JP5754534B1 - Information processing apparatus, information processing system, and information processing program - Google Patents

Abstract

An information processing apparatus is provided that extracts information related to a topic extracted from a remark of a second user related to a user from information related to a position where the user is present. An information processing apparatus accepting means accepts a user position, a first extracting means extracts a topic from a second user's remarks related to the user, and the second extracting means comprises: The information related to the position is extracted, and the third extracting means extracts information related to the topic extracted by the first extracting means from the information extracted by the second extracting means. [Selection] Figure 1

Description

  The present invention relates to an information processing apparatus, an information processing system, and an information processing program.

  In Patent Document 1, a map of the area where they live is made to function like a bulletin board, and other people see the local information that they have sent, and various local information that other people have sent is also a map The Web server is a map data for many areas to play the role of an information exchange bulletin board, with the goal of building an information exchange site for browsing on a type bulletin board on a network such as the Internet or a mobile phone network. It manages the site map database that is structured and aggregated, communicates with the browser-equipped devices that have accessed it, delivers screen configuration data to the browser-equipped device to display the site map of the region as desired, and Web The server manages an overlay content database that is structured and aggregated from a number of overlay contents to be presented in combination with the site map. In addition, the overlay content is regional information sent by the user and is classified into several categories according to the content, and each overlay content is coordinate data for pointing the origin of the information on the underlying site map And an information body composed of characters and images.

  Patent Document 2 discloses a system for controlling an electronic bulletin board that outputs content in a manner that allows a plurality of people to recognize the content, with the objective of providing optimal content to users who are viewing the content output on the electronic bulletin board And receiving from the user a bulletin board ID that is identification information of an electronic bulletin board including location information for identifying a place where the electronic bulletin board where the user is viewing content is present, and features of the user It matches the user attribute information with respect to the reception processing unit for identifying the user attribute information indicating the user ID, the history database storing at least the user attribute information and the bulletin board ID of the electronic bulletin board, and the electronic bulletin board viewed by the user. And an advertisement information processing unit for instructing output of content.

  It is an object of Patent Document 3 to provide a street information providing system that can effectively and easily provide information by a street terminal device by linking with a portable terminal device possessed by a user. A street bulletin board composed of a street terminal device that provides information according to a user's operation, a server device and a database that provide information to the street terminal device, and a mobile terminal device (mobile phone) possessed by the user In the system, the street terminal device receives external transfer device that receives transfer information from the mobile terminal device, and retrieves and displays related information (store / facility information and map information) from the database based on the received transfer information. It is disclosed that the apparatus has a screen generation process and a first display device that displays the information.

JP 2002-207742 A JP 2003-271645 A JP 2007-048106 A

  The present invention relates to an information processing apparatus, an information processing system, and an information processing system that extract information related to a topic extracted from a remark of a second user related to a user from information related to a position where the user is located The purpose is to provide a program.

  The gist of the present invention for achieving the object lies in the inventions of the following items.

The invention of claim 1 is a receiving means for receiving a user's position, a first extracting means for extracting a topic from a second user's remarks related to the user, and a first extracting means for extracting information related to the position. 2 extraction means, and third extraction means for extracting information related to the topic extracted by the first extraction means from the information extracted by the second extraction means , the first extraction Means for extracting a topic from a statement of a third user other than the user at the position; and a fifth extraction unit for extracting a topic from a statement of the second user; The information processing apparatus includes a sixth extraction unit that extracts a topic that is common to the topic extracted by the fourth extraction unit and the topic extracted by the fifth extraction unit .

The invention according to claim 2 is the information processing apparatus according to claim 1, further comprising generating means for generating information for presenting the information extracted by the third extracting means to the user.

According to a third aspect of the present invention, the information generated by the generating means is transmitted to a portable information terminal possessed by the user or to a display device or a printing device located in the vicinity of the position where the user is present. The information processing apparatus according to claim 2, further comprising means.

Invention of Claim 4 receives the information transmitted from the information processing apparatus of Claim 3 , and the transmission means of the information processing apparatus, presents the information, and presents the information An information processing system including the display device or the printing device that prints the information.

According to a fifth aspect of the present invention, there is provided a computer comprising: a receiving unit that receives a position of a user; a first extracting unit that extracts a topic from a remark of a second user related to the user; and information related to the position A second extraction means for extracting; and a function of a third extraction means for extracting information related to the topic extracted by the first extraction means from the information extracted by the second extraction means , The first extracting means extracts a topic from a comment of a third user other than the user at the position, and extracts a topic from a comment of the second user. extraction means, said fourth to sixth information order to function as an extracting means for extracting a topic common to topics extracted by the fifth extraction means and topics extracted by the extracting means Is a management program.
According to a sixth aspect of the present invention, the first extraction means for extracting a topic from the remarks of the second user related to the user, the second extraction means for extracting information related to the position of the user, and the information, A third extracting unit configured to extract information related to the topic, wherein the first extracting unit extracts a second topic from a statement of a third user other than the user at the position, and the statement of the second user; The information processing device extracts a third topic and extracts a topic common to the second topic and the third topic.
According to a seventh aspect of the present invention, there is provided a first extracting means for extracting a topic from a remark of a second user related to a user, a second extracting means for extracting information related to the position of the user, and the information. From the remarks of a third user other than the user at the position, the first extraction means extracts a second topic from the remarks, and extracts information related to the topic. It is an information processing program for extracting a third topic from two users' comments and extracting a topic common to the second topic and the third topic.

According to the information processing apparatus of the first aspect, information related to the topic extracted from the remarks of the second user related to the user can be extracted from the information related to the position where the user is present. Further, it is possible to extract a topic from a third user's statement at a position where the user is present, extract a topic from the second user's statement, and extract a topic common to the two topics.

According to the information processing apparatus of the second aspect , it is possible to generate information for presenting the extracted information to the user.

According to the information processing apparatus of the third aspect , the generated information can be transmitted to the portable information terminal owned by the user or to the display device or the printing device located near the position where the user is located. .

According to the information processing system of the fourth aspect , the generated information can be presented on the portable information terminal, presented on the display device, or printed by the printing device.

According to the information processing program of the fifth aspect , it is possible to extract information related to the topic extracted from the remarks of the second user related to the user from the information related to the position where the user is present. Further, it is possible to extract a topic from a third user's statement at a position where the user is present, extract a topic from the second user's statement, and extract a topic common to the two topics.
According to the information processing apparatus of the sixth aspect, information related to the topic extracted from the remarks of the second user related to the user can be extracted from the information related to the position where the user is present. Further, it is possible to extract a topic from a third user's statement at a position where the user is present, extract a topic from the second user's statement, and extract a topic common to the two topics.
According to the information processing program of the seventh aspect, it is possible to extract information related to the topic extracted from the remarks of the second user related to the user from the information related to the position where the user is present. Further, it is possible to extract a topic from a third user's statement at a position where the user is present, extract a topic from the second user's statement, and extract a topic common to the two topics.

It is a conceptual module block diagram about the structural example of this Embodiment. It is explanatory drawing which shows the system configuration example at the time of implement | achieving this Embodiment. It is explanatory drawing which shows the process example by this Embodiment. It is explanatory drawing which shows the data structural example which each module of this Embodiment handles. It is explanatory drawing which shows the example of a data structure which this Embodiment handles, and its connection example. It is a flowchart which shows the process example by this Embodiment. It is a flowchart which shows the process example by this Embodiment. It is a flowchart which shows the process example by this Embodiment. It is a flowchart which shows the process example by this Embodiment. It is explanatory drawing which shows the process example by this Embodiment. It is explanatory drawing which shows the process example by this Embodiment. It is explanatory drawing which shows the process example by this Embodiment. It is a block diagram which shows the hardware structural example of the computer which implement | achieves this Embodiment.

Hereinafter, an example of a preferred embodiment for realizing the present invention will be described with reference to the drawings.
FIG. 1 shows a conceptual module configuration diagram of a configuration example of the present embodiment.
The module generally refers to components such as software (computer program) and hardware that can be logically separated. Therefore, the module in the present embodiment indicates not only a module in a computer program but also a module in a hardware configuration. Therefore, the present embodiment is a computer program for causing these modules to function (a program for causing a computer to execute each procedure, a program for causing a computer to function as each means, and a function for each computer. This also serves as an explanation of the program and system and method for realizing the above. However, for the sake of explanation, the words “store”, “store”, and equivalents thereof are used. However, when the embodiment is a computer program, these words are stored in a storage device or stored in memory. This means that the device is controlled so as to be stored. In addition, the modules may correspond to the functions on a one-to-one basis. However, in implementation, one module may be configured by one program, or a plurality of modules may be configured by one program. A module may be composed of a plurality of programs. The plurality of modules may be executed by one computer, or one module may be executed by a plurality of computers in a distributed or parallel environment. Note that one module may include other modules. Hereinafter, “connection” is used not only for physical connection but also for logical connection (data exchange, instruction, reference relationship between data, etc.). “Predetermined” means that the process is determined before the target process, and not only before the process according to this embodiment starts but also after the process according to this embodiment starts. In addition, if it is before the target processing, it is used in accordance with the situation / state at that time or with the intention to be decided according to the situation / state up to that point. When there are a plurality of “predetermined values”, the values may be different from each other, or two or more values (of course, including all values) may be the same. In addition, the description having the meaning of “do B when it is A” is used in the meaning of “determine whether or not it is A and do B when it is judged as A”. However, the case where it is not necessary to determine whether or not A is excluded.
In addition, the system or device includes a plurality of computers, hardware, devices, and the like connected by communication means such as a network (including one-to-one communication connection), etc., and one computer, hardware, The case where it implement | achieves by an apparatus etc. is also included. “Apparatus” and “system” are used as synonymous terms. Of course, the “system” does not include a social “mechanism” (social system) that is an artificial arrangement.
In addition, when performing a plurality of processes in each module or in each module, the target information is read from the storage device for each process, and the processing result is written to the storage device after performing the processing. is there. Therefore, description of reading from the storage device before processing and writing to the storage device after processing may be omitted. Here, the storage device may include a hard disk, a RAM (Random Access Memory), an external storage medium, a storage device via a communication line, a register in a CPU (Central Processing Unit), and the like.

  The information processing apparatus 100 according to the present embodiment extracts information related to the position of the mobile terminal 180. As shown in the example of FIG. 1, the peripheral topic extraction module 110, the related topic extraction module 120, A peripheral topic selection module 130, an information holding module 140, and a peripheral information selection module 150 are included. The information processing apparatus 100 is connected to the mobile terminal 180, the information presentation apparatus 190, the SNS information storage module 170, and the user relationship storage module 175 via a communication line. The mobile terminal 180 and the information presentation device 190 may be formed integrally, or the information processing device 100 may include an SNS information storage module 170 and a user relationship storage module 175. Further, the information processing apparatus 100 may be included in the mobile terminal 180 and the information presentation apparatus 190. The user A possesses the mobile terminal 180 and is a member of a circle (including what is also referred to as a friend list or a list) in an SNS (Social Networking Service). User B is another member of the circle. That is, user A and user B belong to the same circle. Therefore, the user B is highly likely to be an acquaintance who trusts the user A in a certain genre. The information processing apparatus 100 performs filtering processing on information based on the position where the user A is located using the user B's remarks.

The peripheral topic extraction module 110 is connected to the peripheral topic selection module 130, the SNS information storage module 170, and the mobile terminal 180. The processing performed by the peripheral topic extraction module 110 is controlled by the peripheral topic selection module 130.
The related topic extraction module 120 is connected to the peripheral topic selection module 130 and the user relationship storage module 175. The processing performed by the related topic extraction module 120 is controlled by the peripheral topic selection module 130.
The peripheral topic selection module 130 is connected to the peripheral topic extraction module 110, the related topic extraction module 120, and the peripheral information selection module 150. The peripheral topic selection module 130 extracts topics from the remarks of the user B related to the user A carrying the mobile terminal 180. The user B is a person other than the user A and may be plural. The “user B related to the user A” corresponds to a member in a circle in the SNS in which the user A is participating, for example. Note that the topic is the subject, the subject matter, etc. in the statement. Specifically, for example, a table in which keywords (words) and topics are associated in advance is prepared, morphological analysis is performed on the target utterance, keywords used in the utterance are extracted, and the table is The topic corresponding to the keyword may be specified. Moreover, you may employ | adopt a keyword itself as a topic.
Specifically, the peripheral topic selection module 130 may control the related topic extraction module 120 to perform the following processing. The related topic extraction module 120 uses the information in the user relationship storage module 175 to extract the user B related to the user A, and speaks in the circle of the user B (a circle to which both the user A and the user B belong). Is extracted from the SNS information storage module 170. A topic is extracted from the extracted remarks. Since the user B belongs to the same circle as the user A, the user B's remark is likely to be close to the user A's interest. For example, the related topic extraction module 120 extracts a keyword from the recent utterance of the user B. Note that “recent” may be within a predetermined period from the present time, or may be within a predetermined number of messages from the present time.
The peripheral topic selection module 130 may control the peripheral topic extraction module 110 to perform the following processing. The peripheral topic extraction module 110 extracts topics from the remarks of the user C at the position of the user A. For example, the peripheral topic extraction module 110 extracts a keyword from the remarks of the user C performed at a position close to the position where the user A is present. User C may be in any relationship with the circle to which user A belongs. That is, the user C may or may not belong to the circle to which the user A belongs. There may be a plurality of users C. Further, the user C may include one or both of the user A and the user B, or may exclude either one or both of the user A and the user B. User C may be user B.
Then, the peripheral topic selection module 130 extracts a topic that is common to the topic extracted by the related topic extraction module 120 and the topic extracted by the peripheral topic extraction module 110. Specifically, the peripheral topic selection module 130 extracts recent keywords that are close to the position where the user A exists and close to the interest of the user A. In addition, when there are a plurality of common topics, scoring using a method such as tf * IDF may be performed, sorting according to the score, and selecting those within a predetermined order.

The information holding module 140 is connected to the peripheral information sorting module 150. The information holding module 140 stores information associated with the position information. Here, the “stored information” is information regarding stores, events, and the like, and specifically, notification information, advertisement information, and the like.
The peripheral information selection module 150 is connected to the peripheral topic selection module 130, the information holding module 140, the mobile terminal 180, and the information presentation device 190. The peripheral information sorting module 150 receives the position of the user A. Next, information related to the position is extracted from the information holding module 140. Then, information related to the topic extracted by the peripheral topic selection module 130 is extracted from the extracted information and passed to the information presentation device 190. As the “information related to the position”, for example, advertising information such as an event held in the vicinity of the position, such as a store in the vicinity of the position, and the like correspond. “Extracting information related to a topic” includes extracting information including the same keyword as the topic.
Also, the peripheral information sorting module 150 generates information for presenting the extracted information to the user A. The generated information is transmitted to the mobile terminal 180 possessed by the user A or to the information presentation device 190 located in the vicinity of the position where the user A is present.

The SNS information storage module 170 is connected to the peripheral topic extraction module 110 of the information processing apparatus 100 via a communication line. The SNS information storage module 170 stores SNS statements. The utterance includes a user ID (IDentification) that can uniquely identify the user who made the utterance in this embodiment, position information indicating the position where the utterance was made, and the date and time (year, Month, day, second, second or less, or a combination thereof) or the like.
The user relationship storage module 175 is connected to the related topic extraction module 120 of the information processing apparatus 100 via a communication line. The user relationship storage module 175 stores a circle ID that can uniquely identify a circle in the SNS in this embodiment, a circle name of the circle, a member (user ID) of the circle, and the like in association with each other.

The mobile terminal 180 is connected to the peripheral topic extraction module 110 and the peripheral information selection module 150 of the information processing apparatus 100 via a communication line. The mobile terminal 180 is a portable information processing apparatus, and corresponds to, for example, a mobile phone including a smartphone, a notebook computer, or the like. The mobile terminal 180 has a function of detecting a position. As position detection, for example, position information output by a GPS (Global Positioning System) and position information of a base station used in a mobile phone network may be used. Further, if the position of the user A is detected, another indoor positioning technique or the like may be used. The indoor positioning technology is, for example, that the user has logged in to a fixed PC and is operating, so that the position where the PC is placed is detected, and the user passes through the security gate. Detecting being inside or outside the security gate. Then, the mobile terminal 180 passes the position information to the peripheral topic extraction module 110 and the peripheral information selection module 150. The position information here indicates the position of the user A.
The information presentation device 190 is connected to the peripheral information selection module 150 of the information processing device 100 via a communication line. The information presentation device 190 is a display device or a printing device, and presents or prints information passed from the peripheral information selection module 150. The display device is called, for example, digital signage, and has a liquid crystal display or the like, and can display still images and moving images. Further, a speaker or the like may be provided to output sound. Examples of the printing apparatus include a printer, a multifunction peripheral (an image processing apparatus having any two or more functions such as a scanner, a printer, a copier, and a fax machine). Of course, you may have the function of both a display apparatus and a printing apparatus.

FIG. 2 is an explanatory diagram showing an example of a system configuration when the present embodiment is realized.
The information processing apparatus 100 includes a mobile terminal 180A, a mobile terminal 180B, a mobile terminal 180C, a mobile terminal 180D, a mobile terminal 180E, a mobile terminal 180F, a mobile terminal 180G, a mobile terminal 180H, an information presentation apparatus 190A, an information presentation apparatus 190B, an information presentation The devices 190C are connected to each other via a communication line 290. The communication line 290 may be wireless, wired, or a combination thereof, for example, the Internet as a communication infrastructure. The mobile terminal 180 is carried by the user, and the user is around the information presentation device 190. For example, in the vicinity of the information presentation apparatus 190A, there are three users who own the mobile terminal 180A, the mobile terminal 180B, and the mobile terminal 180C, respectively. The information processing apparatus 100 acquires position information of the position where each information presentation apparatus 190 is installed in advance, and uses the position information passed from each mobile terminal 180 to provide information in the vicinity of the mobile terminal 180. The presentation device 190 can be detected. For example, when the distance between the mobile terminal 180 and the information presentation device 190 is equal to or less than a predetermined threshold value, it may be determined that it is in the vicinity.

FIG. 3 is an explanatory diagram showing a processing example according to the present embodiment. Step A to Step C are performed as preprocessing.
(Step A) User relationship storage module 175: Storage of SNS connection user relationship It is assumed that the user classifies users (friends) that he / she is following into circles by field. For example, a circle of Google+ (registered trademark), a list of Twitter (registered trademark), and the like are applicable. In the example of FIG. 3, the user 380a forms circle data 375 with the users 380b, 380c, 380d, and 380e as circles. The circle is also named.
Data to be stored by the user relationship storage module 175 is a user and a circle. The user may have a plurality of circles. A plurality of users belong to the circle (circle-user 478 described later). In some cases, there are upper circles.

(Step B) Mobile terminal 180: Detecting the position where the user is located The mobile terminal 180 identifies the current position of the user 380a using a GPS function, indoor positioning technology, or the like. The target data here is position information indicating the user and the position where the user is located.
(Step C) Information holding module 140: Storage of peripheral information As described above, advertising information or the like is included as peripheral information (advertisement) 340 stored in the information holding module 140, and the information includes the information. A position attribute indicating a position to be displayed is associated with a keyword attribute. There may be a plurality of position attributes and keyword attributes. Also, “like” information obtained from the SNS may be stored in association with each other. The target data here is associated with advertisement data 342, advertisement provider information, position data 344, keyword list data 346, and like list data 348. The position data 344 may include the name of the place (store name, classroom name, place name, etc.) in addition to the latitude and longitude information. Moreover, you may have the area | region information which shows an area | region. For example, the area information may be indicated by the east-west width and the north-south width.

(Step D) Peripheral Topic Extraction Module 110: Extracts a topic around the user 380a and generates peripheral topic data 310 for each position 312. SNS position information remarks (position data 174a and remarks in the SNS information storage module 170) A comment made in the vicinity of the user 380a (position 312 corresponding to the position data 384) is extracted from the pair of data 172a and the like, and a keyword (keyword data 314a and the like) is extracted from the comment. Then, a score (score data 316a) is assigned using a method such as tf * IDF, and the keywords are stored in the order of score. The utterance such as the position data 174b is made by the user 380f corresponding to the above-described user C, and position information indicating the position where the utterance is made is added. The position information may be added using the method described in (Step B).
Detailed processing contents will be described later using the example of FIG.

(Step E) Related Topic Extraction Module 120: Extracts the topic of remarks by the member to which the user 380a belongs, and generates the topic data 320 of the circle for each circle 322 (Step A) Remarks of the user in the circle (remark data 376a) Etc.) and keywords (keyword data 324a etc.) are extracted from the remarks. Then, a score (score data 326a) is assigned using a method such as tf * IDF, and the keywords are stored in the order of score.
Detailed processing contents will be described later using the example of FIG.

(Step F) Peripheral Topic Selection Module 130: Filtering Peripheral Topic Data 310 with Circle Topic Data 320 A new score is calculated from the score of (StepD) and the score of (StepE). Examples of the score calculation method include SQRT ((StepD) score * (StepE) score). In the example of FIG. 3, topic (circle) data 330 is generated for each position 336. The topic (circle) data 330 includes a pair of keyword data 332 and score data 334.
Detailed processing contents will be described later using the example of FIG.

(Step G) Peripheral information selection module 150: Generate selected information (advertisement) 350 related to topic (circle) data 330 from peripheral information (advertisement) 340 (keyword data 332) obtained in (Step F), The peripheral information (advertisement) 340 obtained in (Step C) is filtered with the overall score 1 and the topic score 2 (score data 358). For example, the total score 1 is compared with a predetermined threshold value, and those that are less than or less than the threshold value are deleted. The total score 1 is the sum of the keyword scores calculated in (Step F). Note that the number of “likes” may be taken into account. Further, the total score 1 may further include a distance between the position of (Step B) (position data 384) and the position of the user who made the speech. The generated advertisement data 352 in the selected information (advertisement) 350 corresponds to the advertisement data 342 in the surrounding information (advertisement) 340, and the position data 354 is in the surrounding information (advertisement) 340. Corresponding to the position data 344, the keyword list data 356 corresponds to the keyword list data 346 in the peripheral information (advertisement) 340, and the score data 358 is the total value of the score data 334 in the topic (circle) data 330. Correspond.
Detailed processing contents will be described later using the example of FIG.

FIG. 4 is an explanatory diagram illustrating a data configuration example handled by each module according to the present embodiment. Note that the data structure shown in the example of FIG. 4 is an outline, and will be described in more detail using the example of FIG.
The peripheral topic extraction module 110 receives the position 480b indicating the position of the mobile terminal 180 from the mobile terminal 180, extracts the user 472 and the speech 474 related to the speech made at that position from the SNS information storage module 170, and the peripheral topic selection module The peripheral topic 410 is passed to 130.
The related topic extraction module 120 extracts the circle 476 and the circle-user 478 related to the circle to which the user A belongs from the user relationship storage module 175 and passes the related topic 420 to the peripheral topic selection module 130.
The peripheral topic selection module 130 receives the peripheral topic 410 from the peripheral topic extraction module 110, receives the related topic 420 from the related topic extraction module 120, and passes the peripheral related topic 430 to the peripheral information selection module 150.
In the information holding module 140, the advertisement information 440 is extracted by the peripheral information selection module 150.
The peripheral information selection module 150 receives the position 480a indicating the position of the mobile terminal 180 from the mobile terminal 180, extracts the advertisement information 440 corresponding to the position 480a from the information holding module 140, and the peripheral related topic 430 from the peripheral topic selection module 130. And the peripheral related information 450 is passed to the information presentation device 190.
In the SNS information storage module 170, the user 472 and the utterance 474 are extracted by the peripheral topic extraction module 110.
The user relationship storage module 175 extracts the circle 476 and the circle-user 478 by the related topic extraction module 120.
The mobile terminal 180 passes the position 480b to the peripheral topic extraction module 110 and passes the position 480a to the peripheral information selection module 150.
The information presentation device 190 receives the peripheral related information 450 from the peripheral information selection module 150.

  FIG. 5 is an explanatory diagram showing a data configuration example handled by this embodiment and a connection example thereof. In this example, peripheral topic 410, related topic 420, peripheral related topic 430, advertisement information 440, peripheral related information 450, user 472, remark 474, circle 476, circle-user 478, position 480, location information 510, advertising keyword 520 , Like 530, utterance-topic 540, utterance keyword 550, and connection example of each data. “1” and “n” in the rectangle or circle in FIG. 5 indicate the relationship (1 to 1, n to n, 1 to n, n to 1) with the connected data. The connection source stores a connection destination pointer. Note that the location information 510, the advertisement keyword 520, the like 530, the speech-topic 540, and the speech keyword 550 are supplemented with the data shown in the example of FIG. Stored in the storage module (any one of the information holding module 140, the SNS information storage module 170, and the user relationship storage module 175).

The peripheral topic 410 is generated by the peripheral topic extraction module 110, and stores a location column 410a storing a target location, a keyword column 410b storing a keyword at the location, and a score of the keyword. It has a score column 410c.
The location column 410a of the peripheral topic 410 is connected to the location information 510 and has an n-to-1 relationship.
The related topic 420 is generated by the related topic extraction module 120, stores an ID column 420a storing topic IDs in a circle, a topic column 420b storing the topic, and a keyword corresponding to the topic. And a score column 420d for storing the score of the keyword.
The related topic 420 is connected to the topic column 540b of the remark-topic 540 and has a one-to-n relationship.
The topic column 420b of the related topic 420 is connected to the circle 476 and has an n-to-1 relationship.
The peripheral related topic 430 is generated by the peripheral topic selection module 130, and includes a topic column 430a storing a target topic, a location column 430b storing a target location, and a keyword corresponding to the topic. , And a score field 430d that stores the score of the keyword.
The peripheral related topic 430 is connected to the peripheral related topic column 450g of the peripheral related information 450 and has a one-to-n relationship.
The topic column 430a of the peripheral related topic 430 is connected to the circle 476 and has a one-to-one relationship.
The location column 430b of the peripheral related topic 430 is connected to the location information 510 and has an n-to-1 relationship.

The advertisement information 440 is provided for each advertisement, and an advertisement ID column 440a that stores the advertisement ID, a location column 440b that stores the location where the advertisement is presented, and information content that stores the content of the advertisement. The column 440c has a provider column 440d that stores the person who provides the advertisement.
The advertising information 440 is connected to the target column 520b of the advertising keyword 520 and has a one-to-n relationship, and is connected to the target column 530b of the like 530 and has a one-to-n relationship. ing.
The place column 440b of the advertisement information 440 is connected to the place information 510 and has a one-to-one relationship.
The peripheral related information 450 is generated by the peripheral information selection module 150, and presents an advertisement ID column 450a that stores an ID of an advertisement to be presented, a location column 450b that stores a location where the advertisement is presented. Information content column 450c storing the content, provider column 450d storing the person providing the advertisement, score 1 total score column 450e storing the total score of the content to be presented, content to be presented A topic 2 topic score column 450f that stores the topic score, and a peripheral related topic column 450g that stores the peripheral related topic 430 used in generating the peripheral related information 450.
The location column 450b of the peripheral related information 450 is connected to the location information 510 and has a one-to-one relationship.
The peripheral related topic column 450g of the peripheral related information 450 is connected to the peripheral related topic 430 and has an n-to-1 relationship.

There is a user 472 for each user, a user ID column 472a storing the user ID of the user, a name column 472b storing the name of the user, and a birth date storing the date of birth of the user. It has a date field 472c and a position field 472d that stores the position of the user.
The user 472 is connected to the speaker main column 474d of the statement 474, has a one-to-n relationship, is connected to the owned user column 476c of the circle 476, and has a one-to-n relationship. And connected to the user column 478b of the circle-user 478, having a one-to-one relationship, connected to the user column 530a of the like 530, and having a one-to-n relationship. Yes.
The position column 472d of the user 472 is connected to the position 480 and has a one-to-one relationship.

The utterance 474 is for each utterance in the user's SNS, the ID column 474a storing the ID of the utterance, the date / time column 474b storing the date and time when the utterance was performed, and the position where the utterance was performed. It has a stored position column 474c, a speaker main column 474d that stores the user ID that made the statement, and a statement content column 474e that stores the content of the statement.
The utterance 474 is connected to the utterance column 540a of the utterance-topic 540 and has a 1 to n relationship, and is connected to the keyword column 550a of the utterance keyword 550 and has a 1 to n relationship. ing.
The position column 474c of the remark 474 is connected to the position 480 and has a one-to-one relationship.
The comment main column 474d of the comment 474 is connected to the user 472 and has an n: 1 relationship.

A circle 476 is provided for each circle. The circle ID column 476a stores the ID of the circle, the circle name column 476b stores the circle name of the circle, and owns the circle (creates the circle). A possessed user column 476c storing user IDs, and an upper circle column 476d storing IDs of circles at higher positions in the hierarchical structure of the circle.
The circle 476 is connected to the topic column 420b of the related topic 420, has a one-to-n relationship, is connected to the topic column 430a of the peripheral related topic 430, and has a one-to-one relationship. Is connected to the circle column 478a of the circle-user 478 and has a 1 to n relationship and is connected to the upper circle column 476d of the circle 476 and has a 1 to n relationship. Yes.
The owned user column 476c of the circle 476 is connected to the user 472 and has an n: 1 relationship.
The upper circle column 476d of the circle 476 is connected to the circle 476 and has an n: 1 relationship.

The circle-user 478 is provided for each circle, and has a circle column 478a for storing the ID of the circle, and an assigned user column 478b for storing a user ID belonging to the circle. There may be a plurality of belonging user columns 478b.
The circle column 478a of the circle-user 478 is connected to the circle 476 and has an n: 1 relationship.
The belonging user column 478b of the circle-user 478 is connected to the user 472 and has a one-to-one relationship.

The position 480 has a latitude column 482a that stores the latitude of the position and a longitude column 482b that stores the longitude of the position.
The position 480 is connected to the position field 472d of the user 472 and has a one-to-one relationship, and is connected to the position field 474c of the utterance 474 and has a one-to-one relationship.
The location information 510 is provided for each location, a location ID column 510a storing the ID of the location, a name column 510b storing the name of the location, a latitude column 510c storing the latitude of the location, It has a longitude column 510d that stores the longitude of the location, an east-west width column 510e that stores the east-west width of the region of the location, and a north-south width column 510f that stores the north-south width of the region of the location. Yes.
The location information 510 is connected to the location column 410a of the peripheral topic 410 and has a 1-to-n relationship, and is connected to the location column 430b of the peripheral-related topic 430 and has a 1-to-n relationship. Connected to the location column 440b of the advertisement information 440 and has a one-to-one relationship, and connected to the location column 450b of the peripheral related information 450 and has a one-to-one relationship. ing.

The advertisement keyword 520 is for each keyword used in the advertisement. The keyword column 520a stores the keyword, the target column 520b stores the keyword target, and the score stores the keyword score. It has a column 520c.
The target column 520b of the advertisement keyword 520 is connected to the advertisement information 440 and has an n-to-1 relationship.
Like 530 manages the selection of the “Like” button performed in the SNS. The user field 530a stores the user who made the “Like” selection. It has a target field 530b that stores the targeted advertisement information.
The user column 530a of Like 530 is connected to the user 472 and has an n-to-1 relationship.
The target column 530b of the like 530 is connected to the advertisement information 440 and has an n: 1 relationship.

The utterance-topic 540 manages the relationship between the utterance and the topic, and includes a utterance column 540 a that stores the utterance and a topic column 540 b that stores a topic corresponding to the utterance.
The comment field 540a of the comment-topic 540 is connected to the comment 474 and has an n-to-1 relationship.
The topic column 540b of the remark-topic 540 is connected to the related topic 420 and has an n-to-1 relationship.
The utterance keyword 550 manages the relationship between the utterance and the keyword, and stores a keyword field 550a storing a keyword, an utterance field 550b storing an utterance corresponding to the keyword, and a score for the keyword. It has a score column 550c.
The keyword column 550a of the comment keyword 550 is connected to the comment 474 and has an n: 1 relationship.

FIG. 6 is a flowchart illustrating a processing example according to the present exemplary embodiment (neighboring topic extraction module 110).
In step S602, the position of the user is acquired. Here, the target data is a user ID indicating the owner of the mobile terminal 180 and its position information (position 480b).
In step S604, a search is made for a thing close to the position from the SNS remarks. Here, the target data is the utterance 474, and the data to be generated is a list of “utterance-position score”. The position scores are all 0 at this time.
In step S606, a score is calculated from the proximity of the user to the utterance (for example, the reciprocal of the distance may be used).
In step S608, it is determined whether or not score calculation has been performed for all utterances. If it has been performed for all utterances, the process proceeds to step S612. Otherwise, the process proceeds to step S610.
In step S610, the process proceeds to the next statement.
In step S612, the top N sort items are extracted based on the score. Here, the target data is a list of “speech-position score”, and the data to be generated is a list of “speech-position score”.

In step S614, the keyword KW is extracted from the utterance.
In step S616, a keyword score is calculated (for example, a word score (tf * IDF product) * calculated by a speech distance score).
In step S618, a peripheral topic is created or specified from the keyword and added to the score. The data generated here is a list of peripheral topics.
In step S620, it is determined whether or not keyword scores have been calculated for all keywords KW. If it has been calculated for all keywords KW, the process proceeds to step S624, and otherwise, the process proceeds to step S622.
In step S622, the process proceeds to the next keyword KW.
In step S624, it is determined whether or not processing has been performed for all utterances. If processing has been performed for all utterances, the process proceeds to step S628; otherwise, the process proceeds to step S626.
In step S626, the process proceeds to the next statement.
In step S628, the peripheral topics are sorted by score, and the top N items are extracted. N is a predetermined number. The target data here is a list of peripheral topics, and the data to be generated is peripheral topics (may include keywords, scores, etc.).

FIG. 7 is a flowchart illustrating a processing example according to the present exemplary embodiment (related topic extraction module 120).
In step S702, the user's circle is acquired.
In step S704, users belonging to the circle are acquired.
In step S706, the user's recent remarks are acquired.
In step S708, the keyword KW is extracted from the utterance. The keyword KW may be a predetermined word or the like.

In step S710, a keyword score is calculated (for example, it may be calculated using a word score (tf * IDF product) * speaking distance score).
In step S712, a related topic is created or specified from the keyword KW and added to the score.
In step S714, the utterance record is linked to the related topic (for example, a record in which the utterance is associated with the topic is generated).
In step S716, it is determined whether or not processing has been performed for all keywords KW. If the processing has been performed for all keywords KW, the process proceeds to step S720. Otherwise, the process proceeds to step S718.
In step S718, the process proceeds to the next keyword KW.
In step S720, it is determined whether or not processing has been performed for all utterances. If it has been performed for all utterances, the process proceeds to step S724. Otherwise, the process proceeds to step S722.
In step S722, the process proceeds to the next statement.

In step S724, it is determined whether or not processing has been performed for all users. If it has been performed for all users, the process proceeds to step S728, and otherwise, the process proceeds to step S726.
In step S726, the process proceeds to the next user.
In step S728, related topics are sorted by score, and the top N items are extracted. N is a predetermined number (may differ from N in step S628).
In step S730, it is determined whether or not the processing has been performed for all the circles. If the processing has been performed for all the circles, the processing ends (step S799). Otherwise, the processing proceeds to step S732.
In step S732, the process proceeds to the next circle.

FIG. 8 is a flowchart showing a processing example according to the present exemplary embodiment (peripheral topic selection module 130).
In step S802, all records of peripheral topics are extracted. The target data here is a list of peripheral topics. The list has peripheral topics, keywords, and scores.
In step S804, related topics including the same keyword KW are extracted and sorted in descending order by score.
In step S806, a new score is calculated for the related topic. For example, the calculation is performed using SQRT (score of peripheral topics * score of related topics).
In step S808, a new peripheral related topic record is generated. For example, it includes a keyword KW, a place, a topic in a circle, a new score, and a list of statements.
In step S810, the MAX score (maximum score value) is updated if necessary.

In step S812, it is determined whether or not processing has been performed for all circles or the score is equal to or less than the threshold of the MAX score, and processing has been performed for all circles or the threshold of the score is the MAX score. If so, the process proceeds to step S816; otherwise, the process proceeds to step S814.
In step S814, the process proceeds to the next circle.
In step S816, it is determined whether or not processing has been performed for all keywords KW or whether the score is equal to or less than the threshold of the MAX score, and processing has been performed for all keywords KW, or the score is MAX score. If it is equal to or smaller than the threshold value, the process is terminated (step S899), and otherwise, the process proceeds to step S818. The output data here is a list of peripheral related topics, and is composed of peripheral related topics, keywords, scores, topics, and places.
In step S818, the process proceeds to the next keyword KW.

FIG. 9 is a flowchart illustrating a processing example according to the present exemplary embodiment (peripheral information selection module 150).
In step S902, a search is made for advertisement information that is close to the position. The target data here is a list of peripheral related topics, and is composed of peripheral related topics, keywords, and scores.
In step S904, a peripheral related information record is created for the advertisement information.
In step S906, a corresponding peripheral related topic in which the keyword KW matches the keyword KW of the advertisement information is searched.
In step S908, the score of the peripheral related topic is added to the topic score (topic score 2).
In step S910, it is determined whether or not processing has been performed for all peripheral related topics. If the processing has been performed for all peripheral related topics, the process proceeds to step S914, and otherwise, the process proceeds to step S912.
In step S912, the process proceeds to the next peripheral topic.

In step S914, it is determined whether or not processing has been performed for all keywords KW. If the processing has been performed for all keywords KW, the process proceeds to step S918; otherwise, the process proceeds to step S916.
In step S916, the process proceeds to the next keyword KW.
In step S918, a total score (total score 1) is calculated.
In step S920, it is determined whether or not the process has been performed on all advertisement information. If the process has been performed on all advertisement information, the process ends (step S999). Otherwise, the process proceeds to step S922. .
In step S922, the process proceeds to the next advertisement information.

FIG. 10 is an explanatory diagram showing a processing example according to the present embodiment.
As shown in the example of FIG. 10A, an example in which peripheral related information 450 generated by the peripheral information selection module 150 is displayed on the display device of the mobile terminal 180 is shown.
The example of FIG. 10B shows a display of a map of the entire periphery of the mobile terminal 180. A map of the periphery is displayed from the position (position 480, position / direction data 1048) where the user 380 is present, and spots indicated in the peripheral related information 450 are plotted in the map. A self-position icon 1020 is shown in the map, and a spot 1040a, a spot 1040b, a spot 1040c, and a spot 1040d are shown. When the topic selection area 1030 is selected, the interests of the user 380 are listed and can be selected. The entire interest can also be selected.
In each spot, topic score 2 and the number of friends are displayed. Here, the number of friends is indicated by a number in an asterisk, and the topic score 2 is expressed by the size of a character. It may be expressed by other methods.
Further, as a history display, characters in the spot may be expressed lightly so that the place where the spot has been performed can be understood. Further, a display indicating the degree of congestion may be added.

Here, when the spot 1040b is selected by the user 380, a content display screen 1050 is displayed as shown in the example of FIG. The content display screen 1050 displays the above-mentioned map lightly and displays a content display area 1060 thereon. For example, “Copyright Seminar 14: 00-15: 30 Law Hall No. 1 Building No. 2 Speaker: Hironosuke Hirosawa Contents: The extension of the copyright holding period is being discussed. Analyze from the standpoint. “Recommended 7 users” is displayed.
When the message display section (“7 users” with an underline) in the content display area 1060 is selected, a message display screen 1070 is displayed as shown in the example of FIG. In the comment display screen 1070, a comment related to the content in the content display area 1060 is displayed for each speaker (user).

FIG. 11 is an explanatory diagram showing a processing example according to the present embodiment. This shows an example in which the peripheral related information 450 generated by the peripheral information sorting module 150 is displayed on the display device (digital signage, large display) of the information presentation device 190.
On the signage display screen 1100, a map of the entire periphery of the information presentation device 190 is displayed. The spots shown in the peripheral related information 450 are plotted in the map. In the map, a self-position icon 1120 that is the position of the mobile terminal 180 is shown, and a place where each user is present. Then, the spots in the peripheral related information 450 are displayed by color for each topic classified by the circle. On the other hand, items other than the topics classified in the circle are displayed as events outside the range of interest (simple black and white display). When a spot is selected, its contents are displayed as in the contents display area 1160. Further, a locus indicating that the mobile terminal 180 has moved may be displayed by a dotted line or the like from the history of the position of the mobile terminal 180.
Further, the detailed information of the spot selected on the signage display screen 1100 may be downloaded to the mobile terminal 180. With the downloaded detailed information, the related remarks of the user (friend) belonging to the same circle may be displayed as shown in the example of FIG. Then, the user may navigate to a designated spot (display a route, etc.) using the downloaded position information.

FIG. 12 is an explanatory diagram showing a processing example according to the present embodiment. This shows an example in which the peripheral related information 450 generated by the peripheral information selection module 150 is printed by the printer 1210 of the information presentation device 190.
The signage display screen 1100 shown in the example of FIG. 12A is the same as that shown in the example of FIG. Here, when a spot displayed on the signage display screen 1100 is selected, the printer 1210 prints a printed material 1220. For example, the information for which “Like” is selected may be selected from the signage display screen 1100 and the detailed information may be printed as the printed matter 1220. Further, the advertisement display area 1230 may be printed on the printed material 1220. The fee for the printing may be borne by the advertiser in the advertisement display area 1230.

  The hardware configuration of the computer on which the program according to the present embodiment is executed is a general computer, specifically a personal computer, a computer that can be a server, or the like, as illustrated in FIG. That is, as a specific example, the CPU 1301 is used as a processing unit (calculation unit), and the RAM 1302, the ROM 1303, and the HD 1304 are used as storage devices. As the HD 1304, for example, a hard disk or an SSD (Solid State Drive) may be used. CPU 1301 for executing programs such as the peripheral topic extraction module 110, the related topic extraction module 120, the peripheral topic selection module 130, the peripheral information selection module 150, a RAM 1302 for storing the programs and data, and a program for starting the computer ROM 1303 in which data is stored, an HD 1304 which is an auxiliary storage device (may be a flash memory or the like), a reception device 1306 that receives data based on user operations on a keyboard, mouse, touch panel, and the like, and a CRT , An output device 1305 such as a liquid crystal display, a communication line interface 1307 for connecting to a communication network such as a network interface card, and a bus 13 for connecting them to exchange data It is constituted by 8. A plurality of these computers may be connected to each other via a network.

Among the above-described embodiments, the computer program is a computer program that reads the computer program, which is software, in the hardware configuration system, and the software and hardware resources cooperate with each other. Is realized.
Note that the hardware configuration illustrated in FIG. 13 illustrates one configuration example, and the present embodiment is not limited to the configuration illustrated in FIG. 13, and is a configuration that can execute the modules described in the present embodiment. I just need it. For example, some modules may be configured with dedicated hardware (for example, ASIC), and some modules may be in an external system and connected via a communication line. A plurality of systems shown in FIG. 5 may be connected to each other via communication lines so as to cooperate with each other. In particular, in addition to a personal computer, it may be incorporated in an information appliance, a copier, a fax machine, a scanner, a printer, a multi-function machine, or the like.

The program described above may be provided by being stored in a recording medium, or the program may be provided by communication means. In that case, for example, the above-described program may be regarded as an invention of a “computer-readable recording medium recording the program”.
The “computer-readable recording medium on which a program is recorded” refers to a computer-readable recording medium on which a program is recorded, which is used for program installation, execution, program distribution, and the like.
The recording medium is, for example, a digital versatile disc (DVD), which is a standard established by the DVD Forum, such as “DVD-R, DVD-RW, DVD-RAM,” and DVD + RW. Standard “DVD + R, DVD + RW, etc.”, compact disc (CD), read-only memory (CD-ROM), CD recordable (CD-R), CD rewritable (CD-RW), Blu-ray disc ( Blu-ray (registered trademark) Disc), magneto-optical disk (MO), flexible disk (FD), magnetic tape, hard disk, read-only memory (ROM), electrically erasable and rewritable read-only memory (EEPROM (registered trademark)) )), Flash memory, Random access memory (RAM) SD (Secure Digital) memory card and the like.
The program or a part of the program may be recorded on the recording medium for storage or distribution. Also, by communication, for example, a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a wired network used for the Internet, an intranet, an extranet, or a wireless communication It may be transmitted using a transmission medium such as a network or a combination of these, or may be carried on a carrier wave.
Furthermore, the program may be a part of another program, or may be recorded on a recording medium together with a separate program. Moreover, it may be divided and recorded on a plurality of recording media. Further, it may be recorded in any manner as long as it can be restored, such as compression or encryption.

DESCRIPTION OF SYMBOLS 100 ... Information processing apparatus 110 ... Neighbor topic extraction module 120 ... Related topic extraction module 130 ... Neighbor topic selection module 140 ... Information holding module 150 ... Neighbor information selection module 170 ... SNS information storage module 175 ... User relation storage module 180 ... Mobile terminal 190 ... Information presentation device

Claims (7)

A receiving means for receiving the user's position;
First extraction means for extracting a topic from a remark of a second user related to the user;
Second extraction means for extracting information related to the position;
A third extracting unit for extracting information related to the topic extracted by the first extracting unit from the information extracted by the second extracting unit ;
The first extraction means includes
A fourth extraction means for extracting a topic from the remarks of a third user other than the user at the position;
Fifth extraction means for extracting a topic from the remarks of the second user;
Sixth extracting means for extracting a topic common to the topic extracted by the fourth extracting means and the topic extracted by the fifth extracting means
An information processing apparatus comprising: The information processing apparatus according to claim 1, further comprising: generation means for generating information for presenting the information extracted by the third extraction means to the user. The information generated by the generating means, wherein the user mobile information terminal in possession, or to a display device or printing device located in the vicinity of a position where there are the user, according to claim 2, further comprising a transmitting means for transmitting the information processing apparatus according to. An information processing apparatus according to claim 3 ;
An information processing system comprising: the portable information terminal that receives information transmitted from a transmission unit of the information processing device and presents the information; the display device that presents the information; or the printing device that prints the information . Computer
A receiving means for receiving the user's position;
First extraction means for extracting a topic from a remark of a second user related to the user;
Second extraction means for extracting information related to the position;
Functioning as third extraction means for extracting information related to the topic extracted by the first extraction means from the information extracted by the second extraction means ,
The first extraction means includes
A fourth extraction means for extracting a topic from the remarks of a third user other than the user at the position;
Fifth extraction means for extracting a topic from the remarks of the second user;
Sixth extracting means for extracting a topic common to the topic extracted by the fourth extracting means and the topic extracted by the fifth extracting means
Because of the information processing program to function as. A first extraction means for extracting a topic from a remark of a second user related to the user;
Second extraction means for extracting information related to the user's location;
Third extraction means for extracting information related to the topic from the information
With
The first extraction means includes
The second topic is extracted from the remarks of the third user other than the user at the position,
Extract a third topic from the remarks of the second user,
Extracting a topic common to the second topic and the third topic;
Information processing device. Computer
A first extraction means for extracting a topic from a remark of a second user related to the user;
Second extraction means for extracting information related to the user's location;
Third extraction means for extracting information related to the topic from the information
Function as
The first extraction means includes
The second topic is extracted from the remarks of the third user other than the user at the position,
Extract a third topic from the remarks of the second user,
Extracting a topic common to the second topic and the third topic;
Information processing program.

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