JP2016170695A - Transmission control program, transmission control method and computer - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide useful advertisement information of shops to users.SOLUTION: There is provided a transmission control program for executing a series of processing, which includes the steps of: acquiring a piece of movement history information of a terminal apparatus; determining an action range of the terminal apparatus based on the acquired movement history information of the terminal apparatus; extracting shops from plural shops which are excluded from the determined action range; and transmitting a piece of advertisement information of the extracted shops to the terminal apparatus.SELECTED DRAWING: Figure 11

Description

  The present invention relates to a transmission control program, a transmission control method, and a computer.

  In a service that distributes advertisement information for stores, the area of the user's work area or the vicinity of the home is identified based on the location information of the user who is the distribution target of the advertisement information, and the advertisement information is based on the identified area of life. Is known (see, for example, Patent Document 1). In such a technique, the living area is specified based on the frequency with which the position information of the user is included in a specific area in a predetermined time segment.

JP 2013-77275 A

  However, if the user's life sphere is identified based on the frequency of the user existing in a specific area, the identified life sphere deviates from the user's time-series behavior pattern, and distribution of appropriate advertising information in accordance with the actual behavior of the user's behavior May be difficult.

  In addition, the user can naturally collect what kind of stores are in his / her living area in the course of action. On the other hand, there are many cases where the user does not know what kind of store is outside the area of his / her own life than the area of his / her life. For this reason, it is expected that the service providing side distributes advertisement information of stores outside the living area to the user rather than advertising information of stores within the user's living area.

  Therefore, in one aspect, an object of the present invention is to provide store advertisement information useful for a user.

  In one proposal, the movement history information of the terminal device is acquired in a computer, the action range of the terminal device is specified based on the acquired movement history information of the terminal device, and the store does not belong to the specified action range Is extracted from a plurality of stores, and a transmission control program is provided that executes processing for transmitting the extracted advertisement information of the stores to the terminal device.

  According to one aspect, it is possible to provide useful store advertisement information to the user.

The figure which shows the example of whole structure of the advertisement delivery system which concerns on one Embodiment. The figure which shows the hardware structural example of the advertisement delivery server which concerns on one Embodiment. The figure which shows the function structural example of the advertisement delivery system which concerns on one Embodiment. The figure which shows an example of the movement history information which concerns on one Embodiment. The figure which shows an example of the living base ranking information which concerns on one Embodiment. The figure which shows an example of the shop information which concerns on one Embodiment. The figure which shows an example of the point information which concerns on one Embodiment. The flowchart of an example of the production process of the living base ranking information which concerns on one Embodiment. The sequence diagram of an example of the delivery process of the shop information which concerns on one Embodiment. The flowchart of an example of the acquisition process of the advertisement information which concerns on one Embodiment. The figure which shows the example of a delivery of advertisement information.

  Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

[System overall configuration]
First, the configuration of an advertisement distribution system 1 according to an embodiment of the present invention will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of the overall configuration of an advertisement distribution system 1 according to the present embodiment. The advertisement distribution system 1 according to the present embodiment includes one or more mobile terminals 10 and an advertisement distribution server 20. The mobile terminal 10 and the advertisement distribution server 20 are connected via a network N such as the Internet.

  The mobile terminal 10 is a terminal used by a user who is a distribution target of advertisement information, such as a mobile phone, a smartphone, a mobile game device, a PDA (Personal Digital Assistant), a mobile music device, or a tablet terminal. It is a portable terminal. The terminal program 11 is installed in the mobile terminal 10, acquires position information (latitude information and longitude information) of the mobile terminal 10 using GPS (Global Positioning System), and uses the acquired position information as an advertisement distribution server 20 to send. Further, the mobile terminal 10 receives the store advertisement information transmitted from the advertisement distribution server 20.

  The terminal program 11 is associated with a user ID that is information for uniquely identifying the user of the mobile terminal 10. For the user ID, for example, a telephone number of the mobile terminal 10, an e-mail address, an arbitrary character string uniquely assigned by the advertisement distribution system 1 may be used.

  The advertisement distribution server 20 is a computer that distributes store advertisement information to the mobile terminal 10 based on the position information received from the user's mobile terminal 10. A server program 21 is installed in the advertisement distribution server 20, and based on a location information history (hereinafter referred to as “movement history information”) received from the mobile terminal 10 every predetermined time, Specify location information (hereinafter referred to as “life base”) that is a base of life for frequently visited facilities. Further, the advertisement distribution server 20 receives the advertisement information of the store outside the user's living area based on the position information received from the user's portable terminal 10 and the user's living area specified from the living base. Send to.

[Hardware configuration]
Next, the hardware configuration of the advertisement distribution server 20 according to the present embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of a hardware configuration of the advertisement distribution server 20 according to the present embodiment. The advertisement distribution server 20 includes an input device 101, a display device 102, an external I / F 103, a RAM (Random Access Memory) 104, a ROM (Read Only Memory) 105, a CPU (Central Processing Unit) 106, a communication I / F 107, and a storage device. 108 and the like are connected to each other by a bus B.

  The input device 101 includes a keyboard, a mouse, and the like, and is used to input each operation signal to the advertisement distribution server 20. The display device 102 includes a display and displays various processing results. The input device 101 and / or the display device 102 may be connected to the advertisement distribution server 20 and used when necessary.

The external I / F 103 is an interface with an external device. The external device includes a recording medium 103a. Thereby, the advertisement delivery server 20 can read and / or write the recording medium 103a via the external I / F 103. The recording medium 103a includes
There are CD (Compact Disk), DVD (Digital Versatile Disk), SD memory card (SD memory card), USB memory (Universal Serial Bus memory) and the like.

  The RAM 104 is a volatile semiconductor memory that temporarily stores programs and data. The ROM 105 is a nonvolatile semiconductor memory that can retain data even when the power is turned off. The CPU 106 is an arithmetic device that reads programs and data from the storage device 108, the ROM 105, and the like onto the RAM 104 and executes various processes.

  The communication I / F 107 is an interface for connecting the advertisement distribution server 20 to the network N. Thereby, the advertisement distribution server 20 can perform data communication with the mobile terminal 10.

  The storage device 108 is a nonvolatile memory that stores programs and data, and is, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), or the like. The stored programs and data include an OS (Operating System), which is basic software for controlling the entire advertisement distribution server 20, and various programs (for example, the server program 21) that operate on the OS.

  The advertisement delivery server 20 according to the present embodiment implements various processes to be described later with the hardware configuration shown in FIG.

  The mobile terminal 10 may have the same hardware as that shown in FIG. However, the mobile terminal 10 includes a GPS receiving device for acquiring position information of the mobile terminal 10 measured by GPS.

[Function configuration]
Next, the functional configuration of the advertisement distribution system 1 according to the present embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a functional configuration example of the advertisement distribution system according to the present embodiment.

  The mobile terminal 10 includes a position information acquisition unit 12 and a communication unit 13. These units are realized by processing that the terminal program 11 installed in the mobile terminal 10 causes the CPU to execute.

  The position information acquisition unit 12 acquires position information indicating the current position of the mobile terminal 10 measured using GPS. The position information acquisition unit 12 repeatedly acquires position information indicating the current position of the mobile terminal 10 every predetermined time (for example, 30 minutes). The position information indicating the current position of the mobile terminal 10 acquired by the position information acquisition unit 12 is accumulated (stored) as movement history information in a movement history information storage unit 31 described later for each user of the mobile terminal 10. .

  The communication unit 13 performs data communication with the advertisement distribution server 20. For example, the communication unit 13 transmits position information indicating the current position of the mobile terminal 10 acquired by the position information acquisition unit 12 to the advertisement distribution server 20. Further, the communication unit 13 receives store advertisement information transmitted from the advertisement distribution server 20.

  The advertisement distribution server 20 includes a movement history information acquisition unit 22, a living base identification unit 23, a continuous stay time calculation unit 24, a continuous average stay days calculation unit 25, a ranking information creation unit 26, a distribution store extraction unit 27, and a living area identification unit. 28 and a communication unit 29. Each of these units is realized by processing executed by the CPU 106 by the server program 21 installed in the advertisement distribution server 20. Further, the advertisement distribution server 20 uses a movement history information storage unit 31, a living base ranking information storage unit 32, a store information storage unit 33, and a point information storage unit 34. Each of these storage units can be realized by using a storage device connected to the storage device 108 or the advertisement distribution server 20 via a network.

  The movement history information acquisition unit 22 acquires the movement history information of the mobile terminal 10 stored in the movement history information storage unit 31.

  The living base specifying unit 23 specifies the user's living base based on the movement history information of the mobile terminal 10 acquired by the movement history information acquiring unit 22.

  The continuous stay time calculation unit 24 calculates the continuous stay time of the living base specified by the living base specifying unit 23. Here, the continuous stay time is a time during which the user stays continuously at a living base (more precisely, within a predetermined range including the living base).

  The continuous average stay days calculating unit 25 calculates the continuous average stay days of the living base specified by the living base specifying unit 23. Here, the continuous average staying days is the average number of days that the user has continuously stayed at the living base (more precisely, within a predetermined range including the living base).

  The ranking information creation unit 26 calculates points from the continuous stay time and the continuous average stay days based on the point information stored in the point information storage unit 34, and creates the life base ranking information. The ranking information creation unit 26 stores the created lifestyle base ranking information in the lifestyle base ranking information storage unit 32. Here, the life base ranking information is information that ranks (ranks) the life bases based on the points calculated from the continuous stay time and the continuous average stay days.

  The distribution store extraction unit 27 stores store information of stores that distribute advertisement information to the mobile terminal 10 based on the life zone specified by the life zone specifying unit 28 when the location information is received from the mobile terminal 10. Extracted from the unit 33. Here, the store information is information related to a store that distributes advertisement information.

  The living area specifying unit 28 specifies the user's living area based on the living base ranking information stored in the living base ranking information storage unit 32. Here, the living area is a range within a predetermined distance (for example, 2 km) from the living base of the top N living bases (N is an integer of 1 or more) of the living base ranking information.

  The communication unit 29 performs data communication with the mobile terminal 10. For example, the communication unit 29 receives position information indicating the current position of the mobile terminal 10 from the mobile terminal 10. In addition, the communication unit 29 transmits advertisement information included in the store information extracted by the distribution store extraction unit 27 to the mobile terminal 10.

  The movement history information storage unit 31 stores, for each user, movement history information indicating a history of position information of the user's portable terminal 10 for each predetermined time. An example of the movement history information according to the present embodiment is shown in FIG. In the example shown in FIG. 4, the movement history information is information in which the history of the location information of the mobile terminal 10 acquired by the location information acquisition unit 12 every 30 minutes is accumulated for 30 days. As described above, the time for which the position information acquisition unit 12 of the mobile terminal 10 acquires the position information is not limited to every 30 minutes, and may be every predetermined time. In the example shown in FIG. 4, the movement history information is a history of position information for 30 days, but is not limited thereto, and may be a history of position information of any predetermined number of days. In this way, the movement history information storage unit 31 stores the position information 42 for each date and time 41, that is, the time series data of the position information of the mobile terminal 10.

  The living base ranking information storage unit 32 stores, for each user, living base ranking information that ranks the living bases based on points calculated from the continuous stay time and the continuous average stay days. An example of the life base ranking information is shown in FIG. In the example shown in FIG. 5, the life base ranking information indicates that, for each user, the life base 52 descends in the descending order of the total points 55 of the continuous stay time points 53 and the continuous average stay days points 54 (that is, in descending order of the total points 55). Are ordered (ranking 51).

  Store information storage part 33 memorizes store information which is information about a store which distributes advertising information. An example of store information is shown in FIG. In the example illustrated in FIG. 6, the store information includes a store ID 61 that uniquely indicates a store that distributes the advertisement information, a store name 62, store location information 63, and an advertisement distribution distance that defines the range in which the store distributes the advertisement information. 64, advertisement information 65 indicating the contents of the advertisement distributed by the store is associated. Here, the store location information 63 and the advertisement distribution distance 64 define a range in which the store distributes the advertisement information (hereinafter referred to as “advertisement distribution range”). That is, the advertisement distribution range is a range from the store position information 63 to the advertisement distribution distance 64 or less. Although the details will be described later, the advertisement distribution server 20 advertises the store when the location information of the user's mobile terminal 10 is within the store's advertisement distribution range and outside the user's life sphere. Information is transmitted to the mobile terminal 10.

  The point information storage unit 34 includes point information of continuous stay time in which points corresponding to the time that the user stays in the living base is continuously defined, and continuous points in which points corresponding to the number of days the user has stayed in the living base are defined. The point information of average stay days is stored. An example of the point information is shown in FIG. In the example shown in FIG. 7, the point information corresponds to the time point 72 corresponding to the time of continuous stay at the living base (continuous stay time 71) and the number of days of continuous stay at the living base (continuous average staying days 73). A number of days point 74 is defined. As described above, the life base ranking information is ordered (ranked) by the sum of the time points 72 corresponding to the continuous stay time 71 and the days points 74 corresponding to the continuous average stay days 73. In addition, the time segment 72 of the continuous stay time 71 and the time point 72 in the said time segment shown in FIG. 7, and the continuous average stay days 73 and the day points 74 in the said continuous average stay days 73 are examples, and are not restricted to these. . That is, the time segment of the continuous stay time 71 and the time point 72 in the time segment, and the continuous average stay days 73 and the day points 74 in the continuous average stay days 73 are arbitrarily set in advance by, for example, an administrator user of the advertisement distribution system 1 Is set to the value of

[Life center ranking information creation process]
Next, the creation process of the life base ranking information according to the present embodiment will be described with reference to FIG. FIG. 8 is a flowchart of an example of the creation process of the life base ranking information according to the present embodiment. Here, the process described with reference to FIG. 8 is performed for each user and every predetermined time (for example, every day). That is, the life base ranking information is recreated for each user, for example, every day, and stored in the life base ranking information storage unit 32. In the following, it is assumed that the life base ranking information is recreated every day.

  First, the life base specifying unit 23 acquires movement history information for the user's day from the movement history information storage unit 31, and specifies one or more life bases of the user based on the acquired movement history information (step S11). If it demonstrates concretely, referring the movement history information shown in FIG. 4, the living base specific | specification part 23 performs the following processes (a)-(d).

  (A) First, the living base specifying unit 23 acquires the movement history information (movement history information of 2014/2/1) of the day from the movement history information shown in FIG. 4 stored in the movement history information storage unit 31. .

(B) Next, the life site specifying unit 23 is within a predetermined distance (for example, 50 m) from the first position information (x ₁ (1), y ₁ (1)) of the acquired movement history information on that day. , (X ₄₈ (1), y ₄₈ (1)) are sequentially determined to include position information (x ₂ (1), y ₂ (1)),. Note that determining in order means determining the position information included in the movement history information in ascending order of time series. Here, among the positional information (x ₂ (1), y ₂ (1)),..., (X ₄₈ (1), y ₄₈ (1)), the positional information (x ₁ (1), y ₁ Position information first determined not to fall within the range within a predetermined distance from (1)) is (x _k (1), y _k (1)) (k is an integer of 2 to 48). .

(C) Subsequently, the living location specifying unit 23 determines the position information (x ₁ (1), y ₁ (1)),..., (X _k-1 (1), y _k-1 (1)). The arithmetic averages X ₁ and Y ₁ are calculated for each of the latitude information and longitude information. The position information (X ₁ , Y ₁ ) is defined as a living base (this is referred to as “first living base” for convenience).

(D) The living site identification unit 23 also applies the remaining position information (x _k (1), y _k (1)),..., (X ₄₈ (1), y ₄₈ (1)) to (b ) To (d) are repeated recursively. That is, for example, position information _{(x k (1), y} k (1)) from the range within the predetermined distance, the position information _{(x k + 1 (1)} , y k + 1 (1)), ···, (x ₄₈ (1) and y ₄₈ (1)) are sequentially determined. Next, the position information first determined not to be included in the range within the predetermined distance is (x _m (1), y _m (1)) (m is an integer from k + 1 to 48). And about each latitude information and longitude information of position information ( _xk (1), _yk (1)), ..., (xm _-1 (1), ym _-1 (1)) The arithmetic averages X ₂ and Y ₂ are calculated, and the position information (X ₂ , Y ₂ ) is defined as the living base (this is referred to as “second living base” for convenience). In this way, one or more living bases of the user (that is, “nth living base” (n is an integer of 1 or more)) are specified.

  Next, the continuous stay time calculation unit 24 calculates the continuous stay time points for each of the one or more living bases identified in step S11 based on the point information of the continuous stay time stored in the point information storage unit 34. Calculate (step S12).

If demonstrating it concretely, the continuous stay time calculation part 24 will calculate a continuous stay time point as follows. First, _{X 1} and _{Y 1} of the first living bases _(X 1, _{Y 1),} respectively _{(x 1 (1), y} 1 (1)), ···, (x k-1 (1), When y _k-1 (1)) and a arithmetic mean of latitude information and longitude _{information, (x k-1 (1} ), and date and time of _{y k-1 (1))} (x 1 (1), The difference between the date and time of y ₁ (1) is calculated. Next, the difference (that is, time) between the calculated date and time of (x _k-1 (1), y _k-1 (1)) and the date and time of (x ₁ (1), y ₁ (1)) is calculated. The corresponding continuous stay time point is acquired from the point information of the continuous stay time in the point information storage unit 34. Thereby, the continuous stay time point of the first living base (X ₁ , Y ₁ ) is calculated. Similarly, for the second living base (X ₂ , Y ₂ ), the date and time of (x _m-1 (1), y _m-1 (1)) and (x _k (1), y _k (1)) And the continuous stay time point corresponding to the difference is obtained from the point information of the continuous stay time in the point information storage unit 34. The same applies to the user's nth living base (n is an integer of 3 or more). In this way, continuous stay time points are calculated for each of the one or more living bases specified in step S11.

  Next, the continuous average stay days calculation unit 25, based on the point information of the continuous average stay days stored in the point information storage unit 34, for each of the one or more living bases identified in step S11. A day point is calculated (step S13).

Specifically, the continuous average stay days calculation unit 25 determines whether or not the first living base (X ₁ , Y ₁ ) is included in the living base ranking information of the previous day. Next, when the first living base (X ₁ , Y ₁ ) is included in the living base ranking information on the previous day, the continuous average staying days calculation unit 25 acquires the continuous average staying days points on the previous day. Subsequently, the continuous average stay days calculating unit 25 updates the continuous average stay days based on the continuous average stay days corresponding to the acquired continuous average stay days point. Then, the continuous average stay days calculation unit 25 acquires the continuous average stay days points corresponding to the updated continuous average stay days from the point information storage unit 34. In addition, the continuous average stay days calculation part 25 rounds off, for example, when the number of decimal places is contained in the updated continuous average stay days so that a continuous average stay days may become an integer value. On the other hand, when the first living base (X ₁ , Y ₁ ) is not included in the living base ranking information of the previous day, the continuous average staying number calculating unit 25 continues the continuous average stay corresponding to the continuous average staying day “1 day”. The number of days point is acquired from the point information storage unit 34.

Similarly, for the second living base (X ₂ , Y ₂ ), the continuous average stay days calculation unit 25, when the second living base is included in the living base ranking information of the previous day, the continuous average stay days points of the previous day. The continuous average stay days are updated based on the continuous average stay days corresponding to. Then, the continuous average stay days calculation unit 25 acquires the continuous average stay days points corresponding to the updated continuous average stay days from the point information storage unit 34. On the other hand, when the second living base is not included in the living base ranking information of the previous day, the continuous average staying day calculation unit 25 stores the continuous average staying days points corresponding to the continuous average staying days “1 day” as point information storage. Obtained from the unit 34. The same applies to the user's nth base (n is an integer of 3 or more). In this way, the continuous average stay days points are calculated for each of the one or more living bases specified in step S11.

In step S13, the continuous average stay days calculation unit 25 considers an error when determining whether or not the n-th living base (n is an integer of 1 or more) is included in the living base ranking information on the previous day. May be. That is, for example, when a living base in the vicinity of the first living base (X ₁ , Y ₁ ) is included in the living base ranking information on the previous day, the continuous average staying days points of the living base in the vicinity are acquired. Good.

  Subsequently, the ranking information creating unit 26 calculates the total points of the calculated continuous stay time points and continuous average stay days points for each of the one or more living bases specified in Step S11 (Step S14). That is, the ranking information creation unit 26 weights the living bases with the total points of the continuous staying time points and the continuous average staying days points for each of the one or more living bases identified in step S11. It shows that the time or the number of days staying in the living base continuously is so large that the weight of a living base is large.

  Finally, the ranking information creating unit 26 orders (ranking) one or more living base information in descending order of the total points calculated in step S14, and creates the living base ranking information. At this time, the ranking information creation unit 26 adds a living base different from the n-th living base (n is an integer of 1 or more) among the living bases included in the living base ranking information on the previous day to the living base ranking information. , Ordering (ranking). And the ranking information creation part 26 memorize | stores the created living base ranking information in the living base ranking information storage part 32 (step S15). The ranking information creating unit 26 overwrites and stores the previous day's daily life base ranking information already stored in the daily life base ranking information storage unit 32. That is, the ranking information creation unit 26 recreates the life base ranking information.

In addition, in said step S13, although the continuous average stay days calculation part 25 calculated the continuous average stay days point based on the continuous average stay days, it is not restricted to this, For example, it replaces with the continuous average stay days mentioned above, You may perform point calculation based on the continuous stay days. That is, the continuous average stay days calculation unit 25 determines whether or not the first living base (X ₁ , Y ₁ ) is included in the living base ranking information of the previous day. Next, when the first living base (X ₁ , Y ₁ ) is included in the living base ranking information on the previous day, the continuous average stay days calculation unit 25 includes the first living base included in the living base ranking information on the previous day. Points based on the continuous stay days of (X ₁ , Y ₁ ) (continuous stay days points) are acquired. Then, the continuous average stay days calculation unit 25 calculates the continuous stay days points based on the continuous average stay days obtained by adding 1 to the continuous average stay days corresponding to the acquired continuous stay days points. Acquired from the point information of days. On the other hand, when the first living base (X ₁ , Y ₁ ) is not included in the living base ranking information of the previous day, the continuous average staying number calculation unit 25 continues the continuous stay corresponding to “less than one day”. Get points. Thereby, the number of consecutive stay days of the first living base (X ₁ , Y ₁ ) is calculated. Similarly, for the second living base (X ₂ , Y ₂ ), when the second living base is included in the living base ranking information of the previous day, the continuous average stay days calculation unit 25 uses the living base ranking information of the previous day. A continuous staying day point corresponding to the continuous staying day obtained by adding 1 to the continuous staying day of the second living base included is acquired. On the other hand, when the second living base (X ₂ , Y ₂ ) is not included in the living base ranking information of the previous day, the continuous average staying number calculation unit 25 continues the continuous staying days corresponding to “less than one day”. Get points. The same applies to the user's nth base (n is an integer of 3 or more). However, when the points are calculated based on the number of consecutive stays in this way, in step S15, among the living bases included in the living base ranking information on the previous day, a living base different from the nth living base is used as the living base ranking information. No additional processing is performed.

  As described above, the life base ranking information as shown in FIG. 5 is created. Thus, in the advertisement distribution server 20 according to the present embodiment, the living bases are ordered based on the time that the user stays continuously and the number of days that the user stays continuously. Therefore, the living base where the user stayed for a long time and the living base where the user stayed continuously for a plurality of days are ranked high, while the living base where the user stayed for a short period of time or stayed continuously for a plurality of days. Living bases that do not have a lower ranking. For this reason, for example, living bases indicating homes and workplaces are ranked higher, while living bases indicating restaurants, shopping malls, etc. that have gone out on business trips are ranked lower.

[Advertising information distribution process]
Next, advertisement information distribution processing according to the present embodiment will be described with reference to FIG. FIG. 9 is a sequence diagram of an example of the advertisement information distribution process according to the present embodiment.

  First, the location information acquisition unit 12 of the user's mobile terminal 10 acquires location information indicating the current location of the mobile terminal 10 (step S21). Next, the communication unit 13 of the mobile terminal 10 sends the location information acquired by the location information acquisition unit 12 and the user ID associated with the terminal program 11 installed in the mobile terminal 10 to the advertisement distribution server 20. (Step S22).

  Subsequently, when the communication unit 29 of the advertisement distribution server 20 receives the position information and the user ID from the mobile terminal 10, it performs store information acquisition processing (step S23). Here, the store information acquisition process described later is a process of acquiring store information of a store that transmits advertisement information to the mobile terminal 10 based on the received position information and user ID. At this time, the server program 21 of the advertisement distribution server 20 stores the movement history information in which the position information received from the mobile terminal 10, the received date and time, and the received user ID are associated with each other in the movement history information storage unit 31. Remember me.

  Finally, when the store information is acquired in the store information acquisition process of step S23, the communication unit 29 of the advertisement distribution server 20 is acquired for the mobile terminal 10 that is the transmission source of the received location information and user ID. The advertisement information included in the stored store information is transmitted (step S24). Thereby, the advertisement information of the store is distributed to the mobile terminal 10. On the other hand, when the store information is not acquired in the store information acquisition process in step S23, the advertisement information is not distributed to the mobile terminal 10 that has transmitted the received location information and user ID.

[Store information acquisition processing]
Next, store information acquisition processing according to the present embodiment will be described with reference to FIG. FIG. 10 is a flowchart of an example of store information acquisition processing according to the present embodiment.

  First, the distribution store extraction unit 27 extracts store information of stores including the position information received from the mobile terminal 10 in the advertisement distribution range from the store information storage unit 33 (step S31). For example, in the example illustrated in FIG. 11, the advertisement information of stores A and B including the current position P1 of the mobile terminal 10 in the advertisement distribution range is extracted from the store information storage unit 33.

  Returning to FIG. 10, the distribution store extraction unit 27 determines whether or not one or more store information is extracted in step S31 (step S32). If one or more pieces of store information are extracted by the distribution store extraction unit 27, the process proceeds to step S33. If no store information is extracted, the process is terminated. If the store information is not extracted by the distribution store extraction unit 27, the advertisement information is not distributed to the mobile terminal 10 that is the transmission source of the received position information and user ID.

  Next, when one or more pieces of store information are extracted by the distribution store extraction unit 27 in step S31, the life zone specifying unit 28 stores the received user ID and the life stored in the life base ranking information storage unit 32. Based on the base ranking information, the user's living area is specified (step S33). That is, the living area specifying unit 28 extracts the top N living bases (for example, the top two or three) living base ranking information corresponding to the received user ID, and a predetermined distance from the extracted living bases. A range within (for example, 2 km) is specified as a living area. For example, in the example shown in FIG. 11, the living base ranking information is identified as the living area of the user who owns the mobile terminal 10 within 2 km from the first and second living bases Q1 and Q2. In the example illustrated in FIG. 11, it is assumed that the position information indicated by “x” is the movement history information of the user, and the living base is specified from the movement history information.

  In this way, the living area specifying unit 28 specifies a range within a predetermined distance from the top N living places in the living place ranking information as the living area. As a result, for example, the living area where the continuous stay time of the user such as the home or work place is long or the life base where the continuous average stay time is long can be identified as the living area, and the life in accordance with the actual behavior of the user A zone is identified. The living area specifying unit 28 extracts the living bases whose total points are equal to or more than a predetermined value in the living base ranking information corresponding to the received user ID, and sets the range within a predetermined distance from the extracted living bases to the living area May be specified.

  Finally, the distribution store extraction unit 27 extracts store information of stores that are not included in the living sphere in which the location information of the stores included in the store information is included in the store information extracted in step S31. (Step S34). In other words, the distribution store extraction unit 27 extracts store information of stores outside the living area specified in step S33 from the store information extracted in step S31. For example, in the example illustrated in FIG. 11, the store information of the store B is extracted, while the store information of the store A is not extracted. In other words, the advertising information of the store B is transmitted to the mobile terminal 10, while the advertising information of the store A is not transmitted. Thereby, the store information of the store that transmits the advertisement information 65 to the mobile terminal 10 that is the transmission source of the received position information and user ID is extracted by the distribution store extraction unit 27.

  In addition, in step S33 of FIG. 10, when the number of living bases included in the living base ranking information corresponding to the received user ID is less than N, the living area specifying unit 28 may end the process. Therefore, the advertisement information is distributed to the mobile terminal 10 from a store that includes the position information received from the mobile terminal 10 in the advertisement distribution range. Thereby, for example, advertisement information of stores near the home or the workplace (that is, the living area) can be distributed to a user (for example, an elderly person) who hardly moves other than the home or the workplace.

  Further, in step S34, the distribution store extraction unit 27 includes the store information extracted in step S31 in which the store location information included in the store information is located in the living area specified in step S33 and the vicinity of the living area. Store information of stores that are not included may be extracted. In other words, the distribution store extraction unit 27 stores store information of stores that are outside the living area specified in step S33 and are at a predetermined distance (for example, 100 m) or more from the outer edge of the living area. , It may be extracted from the store information extracted in step S31. This is because the user may be able to naturally collect what stores are in the vicinity of the living area in the course of action.

  Moreover, although this embodiment demonstrated the case where the acquisition process of store information shown in FIG. 10 was performed when the advertisement delivery server 20 received the positional information on the portable terminal 10, it is not restricted to this. . That is, the store information acquisition process shown in FIG. 10 may be executed manually after extracting store information of a store to which advertisement information is transmitted, for example, by the owner of each store. In this case, in step S34 of FIG. 10, for example, store information of stores that are not included in the living area of the user of the mobile terminal 10 to which the advertisement information is to be transmitted among the store information extracted by the owner of each store or the like. Extract it.

  As described above, according to the advertisement distribution system 1 according to the present embodiment, the living base is specified from the movement history information of the user. And a living base is ranked based on the time when the user stayed continuously, and the number of days which stayed continuously. Therefore, for example, a living base indicating a place where a user stays for a long time and a plurality of days such as a home or a work place is ranked high, while a restaurant or a hotel that went out on a business trip, for example, Living bases indicating shopping malls and the like are ranked lower.

  Further, according to the advertisement distribution system 1 according to the present embodiment, the user's living area is specified from the top N living bases among the ranked living bases. Therefore, for example, an appropriate living area that matches the actual behavior of the user, such as around the home or around the workplace, is specified.

  Further, according to the advertisement distribution system 1 according to the present embodiment, the advertisement information of the store outside the specified living area is distributed to the user's mobile terminal 10. Therefore, from the user's side, it is useful because it is possible to receive the advertisement information of the store that is considered to have few opportunities to know in the normal course of action. On the other hand, from the advertisement distribution side, there may be a case where a high advertising effect can be expected by providing useful advertising information to the user.

  As mentioned above, although the Example of this invention was explained in full detail, this invention is not limited to such specific embodiment, In the range of the summary of this invention described in the claim, various deformation | transformation・ Change is possible.

Regarding the above description, the following items are further disclosed.
(Appendix 1)
On the computer,
Get terminal device movement history,
Based on the acquired movement history of the terminal device, the action range of the terminal device is identified,
Stores that do not belong to the identified action range are extracted from a plurality of stores,
Transmitting the extracted advertisement information of the store to the terminal device;
A transmission control program characterized by causing processing to be executed.
(Appendix 2)
The process of specifying the action range is:
Based on the continuous location information included in the acquired movement history of the terminal device, specify a living base,
Specify the range of action of the terminal device within a predetermined distance from the identified living base,
The transmission control program according to attachment 1.
(Appendix 3)
The process of specifying the action range is:
Calculate the continuous stay time and continuous average stay days of the identified living base,
Based on the calculated continuous stay time and continuous average stay days, the weight of the living base is calculated,
A living base having the calculated weight equal to or greater than a predetermined value is identified;
The transmission control program according to attachment 2.
(Appendix 4)
Get terminal device movement history,
Based on the acquired movement history of the terminal device, the action range of the terminal device is identified,
Stores that do not belong to the identified action range are extracted from a plurality of stores,
Transmitting the extracted advertisement information of the store to the terminal device;
A transmission control method in which processing is executed by a computer.
(Appendix 5)
The process of specifying the action range is:
Based on the continuous location information included in the acquired movement history of the terminal device, specify a living base,
Specify the range of action of the terminal device within a predetermined distance from the identified living base,
The transmission control method according to attachment 4.
(Appendix 6)
The process of specifying the action range is:
Calculate the continuous stay time and continuous average stay days of the identified living base,
Based on the calculated continuous stay time and continuous average stay days, the weight of the living base is calculated,
A living base having the calculated weight equal to or greater than a predetermined value is identified;
The transmission control method according to appendix 5.
(Appendix 7)
An acquisition unit for acquiring a movement history of the terminal device;
Based on the acquired movement history of the terminal device, a specifying unit that specifies an action range of the terminal device;
An extractor that extracts stores that do not belong to the identified action range from a plurality of stores;
A transmission unit that transmits the extracted advertisement information of the store to the terminal device;
A computer comprising:
(Appendix 8)
The specific part is:
Based on the continuous location information included in the acquired movement history of the terminal device, specify a living base,
Specify the range of action of the terminal device within a predetermined distance from the identified living base,
The computer according to appendix 7.
(Appendix 9)
The process of specifying the action range is:
Calculate the continuous stay time and continuous average stay days of the identified living base,
Based on the calculated continuous stay time and continuous average stay days, the weight of the living base is calculated,
A living base having the calculated weight equal to or greater than a predetermined value is identified;
The computer according to appendix 8.

1: Advertisement distribution system 10: Mobile terminal 11: Terminal program 12: Location information acquisition unit 13: Communication unit 20: Server program 21: Server program 22: Movement history information acquisition unit 23: Living base identification unit 24: Continuous stay time calculation Unit 25: Continuous average stay days calculation unit 26: Ranking information creation unit 27: Distribution store extraction unit 28: Living area identification unit 29: Communication unit 31: Movement history information storage unit 32: Living base ranking information storage unit 33: Store information Storage unit 34: Point information storage unit

Claims (5)

On the computer,
Get terminal device movement history information,
Based on the acquired movement history information of the terminal device, identify the action range of the terminal device,
Stores that do not belong to the identified action range are extracted from a plurality of stores,
Transmitting the extracted advertisement information of the store to the terminal device;
A transmission control program characterized by causing processing to be executed. The process of specifying the action range is:
Based on the continuous location information included in the acquired movement history of the terminal device, specify a living base,
Specify the range of action of the terminal device within a predetermined distance from the identified living base,
The transmission control program according to claim 1. The process of specifying the action range is:
Calculate the continuous stay time and continuous average stay days of the identified living base,
Based on the calculated continuous stay time and continuous average stay days, the weight of the living base is calculated,
A living base having the calculated weight equal to or greater than a predetermined value is identified;
The transmission control program according to claim 2. Get terminal device movement history information,
Based on the acquired movement history information of the terminal device, identify the action range of the terminal device,
Stores that do not belong to the identified action range are extracted from a plurality of stores,
Transmitting the extracted advertisement information of the store to the terminal device;
A transmission control method in which processing is executed by a computer. An acquisition unit for acquiring movement history information of the terminal device;
Based on the acquired movement history information of the terminal device, a specifying unit for specifying an action range of the terminal device;
An extractor that extracts stores that do not belong to the identified action range from a plurality of stores;
A transmission unit that transmits the extracted advertisement information of the store to the terminal device;
A computer comprising:

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