JP6570712B2 - Information processing apparatus, information processing method, and information processing program - Google Patents

Description

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

  Conventionally, a page where a point candidate existing around a stop position obtained by a position measuring device is extracted as a peripheral point candidate from a large number of point candidates stored in the storage unit, and facility information of the peripheral point candidate is used. A content creation support apparatus that supports creation of content having a configuration is known (see Patent Document 1).

JP 2010-146173 A

  However, it cannot be added to the content unless it is location information of the point visited by the user. For this reason, the convenience at the time of creating content was not sufficient.

  The present application has been made in view of the above, and an object of the present invention is to provide an information processing apparatus, an information processing method, and an information processing program that can improve convenience when creating content with location information added. To do.

  An information processing apparatus according to the present application includes a content acquisition unit, a position candidate extraction unit, and a position information determination unit. The content acquisition unit acquires content that is a target to which position information that is information on a geographical position is added. The position candidate extraction unit extracts a plurality of position candidates including a first position candidate and a second position candidate from the content acquired by the content acquisition unit. The position information determination unit is based on a distance between a geographical position specified by the first position candidate extracted by the position candidate extraction unit and a geographical position specified by the second position candidate. The position information to be added to the content or a candidate for the position information is determined. When there are a plurality of geographical positions specified by the first position candidates, the position information determination unit determines the geographical positions specified by the first position candidates and the second position candidates. Based on the attribute information of the user who viewed the content or the attribute information of the user who created the content, before or after narrowing down the geographical position of the first position candidate based on the distance to the target position, The geographical position of the first position candidate is narrowed down.

  According to one embodiment of the present invention, it is possible to provide an information processing apparatus, an information processing method, and an information processing program that can improve convenience when creating content with location information added.

FIG. 1 is an explanatory diagram of information processing according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the information processing system according to the embodiment. FIG. 3 is a diagram illustrating an example of a position information table stored in the position information storage unit of the information processing apparatus according to the embodiment. FIG. 4 is a diagram illustrating an example of a user information table stored in the user information storage unit of the information processing apparatus according to the embodiment. FIG. 5 is a diagram illustrating an example of a content table stored in the content storage unit of the information processing apparatus according to the embodiment. FIG. 6 is a diagram illustrating an example of a content browsing screen according to the embodiment. FIG. 7 is a diagram illustrating an example of a content posting screen according to the embodiment. FIG. 8 is a diagram illustrating an example of a confirmation screen according to the embodiment. FIG. 9 is a diagram illustrating an example of a position selection confirmation screen according to the embodiment. FIG. 10 is a flowchart illustrating an example of a flow of information processing in the control unit of the information processing apparatus. FIG. 11 is a diagram illustrating an example of the position candidate determination process in step S12 illustrated in FIG. FIG. 12 is a diagram illustrating an example of a hardware configuration of a computer that executes an information processing program.

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

[1. Information processing method]
Information processing according to the embodiment will be described with reference to FIG. FIG. 1 is an explanatory diagram of information processing according to the embodiment. In the present embodiment, information processing is performed by an information processing apparatus that acquires content and provides the acquired content.

  The user who is the content contributor posts the content to the information processing device using the terminal device (step S1). The content posted by the user is, for example, content posted on news, blogs (including miniblogs), SNS (Social Networking Service), and the like. The content includes, for example, text, images, moving images, and the like. In the following description, the content is assumed to be articles such as news, blogs, and SNS.

  When the information processing apparatus acquires the content posted from the user's terminal device, the information processing apparatus extracts a position candidate Cp from the body of the acquired content (step S2). In the example illustrated in FIG. 1, words (words) of “prefectural office”, “BBBB shop”, “Yamaguchi”, “Okinawa”, and “Okinawa” are extracted as the position candidates Cp. For example, the information processing apparatus extracts a plurality of words by performing morphological analysis on the body of the content. The information processing apparatus can extract position candidates Cp from among the extracted words using, for example, GIS (Geographic Information System) information or a position dictionary.

  Next, the information processing apparatus determines position information that is position information that is information on a geographical position and is added to content based on the plurality of position candidates Cp extracted in step S2 (step S3). The position information storage unit of the information processing apparatus stores a plurality of pieces of position information that are information regarding points and regions. The information processing apparatus can determine the position information to be added to the content based on the distance D between the position candidates Cp and the position information stored in the position information storage unit.

  For example, when there are a plurality of geographical positions specified by the position candidates Cp based on the position information stored in the position information storage unit, the information processing apparatus is distanced from the geographical positions specified by the other position candidates Cp. The geographical position can be narrowed down by D. Here, it is assumed that the position information storage unit includes position information of “BBBB Yanaha store” and position information of “BBBB ya Roppongi store”.

  The position candidate Cp extracted in the process of step S2 described above includes “Okinawa” as information indicating the address, but the distance between “BBBB Yanaha store” and Okinawa is zero, “BBBB ya Roppongi store” and Okinawa are separated by a predetermined distance Dth or more. Therefore, the information processing apparatus determines that “BBBB shop” of the position candidate Cp is “BBBB Yanaha store”, and determines position information indicating “BBBB Yanaha store” as position information to be added to the content.

  In this way, the information processing apparatus, when there are a plurality of geographical positions specified by the position candidate Cp (hereinafter referred to as the first position candidate Cp1) that is a position determination target, The degree of ambiguity can be reduced. Then, the information processing apparatus can determine the first position candidate Cp1 with reduced ambiguity as position information.

  That is, the information processing apparatus determines the distance between each geographical position specified by the first position candidate Cp1 and the geographical position specified by another position candidate Cp (hereinafter referred to as the second position candidate Cp2). Based on the above, the geographical position of the first position candidate Cp1 can be narrowed down. Therefore, even if the position candidate Cp has a high degree of ambiguity in the geographical position, the geographical position can be accurately determined. The information processing apparatus can determine the geographical position of the first position candidate Cp1 thus narrowed down as position information to be added to the content.

  Further, the ambiguous word storage unit of the information processing apparatus stores words that may indicate a geographical position and may indicate a meaning other than the geographical position (hereinafter may be described as ambiguous words). For example, in the ambiguous word storage unit, “Yamaguchi”, which is commonly used for the personal name and the prefecture name among the prefecture names, is stored as the ambiguous word.

  In the example described above, the position candidates Cp include “Okinawa” and “Yamaguchi”, but “Okinawa” and “Yamaguchi” are separated from each other. The plurality of position candidates Cp extracted in step S2 include two “Okinawa”, and “BBBB shop” is “BBBB Yanaha shop”, so the content is related to “Okinawa”. is there.

  Therefore, the information processing apparatus assumes that the first position candidate Cp1 “Yamaguchi” has a distance D from the “Okinawa” of the second position candidate Cp2 that is equal to or greater than the predetermined distance Dth. It is determined that “Yamaguchi” is the name of the person and is excluded from the position information added to the content. In addition, since the information processing device excludes “Yamaguchi” from “Okinawa” and “Yamaguchi” related to “Prefectural Office”, it determines that “Prefectural Office” is “Okinawa Prefectural Office”, and the position of “Okinawa Prefectural Office” Information is determined as position information to be added to the content. The information processing apparatus adds the determined position information to the content and stores it in the content storage unit of the information processing apparatus (step S4).

  As described above, the information processing apparatus uses the first position candidate Cp1 based on the distance D between the geographical position specified by the first position candidate Cp1 and the geographical position specified by the second position candidate Cp2. Whether or not indicates a geographical location. When the information processing apparatus determines that the first position candidate Cp1 does not indicate a geographical position, the information processing apparatus does not determine the first position candidate Cp1 as position information. Therefore, even if the position candidate Cp has a high degree of attribute ambiguity, it is possible to accurately distinguish the attribute of the position candidate Cp (for example, whether the attribute is a place name attribute or a person name attribute).

[2. Configuration of information processing system]
FIG. 2 is a diagram illustrating a configuration example of the information processing system according to the embodiment. As illustrated in FIG. 2, the information processing system 100 according to the embodiment includes an information processing device 1 and a plurality of terminal devices 2 ₁ to 2 _n (n is an integer of 2 or more).

The information processing apparatus 1 and a plurality of terminal apparatuses 2 ₁ to 2 _n (hereinafter sometimes referred to as terminal apparatuses 2) are connected to each other via a network 3 so that they can communicate with each other by wire or wirelessly. The network 3 is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet. The terminal devices 2 _{1 to} 2 _n are operated by users U _{1 to} U _n (hereinafter may be collectively referred to as a user U).

  Each user U is a contributor who provides content or a viewer who browses content. Note that the content may be reproduced by a browser of the terminal device 2 or may be reproduced by an application program of the terminal device 2.

[2.1. Configuration of terminal device]
The terminal device 2 is, for example, a smartphone, a tablet-type terminal, a PDA (Personal Digital Assistant), a personal computer, or the like, and includes a communication unit 10, a control unit 11 (controller), a display unit 12, an operation unit 13, and storage. Part 14.

  The control unit 11 includes a microcomputer having a central processing unit (CPU), a read only memory (ROM), a random access memory (RAM), an input / output port, and various circuits. The display unit 12 is, for example, an LCD (Liquid Crystal Display), and the operation unit 13 is, for example, a keyboard or a touch panel. The function of the control unit 11 is realized, for example, when the CPU reads and executes an application program stored in the ROM.

  The control unit 11 detects an operation of the user U on the operation unit 13 and transmits a request corresponding to the operation to the information processing apparatus 1. In addition, the control unit 11 can display various screen information transmitted from the information processing apparatus 1 and information corresponding to the input operation to the operation unit 13 of the user U on the display unit 12.

  In addition, the control unit 11 can transmit articles such as news and blogs created in response to an operation on the operation unit 13 by the user U to the information processing apparatus 1. In the following description, it is assumed that the content posted to the information processing device 1 is an article, but the content posted to the information processing device 1 is content other than an article (for example, audio content, music content, video content) Etc.).

[2.2. Configuration of information processing apparatus]
The information processing apparatus 1 includes a communication unit 20, a storage unit 21, and a control unit 22 (controller), and provides a content service. A user U of the terminal device 2 can post content to the information processing device 1 or browse content posted to the information processing device 1.

[2.2.1. Communication unit 20]
The communication unit 20 is a communication interface that transmits and receives information to and from the network 3, and connects to the network 3 by wire or wirelessly. The control unit 22 can transmit and receive various types of information to and from the terminal device 2 via the communication unit 20 and the network 3.

[2.2.2. Storage unit 21]
The storage unit 21 includes a position information storage unit 23, a user information storage unit 24, a content storage unit 25, and an ambiguous word storage unit 26. The position information storage unit 23, the user information storage unit 24, the content storage unit 25, and the ambiguous word storage unit 26 are, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as an HDD (Hard Disk Drive) or an optical disk. It is.

  The position information storage unit 23 stores a position information table including information regarding each position. FIG. 3 is a diagram illustrating an example of the position information table stored in the position information storage unit 23. The position information table 27 illustrated in FIG. 3 includes information in which “position name”, “latitude / longitude”, “category”, “address”, “separate notation”, “area code”, and the like are associated with each “position ID”. It is.

  “Position ID” is identification information of a position (for example, a point, an area, etc.). “Position name” is a name of the position specified by the position ID, and includes, for example, a restaurant name, an accommodation facility name, a landmark name, a railway line name, a historic site name, a region name, and the like. “Latitude / longitude” is information indicating the latitude / longitude of the position specified by the position ID. “Category” is the type of the position associated with the position ID, for example, the type of the store at the position specified by the position ID.

  “Address” is the address of the position specified by the position ID. Such an address is specified by the prefecture name, city name (or ward), character and address, but if the position specified by the position ID indicates a region (for example, a city or a prefecture) The specified address is set in “Address” of the position information table 27. For example, when the position specified by the position ID is a municipality (or ward), the address of the position specified by the position ID does not include letters and addresses.

  “Separate notation” is a name of the position specified by the position ID, and is a name called other than “position name”. For example, other notations include abbreviations and common names. The “area code” is a code that indicates the area to which the address belongs stepwise.

  The user information storage unit 24 stores, for example, a user information table including information indicating the attribute of the user U (hereinafter, sometimes referred to as attribute information). FIG. 4 is a diagram illustrating an example of the user information table. As shown in FIG. 4, in the user information table 28, “demographic attribute”, “psychographic attribute”, “action history”, and the like are associated with each “user ID”. The user information table 28 includes “password” and the like.

  “User ID” is information of an identifier for identifying the user U, and is, for example, an account of the user U. “Demographic attribute” indicates demographic user U attribute information. Such “demographic attributes” are classified into attribute categories such as “gender” and “age” of the user U, for example. The sex of the user U is set in “gender”, and the age of the user U is set in “age”. The “demographic attribute” is not limited to the example of the attribute classification shown in FIG. 4, and includes various attribute classifications such as the occupation, work place, family structure, annual income, address, hometown, educational background of the user U. Also good.

  The “psychographic attribute” is information indicating the user U's values, lifestyle, personality, preferences, and the like. Such “psychographic attributes” are classified into attribute categories such as “clothes” and “travel”, for example. In the example illustrated in FIG. 4, “1” is set when the preference of the user U is relatively high for each attribute category. “Psychographic attributes” are not limited to the attribute classification examples shown in FIG. 4, but include various attribute classifications such as economy, politics, baseball, soccer, other sports, sweets, personal computers, white goods, furniture, etc. May be.

  “Behavior history” is information on the behavior history of the user U. The user U's behavior history information includes, for example, the content browsing history of the user U, the purchase history information of the user U's products and services, the user U event participation history information, the user U movement history information, and the like. is there. The content browsing history includes the browsing date and content ID of the content provided by the information processing apparatus 1.

  The content storage unit 25 stores a content table including information related to content. FIG. 5 is a diagram illustrating an example of a content table stored in the content storage unit 25. The content table 29 illustrated in FIG. 5 is information in which “user ID”, “data”, “position information”, and the like are associated with each “content ID”.

  “Content ID” is content identification information. “User ID” is the user ID of the user U who posted the content. “Data” is content data. The “data” may not be the content data itself, and may be data indicating the storage location of the content in the content storage unit 25, for example.

  “Position information” is position information associated with the content by the control unit 22. The position information shown in FIG. 5 is a position name, but the “position information” in the content table 29 may be information for specifying a position, and may be a position ID, for example, other than the position name. It may be information (for example, latitude / longitude or area code).

  The ambiguous word storage unit 26 stores words that may indicate a geographical position and may indicate a meaning other than the geographical position (hereinafter may be referred to as an ambiguous word). For example, the ambiguous word storage unit 26 stores words commonly used for place names and personal names such as “Yamaguchi”, “Fukuoka”, “Kagawa”, and “Kasuga”. The ambiguous word storage unit 26 stores words commonly used for place names and companies, and words commonly used for place names and product names. In addition, the word memorize | stored in the ambiguous word memory | storage part 26 may be a word used in common with a thing other than a person name, a place name, and a product name.

[2.2.3. Control unit 22]
The control unit 22 includes, for example, a microcomputer having a CPU, a ROM, a RAM, an input / output port, and various circuits. As shown in FIG. 2, the control unit 22 includes a content reception unit 30, a content acquisition unit 31, a position candidate extraction unit 32, a position information determination unit 33, and a content provision unit 34. The functions of the content reception unit 30, the content acquisition unit 31, the position candidate extraction unit 32, the position information determination unit 33, and the content provision unit 34 are, for example, programs stored in the ROM of the control unit 22 by the CPU of the control unit 22 This is realized by reading and executing.

  The content accepting unit 30, the content obtaining unit 31, the location candidate extracting unit 32, the location information determining unit 33, and the content providing unit 34 are each partially or entirely ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array). ) Or the like.

[2.2.3.1. Content accepting unit 30]
The content receiving unit 30 receives content postings from the terminal device 2 via the network 3 and the communication unit 20. The content receiving unit 30 sets the content received from the terminal device 2 in the content table 29.

[2.2.3.2. Content acquisition unit 31]
The content acquisition unit 31 acquires content from the content table 29 stored in the content storage unit 25. The content acquisition unit 31 can also acquire the content received by the content reception unit 30 from the content reception unit 30.

[2.2.2.3. Position candidate extraction unit 32]
The position candidate extraction unit 32 analyzes information on the position indicated by the content acquired by the content acquisition unit 31. The position candidate extraction unit 32 can extract a plurality of position candidates Cp from the body of an article as content (hereinafter referred to as target text).

  The position candidate extraction unit 32 performs text analysis on the target text to extract “tags” that are position candidates Cp from the target text. A “tag” is a word that is regarded as a group of semantic information. For example, a spot name such as a restaurant name, an accommodation facility name, a landmark name, a railway line name, a historic site name, or the like corresponds to the tag.

  For example, the position candidate extraction unit 32 can extract a tag from a plurality of words (words) obtained as a result of morphological analysis of the target text using GIS information, a tag dictionary, or the like. In addition, the position candidate extraction unit 32 ranks each word (word) obtained as a result of morphological analysis of the target text by assigning a high score to a word having a specific meaning, and ranks the higher rank. By narrowing down, tags can be extracted. The score given to the word when extracting the tag is calculated based on tf-idf in the corpus. Such a score may also be used as a score for the extracted tag.

  In addition, when the target text includes a region name, the position candidate extraction unit 32 can extract the region name as a position candidate Cp. The region name is, for example, a prefecture name, a municipality name, a ward name, etc., and can be a part of an address. The position candidate extraction unit 32 extracts a word regarded as a region name as a position candidate Cp from among a plurality of words obtained as a result of morphological analysis of the target text, using GIS information, a region name dictionary, or the like. Can do.

  As described above, the position candidate extraction unit 32 can extract a plurality of position candidates Cp from the target text. The position candidate extraction unit 32 can extract a plurality of position candidates Cp by using an API (Application Programming Interface) that determines whether the word is a tag or a region name when a word is input.

  In addition, when the content is a moving image, the position candidate extraction unit 32 can convert sound included in the moving image into text, and extract a plurality of position candidates Cp from the converted text. Further, the position candidate extraction unit 32 can extract an image included in the content and derive a tag and a region name from the extracted image by using an API that outputs a tag and a region name from the image.

  The position candidate extraction unit 32 can extract at least a part of the “address” from the target text by converting the landmark name into an address. For example, the position candidate extraction unit 32 can extract “Oshiage, Sumida-ku, Tokyo” as the position candidate Cp from the target text “Go to Sky Tree” including the landmark name as the area where the Tokyo Sky Tree is located. .

[2.2.3.4. Position information determination unit 33]
The position information determination unit 33 includes one or more position information to be added to the content based on the plurality of position candidates Cp extracted by the position candidate extraction unit 32 and the position information table 27 stored in the position information storage unit 23. To decide.

  The position information determination unit 33 determines position information to be added to the content based on the distance D between the geographical position specified by the first position candidate Cp1 and the geographical position specified by the second position candidate Cp2. can do. The first position candidate Cp1 is a position candidate Cp that is a target for reducing the degree of ambiguity, and the second position candidate Cp2 is defined as the first position candidate Cp1 in order to reduce the degree of ambiguity of the first position candidate Cp1. Is a position candidate Cp to be compared.

  The position information determination unit 33 includes a determination unit 41, a determination unit 42, and an addition unit 43. The determination unit 41 can execute a sorting process, a first narrowing process, and a second narrowing process. The sorting process is a process of determining a position candidate Cp that does not indicate a geographical position based on the distance D. The first narrowing-down process is a process of narrowing down the geographical positions of the position candidates Cp having a plurality of geographical position candidates based on the distance D. The second narrowing process is a process of narrowing down the geographical position of the position candidate Cp based on the attribute information of the user U.

(Sorting process)
First, the selection process by the determination unit 41 will be described. The determination unit 41 determines whether or not the first position candidate Cp1 matches the ambiguous word stored in the ambiguous word storage unit 26. For example, when the first position candidate Cp1 is “Yamaguchi”, it is determined that it matches the ambiguous word.

  When the first position candidate Cp1 is an ambiguous word, the determination unit 41 sets the distance D between the geographical position specified by the first position candidate Cp1 and the geographical position specified by the second position candidate Cp2. Based on this, it is determined whether or not the first position candidate Cp1 indicates a geographical position.

Here, out of the plurality of position candidates Cp extracted by the position candidate extraction unit 32, there are not a plurality of geographical position candidates and there are three second position candidates Cp2 that are not ambiguous words. Let Cp2 ₁ to Cp2 ₃ be position candidates Cp2. The distance D between the geographical position specified by the first position candidate Cp1 and the geographical positions specified by the three second position candidates Cp2 _{1 to} Cp2 ₃ is defined as distances D _{1 to} D ₃ .

In this case, the determination unit 41 determines that the first position candidate Cp1 indicates a geographical position when the average value Dav of the distances D _{1 to} D ₃ is less than the threshold value Dth1. The determination unit 41 can determine that the first position candidate Cp1 does not indicate a geographical position when the average value Dav is equal to or greater than the threshold value Dth1.

The determination unit 41, when the distance _D 1 average value Dav of to D ₃ is less than the threshold value Dth1 and standard deviation of the distance _D 1 to D ₃ sigma is within threshold? Th, the first position candidate Cp1 Determined to indicate geographic location. The determination unit 41, when the average value Dav of the distance _D 1 to D ₃ is the standard deviation σ of the threshold Dth1 than or distance _D 1 to D ₃ is not within the threshold? Th, the first position candidate Cp1 geographical position It can also be determined not to indicate.

  In addition, when the distance D between the determination unit 41 and the second position candidate Cp2 closest to the position of the first position candidate Cp1 in the target text is less than the threshold value Dth2, the first position candidate Cp1 is Determined to indicate geographic location. In addition, when the distance D between the determination unit 41 and the second position candidate Cp2 closest to the position of the first position candidate Cp1 in the target text is equal to or greater than the threshold Dth2, the first position candidate Cp1 is It can be determined that no geographical location is indicated. For example, in the text of the content shown in FIG. 1, “Yamaguchi” is the first position candidate Cp1, and the second position candidate Cp2 closest to “Yamaguchi” is “Okinawa”.

  When the determination unit 41 has a distance D to each second position candidate Cp2 located within a predetermined range W (for example, within 50 characters before and after) from the position of the first position candidate Cp1 in the target text is less than the threshold Dth3 In addition, it can be determined that the first position candidate Cp1 indicates a geographical position. In addition, the determination unit 41 determines the first position when the distance D from each position of the first position candidate Cp1 in the target text to each second position candidate Cp2 located in the predetermined range W is equal to or greater than the threshold value Dth3. It can be determined that the candidate Cp1 does not indicate a geographical location.

  Here, it is assumed that the predetermined range W is within 50 characters before and after and “Yamaguchi” is the first position candidate Cp1 in the body of the content shown in FIG. In addition, it is assumed that “BBBB store” includes “BBBB store Naha store” and “BBBB store Roppongi store” as position information in the position information table 27. Further, it is assumed that the threshold value Dth3 is 50 km.

In this case, the position candidates Cp within the predetermined range W are the three position candidates Cp closest to “Yamaguchi”: “BBBB shop”, “Okinawa”, and “Okinawa”. Since there are a plurality of geographical position candidates in “BBBB shop”, there are two second position candidates Cp2 of “Okinawa” and “Okinawa”. The distance between “Yamaguchi” and “Okinawa” is 50 km or more. Therefore, the determination unit 41
It is determined that “Yamaguchi” does not indicate a geographical location.

(First narrowing process)
Next, the first narrowing process by the determination unit 41 will be described. Based on the position information table 27, the determination unit 41 determines whether or not there is a position candidate Cp having a plurality of candidates for geographical positions among the position candidates Cp extracted from the content. For example, it is assumed that the position information table 27 includes information on two positions, “BBBB shop Roppongi store” and “BBBB shop Naha store”. In this case, when the position candidate Cp extracted from the content is “BBBB shop”, the determination unit 41 determines that “BBBB shop” is a position candidate Cp having a plurality of geographical position candidates.

  The determination unit 41 sets the position candidate Cp having a plurality of geographical position candidates as the first position candidate Cp1, and sets the other position candidates Cp as the second position candidate Cp2. Then, the determination unit 41 determines a plurality of geographical positions based on the distance D between each geographical position candidate specified by the first position candidate Cp1 and the geographical position specified by the second position candidate Cp2. The geographical position of the first position candidate Cp1 is narrowed down among the candidates.

  For example, the determination unit 41 selects a geographical position whose distance D from the geographical position specified by the second position candidate Cp2 among the plurality of geographical position candidates is within the threshold Dth4 as the first position candidate Cp1. It can be narrowed down as a geographical location. In addition, the determination unit 41 selects the geographical position having the closest distance D from the geographical position specified by the second position candidate Cp2 among the plurality of geographical position candidates, as the geographical position of the first position candidate Cp1. It can be determined as a position.

Here, it is assumed that there are two candidates for a plurality of geographical locations, “BBBB ya Roppongi store” and “BBBB yanaha store”. Further, it is assumed that there are not a plurality of geographical position candidates and three second position candidates Cp2 _{1 to} Cp2 ₃ that are not ambiguous words.

In this case, the determination unit 41 calculates distances D _{11 to} D ₁₃ that are three distances D between the “BBBB shop Roppongi store” and the geographical positions specified by the _three second position candidates Cp2 _{1 to} Cp2 _3. To do. In addition, the determination unit 41 calculates distances D _{21 to} D ₂₃ that are distances D between “BBBB Yanaha store” and the geographical positions specified by the _three second position candidates Cp2 _{1 to} Cp2 ₃ .

Then, the determination unit 41 determines one is the shorter of the mean value of the distance _D 11 average of _{to D 13} and the distance _D 21 _{to D 23.} When the average value of the distances D _{11 to} D ₁₃ is smaller than the average value of the distances D _{21 to} D ₂₃ , the determination unit 41 determines that “BBBB shop” is “BBBB shop Roppongi store”. The determination unit 41 determines, when the average value of the distance _D 11 _{to D 13} is greater than the average value of the distance _D 21 _{to D 23,} and "BBBB ya" is "BBBB ya Naha store".

  In addition, the determination unit 41 selects the first of the plurality of geographical position candidates based on the distance D to the second position candidate Cp2 that is closest to the position of the first position candidate Cp1 in the target text. The geographical position of one position candidate Cp1 can be determined. For example, in the body of the content illustrated in FIG. 1, the determination unit 41 includes “Okinawa”, which is a position candidate Cp that is not a plurality of geographical position candidates and is not an ambiguous word and is closest to “BBBB shop” Is a second position candidate Cp2.

  In this case, the determination unit 41 determines the distance D between the geographical location specified by “BBBB Yanaha store” and the geographical location specified by “Okinawa” and the geographical location specified by “BBBB ya Roppongi store”. A distance D between the position and the geographical position specified by “Okinawa” is calculated. The distance D between the geographical location specified by “BBBB Yanaha store” and the geographical location specified by “Okinawa” is specified by the geographical location specified by “BBBB Yoppa store” and “Okinawa”. Closer to the geographical location D. Therefore, the determination unit 41 determines that “BBBB shop” is “BBBB Yana shop”.

  In addition, the determination unit 41 sets the position candidate Cp located at a position within the predetermined range W from the position of the first position candidate Cp1 in the target text as the second position candidate Cp2, and selects the first among the plurality of geographical position candidates. The geographical position of the position candidate Cp1 can be narrowed down.

(Second narrowing process)
Next, the second narrowing process by the determination unit 41 will be described. Similar to the first narrowing-down process, the determination unit 41 determines whether there is a position candidate Cp having a plurality of geographical position candidates among the position candidates Cp extracted from the content, based on the position information table 27. To do. The determination unit 41 sets the position candidate Cp having a plurality of geographical position candidates as the first position candidate Cp1. The second narrowing process is performed after the first narrowing process, but may be performed before the first narrowing process.

  Further, the determination unit 41 determines the geographical position corresponding to the attribute information of the browsing user UA based on the attribute information of the user U who browsed the content including the target text (hereinafter referred to as the browsing user UA).

  Specifically, the determination unit 41 determines, based on the behavior history of the browsing user UA included in the user information table 28, the content most viewed by the browsing user UA or one or more contents whose browsing frequency is a predetermined value or more. Extract as content. The determination unit 41 determines a geographical position specified by a plurality of pieces of position information added to the determination target content.

  For example, the determination unit 41 counts a plurality of geographical positions specified by a plurality of position information added to the determination target content in units of regions (for example, units of municipalities or units of prefectures). And the determination part 41 can determine the area with the largest count as a geographical position corresponding to the attribute information of the browsing user UA.

  Further, the determination unit 41 determines the address of the browsing user UA based on the demographic attribute included in the user information table 28. The determination unit 41 can determine an area including the address of the browsing user UA as a geographical position corresponding to the attribute information of the browsing user UA.

  In addition, the determination unit 41 determines the browsing user UA's purchase history information from at least one of the browsing user UA product or service purchase history information, the browsing user UA event participation history information, and the browsing user UA movement history information. A geographical location corresponding to the attribute information can be determined.

  For example, based on the user information table 28, the determination unit 41 counts the addresses of a plurality of stores where the browsing user UA has purchased goods or services in units of regions, and sets the region with the largest count as attribute information of the browsing user UA. It can be determined as the corresponding geographical location. Further, the determination unit 41 counts the position where the browsing user UA has moved on a regional basis based on the user information table 28, and determines the area having the largest count as the geographical position corresponding to the attribute information of the browsing user UA. be able to.

  Based on the distance DA between each geographical position candidate specified by the first position candidate Cp1 and the geographical position corresponding to the attribute information of the viewing user UA, the determination unit 41 selects a plurality of geographical position candidates. From among them, the geographical position of the first position candidate Cp1 is narrowed down. The narrowing-down process is a process in which the “geographical position specified by the second position candidate Cp2” in the first narrowing-down process is replaced with “geographical position corresponding to the attribute information of the viewing user UA”. The threshold is different.

  For example, the determination unit 41 selects a geographical position whose distance DA to the geographical position corresponding to the attribute information of the viewing user UA among the plurality of geographical position candidates is within the threshold value Dth5, as the geographical position of the first position candidate Cp1. It can narrow down as a target position. In addition, the determination unit 41 selects the geographical position having the closest distance DA to the geographical position corresponding to the attribute information of the viewing user UA among the plurality of geographical position candidates, as the geographical position of the first position candidate Cp1. Can be determined as

  Further, the determination unit 41 replaces the viewing user UA with the geographical information corresponding to the attribute information of the posting user UB from the attribute information of the user U who posted the content including the target text (hereinafter referred to as the posting user UB). The position can also be determined.

  Specifically, the determination unit 41 extracts the content posted by the posting user UB as the determination target content based on the content included in the content table 29. The determination part 41 determines the geographical position specified by the several positional information added to the determination target content similarly to the process regarding the browsing user UA mentioned above.

  For example, the determination unit 41 counts a plurality of geographical positions specified by a plurality of position information added to the determination target content in units of regions (for example, units of municipalities or units of prefectures). And the determination part 41 can determine the area with the largest count as a geographical position corresponding to the attribute information of the posting user UB.

  Moreover, the determination part 41 respond | corresponds the area | region where the address of the posting user UB is included to the attribute information of the posting user UB based on the demographic attribute included in the user information table 28 similarly to the process regarding the browsing user UA described above. It can be determined as the geographical location to be.

  Moreover, the determination part 41 is similar to the process regarding the browsing user UA mentioned above, the purchase history information of the posting user UB, the participation history information of the posting user UB, and the movement history of the posting user UB. The geographical position corresponding to the attribute information of the posting user UB can be determined from at least one of the information.

  Based on the distance DB between each geographical position candidate identified by the first position candidate Cp1 and the geographical position corresponding to the attribute information of the posting user UB, the determination unit 41 determines a plurality of geographical position candidates. From among them, the geographical position of the first position candidate Cp1 is narrowed down. The narrowing-down process is a process in which “the geographical position specified by the second position candidate Cp2” in the first narrowing-down process is replaced with “the geographical position corresponding to the attribute information of the posting user UB”. The threshold is different.

  For example, the determination unit 41 selects a geographical position whose distance DB with the geographical position corresponding to the attribute information of the posting user UB among the plurality of geographical position candidates is within the threshold Dth6, as the geographical position of the first position candidate Cp1. It can narrow down as a target position. In addition, the determination unit 41 selects the geographical position having the closest distance DB to the geographical position corresponding to the attribute information of the posting user UB among the plurality of geographical position candidates, as the geographical position of the first position candidate Cp1. Can be determined as

  Note that the determination unit 41 adds at least one of the geographical position corresponding to the attribute information of the browsing user UA and the geographical position corresponding to the attribute information of the posting user UB as the second position candidate Cp2, and has been described above. The first narrowing process can also be performed. In this case, the determination unit 41 may not perform the second narrowing process.

  In addition, the determination unit 41 adds at least one of the geographical position corresponding to the attribute information of the viewing user UA and the geographical position corresponding to the attribute information of the posting user UB as the second position candidate Cp2, and has been described above. A sorting process can also be performed.

  The determination unit 42 illustrated in FIG. 2 determines the information of the first position candidate Cp1 determined by the determination unit 41 to indicate the geographical position as position information to be added to the content. Further, the determination unit 42 does not determine the information of the first position candidate Cp1 determined by the determination unit 41 to indicate no geographical position as the position information to be added to the content.

  Also, the determination unit 42 determines the information of the first position candidate Cp1 that has been narrowed down to one geographical position candidate by the determination unit 41 as position information to be added to the content. Further, the determination unit 42 determines, as the position information to be added to the content, the position candidate Cp that is not a plurality of geographical position candidates and is not an ambiguous word.

  When there is a first position candidate Cp1 that has not been narrowed down to one geographical position candidate by the determination unit 41, the determination unit 42 has another position candidate Cp3 (hereinafter referred to as a third position candidate Cp3). The candidates for the geographical position can be narrowed down from the combination of the candidate for the geographical position specified in (1) and the tag extracted by the position candidate extraction unit 32.

  Specifically, the determination unit 42 searches for a geographical location retrieved from a combination of each geographical location candidate of the first location candidate Cp1, the third location candidate Cp3, and the tag extracted by the location candidate extraction unit 32. A score is calculated based on the number of occurrences of position candidates. Then, the determination unit 42 ranks the geographical position candidates based on the calculated score.

  Here, it is assumed that the first position candidate Cp1 is “BBBB shop” and the third position candidate Cp3 is “Okinawa prefecture”, “Japanese food”, and “Spring cabbage”. In the location information table 27, the location information of “BBBB Yanaha store” includes “Naha City, Okinawa Prefecture” and “Japanese food”, and the location information of “BBBB yaroppongi store” includes “Tokyo “Roppongi, Minato-ku” and “Japanese food” are included.

  In this case, the position information retrieved from the position information table 27 as a candidate for the geographical position in the combination of “BBBB shop” and “Okinawa prefecture” is “BBBB Yanaha store”. In addition, the position information searched from the position information table 27 as a candidate for the geographical position by a combination of “BBBB shop” and “Japanese food” is “BBBB shop Roppongi store” and “BBBB shop Naha store”.

  The determination unit 42 sets the score to 2 points because “BBBB Yanaha store” appears twice. In addition, since the “BBBB shop Roppongi store” appears once, the determination unit 42 sets the score to 1 point. The determination unit 42 determines the position information of “BBBB Yanaha store”, which is the candidate of the geographical position with the highest score, as the position information to be added to the content. Note that the determination unit 42 can also determine one or more geographical position candidates whose score is equal to or greater than a predetermined value as position information to be added to the content.

  In addition, the adding unit 43 can determine position information candidates to be added to the content instead of determining the position information to be added to the content. Determination of position information candidates to be added to the content can be performed by the same processing as the determination of position information to be added to the content. Among the position information candidates determined by the determination unit 42, the position information candidates determined by the posting user UB are determined as position information to be added to the content.

  The adding unit 43 illustrated in FIG. 2 updates the content table 29 by adding the position information determined to be added to the content by the determining unit 42 to the content. For example, in the content table 29 shown in FIG. 5, “BBBB Yanaha store” and “Naha City, Okinawa Prefecture” are added to the content with the content ID “C100001” by the adding unit 43 as position information.

[2.2.3.5. Content providing unit 34]
When there is a content transmission request from the terminal device 2 of the browsing user UA, the content providing unit 34 selects the content specified by the content transmission request from among the content stored in the content storage unit 25, and the terminal device 2 of the browsing user UA. Send to.

  The content providing unit 34 generates content display screen information based on the content specified in the content transmission request (hereinafter sometimes referred to as “specified content”) and the position information added to the specified content. And the content provision part 34 can transmit the information of the produced | generated content browsing screen to the terminal device 2 of browsing user UA. The control unit 11 of the terminal device 2 displays the content browsing screen on the display unit 12 based on the information on the content browsing screen.

  FIG. 6 is a diagram illustrating an example of a content browsing screen according to the embodiment. A content display screen 60 shown in FIG. 6 is a blog article browsing screen. In the wording corresponding to the position information in the text display area 61 of the content display screen 60, a link 63 for accessing a homepage or the like of the spot specified by the position information is pasted. When the browsing user UA selects the link 63 by operating the operation unit 13, the control unit 11 accesses the access destination specified by the link 63, acquires the homepage of the spot specified by the position information, and displays the display unit 12. To display.

  Further, the text display area 61 is provided with a map display area 62 in which the position of the spot specified by the position information and the explanatory text of the spot are displayed on the map. Even when the map display area 62 is operated, it is possible to access the home page of the point specified by the position information, acquire the home page, and display it on the display unit 12.

  Thus, since the browsing user UA can browse the content display screen 60 including the designated content and the position information added to the designated content, the viewing information corresponding to the designated content can be easily grasped. .

  Further, as described above, the determination unit 42 can determine candidates for position information to be added to the content instead of determining the position information to be added to the content. In this case, the content providing unit 34 presents the position information candidates determined by the determining unit 42 to the posting user UB. The posting user UB selects one or more position information candidates from the position information candidates presented by the content providing unit 34 as position information to be added to the content. The adding unit 43 determines the position information selected by the posting user UB as position information to be added to the content. Hereinafter, a procedure for determining the position information to be added to the content from the position information candidates by the posting user UB will be specifically described.

  When there is a content posting screen request from the terminal device 2 of the posting user UB, the content providing unit 34 transmits information on the content posting screen to the terminal device 2 of the posting user UB. The control unit 11 of the terminal device 2 displays the content posting screen on the display unit 12 based on the information on the content posting screen. FIG. 7 is a diagram illustrating an example of a content posting screen according to the embodiment. A content posting screen 70 shown in FIG. 7 is a blog post posting screen.

  In the content posting screen 70, a title input area 71, a category selection field 72, a text input area 73, a confirmation button 74, and an enter button 75 are set. When information as shown in the figure is input in the text input area 73 and the confirmation button 74 is selected by operating the operation unit 13 of the terminal device 2, the control unit 11 displays the text input in the text input area 73 as information. Transmit to the processing device 1.

  The information processing apparatus 1 uses the above-described content reception unit 30, content acquisition unit 31, position candidate extraction unit 32, and position information determination unit 33 to candidate position information to be added to content including text input in the text input area 73. To decide. The content providing unit 34 generates information on a confirmation screen based on the determined position information candidate and transmits the information to the terminal device 2 of the posting user UB. The control unit 11 of the terminal device 2 displays a confirmation screen on the display unit 12 based on the information on the confirmation screen.

FIG. 8 is a diagram illustrating an example of a confirmation screen according to the embodiment. In the confirmation screen 80 shown in FIG. 8, a position display area 82 is provided in the article text display area 81. In the position display area 82, icons 83 ₁ and 83 ₂ (hereinafter may be collectively referred to as icons 83) are set at the positions of the points indicated by the position information candidates determined by the determination unit 42.

When the posting user UB operates the operation unit 13 to select _{one of} the icons 83 ₁ and 83 ₂ , the content providing unit 34 generates information on the position selection confirmation screen and transmits it to the terminal device 2 of the posting user UB. . The control unit 11 of the terminal device 2 displays the position selection confirmation screen on the display unit 12 based on the information on the position selection confirmation screen.

  FIG. 9 is a diagram illustrating an example of a position selection confirmation screen according to the embodiment. The position selection confirmation screen 90 is provided with a position information display area 91 that indicates position information corresponding to the icon 83 selected by the posting user UB in association with the position of the icon. A position selection confirmation button 92 is set on the position selection confirmation screen 90.

  When the position selection confirmation button 92 is operated by the posting user UB and then the determination button 75 is operated on the content posting screen 70, information indicating that the addition (embedding) of the position information corresponding to the selected icon 83 is agreed. Is transmitted to the information processing apparatus 1. As a result, the adding unit 43 of the information processing apparatus 1 can start distributing the content in which the position information is added to the content.

  The content described in FIGS. 6 to 9 is a blog, but the content may be a news or SNS message. Also in this case, the location indicated by the location information or the location indicated by the location information candidate can be displayed in the news or SNS message.

[3. Processing flow of information processing apparatus 1]
An example of an information processing procedure in the information processing apparatus 1 will be described with reference to FIG. FIG. 10 is a flowchart illustrating an example of a flow of information processing in the control unit 22 of the information processing apparatus 1.

  As illustrated in FIG. 10, the control unit 22 determines whether or not the content transmitted from the terminal device 2 to the information processing device 1 has been received (step S <b> 11). The content transmitted from the terminal device 2 to the information processing device 1 is, for example, content posted by the posting user UB, content being created by the posting user UB (for example, text input in the text input area 73 in FIG. 7). It is.

  When determining that the content has been received (step S11: Yes), the determination unit 41 of the control unit 22 performs position candidate determination processing (step S12). The position candidate determination process in step S12 is the process in steps S21 to S29 shown in FIG. 11, and will be described in detail later.

  Next, the determination unit 42 of the control unit 22 performs position information determination processing (step S13), and then the addition unit 43 of the control unit 22 performs position information addition processing (step S14). The determination unit 42 determines position information to be added to the content in the position information determination process in step S13. Further, in the position information addition processing in step S14, the position information determined to be added to the content by the determination unit 42 is added to the content.

  When the process of step S14 is completed or when it is determined that the content is not received (step S11: No), the control unit 22 determines whether or not a content transmission request is issued from the terminal device 2 (step S11). S15). When it is determined that there is a content transmission request (step S15: Yes), the control unit 22 reads the content specified by the transmission request from the storage unit 21, and transmits the read content to the terminal device 2 (step S16). .

  When it is determined that there is no content transmission request when step S16 ends (step S15: No), the control unit 22 ends the process illustrated in FIG. In addition, the control part 22 can perform the process of step S12-S14, and the process of step S16 in parallel.

  FIG. 11 is a diagram illustrating an example of the position candidate determination process in step S12 illustrated in FIG. As shown in FIG. 11, the determination unit 41 of the control unit 22 determines whether or not the first position candidate Cp1 is an ambiguous word (step S21). If the determination unit 41 determines that the first position candidate Cp1 is an ambiguous word (step S21: Yes), the determination unit 41 is specified by the geographical position specified by the first position candidate Cp1 and the second position candidate Cp2. The distance D to the geographical position is calculated (step S22). Then, the determination unit 41 determines whether or not the first position candidate Cp1 indicates a geographical position based on the distance D calculated in step S22 (step S23).

  When the process of step S23 ends or when it is determined that the first position candidate Cp1 is not an ambiguous word (step S21: No), the determination unit 41 determines the geographical location specified by the first position candidate Cp1. It is determined whether or not there are a plurality of position candidates (step S24). If the determination unit 41 determines that there are a plurality of geographical position candidates (step S24: Yes), the determination unit 41 specifies each geographical position candidate specified by the first position candidate Cp1 and the second position candidate Cp2. The distance D to the geographical position to be calculated is calculated (step S25). Then, the determination unit 41 narrows down the geographical position specified by the first position candidate Cp1 based on the distance D calculated in step S25 (step S26).

  When the process of step S26 is completed or when it is determined that there are not a plurality of candidates for the geographical position (step S24: No), the determination unit 41 determines the geographical position specified by the first position candidate Cp1. It is determined whether or not there are a plurality of candidates (step S27).

  If the determination unit 41 determines that there are a plurality of geographical position candidates (step S <b> 27: Yes), it corresponds to each geographical position candidate specified by the first position candidate Cp <b> 1 and attribute information of the viewing user UA. The distance DB between the geographical position corresponding to the attribute information of the posting user UB and the distance DA to the geographical position or the geographical position candidate specified by the first position candidate Cp1 is calculated (step S28). . Then, the determination unit 41 narrows down the geographical position specified by the first position candidate Cp1 based on the distance DA or DB calculated in step S28 (step S29).

  The determination unit 41 ends the process illustrated in FIG. 11 when the process of step S29 ends or when it is determined that there are not a plurality of candidates for the geographical position (step S27: No).

[4. program〕
Note that the information processing apparatus 1 in the above-described embodiment is realized by a computer 50 having a configuration as illustrated in FIG. FIG. 12 is a diagram illustrating an example of a hardware configuration of a computer that executes an information processing program. The computer 50 includes a CPU 51, a RAM 52, a ROM 53, an HDD 54, a communication interface (I / F) 55, an input / output interface (I / F) 56, and a media interface (I / F) 57.

  The CPU 51 operates based on an information processing program stored in the ROM 53 or the HDD 54 and controls each part. The ROM 53 stores a boot program executed by the CPU 51 when the computer 50 is started up, a program depending on the hardware of the computer 50, and the like.

  The HDD 54 stores data used by a program executed by the CPU 51. For example, the HDD 54 stores the same data as the position information table 27, the user information table 28, and the content table 29 described above. The communication interface 55 receives data from other devices via the network 3 and sends the data to the CPU 51, and transmits the data generated by the CPU 51 to other devices via the network 3.

  The CPU 51 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 56. The CPU 51 acquires data from the input device via the input / output interface 56. Further, the CPU 51 outputs the generated data to the output device via the input / output interface 56.

  The media interface 57 reads a program or data stored in the recording medium 58 and provides it to the CPU 51 via the RAM 52. The CPU 51 loads the program from the recording medium 58 onto the RAM 52 via the media interface 57 and executes the loaded program. The recording medium 58 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.

  The CPU 51 of the computer 50 executes the program loaded on the RAM 52, thereby allowing the content reception unit 30, the content acquisition unit 31, the position candidate extraction unit 32, the position information determination unit 33, and the content provision unit 34 shown in FIG. Implement each function. The CPU 51 of the computer 50 reads the information processing program from the recording medium 58 and executes the information processing program. However, as another example, the program may be acquired from another device via the network 3.

[5. effect〕
The information processing apparatus 1 according to the embodiment includes a content acquisition unit 31, a position candidate extraction unit 32, and a position information determination unit 33. The content acquisition unit 31 acquires content that is a target to which position information that is geographical position information is added. The position candidate extraction unit 32 extracts a plurality of position candidates Cp including the first position candidate Cp1 and the second position candidate Cp2 from the content acquired by the content acquisition unit 31. The position information determination unit 33 is based on the distance D between the geographical position specified by the first position candidate Cp1 extracted by the position candidate extraction unit 32 and the geographical position specified by the second position candidate Cp2. Then, position information to be added to the content or a candidate for position information is determined. Thereby, the convenience at the time of producing the content which added the positional information can be improved.

  Further, the position information determination unit 33 includes a determination unit 41 and a determination unit 42. Based on the distance D, the determination unit 41 determines whether or not the first position candidate Cp1 indicates a geographical position. The determination unit 42 determines the information of the first position candidate Cp1 determined to indicate the geographical position by the determination unit 41 as the position information to be added to the content or the position information candidate. Thereby, it can be accurately determined whether or not the first position candidate Cp1 indicates a geographical position.

  In addition, the determination unit 41 determines, based on the distance D, whether the first position candidate Cp1 indicates a geographical position or a person name. The determination unit 42 does not determine the information of the first position candidate Cp1 that is determined to be a person name by the determination unit 41 as the position information to be added to the content or the position information candidate. Thereby, it can be accurately determined whether or not the first position candidate Cp1 indicates a geographical position.

  In addition, when there are a plurality of geographical positions specified by the first position candidate Cp1, the position information determination unit 33 specifies each geographical position specified by the first position candidate Cp1 and the second position candidate Cp2. The geographical position of the first position candidate Cp1 is narrowed down based on the distance to the geographical position to be set. Thereby, even if there are a plurality of geographical positions specified by the first position candidate Cp1, the geographical positions can be narrowed down with high accuracy.

  In addition, when there are a plurality of geographical positions specified by the first position candidate Cp1, the position information determination unit 33 is a distance from the geographical position specified by the second position candidate Cp2 among the plurality of geographical positions. Is determined as the geographical position of the first candidate position Cp1. Thereby, even if there are a plurality of geographical positions specified by the first position candidate Cp1, the geographical position of the first position candidate Cp1 can be accurately determined.

  Further, the position information determination unit 33 narrows down the geographical position of the first position candidate Cp1 based on the attribute information of the browsing user UA that is the user U who has browsed the content. Thereby, even if there are a plurality of geographical positions specified by the first position candidate Cp1, the geographical position of the first position candidate Cp1 can be accurately determined. For example, the browsing user UA is often interested in a specific area. In such a case, the browsing history of the content is used as the attribute information of the browsing user UA, so that the geographical location of the first position candidate Cp1 is obtained. The position can be determined with high accuracy. In addition, for example, the browsing user UA often has an interest in a frequently visited place. In such a case, the first location candidate Cp1 is obtained by using the movement history of the browsing user UA as the attribute information of the browsing user UA. Can be determined with high accuracy.

  Further, the position information determination unit 33 narrows down the geographical position of the first position candidate Cp1 based on the attribute information of the posting user UB that is the user U who created the content. Thereby, even if there are a plurality of geographical positions specified by the first position candidate Cp1, the geographical position of the first position candidate Cp1 can be accurately determined. For example, the posting user UB often posts articles of places where he / she frequently visits. In such a case, by using the movement history of the posting user UB as attribute information of the posting user UB, the posting of the first position candidate Cp1 The geographical position can be determined with high accuracy. Also, for example, the posting user UB often browses articles in a region related to the article in order to create an article. In such a case, the browsing history of the content is used as attribute information of the posting user UB. Thus, the geographical position of the first position candidate Cp1 can be determined with high accuracy.

  The content is an article. Thereby, position information can be added to the article.

  The information processing apparatus 1 described above may be realized by a plurality of server computers, and depending on the function, the configuration can be flexibly changed, for example, by calling an external platform or the like with an API or network computing.

  Moreover, the above-mentioned “section (module, unit)” can be read as “means”, “circuit”, and the like. For example, the position information determination unit can be read as position information determination means or a position information determination circuit.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be made to the above-described embodiment. In addition, it is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

1 the information processing apparatus 2, 2 ₁ to 2 _n terminal device 3 the network 20 communication unit 21 storage unit 22 the control unit 23 the position information storage unit 24 the user information storage unit 25 content storage unit 26 ambiguous word storage unit 27 position information table 28 the user information Table 29 Content table 30 Content reception unit 31 Content acquisition unit 32 Position candidate extraction unit 33 Location information determination unit 34 Content provision unit 41 Determination unit 42 Determination unit 43 Addition unit 100 Information processing system

Claims (11)

A content acquisition unit that acquires content that is a target to which position information that is geographical position information is added;
A position candidate extraction unit that extracts a plurality of position candidates including a first position candidate and a second position candidate from the content acquired by the content acquisition unit;
The position to be added to the content based on the distance between the geographical position specified by the first position candidate extracted by the position candidate extraction unit and the geographical position specified by the second position candidate A position information determination unit that determines information or a candidate for the position information,
The position information determination unit
When there are a plurality of geographical positions specified by the first position candidates, based on the distance between the geographical position specified by the first position candidates and the geographical position specified by the second position candidates Based on the attribute information of the user who viewed the content or the attribute information of the user who created the content before or after narrowing down the geographical position of the first position candidate, the geography of the first position candidate An information processing device characterized by narrowing down the target position. The position information determination unit
A determination unit configured to determine whether the first position candidate indicates a geographical position based on the distance;
The determination unit that determines information on the first position candidate determined to indicate a geographical position by the determination unit as the position information or the position information candidate. Information processing device. The determination unit
Based on the distance, determine whether the first location candidate indicates a geographical location or a person's name;
The determination unit
The information processing apparatus according to claim 2, wherein the information on the first position candidate determined to be a personal name by the determination unit is not determined as the position information or the position information candidate. The position information determination unit
An adding unit that adds the position information candidate selected by the user among the position information candidates determined by the determining unit to the content as the position information;
The information processing apparatus according to claim 2, wherein the content acquired by the content acquisition unit is content before posting by the user. The position information determination unit
When there are a plurality of geographical positions specified by the first position candidates, the distance between each geographical position specified by the first position candidates and the geographical position specified by the second position candidates The information processing apparatus according to claim 1, wherein the geographical position of the first position candidates is narrowed down based on the information processing apparatus. The position information determination unit
When there are a plurality of geographical positions specified by the first position candidates, a geographical position closest to the geographical position specified by the second position candidates among the plurality of geographical positions is The information processing apparatus according to claim 5, wherein the information processing apparatus determines the geographical position of the first position candidate. The information processing apparatus according to claim 1, wherein the content is an article. 8. The geographical position of the first position candidate is narrowed down based on a distance from a geographical position obtained from other content browsed by the user who browsed the content. 8. The information processing apparatus according to one. The position information determination unit
When the distance from the geographical position specified by the second position candidate located within a predetermined range from the position of the first position candidate in the content is less than a threshold value, the first position candidate is The information processing apparatus according to claim 1, wherein the information processing apparatus is determined to indicate a geographical position. An information processing method executed by a computer,
A content acquisition step of acquiring content that is a target to which location information that is geographical location information is added;
A position candidate extraction step of extracting a plurality of position candidates including a first position candidate and a second position candidate from the content acquired by the content acquisition step;
The position to be added to the content based on the distance between the geographical position specified by the first position candidate extracted by the position candidate extraction step and the geographical position specified by the second position candidate A position information determination step for determining information or a candidate for the position information,
The position information determination step includes
When there are a plurality of geographical positions specified by the first position candidates, based on the distance between the geographical position specified by the first position candidates and the geographical position specified by the second position candidates Based on the attribute information of the user who viewed the content or the attribute information of the user who created the content before or after narrowing down the geographical position of the first position candidate, the geography of the first position candidate An information processing method characterized by narrowing down the target position. A content acquisition procedure for acquiring content to which position information that is geographical position information is added;
A position candidate extraction procedure for extracting a plurality of position candidates including a first position candidate and a second position candidate from the content acquired by the content acquisition procedure;
The position to be added to the content based on the distance between the geographical position specified by the first position candidate extracted by the position candidate extraction procedure and the geographical position specified by the second position candidate A position information determination procedure for determining information or a candidate for the position information;
To the computer,
The location information determination procedure includes:
When there are a plurality of geographical positions specified by the first position candidates, based on the distance between the geographical position specified by the first position candidates and the geographical position specified by the second position candidates Based on the attribute information of the user who viewed the content or the attribute information of the user who created the content before or after narrowing down the geographical position of the first position candidate, the geography of the first position candidate An information processing program characterized by narrowing down the target position.

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