example, the manager of the clothing store APS uses the store device 20 to send and receive information to and from the determination device 100. For example, the manager of the clothing store APS uses the store device 20 to submit an advertisement to the determination device 100 and transmit information indicating the necessity of requesting information. Further, the store device 20 receives information from the determination device 100. For example, the store device 20 is realized by a smartphone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, a PDA, or the like.

The open data providing device 50 is an information processing device that provides open data, which is so-called widely permitted data, to the determination device 100. For example, the open data providing device 50 may be an information processing device managed by each local government and providing the data held by the local government to the outside as open data. Further, for example, the open data providing device 50 may be various information processing devices such as a server managed by the Japan Meteorological Agency. The open data providing device 50 is not limited to the above as long as it is data (information) permitted to be used, such as open data related to traffic such as road information, open data related to weather such as weather and temperature, geospatial information, and disaster prevention. -Various open data such as disaster mitigation information, procurement information, and statistical information may be provided.

Based on the occurrence information, the determination device 100 delivers an advertisement for a service provider located in the area when the obstruction regarding the movement of the user due to an event satisfies a predetermined condition, and delivers the advertisement to the terminal device used by the user. It is an information processing device that determines to perform a predetermined process related to. Further, the determination device 100 delivers an advertisement regarding a service provider located in the area to the user or provides information to a store located in the area when the obstruction regarding the movement of the user due to an event satisfies a predetermined condition. ..

From here, the flow of the determination process will be described with reference to FIG. FIG. 1 is a diagram showing an example of a determination process according to an embodiment. First, the determination device 100 acquires information (occurrence information) regarding the occurrence of an event from the open data providing device 50 (step S11). For example, the determination device 100 acquires the generation information from the open data providing device 50 at the date and time TM11.

In the example of FIG. 1, the determination device 100 acquires the occurrence information about the rainfall in the area in the map information MP1 from the open data providing device 50. For example, the determination device 100 acquires the occurrence information INF11 about the rainfall in the area in the map information MP1 from the open data providing device 50 that provides the weather information. For example, the generation information INF11 acquired by the determination device 100 from the open data providing device 50 includes information indicating that it is raining on the date and time TM11 in the area A in the map information MP1.

Here, the map information MP1 shown in FIG. 1 will be briefly described. The map information MP1 shown in FIG. 1 is a diagram schematically showing changes in the position and the like of the rain cloud NB11 that causes precipitation in the area within the map information MP1. For example, the map information MP1 shows how the rain cloud NB11 changes in the map information MP1. The rain cloud NB11 shown in FIG. 1 conceptually indicates that precipitation is caused in a certain area, and the rain cloud NB11 shown in each area A to C may be individual and any change. It may be a rain cloud that caused. In the example of FIG. 1, it is shown that the rain cloud NB11 is located in the area A and brings rainfall to the area A at the date and time TM11.

Further, for example, the occurrence information INF11 acquired by the determination device 100 from the open data providing device 50 is shown in the movement prediction MV11 on the date and time TM12 n minutes after the date and time TM11 (n is a predetermined number of 1 or more). Includes information indicating that the rain cloud NB11 is expected to bring rainfall in Area B. Further, for example, the occurrence information INF11 acquired by the determination device 100 from the open data providing device 50 is shown in the movement prediction MV12 on the date and time TM13 m minutes after the date and time TM12 (m is a predetermined number of 1 or more). Contains information indicating that the rain cloud NB11 is expected to cause rainfall in Area C. That is, according to the occurrence information INF11 acquired by the determination device 100 from the open data providing device 50, it is expected that the rain cloud NB11 will move from the area B to the area C and the precipitation in the area B will stop at the date and time TM13. Information indicating that is included.

In the example of FIG. 1, the determination device 100 identifies the content of interference in the area B based on the generation information INF11 acquired from the open data providing device 50 as described above (step S12). In the example of FIG. 1, the determination device 100 identifies the content of interference in the area B as shown in the interference information list INFL11. For example, the determination device 100 identifies that the occurrence of the obstruction factor “rain cloud NB11” is predicted in the target area “area B” based on the generation information INF11. Further, for example, the determination device 100 identifies based on the occurrence information INF11 that the rainfall by the rain cloud NB11 generated in the area B starts at the date and time TM12, and the period is predicted to be the period INT12. Further, for example, the determination device 100 specifies that the amount of precipitation caused by the rain cloud NB11 generated in the area B is predicted to be Y mm of precipitation based on the occurrence information INF11. Further, in the example of FIG. 1, since the period INT12 is equal to or greater than a predetermined threshold value, the determination device 100 determines that the condition regarding the period is satisfied. For example, the determination device 100 determines that the period INT12 is 30 minutes and the predetermined threshold value “15 minutes” or more is satisfied. The threshold value for the period may be changed according to the type of interference and the like.

Then, the determination device 100 specifies the type of interference (step S13). For example, the determination device 100 identifies the type of interference that occurs in the area B based on the interference factors in the interference information list INFL11. In the example of FIG. 1, the determination device 100 identifies the type of interference that occurs in the area B based on the type of each interference stored in the level information storage unit 124.

Here, the "interference type ID" shown in the level information storage unit 124 in FIG. 1 indicates identification information for identifying the type of interference. The “type” shown in the level information storage unit 124 in FIG. 1 indicates the specific content of the interference.

For example, in the example of FIG. 1, the interference type identified by the interference type ID “OB11” is the type “weather”. Further, for example, in the example of FIG. 1, it is shown that the interference type identified by the interference type ID "OB12" is the type "traffic". Further, for example, in the example of FIG. 1, it is shown that the interference type identified by the interference type ID “OB13” is the type “matrix”.

In the example of FIG. 1, since the interference generated in the area B is rainfall, the determination device 100 identifies the interference type as the interference type “weather” identified by the interference type ID “OB11”.

Then, the determination device 100 identifies the level of interference (step S14). For example, the determination device 100 identifies the level of interference occurring in the area B based on the contents in the interference information list INFL11. In the example of FIG. 1, the determination device 100 identifies the level of interference that occurs in area B based on the information about the level associated with each interference stored in the level information storage unit 124.

“Level LV1” shown in the level information storage unit 124 in FIG. 1 indicates a condition in which the level of interference is determined to be interference level LV1 in the corresponding interference type. Further, "level LV2" shown in the level information storage unit 124 in FIG. 1 indicates a condition in which the level of interference is determined to be interference level LV2 in the corresponding interference type. For example, in the type "weather", the condition for determining the interference level LV1 is "precipitation X mm or more". Further, for example, in the type "weather", the condition for determining the interference level LV2 is "precipitation amount Y mm or more". It should be noted that the symbols "X" and "Y" here correspond to specific numerical values and are assumed to be "X <Y". For example, "X" may be "20" and "Y" may be "50".

In the example of FIG. 1, as shown in the interference information list INFL11, the determination device 100 specifies that the precipitation level in the area B is the interference level LV2 because the precipitation amount is predicted to be Y mm.

Then, the determination device 100 identifies the target user (step S15). For example, the determination device 100 identifies a user located in the area B, which is the target area. In the example of FIG. 1, the determination device 100 identifies a user located in the area B based on the position information of each user stored in the user information storage unit 121.

The "latest position" shown in the user information storage unit 121 in FIG. 1 indicates the position information last acquired for the corresponding user.

For example, in the example of FIG. 1, for the user U1, the latest position is the position AR12-1 in the area B. For example, in the example of FIG. 1, for the user U2, it is shown that the latest position is the position AR11-1 in the area A. For example, in the example of FIG. 1, for the user U3, the latest position is the position AR13-1 in the area C. For example, in the example of FIG. 1, for the user U4, it is shown that the latest position is the position AR14-1 in the area D. For example, in the example of FIG. 1, for the user U5, the latest position is the position AR12-2 in the area B.

In the example of FIG. 1, the determination device 100 identifies (extracts) user U1, user U5, etc., which are users located in the area B. For example, the determination device 100 does not extract users U2 to U4 and the like located in an area other than the area B.

Then, the determination device 100 determines the advertisement to be delivered to the user located in the area B (step S16). In the example of FIG. 1, the determination device 100 is an advertisement corresponding to the area B in the advertisement information storage unit 123, and is an advertisement (delivery) to be delivered to each of the target users from the advertisement satisfying the specified condition level. Advertisement) is decided. Then, the determination device 100 distributes the determined distribution advertisement to each of the target users (step S17).

Here, the "area" shown in the advertisement information storage unit 123 in FIG. 1 indicates an area to which the advertisement is distributed. The "advertisement ID" shown in the advertisement information storage unit 123 in FIG. 1 indicates identification information for identifying an advertisement. The "advertiser ID" shown in the advertisement information storage unit 123 in FIG. 1 indicates identification information for identifying the advertiser. The “content” shown in the advertisement information storage unit 123 in FIG. 1 indicates the content of the corresponding advertisement. The “condition (level)” shown in the advertisement information storage unit 123 in FIG. 1 indicates a condition used for determining whether or not to deliver the corresponding advertisement.

For example, in the example of FIG. 1, the advertisement whose distribution target area is the area B includes an advertisement identified by the advertisement ID "AD11" (advertisement AD11) and an advertisement identified by the advertisement ID "AD12" (advertisement AD12). Etc. are included.

Further, the advertiser of the advertisement AD11 indicates that the advertiser is identified by the advertiser ID "SP11", that is, the store (cafe CFS) identified by the store ID "SP11". Further, the content of the advertisement AD11 is store guidance, and indicates that the advertisement is delivered when the level is the interference level LV2 or higher.

Further, the advertiser of the advertisement AD12 indicates that it is an advertiser identified by the advertiser ID "SP12", that is, a store (clothes store APS) identified by the store ID "SP12". Further, the content of the advertisement AD12 is a time sale (10% OFF), and indicates that the advertisement is delivered when the level is the interference level LV1 or higher.

As described above, in the example of FIG. 1, the advertisement AD11 is an advertisement to be delivered because the level condition is the interference level LV2 or higher and the rainfall interference level LV2 in the area B satisfies the condition. Further, in the example of FIG. 1, the advertisement AD12 is an advertisement to be delivered because the level condition is the interference level LV1 or higher and the interference level LV2 of the rainfall in the area B satisfies the condition.

Therefore, in the example of FIG. 1, the determination device 100 determines the advertisement to be distributed to each target user from the advertisements AD11 and AD12 targeted for distribution. For example, the determination device 100 determines the advertisement AD11 as the delivery advertisement for the user U1 (step S16-1). Then, the determination device 100 delivers the advertisement AD 11 to the user U1 (step S17-1). In the example of FIG. 1, the determination device 100 delivers the advertisement AD 11 that guides the user to the cafe CFS, which is the store SP 11 located in the area B, to the user U1.

Further, for example, the determination device 100 determines the advertisement AD12 relating to the time sale of the clothing store APS as the distribution advertisement because the user U5 is interested in fashion (step S16-2). For example, the determination device 100 determines the advertisement AD12 indicating that the clothing store APS will hold a time sale of 10% off when it starts to rain for the user U5 as the distribution advertisement. Then, the determination device 100 delivers the advertisement AD12 to the user U5 (step S17-2). In the example of FIG. 1, the determination device 100 delivers to the user U1 an advertisement AD12 announcing that the clothes store APS, which is the store SP12 located in the area B, will hold a time sale on condition of rainfall.

In addition, the determination device 100 identifies a store that requests the provision of information regarding the occurrence of an event (step S18). For example, the determination device 100 identifies as a target store a store that requests information provision indicating that an event that hinders the movement of the user in the area B occurs. In the example of FIG. 1, the determination device 100 identifies a store requesting information provision as a target store among the stores located in the area B in the store information storage unit 122.

Here, the "store ID" shown in the store information storage unit 122 in FIG. 1 indicates identification information for identifying a store. The "name" shown in the store information storage unit 122 in FIG. 1 indicates a specific name of the store. The “category” shown in the store information storage unit 122 in FIG. 1 indicates the category to which the store belongs. Further, the “location” shown in the store information storage unit 122 in FIG. 1 indicates a place where the store is located. “Information provision” shown in the store information storage unit 122 in FIG. 1 indicates whether or not the store requests information provision from the determination device 100.

In the example of FIG. 1, the determination device 100 identifies that the cafe CFS identified by the store ID “SP11” and the clothing store APS identified by the store ID “SP12” are located in the area B. Also, in the example of FIG. 1, the cafe CFS indicates that the information provision is "-", that is, the information provision is not requested. Further, in the example of FIG. 1, the clothing store APS shows that the information provision is "necessary", that is, the information provision is requested.

Therefore, in the example of FIG. 1, the determination device 100 specifies the clothes store APS as the target store. Then, the determination device 100 provides information to the target store (step S19). In the example of FIG. 1, the determination device 100 provides the clothing store APS, which is the target store, with information as shown in the interference information list INFL11. For example, the determination device 100 provides the store device 20 used by the manager or the like of the clothing store APS with information as shown in the interference information list INFL11.

As a result, the manager of the clothing store APS and the like can grasp that it is expected to rain after receiving the information. Therefore, the clothing store APS prepares for a time sale in preparation for rainfall (step S20).

In this way, the determination device 100 identifies how much the user's movement is obstructed in the target area due to rain as an event that obstructs the user's movement. Then, when the obstruction of the movement of the user due to rain in the target area is equal to or higher than a predetermined level, the determination device 100 delivers an appropriate advertisement to the user located in the target area. For example, the determination device 100 determines an advertisement to be delivered to a user located in the target area, targeting an advertisement in which the level of interference due to rain in the target area is equal to or higher than the interference level specified as a condition. .. As a result, the determination device 100 can enable the user to appropriately deliver an advertisement according to the obstruction of the user's movement.

In addition, the determination device 100 provides information indicating the occurrence of the event to the stores located in the area where the event that obstructs the movement of the user occurs and wants to provide the information regarding the occurrence of the obstruction. As a result, the determination device 100 can provide the store with appropriate information in response to the obstruction of the movement of the user located in the area where the store is located. Therefore, the determination device 100 can enable the user to appropriately deliver an advertisement according to the obstruction of the user's movement.

[1-1. Event, level]
In the above-mentioned example, the case where the event is rainfall is shown, but the determination device 100 may target any event as long as it hinders the movement of the user. For example, the determination device 100 may target train delays, queues, and the like. For example, when the obstruction is of the type "traffic" such as train delay, "level LV1" or "level LV2" of the type "traffic" identified by the obstruction type ID "OB12" shown in the level information storage unit 124 in FIG. ] Is used to determine the conditions. For example, in the type "traffic", the condition for determining the interference level LV1 is "10 minutes delay". Further, for example, in the type "traffic", the condition for determining the interference level LV2 is "20 minutes delay". In this way, even if the determination device 100 uses information such as the interference levels LV1 and LV2 regarding time, it determines that the determination device 100 performs a predetermined process when the interference related to the movement of the user due to the event is longer than a predetermined period. Good.

Further, the determination device 100 may change the level according to the user. For example, the determination device 100 may vary the level of interference condition according to the user attribute. For example, when the user group belonging to a male in his thirties moves without worrying about even a little rain, the determination device 100 raises the level of the weather (precipitation) of the male in his thirties higher than other user attributes. The determination may be made.

[2. Configuration of determination device]
Next, the configuration of the determination device 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the determination device 100 according to the embodiment. As shown in FIG. 3, the determination device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The determination device 100 has an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the determination device 100, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. You may.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 110 is connected to the network by wire or wirelessly, and transmits / receives information to / from the terminal device 10.

(Memory unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 3, the storage unit 120 according to the embodiment includes a user information storage unit 121, a store information storage unit 122, an advertisement information storage unit 123, and a level information storage unit 124.

(User information storage unit 121)
The user information storage unit 121 according to the embodiment stores various information about the user. For example, the user information storage unit 121 stores various information related to user attributes. FIG. 4 is a diagram showing an example of a user information storage unit according to the embodiment. The user information storage unit 121 shown in FIG. 4 includes items such as "user ID", "age", "gender", "interest", and "location information". In addition, the "location information" includes items such as the "latest location".

The "user ID" indicates identification information for identifying a user. Further, "age" indicates the age of the user identified by the user ID. The "age" may be a specific age of the user identified by the user ID, such as 35 years old. Further, "gender" indicates the gender of the user identified by the user ID.

Further, "interest" indicates the interest of the user identified by the user ID. That is, "interest" indicates an object that the user identified by the user ID is highly interested in. In the example shown in FIG. 4, one "interest" is shown for each user, but there may be a plurality of "interests".

Further, the "latest position" in the "position information" indicates the last acquired position information for the corresponding user. The "latest position" shows information indicating an abstract code or range such as "AR12-1 (area A)", but information indicating latitude or longitude or "Z town, Y city, X prefecture", etc. It may be information indicating an address. Further, the "location information" may have an item of "acquisition date and time". For example, "acquisition date and time" indicates the date and time when the location information was last acquired.

For example, in the example of FIG. 4, the age of the user (user U1) identified by the user ID "U1" is "20's", and the gender is "male". Also, for example, user U1 indicates that he is interested in the economy. For example, for the user U1, it indicates that the position information indicating that the user U1 is located at the position AR12-1 in the area B is the last acquired position information, that is, the latest position information.

The user information storage unit 121 is not limited to the above, and may store various information depending on the purpose. For example, the user information storage unit 121 may store various information such as demographic attribute information and psychographic attribute information. For example, the user information storage unit 121 may store information such as a name, family structure, and income.

(Store information storage unit 122)
The store information storage unit 122 according to the embodiment stores various information about the store (store). FIG. 5 is a diagram showing an example of the store information storage unit according to the embodiment. For example, the store information storage unit 122 stores information about various stores. The store information storage unit 122 shown in FIG. 5 includes items such as "store ID", "name", "category", "location", and "information provision".

The "store ID" indicates identification information for identifying a store. "Name" indicates a specific name of the store. For example, the "name" may be a combination of a store name such as "○○ Cafe X Town Store" and information indicating the location of the store. The "category" indicates the category to which the store belongs. In addition, "location" indicates the location where the store is located. In addition, although "location" shows information indicating an abstract code or range such as "area B", it is information indicating latitude or longitude or information indicating an address such as "Z town, Y city, X prefecture". There may be. Further, "information provision" indicates whether or not the store requests information provision from the determination device 100.

For example, in the example of FIG. 5, the store identified by the store ID “SP11” has the name “cafe CFS” and indicates that the store belongs to the category “cafe”. Further, for example, in the example of FIG. 5, the cafe CFS is located in the area B, and the information provision is “−”, that is, it indicates that the information provision is not requested. Further, for example, in the example of FIG. 5, the store identified by the store ID "SP12" has the name "clothing store APS" and indicates that the store belongs to the category "fashion". Further, for example, in the example of FIG. 5, the clothing store APS is located in the area B, and indicates that the information provision is "necessary", that is, the information provision is requested.

The store information storage unit 122 is not limited to the above, and may store various information depending on the purpose.

(Advertising information storage unit 123)
The advertisement information storage unit 123 according to the embodiment stores various information related to the advertisement. FIG. 6 is a diagram showing an example of the advertisement information storage unit according to the embodiment. The advertisement information storage unit 123 shown in FIG. 6 has items such as "area", "advertisement ID", "advertiser ID (store ID)", "content", and "condition (level)".

“Area” indicates an area to which the advertisement is delivered. The "advertisement ID" indicates identification information for identifying the advertisement. The "advertiser ID" indicates identification information for identifying the advertiser. In addition, the advertiser may request the agency to carry out the submission work. Therefore, the notation "advertiser" is a concept that includes not only advertisers such as stores but also agencies.

"Content" indicates the content of the corresponding advertisement. The "condition (level)" indicates a condition used for determining whether or not to deliver the corresponding advertisement.

Although not shown in FIG. 6, the advertisement information storage unit 123 has an item of "advertisement content" for storing the advertisement content submitted by the advertiser. For example, the "advertisement content" stores still images, moving images, text data, URLs, file path names indicating their storage locations, and the like.

For example, in the example shown in FIG. 6, the advertisement whose distribution target area is the area B includes an advertisement identified by the advertisement ID "AD11" (advertisement AD11) and an advertisement identified by the advertisement ID "AD12" (advertisement AD12). ) Etc. are included.

Further, the advertiser of the advertisement AD11 indicates that the advertiser is identified by the advertiser ID "SP11", that is, the store (cafe CFS) identified by the store ID "SP11". Further, the content of the advertisement AD11 is store guidance, and indicates that the advertisement is delivered when the level is the interference level LV2 or higher.

Further, the advertiser of the advertisement AD12 indicates that it is an advertiser identified by the advertiser ID "SP12", that is, a store (clothes store APS) identified by the store ID "SP12". Further, the content of the advertisement AD12 is a time sale (10% OFF), and indicates that the advertisement is delivered when the level is the interference level LV1 or higher.

The advertisement information storage unit 123 is not limited to the above, and may store various information depending on the purpose. For example, the advertisement information storage unit 123 may store information related to the bid price and the like. For example, the advertisement information storage unit 123 may store information indicating a product name or a service name to be advertised.

(Level information storage unit 124)
The level information storage unit 124 according to the embodiment stores information regarding the level. For example, the level information storage unit 124 stores information regarding a level used for determining whether or not to deliver an advertisement. FIG. 7 is a diagram showing an example of the level information storage unit according to the embodiment. The level information storage unit 124 shown in FIG. 7 includes items such as "interference type ID", "type", "level LV1", and "level LV2".

The “jamming type ID” indicates identification information for identifying the type of jamming. "Type" indicates the specific content of the disturbance. “Level LV1” indicates a condition in which the level of interference is determined to be interference level LV1 in the corresponding interference type. Further, "level LV2" indicates a condition in which the level of interference is determined to be interference level LV2 in the corresponding interference type.

For example, in the example of FIG. 7, the interference type identified by the interference type ID “OB11” is the type “weather”. For example, in the interference type identified by the interference type ID "OB11", the condition for determining the interference level LV1 is "precipitation X mm or more". Further, for example, in the interference type identified by the interference type ID "OB11", the condition for determining the interference level LV2 is "precipitation amount Y mm or more". It should be noted that the symbols "X" and "Y" here correspond to specific numerical values and are assumed to be "X <Y". For example, "X" may be "20" and "Y" may be "50". The interference type identified by the interference type ID "OB11" shown in FIG. 7 may be a more specific type "rainfall".

For example, in the example of FIG. 7, it is shown that the interference type identified by the interference type ID “OB12” is the type “traffic”. For example, in the interference type identified by the interference type ID "OB12", the condition for determining the interference level LV1 is "10 minutes delay". Further, for example, in the interference type identified by the interference type ID "OB12", the condition for determining the interference level LV2 is "20 minutes delay". The interference type identified by the interference type ID "OB12" shown in FIG. 7 may be a more specific type "train delay".

The level information storage unit 124 is not limited to the above, and various information may be stored depending on the purpose.

(Control unit 130)
Returning to the description of FIG. 3, the control unit 130 is a controller, and is stored in a storage device inside the determination device 100 by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). It is realized by executing various programs (corresponding to an example of a determination program) using the RAM as a work area. Further, the control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3, the control unit 130 includes an acquisition unit 131, a determination unit 132, and a providing unit 133, and realizes or executes the function and operation of information processing described below. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 3, and may be another configuration as long as it is a configuration for performing information processing described later. Further, the connection relationship of each processing unit included in the control unit 130 is not limited to the connection relationship shown in FIG. 3, and may be another connection relationship.

(Acquisition unit 131)
The acquisition unit 131 acquires various information. The acquisition unit 131 acquires various information from an external device such as the terminal device 10. Further, the acquisition unit 131 acquires various information from the storage unit 120. Further, the acquisition unit 131 acquires various information from the user information storage unit 121, the store information storage unit 122, the advertisement information storage unit 123, the level information storage unit 124, and the like. For example, the acquisition unit 131 may acquire various information from the open data providing device 50. For example, the acquisition unit 131 may acquire various information from various external information processing devices such as a server managed by the Japan Meteorological Agency. For example, the acquisition unit 131 may acquire various information from the store device 20.

For example, the acquisition unit 131 acquires the user's position information and the occurrence information regarding the event that occurs in the area where the user is located. For example, the acquisition unit 131 acquires information on the occurrence of meteorological phenomena occurring in the area. For example, the acquisition unit 131 acquires generation information regarding changes in rain clouds in the area.

In the example of FIG. 1, the acquisition unit 131 acquires information (occurrence information) regarding the occurrence of an event from the open data providing device 50. In the example of FIG. 1, the acquisition unit 131 acquires the generation information from the open data providing device 50 at the date and time TM11. In the example of FIG. 1, the acquisition unit 131 acquires the occurrence information about the rainfall in the area in the map information MP1 from the open data providing device 50. In the example of FIG. 1, the acquisition unit 131 acquires the occurrence information INF11 for the rainfall in the area in the map information MP1 from the open data providing device 50 that provides the weather information.

(Decision unit 132)
The determination unit 132 determines various information. For example, the determination unit 132 delivers an advertisement for a service provider located in an area to the terminal device 10 used by the user when the obstruction regarding the movement of the user due to an event satisfies a predetermined condition based on the occurrence information. It is decided to perform the predetermined processing related to the advertisement distribution of. For example, the determination unit 132 determines that, as a predetermined process, an advertisement relating to a service provider located in the area is delivered to the terminal device 10 when the obstruction regarding the movement of the user due to the event satisfies a predetermined condition.

For example, the determination unit 132 determines that information about the event is distributed to the stores located in the area as a predetermined process when the obstruction regarding the movement of the user due to the event satisfies a predetermined condition. For example, the determination unit 132 determines that a predetermined process is performed when the obstruction of the movement of the user due to the event is longer than a predetermined period. For example, the determination unit 132 determines that a predetermined process is performed when the level of interference due to an event is equal to or higher than a predetermined threshold value. For example, the determination unit 132 determines that when the obstruction regarding the movement of the user due to the event satisfies a predetermined condition, a predetermined process regarding the advertisement distribution regarding the store located in the area is performed.

For example, the determination unit 132 determines that a predetermined process is performed when the change of the rain cloud in the area satisfies a predetermined condition. For example, the determination unit 132 determines that if the period from when the rain cloud is located in the area to when the rain cloud is no longer located in the area is longer than a predetermined period, a predetermined process is performed. For example, the determination unit 132 determines that a predetermined process is performed when the probability of occurrence of precipitation or snowfall due to rain clouds in the area is equal to or higher than a predetermined threshold value.

In the example of FIG. 1, the determination unit 132 identifies the content of interference in the area B based on the generation information INF11 acquired from the open data providing device 50. In the example of FIG. 1, the determination unit 132 specifies the content of interference in the area B as shown in the interference information list INFL11. In the example of FIG. 1, the determination unit 132 identifies that the occurrence of the obstruction factor “rain cloud NB 11” is predicted in the target area “area B” based on the generation information INF11. Further, in the example of FIG. 1, the determination unit 132 specifies that the rainfall by the rain cloud NB11 generated in the area B starts at the date and time TM12, and the period is predicted to be the period INT12, based on the occurrence information INF11. .. In the example of FIG. 1, the determination unit 132 specifies that the amount of precipitation due to the rain cloud NB11 generated in the area B is predicted to be Y mm of precipitation based on the occurrence information INF11.

For example, the determination unit 132 identifies the type of interference. In the example of FIG. 1, the determination unit 132 identifies the type of interference that occurs in the area B based on the interference factors in the interference information list INFL11. In the example of FIG. 1, the determination device 100 identifies the type of interference that occurs in the area B based on the type of each interference stored in the level information storage unit 124.

In the example of FIG. 1, since the interference generated in the area B is rainfall, the determination unit 132 specifies the interference type as the interference type “weather” identified by the interference type ID “OB11”.

For example, determination unit 132 identifies the level of interference. In the example of FIG. 1, the determination unit 132 identifies the level of interference occurring in the area B based on the contents in the interference information list INFL11. In the example of FIG. 1, the determination unit 132 identifies the level of interference that occurs in area B based on the information about the level associated with each interference stored in the level information storage unit 124.

In the example of FIG. 1, as shown in the disturbance information list INFL11, the determination unit 132 specifies that the precipitation level is LV2 because the precipitation in the area B is predicted to be Y mm.

For example, the determination unit 132 identifies the target user. In the example of FIG. 1, the determination unit 132 identifies a user located in the area B, which is the target area. In the example of FIG. 1, the determination device 100 identifies a user located in the area B based on the position information of each user stored in the user information storage unit 121.

In the example of FIG. 1, the determination unit 132 identifies (extracts) user U1, user U5, etc., which are users located in the area B. In the example of FIG. 1, the determination unit 132 does not extract the users U2 to U4 and the like located in the area other than the area B.

For example, the decision unit 132 identifies a store that requests information about the occurrence of an event. In the example of FIG. 1, the determination unit 132 specifies as a target store a store that requests information provision indicating that an event that hinders the movement of the user in the area B occurs. In the example of FIG. 1, the determination unit 132 specifies a store that requests information provision as a target store among the stores located in the area B in the store information storage unit 122. In the example of FIG. 1, the determination unit 132 identifies that the cafe CFS identified by the store ID “SP11” and the clothing store APS identified by the store ID “SP12” are located in the area B. In the example of FIG. 1, the determination unit 132 specifies the clothing store APS as the target store.

(Providing Department 133)
The providing unit 133 provides various information to an external device such as the terminal device 10. For example, the providing unit 133 may provide various information determined by the determining unit 132 to the external device.

In the example of FIG. 1, the providing unit 133 provides information to the target store. In the example of FIG. 1, the providing unit 133 provides the clothing store APS, which is the target store, with information as shown in the interference information list INFL11. In the example of FIG. 1, the providing unit 133 provides the store device 20 used by the manager or the like of the clothing store APS with information as shown in the interference information list INFL11.

[3. Flow of prediction model generation process]
Next, the procedure of the decision processing by the decision system 1 according to the embodiment will be described with reference to FIG. FIG. 8 is a flowchart showing an example of the determination process according to the embodiment. Specifically, FIG. 8 is a flowchart showing an example of a determination process including a process related to advertisement distribution.

As shown in FIG. 8, the determination device 100 acquires the occurrence information regarding the occurrence event (step S101). Then, the determination device 100 determines to deliver an advertisement satisfying a predetermined condition to the user located in the target area (step S102). Further, the determination device 100 determines to provide information on the event to the store requesting information among the stores located in the target area (step S103).

Then, the determination device 100 executes the process determined in steps S102 and S103 (step S104). For example, the determination device 100 delivers an advertisement satisfying a predetermined condition to a user located in the target area. Further, for example, the determination device 100 provides information on an event to a store that requests information among the stores located in the target area.

[4. effect〕
As described above, the determination device 100 according to the embodiment has an acquisition unit 131 and a determination unit 132. The acquisition unit 131 acquires the user's position information and the occurrence information regarding the event that occurs in the area where the user is located. Based on the occurrence information, the determination unit 132 is an advertisement distribution regarding a service provider located in the area when the obstruction regarding the movement of the user due to the event satisfies a predetermined condition, and is an advertisement to the terminal device 10 used by the user. It is decided to perform a predetermined process related to distribution.

As a result, the determination device 100 according to the embodiment is an advertisement distribution regarding the service provider located in the area when the obstruction regarding the movement of the user due to the event satisfies a predetermined condition, and is to the terminal device 10 used by the user. By deciding to perform a predetermined process related to advertisement distribution, it is possible to enable the user to appropriately distribute the advertisement according to the obstruction of the user's movement.

Further, in the determination device 100 according to the embodiment, when the obstruction regarding the movement of the user due to an event satisfies a predetermined condition, the determination unit 132 advertises the service provider located in the area to the terminal device 10 as a predetermined process. Decide to deliver.

As a result, the determination device 100 according to the embodiment determines to deliver the advertisement regarding the service provider located in the area to the terminal device 10 when the obstruction regarding the movement of the user due to the event satisfies a predetermined condition. It is possible to enable the user to appropriately deliver an advertisement according to the obstruction of the user's movement.

Further, in the determination device 100 according to the embodiment, when the obstruction regarding the movement of the user due to the event satisfies the predetermined condition, the determination unit 132 distributes the information about the event to the store located in the area as a predetermined process. decide.

As a result, the determination device 100 according to the embodiment determines to the user that the information regarding the event is delivered to the store located in the area when the obstruction regarding the movement of the user due to the event satisfies a predetermined condition. It is possible to enable appropriate advertisement delivery according to the obstruction of the user's movement.

Further, in the determination device 100 according to the embodiment, the determination unit 132 determines to perform a predetermined process when the obstruction regarding the movement of the user due to the event is longer than a predetermined period.

As a result, the determination device 100 according to the embodiment responds to the obstruction of the user's movement to the user by determining that the predetermined processing is performed when the obstruction of the user's movement due to the event is longer than the predetermined period. It is possible to enable appropriate advertisement delivery.

Further, in the determination device 100 according to the embodiment, the determination unit 132 determines to perform a predetermined process when the level of interference due to an event is equal to or higher than a predetermined threshold value.

As a result, the determination device 100 according to the embodiment is appropriate for the user according to the interference of the user's movement by determining that the predetermined processing is performed when the level of interference due to the event is equal to or higher than the predetermined threshold value. It is possible to deliver various advertisements.

Further, in the determination device 100 according to the embodiment, the acquisition unit 131 acquires the occurrence information regarding the meteorological phenomenon that occurs in the area.

As a result, the determination device 100 according to the embodiment can acquire the occurrence information regarding the meteorological phenomenon occurring in the area, thereby enabling the user to appropriately deliver the advertisement according to the obstruction of the user's movement. ..

Further, in the determination device 100 according to the embodiment, the determination unit 132 determines that when the obstruction regarding the movement of the user due to the event satisfies the predetermined condition, the determination unit 132 performs the predetermined processing regarding the advertisement distribution regarding the store located in the area.

As a result, the determination device 100 according to the embodiment determines to the user that if the obstruction regarding the movement of the user due to the event satisfies the predetermined condition, the determination device 100 performs the predetermined process regarding the advertisement distribution regarding the store located in the area. Therefore, it is possible to appropriately deliver advertisements according to the obstruction of the user's movement.

[5. Hardware configuration]
The determination device 100 according to the above-described embodiment is realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 9 is a hardware configuration diagram showing an example of a computer that realizes the function of the determination device. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD (Hard Disk Drive) 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program that depends on the hardware of the computer 1000, and the like.

The HDD 1400 stores a program executed by the CPU 1100, data used by such a program, and the like. The communication interface 1500 receives data from another device via the network N and sends it to the CPU 1100, and transmits the data generated by the CPU 1100 to the other device via the network N.

The CPU 1100 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

For example, when the computer 1000 functions as the determination device 100 according to the embodiment, the CPU 1100 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be acquired from another device via the network N.

Although some of the embodiments and modifications of the present application have been described in detail with reference to the drawings, these are examples and vary based on the knowledge of those skilled in the art, including the embodiments described in the disclosure line of the invention. It is possible to carry out the present invention in another form obtained by modifying or improving the above.

[6. Others]
Further, among the processes described in the above-described embodiments and modifications, all or part of the processes described as being automatically performed may be manually performed, or may be described as being manually performed. It is also possible to automatically perform all or part of the processed processing by a known method. In addition, the processing procedure, specific name, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of the device is functionally or physically distributed / physically in any unit according to various loads and usage conditions. It can be integrated and configured.

In addition, the above-described embodiments and modifications can be appropriately combined as long as the processing contents do not contradict each other.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

1 Decision system 100 Decision device 121 User information storage unit 122 Store information storage unit 123 Advertisement information storage unit 124 Level information storage unit 130 Control unit 131 Acquisition unit 132 Decision unit 133 Provision unit 10 Terminal equipment 20 Store equipment 50 Open data provider N network

Claims (9)

Acquires the location information of the user, the occurrence information regarding the event that occurs in the area where the user is located and is a train delay , and the information indicating the necessity of providing the information of the service provider located in the area. Acquisition department and
Based on the generated information, a disturbance on the movement of the user by the event, when a predetermined condition is satisfied the interference due to the train delay varies depending on the user, the service provider is located in the area As a predetermined process related to advertisement distribution to the terminal device used by the user , among service providers located in the area, to the information providing target service provider that needs to provide the information . A decision unit that decides to distribute information indicating the content of the event , and
A determination device characterized by comprising. The decision unit
When the obstruction of the movement of the user due to the event satisfies a predetermined condition, it is determined that the information distribution regarding the event is performed to the service provider of the information providing target located in the area as the predetermined process. The determination device according to claim 1. The decision unit
When the obstruction of the movement of the user due to the event satisfies a predetermined condition, it is determined that the advertisement for the information providing target service provider located in the area is delivered to the terminal device as the predetermined process. The determination device according to claim 1 or 2 , further comprising. The decision unit
The determination device according to any one of claims 1 to 3 , wherein when the obstruction of the movement of the user due to the event is longer than a predetermined period, it is determined to perform the predetermined process. The decision unit
The determination device according to any one of claims 1 to 4 , wherein when the level related to the interference due to the event is equal to or higher than a predetermined threshold value, it is determined to perform the predetermined processing. The acquisition unit
The determination device according to any one of claims 1 to 5 , wherein the occurrence information regarding a meteorological phenomenon occurring in the area is acquired. The decision unit
Any one of claims 1 to 6 , wherein if the obstruction of the movement of the user due to the event satisfies a predetermined condition, it is determined to perform a predetermined process for delivering an advertisement for a store located in the area. The determination device described in the section. It ’s a decision method that a computer makes.
Acquires the location information of the user, the occurrence information regarding the event that occurs in the area where the user is located and is a train delay , and the information indicating the necessity of providing the information of the service provider located in the area. Acquisition process and
Based on the generated information, a disturbance on the movement of the user by the event, when a predetermined condition is satisfied the interference due to the train delay varies depending on the user, the service provider is located in the area As a predetermined process related to advertisement distribution to the terminal device used by the user , among service providers located in the area, to the information providing target service provider that needs to provide the information . A decision process for deciding to distribute information indicating the content of the event , and
A determination method characterized by including. Acquires the location information of the user, the occurrence information regarding the event that occurs in the area where the user is located and is a train delay , and the information indicating the necessity of providing the information of the service provider located in the area. Acquisition procedure and
Based on the generated information, a disturbance on the movement of the user by the event, when a predetermined condition is satisfied the interference due to the train delay varies depending on the user, the service provider is located in the area As a predetermined process related to advertisement distribution to the terminal device used by the user , among service providers located in the area, to the information providing target service provider that needs to provide the information . The decision procedure for deciding to distribute information indicating the content of the event , and
A decision program characterized by having a computer execute.

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