JP2018046528A - Distribution device, distribution method, and distribution program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide information useful for users.SOLUTION: A distribution device includes an acquisition unit, an extraction unit, and a distribution unit. The acquisition unit obtains location information indicating the current location of a user. The extraction unit extracts a first content that is a content related to the location information obtained by the acquisition unit and related to a current time. The distribution unit distributes the first content extracted by the extraction unit, to the user.SELECTED DRAWING: Figure 3

Description

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

  In recent years, with the rapid spread of the Internet, information provision through the Internet has been actively performed. For example, a technique has been proposed in which content is determined based on user location information and the determined content is distributed to the user's terminal device.

JP 2008-252692 A

  However, the above-described conventional technology cannot always provide useful information for the user. For example, in the above-described conventional technology, the content distribution server receives the current position information of the wireless terminal used by the user, and transmits the content corresponding to the received current position information to the wireless terminal. It is not always possible to provide useful information for the user simply by using.

  The present application has been made in view of the above, and an object thereof is to provide a distribution device, a distribution method, and a distribution program capable of providing information useful to a user.

  The distribution apparatus according to the present application includes an acquisition unit that acquires position information indicating a user's current position, and first content that is content related to the position information acquired by the acquisition unit and related to the current time And a distribution unit for distributing the first content extracted by the extraction unit to the user.

  According to one aspect of the embodiment, there is an effect that information useful for the user can be provided.

FIG. 1 is a diagram illustrating an example of a distribution process according to the first embodiment. FIG. 2 is a diagram illustrating an example of a web page generated from time content and area content. FIG. 3 is a diagram illustrating a configuration example of the distribution apparatus according to the first embodiment. FIG. 4 is a diagram illustrating an example of a search query storage unit according to the first embodiment. FIG. 5 is a diagram illustrating an example of the time content storage unit according to the first embodiment. FIG. 6 is a diagram illustrating an example of the area content storage unit according to the first embodiment. FIG. 7 is a flowchart illustrating a distribution processing procedure performed by the distribution apparatus according to the first embodiment. FIG. 8 is a diagram illustrating a configuration example of a distribution apparatus according to the second embodiment. FIG. 9 is a diagram (1) illustrating an example of area content according to the surrounding situation. FIG. 10 is a diagram (2) illustrating an example of the area content according to the surrounding situation. FIG. 11 is an explanatory diagram for explaining the content distributed when the time content is selected. FIG. 12 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the distribution apparatus.

  Hereinafter, a mode for carrying out a distribution device, a distribution method, and a distribution program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the distribution device, distribution method, and distribution program according to the present application are not limited by this embodiment.

(First embodiment)
[1. (Delivery process)
First, an example of distribution processing according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of a distribution process according to the first embodiment. The distribution process according to the first embodiment is performed by the distribution apparatus 100 shown in FIG.

  The distribution system 1 illustrated in FIG. 1 includes a terminal device 10 and a distribution device 100. The terminal device 10 and the distribution device 100 are connected to be communicable by wire or wireless via a network. The distribution system 1 illustrated in FIG. 1 may include a plurality of terminal devices 10 and a plurality of distribution devices 100.

  First, the terminal device 10 is a terminal device used by a user. For example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, or a PDA (Personal Digital Assistant). Etc.

  Further, it is assumed that a predetermined application is installed in the terminal device 10 in advance. Hereinafter, the predetermined application is referred to as “content application”. When the content application is installed, the terminal device 10 transmits a content request to the distribution device 100 described later according to the control of the content application. Thereby, the terminal device 10 displays the various contents distributed by the distribution device 100 on the display screen.

  The distribution device 100 extracts content related to the current position of the user and related to the current time, and distributes the extracted content to the terminal device 10. Specifically, when receiving a content request from the terminal device 10, the distribution device 100 acquires position information indicating the current position of the terminal device 10. Then, the distribution apparatus 100 extracts area content (an example of the first content) that is content related to a position within a predetermined range from the position indicated by the acquired position information and content related to the current time.

  In addition, the distribution apparatus 100 extracts time content (an example of second content) that is content that is displayed on the terminal device 10 together with area content and that is content related to the current time. The distribution device 100 generates one web page by combining the extracted time content and area content, and distributes the generated web page to the terminal device 10. In the present embodiment, the “current position of the user” and the “current position of the terminal device 10” may be used separately, but these are synonymous. Hereinafter, the distribution process performed by the distribution apparatus 100 will be described in more detail.

  First, various storage units included in the distribution apparatus 100 will be described. First, the search query storage unit 121 will be described. The search query storage unit 121 is a storage unit that stores a search query (search query log) that has been used (input) so far on a predetermined website. FIG. 1 shows an example in which the search query storage unit 121 stores the number of times each search query is used for each date as a search query log. For example, the search query storage unit 121 illustrated in FIG. 1 illustrates an example in which the search query “pool” is used “5,050 times” on a predetermined website on “August 01, 2015”.

  In the example of FIG. 1, a search query log focusing on “August 2015” is shown for convenience of explanation, but the search query storage unit 121 is earlier than 2015 (2014, 2013,...). The search query log may also be stored.

  Next, the time content storage unit 122 will be described. The time content storage unit 122 is, for example, a storage unit that stores an article that features an event representative of the season that occurs every season as the time content. As an example, content that summarizes articles such as “Hydrangea highlights in various parts of Japan” and “Autumn leaves drive special feature” is time content. Since the content of such article contents does not change significantly every year, there are many articles that can be reused at the time corresponding to each year (for example, “June for“ Hydrangea highlights in various parts of Japan ””).

  The time content is content that occupies the upper half of a web page W1 to be described later, and is, for example, an abstract concept content for increasing a vague desire to go out, such as “I want to go somewhere”.

  Then, as shown in FIG. 1, the “feature keyword” and the “time content” are stored in the time content storage unit 122 in association with each other. The “characteristic keyword” is a keyword that characterizes the time content, and is related to the time associated with the content indicated by the area content. Such time is, for example, a monthly history, a season, a period during which a predetermined event is performed, a coupon usable period, and the like.

  For example, if the time content C11 is a content in which “special features of hydrangea highlights in various parts of Japan” are collected as an article, the feature keyword “hydrangea” is extracted from such time content C18, for example, as shown in FIG. Is done. Since “hydrangea” is a keyword representing “June”, it can be said that it is a keyword related to time. In the present embodiment, when the distribution apparatus 100 accepts submission of time content, it is assumed that the time content is analyzed and feature keywords are extracted.

  However, for example, the distribution apparatus 100 may uniquely identify the characteristic keyword by analyzing the time content. Further, the distribution apparatus 100 may instruct the uploader who submits the time content to specify the feature keyword. Further, the feature keyword may be manually extracted by the administrator of the distribution apparatus 100.

  Next, the area content storage unit 123 will be described. The area content storage unit 123 stores, for example, area content that is content that is introduced or proposed with a specific matter as a pinpoint and that is to be matched with the user's current position and current time. As an example, store introduction articles such as “French restaurant popular in Roppongi XX” are area contents.

  The area content is content that occupies the lower half of the web page W1, which will be described later, and presents more specific information (for example, nearby destination information) to the user whose motivation to go out is enhanced by the time content. This is a specific content for the purpose.

  Then, as shown in FIG. 1, “location information”, “corresponding time”, “feature keyword”, and “area content” are stored in the area content storage unit 123 in association with each other. “Position information” indicates position information related to the corresponding “area content”. For example, “position information” indicates the location of a facility introduced by the corresponding “area content” or position information around the facility. For example, if the area content C33 is an article introducing “a fireworks display venue that can be reached immediately from Roppongi”, the “location” and “Roppongi” of the fireworks display site are stored as position information.

  The “corresponding time” indicates a time suitable for the content of the corresponding “area content”. As described above, since the area content C33 is a content in which articles related to the fireworks display are gathered, for example, “August” is stored as the “corresponding time” in the area content C33. Note that the time stored as the corresponding time may be a season or a period other than the monthly history. For example, the area content includes a store introduction including a coupon that can be used for a predetermined period. In such a case, the predetermined period may be stored as “corresponding time”.

  In the present embodiment, it is assumed that the distribution device 100 extracts the corresponding time from the area content by analyzing the area content, or uniquely identifies the corresponding time from the contents of the area content. However, for example, the correspondence time may be extracted or specified manually by the administrator of the distribution apparatus 100.

  The “characteristic keyword” is a keyword that characterizes the area content, and is a keyword related to the time associated with the content indicated by the area content. Such time is, for example, a monthly history, a season, a period during which a predetermined event is performed, a coupon usable period, and the like.

  As described above, since the area content C31 is a content in which articles related to the fireworks display are gathered, the feature keyword “fireworks display” is extracted from such time content C31, for example, as shown in FIG. “Fireworks display” is a keyword representing “August” and can be said to be a keyword related to time.

  In the present embodiment, it is assumed that the distribution apparatus 100 extracts the feature keyword from the area content by analyzing the area content, or uniquely identifies the feature keyword from the contents of the area content. However, for example, the feature keyword may be extracted or specified manually by the administrator of the distribution apparatus 100.

  Now, each storage unit included in the distribution apparatus 100 has been described with reference to FIG. Next, the flow of distribution processing will be described using an example. First, it is assumed that the user U1 activates the content application using the terminal device 10. In such a case, the terminal apparatus 100 transmits a content request including the current position information “Roppongi” as position information indicating the current position of the own apparatus (the current position of the user U1) to the distribution apparatus 100 (step S1). Thereby, the distribution apparatus 100 acquires the current position information of the terminal device 10 together with the content request from the terminal device 10. Note that the terminal device 100 acquires the current position using, for example, a GPS function.

  Then, when the distribution apparatus 100 acquires a content request including the current position information, the distribution apparatus 100 refers to the search query storage unit 121 and identifies a matter that occurred in the past at the same time as the current time. Here, for example, it is considered that there is a tendency for the user to use a search query related to a matter that is currently a topic (such as various events) or a current time. Therefore, a matter that occurred in the past at the same time as the current time can be interpreted as a search query used in the past at the same time as the current time. Therefore, the distribution apparatus 100 specifies a search query used in the past at the same time as the current time. Specifically, the distribution apparatus 100 refers to the search query storage unit 121 and identifies a search query that was used in the past at the same time as the current time and is related to the current time (characterizes the current time). (Step S2).

  In addition, the distribution apparatus 100 narrows down a predetermined number of search queries based on the usage frequency of each specified search query (step S3). For example, the distribution device 100 narrows down search queries that are used most frequently from the specified search queries. Steps S2 and S3 will be described using an example.

  For example, it is assumed that the distribution apparatus 100 has acquired the content request from the terminal apparatus 100 on “August 10, 2016”. In such a case, the distribution apparatus 100 refers to the search query storage unit 121, and first, the search query used in “August 2015 (for example, from August 1 to August 31)” that is one year ago. And the search query characterizing the time of “August” is specified. For example, it is assumed that the distribution device 100 specifies “pool”, “beer garden”, “fireworks display”, and “insect repellent” as a search query related to such a period. Next, the distribution apparatus 100 narrows down the search query based on the use frequency in “August” of each of these specified search queries, that is, “the number of uses”.

  Here, the top search queries that are used most frequently in the search queries “pool”, “beer garden”, “fireworks display”, and “insect repellent” are “pool”, “beer garden”, and “fireworks display”. Shall be. In such a case, the distribution apparatus 100 has the top three search queries “pool” that started to be used in “August” among the search queries “pool”, “beer garden”, “fireworks display”, and “insect repellent”. , Refine the search query by extracting “beer garden” and “fireworks display”. Note that the number of search queries narrowed down in this way is not limited to three. For example, the distribution apparatus 100 may extract one search query, specifically, a search query that is used most frequently.

  Moreover, although the distribution apparatus 100 showed the example which narrows down a search query from the performance of the search query of one year ago, for example, the distribution apparatus 100 narrows down the search query from the performance of the search query for the past several years. You may go.

  Thus, it can be said that a search query related to the current time period and having a higher use frequency indicates a matter of interest to many users in the current time period. In addition, narrowing down the past search query results is more accurate than the current search query (August 2016), which has not been completed, and more accurately related to the current time and This is because higher search queries can be narrowed down.

  Next, the distribution apparatus 100 refers to the time content storage unit 122 and extracts time content related to the current time (step S4). Specifically, the distribution apparatus 100 extracts one time content to which a feature keyword matching at least one of the search queries “pool”, “beer garden”, and “fireworks display” narrowed down in step S3 is associated. To do. In the example of FIG. 1, the distribution apparatus 100 refers to the time content storage unit 122 and extracts time content C12 associated with a feature keyword that matches the search query “fireworks display”.

  Next, the distribution apparatus 100 refers to the area content storage unit 123 and extracts area contents related to a position within a predetermined range from the current position “Roppongi” of the terminal apparatus 10 and related to the current time. (Step S5). In the present embodiment, the distribution apparatus 100 extracts three area contents, but the number of area contents to be extracted is not limited to three.

  In other words, the distribution apparatus 100 performs matching with each area content stored in the area content storage unit 123 using “a position within a predetermined range from the current position” and “current time”, and “a predetermined range from the current position” Area contents that satisfy both of “position in” and “current time” are extracted.

  Here, the distribution apparatus 100 uses the search queries “pool”, “beer garden”, and “fireworks display” narrowed down in step S3 as matching at “current time” so that area contents related to the current time can be extracted. . Specifically, the distribution apparatus 100 is an area content in which feature keywords matching each of the search queries “pool”, “beer garden”, and “fireworks display” narrowed down in step S3 are associated with the current position “Roppongi”. To extract area contents related to a position within a predetermined range. That is, the distribution apparatus 100 extracts area content related to a search query frequently used in the past at the same time as the current time and related to a position within a predetermined range from the current position of the user. .

  In the example of FIG. 1, the distribution apparatus 100 associates feature keywords that match the search queries “pool”, “beer garden”, and “fireworks display”, and displays a position within a predetermined range from the current position “Roppongi”. The time contents C31 to C33 associated with the indicated position information are extracted.

  Next, the distribution apparatus 100 generates one web page W1 on which the time content C12 extracted in step S4 and the area contents C31 to C33 extracted in step S5 are displayed (step S6). For example, the distribution apparatus 100 generates the web page W1 by combining the time content C12 and the area contents C31 to C33.

  Here, FIG. 2 is a diagram illustrating an example of the web page W1 generated from the time content and the area content. As shown in FIG. 2, in the distribution apparatus 100, the time content C12 is displayed in the area R1 that is the upper half area of the web page W1, and the area contents C31 to C33 are displayed in the area R2 that is the lower half area. Such a web page W1 is generated. More specifically, the distribution apparatus 100 determines that the current location (“Roppongi” in this example) is present in the uppermost region R21 among the regions included in the region R2, and the current date and time and current weather are present in the second region R22. A button for activating a navigation application and a route application is generated, and a web page W1 in which area contents C31 to C33 are displayed in the third region R23 is generated.

  As shown in FIG. 2, the area contents C31 to C33 are displayed in a list in the vertical direction. Therefore, the distribution apparatus 100 arranges the area contents C31 to C33 based on the submission date and time of each of the area contents C31 to C33. For example, the distribution apparatus 100 displays the area content with a new submission date / time at the upper part. In FIG. 2, the distribution apparatus 100 places the area content C32 having the newest submission date and time at the top, the second area content C33 with the new submission date and time second, and finally the area content C31 having the submission date and time. The example which produced the web page W1 displayed at the bottom is shown.

  The pull-down BT1 displayed on the right side of the current position information “Roppongi” in the region R21 is for allowing the user to select position information. For example, when the pull-down BT1 is pressed, 47 prefectures are displayed in a list. When a specific area is selected from 45 prefectures, representative areas in that area are further displayed in a list. For example, when Tokyo is selected from 45 prefectures displayed in a list, representative cities in Tokyo such as “Shibuya, Roppongi, Meguro, Shinjuku” are further displayed in a list.

  Here, for example, when “Meguro” is selected, the distribution apparatus 100 changes the current position information “Roppongi” in the region R21 to the selected position information “Meguro”. Further, when the position information is selected using the pull-down BT1 in this way, the distribution apparatus 100 re-extracts the area content related to the selected position information and related to the current time, and displays the current content. The area content is re-extracted from the current area content.

  The star mark button B2 displayed on the right side of the pull-down BT1 in the region R21 is a button for “favorite registration” of any area content among the area contents displayed in the region R23.

  When the distribution apparatus 100 generates the web page W1 shown in FIG. 2, the distribution apparatus 100 distributes the generated web page W1 to the terminal apparatus 10 that is the content request transmission source (step S7). Then, the terminal device 100 displays the accepted web page W1 on the display screen. For this reason, the web page W1 shown in FIG. 2 also shows an aspect when displayed on the display screen of the terminal device 10.

  As described above, as described with reference to FIG. 1, the distribution apparatus 100 according to the first embodiment extracts time content related to the current time. In addition, the distribution apparatus 100 acquires position information indicating the current position of the user, and extracts area content that is related to a position within a predetermined range from the acquired current position and is related to the current time. Then, the distribution apparatus 100 generates a web page in which the time content is displayed in the upper portion and the area content is displayed in a list in the lower portion, and distributes the generated web page.

  Here, the time content is content that vaguely symbolizes the current time without considering the current position of the user. On the other hand, the area content can be said to be content that strongly reflects the current position of the user and also corresponds to the current time. Therefore, the user can be motivated to go out such as “I want to go out somehow” by the time content displayed at the top. Such users can look down on information related to their current location by area content (which can be said to be familiar information) and timely information. You'll have a stronger willingness to go out and actually go to the place or participate in the event.

  Therefore, the distribution apparatus 100 according to the first embodiment can increase the willingness to go out to the user using the time content and the area content. That is, it can be said that the distribution apparatus 100 according to the first embodiment can provide information useful to the user. In addition, since the distribution device 100 according to the first embodiment can effectively guide the user to the matters introduced in the time content and the area content (for example, sightseeing spots, shops, events, etc.) It can contribute to sales for this matter.

[2. Configuration of distribution device]
Next, the distribution apparatus 100 according to the first embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the distribution apparatus 100 according to the first embodiment. As illustrated in FIG. 3, the distribution device 100 according to the first embodiment includes a communication unit 110, a storage unit 120, and a control unit 130.

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

(About the storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 includes a search query storage unit 121, a time content storage unit 122, and an area content storage unit 123.

(Search query storage unit 121)
As described in FIG. 1, the search query storage unit 121 is a storage unit that stores a search query (search query log) that has been used (input) so far on a predetermined website. FIG. 4 shows an example of the search query storage unit 121 according to the first embodiment. In the example of FIG. 4, the search query storage unit 121 includes items such as “year”, “month / day”, “search query”, and “use count”.

  “Year” indicates the year in which the corresponding search query was used. “Month day” indicates the month and date when the corresponding search query was used. “Search query” indicates a search query used in the corresponding “year” and “month / day”. “Number of uses” indicates the number of times the search query is used in the corresponding “year” and “month / day”.

  Therefore, the search query storage unit 121 is a storage unit that stores, as a search query log, the number of times each search query is used that is aggregated for each date. That is, the example of FIG. 4 shows an example in which the search query “professional baseball” is used “1,050 times” on a predetermined website on “August 01, 2015”.

(About the time content storage unit 122)
As described with reference to FIG. 1, the time content storage unit 122 is a storage unit that stores time content that is content that summarizes articles that feature events representative of the season that occur for each season. Here, FIG. 5 shows an example of the time content 122 according to the first embodiment. In the example of FIG. 5, the time content storage unit 122 includes items such as “position information”, “feature keyword”, “time content”, “first transition destination”, “second transition destination”, and “submission date”. Have.

  “Position information” indicates position information related to the corresponding “time content”. For example, “location information” indicates location information (for example, an address of a sightseeing spot) corresponding to a matter (for example, a sightseeing spot or an event) introduced by the corresponding “time content”. For example, it is assumed that the time content C11 is a compilation of “Hydrangea highlights from all over Japan” as an article, and that the various parts of Japan are “Kamakura, Hakone, Saitama”. In this case, the position information “Kamakura, Hakone, Saitama” is stored in the “position information” corresponding to the time content C11.

  Note that, for example, when receiving a submission of time content, the first reception unit 131 described below analyzes the received time content, extracts position information, and associates the position information with the time content to generate the time content. Store in the storage unit 122.

  “Characteristic keyword” indicates a keyword that characterizes the corresponding period content. For example, when the time content C11 is the hydrangea feature as described above, the feature keyword “Hydrangea” is stored in the “feature keyword” corresponding to the time content C11.

  For example, when receiving a submission of time content, the first reception unit described later analyzes the received time content, extracts a feature keyword, associates the feature keyword with the time content, and stores the time content. Stored in the unit 122.

  “Time content” indicates data of the submitted time content. In FIG. 5, the time content is indicated by a conceptual symbol such as the time content C <b> 11, but in actuality, the time content is composed of text, images, and the like.

  “First transition destination” indicates “first content” that is the content of the transition destination to be transitioned and “first URL” that is the URL when the corresponding time content is selected. In FIG. 5, for example, the time URL C11 is associated with the first URL “U11-1” and the first content “C11-1” as the “first transition destination”. This indicates that when the time content C11 is selected (such as a touch operation by the user), the time content C11 is changed to the first content “C11-1” corresponding to the first URL “U11-1”. .

  “Second transition destination” indicates “second content” that is the content of the transition destination to be transitioned and “second URL” that is the URL when the corresponding “first content” is selected. In FIG. 5, for example, the second URL “U11-1-1” and the second content “C11-1-1” are associated with the first content C11-1 as the “second transition destination”. This is a transition from the first content C11-1 to the second content “C11-1-1” corresponding to the second URL “U11-1-1” when the first content C11-1 is selected. It shows that. “Submission date” indicates the date when the corresponding content is submitted.

(Regarding area content storage unit 123)
As described with reference to FIG. 1, the area content storage unit 123 is, for example, content that introduces or suggests a specific matter, and is used for matching with the current position and current time of the user. Store area content. FIG. 6 shows an example of the area content storage unit 123 according to the first embodiment. In the example of FIG. 6, the time content storage unit 123 includes “location information”, “corresponding time”, “feature keyword”, “area content”, “transition destination”, “submission date”, “number of favorite registrations”, and the like. Have items.

  “Position information” indicates position information related to the corresponding “area content”. For example, “position information” indicates the location of a facility introduced by the corresponding “area content” or position information around the facility. For example, the area content C33 is an article introducing “a fireworks display venue that can be reached immediately from Roppongi”, and the “location” and “Roppongi” of the fireworks display site are stored as position information.

  The “corresponding time” indicates a time suitable for the content of the corresponding “area content” or a time when the corresponding “area content” is characterized. As described above, since the area content C33 is a content in which articles related to the fireworks display are gathered, for example, “August” is stored as the “corresponding time” in the area content C33. Note that the time stored as the corresponding time may be a season or a period other than the monthly history. For example, the area content includes a store introduction including a coupon that can be used for a predetermined period. In such a case, the predetermined period may be stored as “corresponding time”.

  In addition, for example, when receiving a submission of area content, the second reception unit 132, which will be described later, analyzes the received area content, extracts position information and corresponding time, and extracts the extracted position information and corresponding time as an area. The content is stored in the area content storage unit 123 in association with the content.

  The “characteristic keyword” is a keyword that characterizes the area content, and is a keyword related to the time associated with the content indicated by the area content. For example, when receiving a submission of area content, the second reception unit described later analyzes the received area content, extracts a feature keyword, associates the feature keyword with the area content, and stores the area content storage unit 122. To store.

  “Area content” indicates the data of the submitted area content. In FIG. 6, the area content is represented by a conceptual symbol such as the area content C31. Actually, the area content is composed of text, images, and the like.

  “Transition destination” indicates the “content” of the transition destination and the “URL” to which the transition is made when the corresponding area content is selected. In FIG. 6, for example, the area content C31 is associated with the URL “U31-1” and the content “C31-1” as “transition destination”. This indicates that, when the area content C31 is selected, the area content C31 is changed to the content “C31-1” corresponding to the URL “U31-1”.

  “Submission date” indicates the date on which the corresponding area content was submitted. “Number of favorite registrations” indicates the number of users who have registered the corresponding area content as favorites.

(About other storage units)
The distribution apparatus 100 according to the embodiment may extract content (SNS content) posted to an SNS (Social Networking Service) as area content. In such a case, the distribution apparatus 100 further includes, for example, a storage unit (SNS content storage unit) that stores SNS content. For example, the distribution apparatus 100 acquires SNS content from an SNS server that manages a predetermined SNS, and stores the acquired SNS content in the SNS content storage unit.

  In such a case, the distribution apparatus 100 is SNS content associated with a feature keyword that matches a search query related to the current time, and is related to a position within a predetermined range from the current position, as described with reference to FIG. The SNS content is extracted from the SNS content storage unit as area content.

(About the control unit 130)
Returning to FIG. 3, the control unit 130 executes various programs stored in a storage device inside the distribution apparatus 100 by using a RAM as a work area by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. It is realized by. The control unit 130 is realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  As illustrated in FIG. 3, the control unit 130 includes a first reception unit 131, a second reception unit 132, an acquisition unit 133, a specification unit 134, an extraction unit 135, a generation unit 136, and a distribution unit 137. And implements or executes the functions and operations of information processing described below. Note that the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 3, and may be another configuration as long as the information processing described below is performed. Further, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship illustrated in FIG. 3, and may be another connection relationship.

(About the first reception unit 131)
The first accepting unit 131 accepts submission of time content from an editor or the like, for example. Moreover, the 1st reception part 131 receives the submission of the 1st content and 2nd content which are the transition destination content changed from a time content, as demonstrated in FIG. Then, the first receiving unit 131 stores these received contents in the time content storage unit 122.

  Further, the first receiving unit 131 extracts “position information” and “feature keyword” by analyzing the received time content. Note that “position information” and “feature keyword” may be designated by a submission source (for example, an editor), or may be manually extracted by an administrator of the distribution apparatus 100.

(About the second reception unit 132)
The second accepting unit 132 accepts area content submission from an editor or the like, for example. Further, the second accepting unit 132 accepts submission of content that is transitioned from area content as described with reference to FIG. Then, the second reception unit 132 stores these received contents in the area content storage unit 123.

  Further, the second reception unit 132 extracts “position information” and “corresponding time” by analyzing the received area content. The “location information” and “corresponding time” may be designated by the submission source (for example, an editor), or may be manually extracted by the administrator of the distribution apparatus 100.

(About the acquisition unit 133)
The acquisition unit 133 acquires position information (current position information) indicating the current position of the user. For example, the acquisition unit 133 acquires the current position information of the terminal device by receiving a content request including the current position information from the terminal device 10. The acquisition unit 133 may acquire the current position information from the terminal device 10 by requesting the terminal device 10 to transmit the current position information when a content request is received from the terminal device 10. . Further, the terminal device 10 may acquire the current position information periodically, for example, and transmit the acquired current position information to the distribution apparatus 100 by installing the content application.

(About the specific part 134)
The specifying unit 134 refers to the search query storage unit 121 and specifies a matter that occurred in the past at the same time as the current time. The distribution apparatus 100 identifies a search query used in the past at the same time as the current time. Specifically, the specifying unit 134 specifies a search query used in the past at the same time as the current time. For example, the specifying unit 134 refers to the search query storage unit 121 and specifies a search query that is used in the past at the same time as the current time and is related to the current time (characterizes the current time). Here, the current time indicates, for example, the current time when the content request is received from the terminal device 10.

  In addition, the specifying unit 134 is a search query used in the past at the same time as the current time, and is related to a specific region (such as a place name), a search query related to a specific event, or a season A search query indicating may be specified.

  Note that search queries related to a specific region or search queries related to a specific event are preferably those related to the current period (for example, the region “Shonan” for summer and the event for summer “Summer Festival” etc.).

  Further, the specifying unit 134 narrows down a predetermined number of search queries from the specified search queries based on the frequency of use of each specified search query. For example, the specifying unit 134 narrows down search queries such as extracting a predetermined number of search queries having a higher usage frequency from the specified search queries based on the usage frequencies of the specified search queries.

  The processing of the specifying unit 134 will be described using the example of FIG. First, it is assumed that the acquisition unit 133 acquires a content request including the current position information from the terminal device 100 on “August 10, 2016”. In such a case, the specifying unit 134 refers to the search query storage unit 121, and first, the search query used in “August 2015 (for example, from August 1 to August 31)” that is one year ago. And the search query characterizing the time of “August” is specified. For example, the specifying unit 134 specifies “pool”, “beer garden”, “fireworks display”, and “insect repellent”.

  Next, the specifying unit 134 narrows down a predetermined number of search queries based on the usage frequency in “August” of each of the specified search queries, that is, the “number of uses”. Here, the top three search queries most frequently used in the search queries “pool”, “beer garden”, “fireworks display”, and “insect repellent” are “pool”, “beer garden”, and “fireworks display”. It shall be. In such a case, the specifying unit 134 selects the top three search queries “pool” that were used most frequently in “August” from the search queries “pool”, “beer garden”, “fireworks display”, and “insect repellent”. , “Beer garden” and “Fireworks display” are extracted to narrow down these three search queries.

(About the extraction unit 135 (1))
The extraction unit 135 extracts time content that is content displayed together with area content and is content related to the current time. The extraction unit 135 also extracts area content that is content related to the position information acquired by the acquisition unit 133 and content related to the current time. For example, the extraction unit 135 extracts area content that is content related to a position within a predetermined range from the current position indicated by the position information acquired by the acquisition unit 133 and is content related to the current time.

  As a method for extracting time content and area content related to the current time, for example, the extraction unit 135 is a search specified by the specifying unit 134 based on the frequency of use of a search query used at the same time as the current time in the past. Time content and area content corresponding to the query are extracted.

  First, extraction of time content will be described using the example of FIG. First, it is assumed that the current position information “Roppongi” is acquired by the acquisition unit 133 when the terminal apparatus 10 transmits a content request including the current position information “Roppongi” on “August 10, 2016”. In addition, it is assumed that three search queries such as “pool”, “beer garden”, and “fireworks display” are specified by the specifying unit 134.

  In such a case, the extraction unit 135 refers to the time content storage unit 122 and extracts one time content associated with a feature keyword that matches at least one of the three search queries. For example, the extraction unit 135 extracts the time content C12 associated with the feature keyword that matches the search query “fireworks display”.

  Note that the extraction unit 135 may predict a related word related to the search query and extract time content associated with a feature keyword that matches the predicted related word. For example, the extraction unit 135 predicts “yukata” as a related word related to the search query “fireworks display”, and extracts time content associated with a feature keyword that matches the related word “yukata”. And the extraction part 135 may perform extraction using such a related word, when the characteristic keyword which corresponds to a search query does not exist.

  Next, extraction of area contents will be described using the example of FIG. The extraction unit 135 refers to the area content storage unit 123 and extracts area content related to a position within a predetermined range from the current position “Roppongi” of the terminal device 10 and related to the current time.

  For example, the extraction unit 135 determines a position within a predetermined range from the current position based on a radial distance centered on the current position. For example, the extraction unit 135 determines an area (for example, a municipality) existing within a radius of X meters from the current position as a position within a predetermined range from the current position.

  In addition to this example, the extraction unit 135 determines a region (for example, a municipality) adjacent to a region (for example, a municipality) including the current position as a position within a predetermined range from the current position. May be.

  Return explanation. Specifically, the extracting unit 135 performs matching with each area content stored in the area content storage unit 123 using “a position within a predetermined range from the current position” and “current time”, and the “current position” Area contents satisfying both “position within a predetermined range” and “current time” are extracted.

  As described above, search queries that were used more frequently in the past and at the same time in the past, that is, search queries that are more relevant to the current period, such as “pool”, “beer garden”, and “fireworks display” When the search query is specified, the extraction unit 135 is an area content in which characteristic keywords matching the search queries “pool”, “beer garden”, and “fireworks display” are associated with each other from the current position “Roppongi”. Area content related to a position within a predetermined range is extracted.

  In the example of FIG. 1, the extraction unit 135 associates feature keywords that match each of the search queries “pool”, “beer garden”, and “fireworks display”, and displays a position within a predetermined range from the current position “Roppongi”. Area contents C31 to C33 associated with the indicated position information are extracted.

  Similar to the time content extraction, the extraction unit 135 may predict a related word related to the search query and extract area content associated with a feature keyword that matches the predicted related word. In addition, when there is no area content related to a position within the predetermined range from the current position and there is no area content related to the current time, the extraction unit 135 widens the predetermined range and performs matching again. May be.

(About the extraction unit 135 (2))
Here, the extraction unit 135 can also employ another extraction method other than the extraction process using the search query described above. The other extraction method is a method using the “corresponding time” in the area content storage unit 123. Specifically, the extraction unit 135 extracts area content related to the current time (for example, monthly history) and related to a position within a predetermined range from the current position of the user.

  Specifically, the extraction unit 135 refers to the area content storage unit 123, and is an area content in which “month history” (“August” in this example) indicating the current time is associated as “corresponding time”. Then, the area content related to the position within the predetermined range from the current position “Roppongi” is extracted.

  In the above example, the extraction unit 135 extracts the area content in which the current time “August” is associated as the corresponding time and the position information indicating the position within the predetermined range from the current position “Roppongi” is associated.

  In addition, although the example using "month history" was shown, the extraction part 135 may extract area content, for example by performing matching at the time of a finer granularity. For example, the extraction unit 135 may perform matching based on “monthly history, date”. As an example, it has already been described that the content request is acquired and that the present time is “August 10, 2016”. However, the extraction unit 135 is in August 2016 and “August 10, 2016”. Extract area contents that contain

  For example, in the area content, there is a coupon with a limited expiration date. In such a case, the expiration date may be designated as “corresponding time”. In such a case, the extraction unit 135 can extract area content that is a coupon that can be used as of “August 10, 2016” or that can be used after “August 10, 2016”.

(About the generator 136)
The generation unit 136 generates a web page using the time content extracted by the extraction unit 135 and the area content. Specifically, as shown in FIG. 2, the generation unit 136 displays the time content in the upper half area (area R1) of the entire area of the web page, and the area content in the lower half area (area R2). Generate a web page that displays.

  Further, when the area content is displayed in the lower half of the area, the generation unit 136 generates, for example, a web page in which the area contents are arranged in a single line so that the area contents are displayed as a list. Specifically, the generation unit 136 generates web pages arranged in a vertical row so that the extracted area contents are displayed as a list based on the date of submission of the extracted area contents. For example, with respect to the extracted area content, the generation unit 136 generates a web page arranged above the area content with a new submission date.

  In this case, in the case of the above example, as illustrated in FIG. 2, the generation unit 136 places the newest area content C32 (submission date: August 09, 2016) on the top in the region R23. Next, the new area content C33 (submission date: August 05, 2016) is the second, and the area content C31 with the oldest submission date (submission date: August 01, 2016) is next. Is generated at the bottom of the web page W1.

  The generation unit 136 generates web pages arranged in a vertical row so that the extracted area contents are displayed in a list based on the frequency of use of the search query used when each area content is extracted. Also good. In the above example, the area content C31 is extracted by matching with the search query “pool”. The area content C32 is extracted by matching with the search query “beer garden”. The area content C33 is extracted by matching with the search query “fireworks display”.

  Here, for example, in “August 2015”, the search query “fireworks display” is used most frequently, then the search query “pool” is used most frequently, and the search query “beer garden” is used least frequently. Suppose. In such a case, the generation unit 136 places the area content C33 corresponding to the search query “fireworks display” having the highest number of uses at the top and the area content C31 corresponding to the search query “pool” having the next highest use count. Is generated second, and the web page W1 in which the area content C32 is arranged at the bottom is generated.

  Further, the generation unit 136 may generate web pages arranged in a vertical row so that the extracted area contents are displayed as a list based on the “number of favorite registrations” of each extracted area content. For example, for the extracted area content, the generation unit 136 generates a web page that is arranged above the area content having a new “favorite registration number”.

  Further, when generating the web page as described above, the generation unit 136 pastes a URL indicating the transition destination content for each of the time content and the area content. For example, in the example of FIG. 5, the first content transitioned from the time content C12 is the first content C12-1 to C12-4. Therefore, the generation unit 136 attaches URLs “U12-1” to “U12-4” corresponding to these four first contents to the time content C12.

  In the example of FIG. 6, the contents that are changed from the area contents C31 to C33 are the contents C31-1, C32-1, and C33-1. Therefore, the generation unit 136 pastes the URL “U31-1”, the URL “U32-1”, and the URL “U33-1” corresponding to these three contents to the area contents C31 to C33, respectively.

(About distribution unit 137)
The distribution unit 137 distributes the web page in which the time content and the area content are combined to the terminal device 10. For example, the distribution unit 137 distributes the web page generated by the generation unit 136 as described above to the terminal device 10.

[3. Processing procedure)
Next, a procedure of distribution processing executed by the distribution apparatus 100 according to the first embodiment will be described with reference to FIG. FIG. 7 is a flowchart illustrating a distribution processing procedure by the distribution apparatus 100 according to the first embodiment.

  First, the acquisition unit 133 of the distribution apparatus 100 determines whether a content request including the current position information indicating the current position of the terminal device 10 has been acquired from the terminal device 10 (step S101). When the content request including the current position information is acquired (step S101; Yes), the specifying unit 134 specifies a search query used in the past at the same time as the current time (step S102). Further, the specifying unit 134 narrows down a predetermined number of search queries from the specified search queries based on the use frequency (number of times of use) of each specified search query (step S103).

  Next, the extraction unit 135 extracts time content that is content displayed together with the area content and is content related to the current time (step S104). For example, the extraction unit 135 extracts time content corresponding to the search query narrowed down by the specifying unit 134.

  Further, the extraction unit 135 extracts area content that is content related to a position within a predetermined range from the current position of the terminal device 10 and content related to the current time (step S105). For example, the extraction unit 135 extracts area content related to a position within a predetermined range from the current position of the terminal device 10 and can be extracted to a search query narrowed down by the specifying unit 134 so that area content related to the current time can be extracted. Extract the corresponding area content.

  Next, the production | generation part 136 produces | generates the web page which combined the extracted time content and area content (step S106). Then, the distribution unit 137 distributes the generated web page to the terminal device 10 (step S107).

(Second Embodiment)
From here, the delivery apparatus 200 concerning 2nd Embodiment is demonstrated. In the distribution apparatus 200 according to the second embodiment, the distribution apparatus 100 according to the first embodiment described above further includes a processing unit shown below, so that processing other than the processing described in the first embodiment is performed. Various different processes are performed.

[1. Configuration of distribution device]
First, the distribution apparatus 200 according to the second embodiment will be described with reference to FIG. FIG. 8 is a diagram illustrating a configuration example of the distribution apparatus 200 according to the second embodiment. As illustrated in FIG. 8, the distribution apparatus 200 according to the second embodiment includes a communication unit 110, a storage unit 120, and a control unit 230. Description of the storage unit and the processing unit to which the same reference numerals as those of the distribution device 100 according to the first embodiment are attached is omitted.

  The control unit 230 is realized by a CPU, an MPU, or the like executing various programs stored in a storage device inside the distribution apparatus 200 using the RAM as a work area. The control unit 230 is realized by an integrated circuit such as ASIC or FPGA, for example.

  As shown in FIG. 8, the control unit 230 is such that the control unit 130 shown in FIG. 3 further includes an evaluation unit 238, a notification unit 239, and a specifying unit 240. Note that the internal configuration of the control unit 230 is not limited to the configuration illustrated in FIG. 8, and may be another configuration as long as the information processing described below is performed. In addition, the connection relationship between the processing units included in the control unit 230 is not limited to the connection relationship illustrated in FIG. 8 and may be another connection relationship.

(About the evaluation unit 238 (1))
The evaluation unit 238 evaluates the area content distributed by the distribution unit 137 based on the user behavior situation of the user to whom the area content has been distributed by the distribution unit 137. For example, after the area content is distributed to the terminal device 10 by the distribution unit 137, the evaluation unit 238 visits a location indicated by the area content based on the location information of the terminal device 10. It is determined whether or not. And the evaluation part 238 evaluates each area content using a score according to a determination result. Note that the location information of the terminal device 10 may be periodically acquired by the acquisition unit 133, or may be periodically acquired by the evaluation unit 238. Further, the terminal device 10 may periodically transmit the position information to the distribution device 200.

  For example, for each terminal device 10 to which area content has been distributed, the evaluation unit 238 determines whether or not the terminal device has entered a position within a predetermined range from the position indicated by the area content. If the evaluation unit 238 determines that the position has entered a position within a predetermined range from the position indicated by the area content, the evaluation unit 238 determines that the user of the target terminal device 10 has visited the location indicated by the area content. As described above, when the evaluation unit 238 determines that the user has visited a place indicated by the area content, the evaluation unit 238 adds a predetermined evaluation score to the content.

  For this reason, the location indicated by the area content having a higher total evaluation score indicates that more users have been visited so far. That is, such a place can be said to be a place that is popular with users. Therefore, the extraction unit 135 gives priority to the area content that is related to the position within the predetermined range from the current position of the terminal device 10 and that has a higher evaluation score among the area contents related to the current time. To extract.

  As a result, the distribution apparatus 200 according to the second embodiment gives priority to area content that introduces places or events that are likely to be of interest to the user or tend to be popular with the user. Can be delivered to. That is, the distribution apparatus 200 can provide information useful for the user.

(About the evaluation unit 238 (2))
Further, the evaluation unit 238 may evaluate each area content distributed by the distribution unit 137 based on the staying time of the user in the transition destination content transitioned from the area content. For example, when the area content is selected and the transition is made to the transition destination content, the evaluation unit 238 measures the user's stay time in the transition destination content.

  Then, the evaluation unit 238 adds an evaluation score corresponding to the measured stay time to the area content corresponding to the transition destination content. For example, the evaluation unit 238 adds a higher evaluation score as the staying time is longer.

  For this reason, area content with a higher total evaluation score indicates that the user is more interested. Therefore, the extraction unit 135 gives priority to the area content that is related to the position within the predetermined range from the current position of the terminal device 10 and that has a higher evaluation score among the area contents related to the current time. To extract.

  As a result, the distribution apparatus 200 according to the second embodiment gives priority to area content that introduces places or events that are likely to be of interest to the user or tend to be popular with the user. Can be delivered to. That is, the distribution apparatus 200 can provide information useful for the user.

(About the evaluation unit 238 (3))
Further, the evaluation unit 238 may calculate a user trend for the area content such as what area content is popular with which user based on the evaluation score calculated for each area content as described above. . For example, the evaluation unit 238 may use area contents such as “contents related to Italian restaurants” are “popular for women”, or customers who participate in “XX events” are “centered on men in their 30s”. The “user attribute” associated with “category” is calculated as the user trend. For example, the evaluation unit 238 calculates such a user trend for each area content and stores it in association with the area content.

  Thereby, the extraction unit 135 can extract area content according to the user attribute of the user of the content request transmission source. For example, it is assumed that the content request transmission source user is “female”. In such a case, the extraction unit 135 is “area popular for women” among the area contents related to the position within the predetermined range from the current position of the terminal device 10 of the user and related to the current time. Area contents for which user trends are calculated are preferentially extracted.

  Thereby, the delivery apparatus 200 concerning 2nd Embodiment can provide the area content according to the user attribute of the user of a content request transmission source. That is, the distribution apparatus 200 can provide information useful for the user.

(Notification unit 239)
The notification unit 239 makes a predetermined notification to the user when the user is located in the vicinity of the place indicating the area content distributed to the user. For example, the notification unit 239 displays the terminal device of the user when the user is located in the vicinity of the location indicated by the area content that has been subjected to a predetermined registration process by the user among the area content distributed to the user. A push notification is sent to 10.

  For example, it is assumed that the user U1 has registered the area content C32 as a favorite. In such a case, the notification unit 239 identifies the location indicated by the area content C32 and monitors the current location of the user U1. Then, when the notification unit 239 enters an area within a predetermined range from the location indicated by the area content C32, the notification unit 239 makes a push notification to the terminal device 10 of the user U1. For example, the notification unit 239 performs push notification of information such as “Near destination”.

(About the specific part 240 (1))
The specifying unit 240 specifies the surrounding situation around the current position of the user. For example, the specifying unit 240 specifies the current weather as the surrounding situation around the current position of the user. In such a case, the extraction unit 135 is specified by the specifying unit 240 among the area contents related to the position within the predetermined range from the current position of the user's terminal device 10 and related to the current time. Preferentially extract area contents according to the current weather. This point will be described with reference to FIG.

  FIG. 9 is a diagram (1) illustrating an example of area content according to the surrounding situation. For example, the specifying unit 240 accesses a server device that manages information related to the weather forecast, and specifies the current weather around the current position of the user (referred to as user U1) who is the content request transmission source. Here, it is assumed that the specifying unit 240 specifies that the current weather around the current position of the user U1 is “rain”.

  In this case, as described above, the extraction unit 135 extracts area content related to a position within the predetermined range from the current position of the terminal device 10 of the user U1 and related to the current time. . At this time, since the current weather around the current position of the user U1 is “rain”, the extraction unit 135 at least one of the extracted area contents, for example, “can go without getting wet even if it is raining”. The area contents indicating “information that can be performed” (location, event, etc.) are specified. Here, it is assumed that the extraction unit 135 specifies the area content C3x as such area content. In addition to the area content C3x, the extraction unit 135 extracts area content related to a position within a predetermined range from the current position of the terminal device 10 of the user U1 and related to the current time. Shall.

  Then, the generation unit 136 generates the web page W1 using the content extracted by the extraction unit 135. At this time, for example, as illustrated in FIG. 9, the generation unit 136 may include information IF1 (pickup information) indicating that the area content C3x is a special feature corresponding to the weather “rain” with respect to the area content C3x. . Further, the generation unit 136 arranges the area content C3x at the top of the list display, for example, in order to make it easier for the user to view the area content C3x.

  Thereby, since the distribution apparatus 200 can provide area content according to the current weather around the current position of the user, the user's willingness to go out can be increased regardless of the weather.

(About the specific part 240 (2))
The specifying unit 240 may specify the current traffic situation as the surrounding situation around the current position of the user. In this case, the extraction unit 135 is the area content related to the position within the predetermined range from the current position of the user's terminal device 10 and the current content specified by the specifying unit 240 among the area content related to the current time. Preferentially extract area contents according to traffic conditions. This point will be described with reference to FIG.

  FIG. 10 is a diagram (2) illustrating an example of the area content according to the surrounding situation. For example, the specifying unit 240 accesses a server device that manages information related to traffic conditions, and specifies the current traffic conditions around the current position of the user (user U1) who is the content request transmission source. For example, the specifying unit 240 first determines the transportation means currently used by the user U1. Any method may be used for this method.

  For example, the specifying unit 240 calculates the moving speed of the user U1 based on the current position of the user U1 acquired from the terminal device 10, and thereby “automobile” and “train” are currently used as the means of transportation currently used by the user U1. ]. Further, the specifying unit 240 specifies the traffic situation at the current position of the user U1 in the determined transportation means. Here, it is assumed that the specifying unit 240 has determined “the vicinity of the L1 line and T station” for the transportation currently used by the user U1. Further, it is assumed that the specifying unit 240 specifies “delay occurrence” in “L1 line, around T station” by accessing a server device that manages information related to traffic conditions.

  In this case, as described above, the extraction unit 135 extracts area content related to a position within the predetermined range from the current position of the terminal device 10 of the user U1 and related to the current time. . At this time, since the means of transportation currently used by the user U1 is “L1 line, around T station” and “occurrence of delay”, the extraction unit 135 at least one of the extracted area contents, for example, , The area content indicating “information about T station (for example, within a radius of 100 meters from T station)” (location, event, etc.) is specified. Here, it is assumed that the extraction unit 135 specifies the area content C3y as such area content. In addition to the area content C3y, the extraction unit 135 extracts area content related to a position within a predetermined range from the current position of the terminal device 10 of the user U1 and related to the current time. Shall.

  Then, the generation unit 136 generates the web page W1 using the content extracted by the extraction unit 135. At this time, for example, as illustrated in FIG. 10, the generation unit 136 may include information IF2 (pickup information) indicating that the area content C3y is a special feature corresponding to “train delay” with respect to the area content C3y. . In addition, the generation unit 136 arranges the area content C3y at the top of the list display, for example, in order to make it easier for the user to view the area content C3y.

  Thereby, since the distribution apparatus 200 can provide area content according to the traffic situation around the current position of the user, for example, when the user is placed in an unfavorable situation such as a car jam or a train delay, The disadvantageous situation can be converted into a situation beneficial to the user.

(About the specific part 240 (3))
Further, the specifying unit 240 may specify the current time as the surrounding situation around the current position of the user. In such a case, the extraction unit 135 determines the current time specified by the specifying unit 240 among the area content related to the position within the predetermined range from the current position of the user's terminal device 10 and related to the current time. Preferentially extract area contents according to.

  As a result, the distribution apparatus 200 can preferentially provide area content such as “introducing a store featuring a lunch menu” if, for example, the content request is acquired from the user during the daytime. It is possible to provide useful information for the user.

(Other)
[1. (Modification)
The distribution apparatus 100 according to the first embodiment and the distribution apparatus 200 according to the second embodiment may be implemented in various different forms other than the above embodiment. Therefore, in the following, other embodiments of the distribution device 100 and the distribution device 200 will be described. Hereinafter, the distribution apparatus 100 will be described as an example.

[1-1. (Transition destination content)
When the time content displayed on the terminal device 10 is selected by the user, the distribution unit 138 in the distribution device 100 selects the selected time content and the current state of the user as the content to be transitioned from the selected time content. Distribute related content including information related to location. This point will be described with reference to FIG.

  FIG. 11 is an explanatory diagram for explaining the content distributed when the time content is selected. First, FIG. 11A shows a part of the web page W1 shown in FIG. Specifically, FIG. 11A shows an example in which the time content displayed on the upper half of the web page W1 shown in FIG. 2 is extracted and the time content C12 is displayed.

  Here, for example, it is assumed that the user U1 selects (eg, taps) the time content C12. In such a case, the terminal device 10 transmits a request for a transition destination content that is transitioned from the time content 10 to the distribution device 100. In the example of FIG. 5, the first URLs “U12-1” to “U12-4” indicating the first content that is the transition destination content are pasted to the time content C12. Therefore, the terminal device 10 transmits a request including the first URLs “U12-1” to “U12-4” to the distribution device 100.

  For example, when such a request is acquired by the acquisition unit 133, the extraction unit 135 refers to the time content storage unit 122, and first URLs “U12-1” to “U12-4” are associated with the first URLs. The contents “C12-1” to “C12-4” are extracted. Next, the generation unit 136 combines the first contents “C12-1” to “C12-4” extracted by the extraction unit 135 to generate the web page W1-1. At this time, the generation unit 136 pastes a second URL indicating the second content that is the corresponding transition destination content to each of the first content “C12-1” to “C12-4”.

  In the example of FIG. 5, the generation unit 136 pastes the second URL “U12-1-1” to the first content “C12-1”, and the second URL “U12” to the first content “C12-2”. -2-2 "is pasted, the second URL" U12-3-3 "is pasted to the first content" C12-3 ", and the second URL" U12-4 "is pasted to the first content" C12-4 ". -4 "is pasted. Then, the distribution unit 138 distributes the web page W1-1 generated by the generation unit 136 to the terminal device 10.

  FIG. 11B is a diagram illustrating an example of the web page W <b> 1-1 displayed by the terminal device 10. As shown in FIG. 11 (b), the web page W1-1 explains the details of the time content C12 in more detail, and the first content “C12- 1 "to" C12-4 ".

  Here, it is assumed that the user U1 selects the first content “C12-1”. In such a case, the terminal device 10 transmits a request for a transition destination content to be transitioned from the first content “C12-1” to the distribution device 100. A second URL “U12-1-1” indicating the second content that is the transition destination content is pasted on the first content “C12-1”. Therefore, the terminal device 10 transmits a request including the second URL “U12-1-1” to the distribution device 100.

  For example, when the request is acquired by the acquisition unit 133, the extraction unit 135 refers to the time content storage unit 122, and the second content “C12-1-- associated with the second URL“ U12-1-1 ”. 1 ”is extracted. Next, the generation unit 136 generates a web page W1-1-1 including the second content “C12-1-1” extracted by the extraction unit 135. At this time, the generation unit 136 also includes information related to the current content of the time content C12 and the user U1 in the web page W1-1-1. As shown in FIG. 11, both the time content C12 and the first content “C12-1” are content related to “fireworks display”.

  Therefore, the production | generation part 136 produces | generates the web page W1-1-1 containing the related content C12x which shows the information relevant to "Fireworks display" and the user's U1 present position. For example, the generation unit 136 searches for content related to “fireworks display” held in an area within a predetermined range from the current position of the user U1. At this time, the generation unit 136 may search within its own device (distribution device 100) or may search an external server device (for example, a content server that performs content distribution).

  For example, the generation unit 136 introduces “X1 fireworks display”, “X2 fireworks display”, and “X3 fireworks display” as content related to “fireworks display” held in an area within a predetermined range from the current position of the user U1. Suppose you search for (for example, the homepage of the host municipality). In such a case, the generation unit 127 generates a text such as “X1 fireworks display, click here for detailed information” including the URL of the searched content. The same applies to “X2 fireworks display” and “X3 fireworks display”.

  And the production | generation part 136 produces | generates the web page W1-1-1 containing the related content C12x while producing | generating the related content C12x which is the content containing the produced | generated text. Then, the distribution unit 138 distributes the web page W1-1-1 generated by the generation unit 136 to the terminal device 10.

  FIG. 11C is a diagram illustrating an example of the web page W1-1-1 displayed by the terminal device 10. As shown in FIG. 11C, the web page W1-1-1 includes a second content “C12-1-1” that explains the details of the first content “C12-1” in more detail, and related content. C12x.

  In this way, the distribution apparatus 100 displays related content including information related to the time content and the current position of the user, together with the transition destination content that is changed from the time content. Thereby, since the delivery apparatus 100 can provide information more familiar to the user, it is possible to increase the willingness to go out to the user. That is, the distribution apparatus 100 can provide information useful for the user.

[1-2. About keywords)
In each of the above-described embodiments, an example has been described in which the extraction unit 135 extracts area content or time content corresponding to a search query specified based on the frequency of use of a search query used at the same time as the current time in the past. However, the extraction unit 135 may extract area content or time content corresponding to the keyword specified based on the frequency of use of the keyword used in the past at the same time as the current time. Such a keyword is, for example, a keyword spread on the Internet. For example, keywords included in various contents and keywords used in SNS.

  In such a case, the distribution apparatus 100 includes, for example, a keyword storage unit as a storage unit that stores keywords used so far on the Internet together with the number of times of use (number of appearances on the Internet).

  Further, the specifying unit 134 refers to the keyword storage unit and specifies a keyword used in the past at the same time as the current time. For example, the specifying unit 134 refers to the keyword storage unit and specifies keywords that have appeared in the past at the same time as the current time and are related to the current time (characterize the current time).

[1-3. About content extraction)
In the said embodiment, the extraction part 135 showed the example which extracts the time content and area content corresponding to the search query specified based on the use frequency of the search query used at the same time as the present time in the past. . However, the extraction unit 135 may extract area content or time content related to a keyword corresponding to the current time. Specifically, the extracting unit 135 is an area content related to a keyword that is associated with time information indicating the current time among keywords that are associated with time information indicating the time related to the keyword. Or extract the time content. This point will be described using an example.

  For example, it is assumed that the distribution apparatus 100 stores a keyword and time information indicating a time characterizing the keyword in a predetermined storage unit in association with each other. For example, the distribution apparatus 100 uses a combination of the keyword “hydrangea” and the timing information “June” or a combination of the keyword “fireworks, shaved ice, pool” and the timing information “July to August”. It is stored in the storage unit. Note that such a combination may be created in advance by an administrator of the distribution apparatus 100 or may be automatically created by the distribution apparatus 100, for example.

  In such a state, for example, if the current time when the content request is received from the user is “August”, the specifying unit 134 includes the keywords included in each combination stored in the predetermined storage unit. A keyword associated with time information matching the current time “August” is specified. In the above example, the specifying unit 134 specifies the keyword “fireworks, shaved ice, pool” associated with the time information “July to August”.

  Then, the extraction unit 135 is area content in which feature keywords that match the keywords “fireworks”, “shaved ice”, and “pool” are associated with each other, and is related to a position within a predetermined range from the current position “Roppongi”. Extract area content.

  As a result, the distribution apparatus 100 can extract contents using keywords that are associated with time information in advance, in addition to extracting contents using search queries and keywords on the network. Content can be extracted. Further, for example, when there is no area content having a characteristic keyword that matches the specified search query, the distribution apparatus 100 can efficiently extract the area content by using such a method.

[2. Hardware configuration)
Further, the distribution apparatus 100 according to the first embodiment and the distribution apparatus 200 according to the second embodiment described above are realized by a computer 1000 having a configuration as shown in FIG. 12, for example. Hereinafter, the distribution apparatus 100 will be described as an example. FIG. 12 is a hardware configuration diagram illustrating an example of a computer 1000 that implements the functions of the distribution apparatus 100. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and 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 unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the communication network 50 and sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the communication network 50.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. In addition, 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 it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a 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. Etc.

  For example, when the computer 1000 functions as the distribution apparatus 100 according to the first embodiment, the CPU 1100 of the computer 1000 realizes the function of the control unit 130 by executing a program loaded on the RAM 1200. The HDD 1400 stores data in the storage unit 120. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the communication network 50.

  When the computer 1000 functions as the distribution apparatus 200 according to the second embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 230 by executing a program loaded on the RAM 1200.

[3. Others]
In addition, among the processes described in the above embodiment, all or part of the processes described as being automatically performed can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  Moreover, each embodiment mentioned above can be combined suitably in the range which does not contradict a process content.

(effect)
The distribution apparatus 100 according to the first embodiment includes an acquisition unit 133, an extraction unit 135, and a distribution unit 137. The acquisition unit 133 acquires position information indicating the current position of the user. The extraction unit 135 extracts first content that is content related to the position information acquired by the acquisition unit 133 and content related to the current time. The distribution unit 137 distributes the first content (area content) extracted by the extraction unit 135 to the user.

  Thereby, the delivery apparatus 100 concerning 1st Embodiment can provide useful information for a user.

  In addition, the extraction unit 135 extracts the first content based on the degree of attention to matters that occurred in the past at the same time as the current time.

  Thereby, the delivery apparatus 100 concerning 1st Embodiment can extract the 1st content regarding the matter which attracts attention more by the user in the present time.

  Further, the extraction unit 135 extracts the first content corresponding to the search query specified based on the frequency of use of the search query used in the past and at the same time as the attention level in the past.

  Thereby, since the distribution apparatus 100 according to the first embodiment can extract the first content related to the matter that is attracting more attention by the user at the current time, the first content highly relevant to the current time. Can be extracted.

  The distribution unit 137 distributes the first content extracted by the extraction unit in a list in the arrangement order based on the use frequency of the search query used when the first content is extracted. .

  Accordingly, the distribution apparatus 100 according to the first embodiment displays the first content that is more likely to be of interest to the user among the extracted first content at a position that is more likely to be noticed by the user. Can be made.

  Further, the extraction unit 135 extracts first content corresponding to the keyword specified based on the frequency of use of the keyword used on the Internet in the past at the same time as the current time as the attention level.

  Thereby, since the distribution apparatus 100 according to the first embodiment can extract the first content related to the matter that is attracting more attention by the user at the current time, the first content highly relevant to the current time. Can be extracted.

  Also, the distribution unit 137 distributes the first content extracted by the extraction unit 135 in a list in the arrangement order based on the frequency of use of the keywords used when the first content is extracted. .

  Accordingly, the distribution apparatus 100 according to the first embodiment displays the first content that is more likely to be of interest to the user among the extracted first content at a position that is more likely to be noticed by the user. Can be made.

  In addition, the extraction unit 135 selects the first content related to the keyword associated with the time information indicating the current time among the keywords associated with the time information indicating the time related to the keyword. Extract.

  As a result, the distribution apparatus 100 according to the first embodiment extracts the first content using a keyword that is associated with time information in advance, in addition to using a search query or a keyword on the net. Therefore, content can be extracted flexibly.

  The distribution apparatus 200 according to the second embodiment includes a specifying unit 240. The specifying unit 240 specifies the surrounding situation around the current position of the user. Then, the extracting unit 135 extracts the first content corresponding to the surrounding situation specified by the specifying unit 240.

  As a result, the distribution apparatus 200 according to the second embodiment is not only related to the current position and current time of the user, but also can extract area content according to the user's surroundings, which is beneficial for the user. Information can be provided.

  Further, the specifying unit 240 specifies the current weather as the surrounding situation. Then, the extracting unit 135 extracts the first content corresponding to the current weather specified by the specifying unit 240.

  Thereby, for example, the distribution apparatus 200 according to the second embodiment gives priority to the first content that introduces stores, events, and the like that can be reached without getting wet from the current position of the user on a rainy day. Can be provided to the user.

  Moreover, the specifying unit 240 specifies the current traffic situation as the surrounding situation. Then, the extracting unit 35 extracts the first content corresponding to the current traffic situation specified by the specifying unit 240.

  Accordingly, the distribution device 200 according to the second embodiment, for example, when a user is currently involved in a traffic jam or a train delay, displays a store or an event in the vicinity where the traffic jam or the train delay occurs. Since the area content to be introduced can be preferentially provided to the user, for example, time can be used effectively.

  Further, the specifying unit 240 specifies the current time as the surrounding situation. Then, the extracting unit 135 extracts the first content corresponding to the current time specified by the specifying unit 240.

  Thereby, since the delivery apparatus 200 concerning 2nd Embodiment can provide a user with the 1st content which introduces the store which specializes in a lunch menu, for example, if the present time is noon time, Information useful to the user can be provided.

  Further, the extraction unit 135 is an evaluation result for the first content distributed to the user, and is based on the evaluation result evaluated according to whether or not the user has visited the place indicated by the first content. Thus, the first content which is the content related to the position information acquired by the acquisition unit 133 is extracted.

  Thereby, the distribution apparatus 200 according to the second embodiment gives priority to, for example, the first content that introduces places or events that are likely to be of interest to the user or tend to be popular with the user. Can be delivered to users.

  In addition, the distribution device 200 according to the second embodiment includes a notification unit 239. The notification unit 239 gives a predetermined notification to the user when the user is located near a location indicated by the area content that has been subjected to a predetermined registration process by the user among the area content distributed to the user.

  As a result, the distribution apparatus 200 according to the second embodiment can notify the user that the user has reached the vicinity of the destination, thereby preventing the user from passing through the destination without noticing. can do.

  In addition, the extraction unit 135 extracts second content (time content) that is content displayed together with the first content and is related to the current time. Then, the distribution unit 137 distributes the second content so that it is displayed together with the first content.

  Accordingly, the distribution apparatus 100 according to the first embodiment first increases the user's willingness to go out using the second content, and then increases the willingness to go out using the first content. Since more familiar information can be provided to the user, the user's willingness to go out can be further increased.

  In addition, when the second content is selected by the user, the distribution unit 137 distributes related content that is content related to the second content and includes information related to the current position of the user. .

  Thereby, since the delivery apparatus 100 concerning 1st Embodiment can provide more familiar information with respect to a user, a user's willingness to go out can be heightened more.

  As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various modifications, including the aspects described in the disclosure section of the invention, based on the knowledge of those skilled in the art, It is possible to implement the present invention in other forms with improvements.

  In addition, the “section (module, unit)” described above can be read as “means” or “circuit”. For example, the extraction unit can be read as extraction means or an extraction circuit.

DESCRIPTION OF SYMBOLS 1 Distribution system 10 Terminal apparatus 100 Distribution apparatus 121 Search query memory | storage part 122 Time content storage part 123 Area content storage part 133 Acquisition part 135 Extraction part 137 Distribution part 200 Distribution apparatus 238 Evaluation part 239 Notification part 240 Identification part

Claims (17)

An acquisition unit for acquiring position information indicating the current position of the user;
An extraction unit for extracting first content that is content related to the position information acquired by the acquisition unit and content related to the current time;
A distribution unit that distributes the first content extracted by the extraction unit to the user. The distribution apparatus according to claim 1, wherein the extraction unit extracts the first content based on a degree of attention to a matter that occurred in the past at the same time as the current time. The said extraction part extracts the said 1st content corresponding to the search query specified based on the use frequency of the search query used in the past and the same period in the past as the said attention degree. 2. The distribution apparatus according to 2. The distribution unit distributes the first content extracted by the extraction unit in a list in the arrangement order based on the frequency of use of the search query used when the first content is extracted. The distribution device according to claim 3, wherein: The extraction unit extracts the first content corresponding to a keyword specified based on a frequency of use of a keyword used on the Internet in the past at the same time as the current time as the attention level. The distribution apparatus according to any one of claims 2 to 4. The distribution unit distributes the first content extracted by the extraction unit in a list in the arrangement order based on the frequency of use of keywords used when the first content is extracted. The distribution apparatus according to claim 5. The extraction unit extracts first content related to a keyword that is associated with time information indicating a current time among keywords that are associated with time information indicating a time related to the keyword. The distribution device according to claim 1, wherein the distribution device is a distribution device. A specifying unit for specifying a surrounding situation around the current position of the user;
The distribution device according to any one of claims 1 to 7, wherein the extraction unit extracts the first content according to a surrounding situation specified by the specifying unit. The specifying unit specifies the current weather as the surrounding situation,
The distribution device according to claim 8, wherein the extraction unit extracts the first content according to the current weather specified by the specifying unit. The specifying unit specifies a current traffic situation as the surrounding situation,
The distribution device according to claim 8 or 9, wherein the extraction unit extracts the first content according to a current traffic situation specified by the specification unit. The specifying unit specifies the current time as the surrounding situation,
The distribution device according to claim 8, wherein the extraction unit extracts the first content according to a current time specified by the specification unit. The extraction unit is an evaluation result for the first content distributed to the user, and is based on the evaluation result evaluated according to whether or not the user has visited a place indicated by the first content. The distribution device according to any one of claims 1 to 11, wherein first content that is content related to the position information acquired by the acquisition unit is extracted. When the user is located in the vicinity of the location indicated by the first content that has been subjected to predetermined registration processing by the user among the first content distributed to the user, the user is notified of the predetermined content. The distribution device according to claim 1, further comprising a notification unit. The extraction unit extracts second content that is content displayed together with the first content and is related to the current time,
The distribution device according to any one of claims 1 to 13, wherein the distribution unit distributes the second content so that the second content is displayed together with the first content. The distribution unit distributes related content that is content related to the second content and includes information related to the current position of the user when the second content is selected by the user. The distribution apparatus according to claim 14. A distribution method executed by a computer,
An acquisition step of acquiring position information indicating the current position of the user;
An extraction step of extracting first content that is content related to the position information acquired by the acquisition step and content related to the current time;
A distribution step of distributing the first content extracted in the extraction step to the user. An acquisition procedure for acquiring position information indicating the current position of the user;
An extraction procedure for extracting first content that is content related to the position information acquired by the acquisition procedure and content related to the current time;
A distribution program for causing a computer to execute a distribution procedure for distributing the first content extracted by the extraction procedure to the user.

Images