JP2019079148A - Information processing device, information processing method and information processing program - Google Patents

Abstract

To provide an information processing device, an information processing method and an information processing program that can propose a content, related to a content that a user is browsing, to the user.SOLUTION: In an information processing system 100, an information processing device 1 comprises an acquisition part 43 and a decision part 44. The acquisition part 43 acquires position information added to a first content on the basis of an analysis result of the first content. The decision part 44 decides, as second contents that a user during browse of the first content is proposed to view, one or more contents to which position information equivalent or related to the position information added to the first content and acquired by the acquisition part among a plurality of contents is added.SELECTED DRAWING: Figure 2

Description

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

  In recent years, along with the rapid spread of the Internet, the distribution of content including articles such as news and blogs via the Internet has been actively performed. For example, in Patent Document 1, related content is acquired to a user who browsed the browsed content by acquiring related content related to the browsed content based on the history importance of the browsed content calculated from browsing history information of a plurality of users An information delivery server has been proposed for delivering.

JP, 2013-140479, A

  However, the information distribution server described in Patent Document 1 distributes content that reflects the preference of the user based on the degree of popularity and the number of browsing times of the browsed content, and the content related to the content being browsed by the user is It is not something to deliver.

  The present application has been made in view of the above, and it is an object of the present invention to provide an information processing apparatus, an information processing method, and an information processing program capable of proposing to a user content related to content being browsed by the user. Do.

  An information processing apparatus according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires the position information added to the first content based on an analysis result of the first content. The determining unit is configured to, of the plurality of pieces of content, one or more pieces of content to which position information that is the same as or related to the position information added to the first content acquired by the acquiring unit is added. The content is determined as the second content to be suggested to the user who is browsing the content.

  According to one aspect of the embodiment, it is possible to provide an information processing apparatus, an information processing method, and an information processing program capable of proposing to the user content related to content being browsed by the user.

FIG. 1 is an explanatory diagram of information processing according to the embodiment. FIG. 2 is a diagram illustrating an exemplary configuration of an information processing system according to the embodiment. FIG. 3 is a diagram showing an example of the position information table stored in the position information storage unit of the information processing apparatus according to the embodiment. FIG. 4 is a diagram showing an example of the content table stored in the content storage unit of the information processing apparatus according to the embodiment. FIG. 5 is a diagram showing an example of a content list screen according to the embodiment. FIG. 6 is a diagram showing an example of the content display screen according to the embodiment. FIG. 7 is a diagram showing another example of the content display screen according to the embodiment. FIG. 8 is an enlarged view of the map area shown in FIG. FIG. 9 is a flowchart showing the flow of information processing performed by the control unit of the information processing apparatus according to the embodiment. FIG. 10 is a flowchart showing an example of the position information addition process shown in FIG. FIG. 11 is a flowchart showing an example of the content proposal process shown in FIG. FIG. 12 is a diagram illustrating an example of a hardware configuration of a computer that executes an information processing program according to the embodiment.

  Hereinafter, an information processing apparatus, an information processing method, and a mode for implementing 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 the 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 information processing apparatus illustrated in FIG. 1 acquires a plurality of contents posted from users U ₁ and U ₂ who are contributors from the terminal devices of the users U ₁ and U ₂ , and acquires the plurality of acquired contents in the content storage unit. Remember. In the example shown in FIG. 1, the user _{U 1} is post content C11, C12 (step S1), the user _{U 2} to post content C21～C25 (step S2).

The information processing apparatus receives the contents C11, C12, C21 to C25 (hereinafter collectively referred to as the contents C) transmitted from the terminal devices of the users U ₁ and U ₂ and makes a plurality of contents C received. It stores in the storage unit (step S3). The content C is, for example, content posted in news, blogs (including mini-blogs), SNS (Social Networking Service), and the like. The content includes, for example, text, an image, a moving image and the like.

  Next, the information processing apparatus executes position information selection processing (step S4). In the position information selection process, the information processing apparatus acquires each content C stored in the content storage unit in step S3, and analyzes the content of each acquired content C. The information processing apparatus selects one or more pieces of position information to be added to each content C based on the analysis result of each content C.

  The position information added to the content C is, for example, information on a point appearing in the content C, information on a region appearing in the content C, and the like. Point information is information on a specific point on a map, and may be referred to as a POI (Point Of Interest). The information on the point is, for example, a store or a facility. Further, the information on the area is information on a specific area on the map, for example, information indicating an area such as Roppongi, Minato-ku, Tokyo, Yokohama City, Kanagawa Prefecture, and the like.

  The information processing apparatus executes position information addition processing (step S5). In the position information adding process, the information processing apparatus adds the one or more pieces of position information selected in step S4 to the content C, and stores the content C in the content storage unit. The information processing apparatus selects one or more pieces of position information to be added to the content C every time the content C is obtained from the terminal device, adds the selected one or more pieces of position information to the content C, and Can also be stored.

After one or more pieces of position information are added to each content C, when the user U ₁₀ who is a viewer of the content C operates the terminal device and selects the content C 11 from the content list screen or the like, the terminal C transmits the content C 11 Is sent to the information processing apparatus (step S6).

  When the information processing apparatus receives the transmission request for the content C11 from the terminal device, the information processing apparatus provides the content C11 as the first content CA (step S7). In step S7, the information processing apparatus acquires the content C11 specified by the transmission request from the content storage unit, and transmits the acquired content C11 as a first content CA to the terminal apparatus of the transmission request source.

Also, the information processing apparatus executes content proposal processing (step S8). In the content proposal processing, the information processing apparatus acquires, from the content storage unit, the position information added to the first content CA. Then, the information processing apparatus determines, based on the acquired position information, the second content CB which is the content for which the user U ₁₀ proposes browsing.

  In step S8, the information processing apparatus determines, as the second content CB, the content C to which is added the position information that matches or is related to the position information added to the first content CA. Hereinafter, position information that matches the position information added to the first content CA will be described as matched position information, and position information associated with the position information added to the first content CA will be described as associated position information.

  If the point indicated by the position information added to the first content CA is the landmark A, the information processing apparatus causes the content C having the matching position information, which is the position information indicating the landmark A, to be the second content CB Decide as. In addition, the information processing apparatus determines, as the second content CB, the content C having associated position information which is position information indicating an area within a predetermined distance centered on the landmark A or an area to which the landmark A belongs. Can.

  In addition, if the information processing apparatus indicates that the area indicated by the position information added to the first content CA is area B (for example, Roppongi, Minato-ku, Tokyo), for example, a matching position that is position information indicating area B Content C having information is determined as a second content CB. Further, the information processing apparatus can determine the content C having the related position information, which is the position information indicating the area including the area B and the area other than the area B, as the second content CB. The information processing apparatus can also determine, as the second content CB, the content C having associated position information that is position information indicating an area adjacent to the area B.

The information processing apparatus transmits proposal information proposing browsing of the determined second content CB to the terminal device of the user U ₁₀ (step S9). The proposal information is, for example, information for selecting the second content CB (for example, a list of headings of the second content CB). In the example shown in FIG. 1, it is shown that the content C21, C25 is determined as the second content CB, and the terminal device of the user U ₁₀ displays the headings of the content C21, C25. When the user U ₁₀ operates the terminal device to select the content C21, the content C21 is displayed on the terminal device.

As described above, the information processing apparatus determines the second content CB to be suggested to the user U ₁₀ for browsing based on the position information added to the first content CA based on the analysis result of the first content CA. Do. Thus, since it is possible to propose a second content CB by the user U ₁₀ associated with the content of the first content CA of browsing the user U _10, improve user convenience U ₁₀ to view the content C It can be done.

Also, position information is added to the content C based on the analysis result of the content C. Therefore, using the content C provided by the users U ₁ and U ₂ without adding the position information, the user U ₁₀ is proposed the content C geographically related to the content C being browsed to the user U ₁₀ can do.

[2. Configuration of information processing system]
FIG. 2 is a diagram illustrating an exemplary configuration of an information processing system according to the embodiment. As shown in FIG. 2, the information processing system 100 according to the embodiment includes the 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 the plurality of terminal devices 2 ₁ to 2 _n (hereinafter, may be referred to as a terminal device 2) are communicably connected to each other by wire or wireless via the network 3. The network 3 is, for example, a Local Area Network (LAN) or a Wide Area Network (WAN) such as the Internet. The terminal devices 2 _{1 to} 2 _n are operated by users U _{1 to} U _n (hereinafter sometimes collectively referred to as user U).

  Each user U is a poster providing content or a viewer viewing content. The content may be reproduced by the 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 terminal, a PDA (Personal Digital Assistant), a personal computer, etc., and the communication unit 10, the control unit 11 (controller), the display unit 12, the operation unit 13, and storage And a unit 14.

  The control unit 11 includes a microcomputer including 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, by the CPU reading out and executing a program of an application stored in the ROM.

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

  Further, the control unit 11 can transmit, to the information processing apparatus 1, articles such as news and blogs created in response to an operation on the operation unit 13 of the user U. Although the content to be posted to the information processing apparatus 1 is described as an article in the following, the content to be posted to the information processing apparatus 1 is a content other than an article (for example, audio content, music content, moving image 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 content service. The 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 performs wired or wireless connection to the network 3. 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 and a content storage unit 24. The position information storage unit 23 and the content storage unit 24 are, for example, a storage device such as a RAM, a semiconductor memory device such as a flash memory, or a hard disk drive (HDD) or an optical disk.

  The position information storage unit 23 stores a position information table including information on each position. FIG. 3 is a diagram showing an example of the position information table stored in the position information storage unit 23. As shown in FIG. The position information table 25 shown in FIG. 3 includes, for each “position ID”, “position name”, “latitude / longitude”, “category”, “reading”, “address”, “different notation”, “area code” and “area code” The telephone number is information associated with it.

  “Position ID” is identification information of a position (for example, a point, a region, etc.). The “position name” is the name of the position specified by the position ID, and includes, for example, the restaurant name, the accommodation facility name, the landmark name, the railway route name, the historical place landmark name, the area name and the like. “Latitude and longitude” is information indicating the latitude and longitude of the position identified by the position ID. The “category” is a type of position associated with the position ID, and for example, is a type of store of the position identified by the position ID. "Yomu" is a phonetic alphabet of the name set in "position name".

  "Address" is an address of the position specified by the position ID. Such an address is identified by a prefecture name, a municipality name (or ward), a letter and a street address, but if the location identified by the location ID indicates an area (for example, a city or prefecture), the area An address to be specified is set in the “address” of the position information table 25. For example, when the position specified by the position ID is a municipality (or district), the address of the position specified by the position ID does not include characters and a street address.

  "Another notation" is the name of the position specified by the position ID, and is a name called other than the "position name". For example, the additional notation includes abbreviations and common names. The "area code" is a code that gradually indicates the area to which the address belongs. The “telephone number” is a telephone number of the position specified by the position ID. For example, when the position name is a restaurant name or an accommodation facility name, it is a telephone number of the restaurant or the accommodation facility.

  The content storage unit 24 stores a content table including information on the content C. FIG. 4 is a diagram showing an example of the content table 26 stored in the content storage unit 24. As shown in FIG. The content table 26 illustrated in FIG. 4 is information in which “data”, “position information”, “overall browsing ratio”, “local browsing ratio”, and the like are associated with each “content ID”.

  The “content ID” is identification information of the content C. “Data” is data of content C. The “data” may not be the data of the content C itself, and may be, for example, data indicating the storage position of the content C in the content storage unit 24. “Position information” is position information associated with the content C. Although the position information shown in FIG. 4 is a position name, the “position information” in the content table 26 may be any information for specifying the position, and may be, for example, a position ID, other than the position name. It may be information (for example, latitude and longitude or area code).

  The “total browsing rate” is the CTR (Click Through Rate) of the content C, which is the ratio of the number of browsing times of the content C to the number of times of proposal of the content C. The number of proposals is, for example, the total number of times the heading of content C is displayed on the terminal device 2. Further, the number of browsing times is the total number of times the content C has been browsed by the user U of the terminal device 2. For example, the number of browsing times is the total number of times that the heading of the content C to which the link of the content C is attached is selected (clicked) by the operation of the user U of the terminal device 2 and the content C is displayed on the terminal device 2. Hereinafter, the whole browsing rate may be described as the whole browsing rate.

  "Regional browsing rate" is the CTR of the content C at the point or area determined by the position information, and at the point or area determined by the position information with respect to the number of proposals in the point or area determined by the position information Is the ratio of the number of browsing times. For example, when the area determined by the position information added to the content C is Shibuya-ku, Tokyo, the “browse ratio of area” is the heading of the content C displayed on the terminal device 2 present in the Shibuya-ku, Tokyo It is a ratio of the number of clicks (the number of browsing times) to the number of times of display (the number of proposals). Hereinafter, the browsing rate of the area may be described as the area browsing rate.

  The point determined by the position information is a point specified by the position information, and is a AAAAAA Roppongi store when the position information indicates the AAAAAA Roppongi store (see FIG. 3). Further, the area determined by the position information is, for example, an area having a predetermined distance from Roppongi in Minato-ku, Tokyo or AAAAA Roppongi store, when the position information indicates AAAAA Roppongi store.

  Also, the “area browsing ratio” may be the CTR of the content C in the vicinity of the point or area specified by the position information. For example, if the position specified by the position information is AAAAA Roppongi store (see FIG. 3) or “Roppongi, Minato-ku, Tokyo”, “Regional reading ratio” is proposed to the terminal device 2 present in Roppongi, Minato-ku, Tokyo It is a click rate of the content C in which the information was displayed.

  Also, the "area browsing ratio" may be the CTR of the content C in the area including the point or area specified by the position information. For example, when the position specified by the position information is "Roppongi, Minato-ku, Tokyo", the "area browsing ratio" is the click rate of the content C for which the proposal information is displayed on the terminal device 2 present in Minato, Tokyo. It is. Note that the “area browsing ratio” may be a CTR in an area specified based on the latitude and longitude, not on a point or area.

[2.2.3. Control unit 22]
The control unit 22 includes, for example, a microcomputer including 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 receiving unit 30, a position information adding unit 31, an information providing unit 32, and a proposal content providing unit 33. The functions of the content receiving unit 30, the position information adding unit 31, the information providing unit 32, and the proposed content providing unit 33 are, for example, that the CPU of the control unit 22 reads and executes the program stored in the ROM of the control unit 22. Is realized by

  Each of the content receiving unit 30, the position information adding unit 31, the information providing unit 32, and the proposed content providing unit 33 may be hardware such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA). May be composed of

[2.2.3.1. Content reception unit 30]
The content accepting unit 30 accepts posting of the content C from the terminal device 2 via the network 3 and the communication unit 20. The content receiving unit 30 sets the content C received from the terminal device 2 in the content table 26.

[2.2.3.2. Position information adding unit 31]
The position information adding unit 31 reads out the content C stored in the content storage unit 24, and analyzes information on the position indicated by the read content C. The position information adding unit 31 adds position information to the content C based on the analysis result of the content C, and sets the content C to which the position information is added in the content table 26.

  The position information adding unit 31 includes an extracting unit 41 and a selecting unit 42. The extraction unit 41 can extract a plurality of types of position determination elements from the text of an article that is the content C (hereinafter referred to as target text).

  The extraction unit 41 extracts a “tag”, which is one of position determination elements, from the target text by performing text analysis on the target text. A "tag" is a word that is considered to be a collection of semantic information. For example, the restaurant name, the accommodation facility name, the landmark name, the railway route name, the historical place landmark name, etc. correspond to the tag.

  The extraction unit 41 assigns a high score to a word having a specific meaning for each of the words (words) obtained as a result of morphological analysis of the target text, ranks them, and narrows down to a high rank. Tags can be extracted. The score given to the word when extracting the tag is calculated based on tf-idf and the like in the corpus. Such a score may also be used as a score for the extracted tag.

  Further, when the target text includes a telephone number, the extraction unit 41 can extract “telephone number” which is one of the position determination elements from the target text. The extraction unit 41 can extract a telephone number from the target text by extracting a digit string having a predetermined number of digits.

  Further, when the target text includes information indicating an address, the extraction unit 41 can extract an “address” which is one of the position determination elements from the target text. The extraction unit 41 extracts an address from the target text by, for example, performing text analysis on the target text. More specifically, the extraction unit 41 extracts an address from the target text by excluding words other than the word considered as an address from each of the words obtained as a result of morphological analysis of the target text.

  When the target text includes a character string indicating a region, the extraction unit 41 can extract a character string indicating a region from the target text. In addition, when the target text includes landmark information and the like, the extraction unit 41 extracts the landmark information from the target text, and uses GIS (Geographic Information System) information and the like to indicate the area indicated by the target text. Estimate

  The extracting unit 41 can extract at least a part of the “address”, which is one of the position determination elements, from the target text by converting the tag such as the landmark information into the address. For example, the extraction unit 41 estimates “Oshiage, Sumida-ku, Tokyo”, which is the location of Tokyo Skytree, from the target text “Go to Skytree.” Including landmark information, and “Oshiage, Sumida-ku, Tokyo” Extract as part of the address.

  The selection unit 42 searches the position information table 25 using the one or more position determination elements extracted by the extraction unit 41, and among the plurality of pieces of position information included in the position information table 25, one or more indicated by the target text. The position information is selected as one or more pieces of position information to be added to the content C. For example, the selection unit 42 selects a predetermined number N1 of position information, and adds the selected position information to the content C. The predetermined number N1 may be one or two or more. The position information selected by the selection unit 42 and added to the content C is information corresponding to one position ID of the position information table 25 described above, and, for example, one of position ID, address, latitude and longitude, and area code It is the above information.

  First, selection processing of position information indicating a point will be described. For example, when the extraction unit 41 extracts a telephone number as a position determination element, the selection unit 42 extracts position information that completely or partially matches the extracted telephone number as a position information candidate of a point from the position information table 25 Do. The partial match means, for example, that the area code is not included in the telephone number extracted by the extraction unit 41, and parts other than the area code completely match.

  Also. When an address is extracted as a position determination element by the extraction unit 41, the selection unit 42 derives recognizable latitude and longitude from the extracted address, and locates position information within a predetermined distance centering on the derived latitude and longitude It extracts from the information table 25 and extracts a predetermined number N2 (≧ N1) of position information in order of close distance as a position information candidate of a point. For example, the selection unit 42 derives latitude and longitude using an API (Application Programming Interface) that outputs latitude and longitude when an address is input. This API may be one function of the selection unit 42 or may be a function provided by another device.

  If the selecting unit 42 can not derive the latitude and longitude of the address extracted by the extracting unit 41, the selecting unit 42 derives an area code from the extracted address, and positional information having an area code that matches the derived area code is position information. It extracts from the table 25 as a position information candidate of a point. For example, when an address is input, the selection unit 42 derives an area code using an API that outputs the area code.

  The selecting unit 42 can derive an area code from the extracted address even if the latitude and longitude can be derived from the address extracted by the extracting unit 41. The selection unit 42 can also extract position information having an area code that matches the derived area code from the position information table 25 as a position information candidate of a point.

  The selection unit 42 selects, for example, position information candidates for points less than or equal to a predetermined number N3 (≧ N2). The selection unit 42, for example, (1) location information candidate of a location extracted by a telephone number, (2) location information candidate of a location extracted by a latitude and longitude, (3) location information of a location extracted by an area code The candidate and (4) location information candidate of the point extracted only by the tag are selected in order. For example, when N3 = 5, the selection unit 42 extracts one position information candidate of (1), two position information candidates of (2), and two position information candidates of (3), The position information candidate of (4) is not selected. In addition, the selection unit 42 does not select the position information candidate of the overlapping point.

  The selection unit 42 may narrow down to position information candidates matching the tag, when the position information candidates of points exceeding a predetermined number N1 are extracted. To match the tag means, for example, that a point name, a reading, another notation, etc., which can be regarded as the name of the point or the name, and the wording of the tag match a predetermined number of characters or more. To match the tag means that one item of the category includes all of the tag. When the address is a station, there may be many stores in the station. In such a case as well, by narrowing down using a tag, highly accurate position information can be provided.

  For example, the selection unit 42 calculates a score based on the number of appearances of the point position information candidate searched from the combination of the position determination element of the point and each tag and the matching degree, and the position information candidate of the point Can be ranked. For example, the selection unit 42 calculates (A) a point PA based on the number of occurrences, and (B) a point PB based on the degree of word coincidence for each position determination element retrieved from the combination of the position determination element and each tag. Then, the points PA and PB are added (or multiplication, weighted addition, and other operations are performed) to calculate the score of the position information candidate of the point.

  Here, it is assumed that the position determination element of the point is “Roppongi, Minato-ku, Tokyo”, and has three tags “AAAAAA”, “Japanese food”, and “spring cabbage”. Then, it is assumed that the position information searched from the position information table 25 as a position information candidate of a point by a combination of “Tokyo Minato-ku Roppongi” and “AAAAAA” is “AAAAAA Roppongi store”. In addition, the location information of the location searched from the location information table 25 as a location information candidate of the location by combining “Tokyo Minato-ku Roppongi” and “Japanese food” is “AAAAAA Roppongi store”, “BBB Roppongi center store” and It is assumed that it is "CCCCC Roppongi store". Further, it is assumed that there is no position information to be searched from the position information table 25 as a position information candidate of a point by a combination of “Roppongi, Minato-ku, Tokyo” and “spring cabbage”.

  In this case, the location information candidate "AAAAAA Roppongi store" of the spot appears twice, and the position information candidate "BBB Roppongi store" and "CCCCC Roppongi store" of the spot appear once each. Therefore, two points PA are given to the position information candidate "AAAAAA Roppongi store", and one point PA is given to the position information candidates "BBB Roppongi store" and "CCCCC Roppongi shop" of the position.

  Further, the point PB based on the degree of word match is calculated based on how much the word and the point name of the position information candidate of the point (a reading or another notation may be used) are literally matched. For example, point PB based on the degree of word coincidence is 5 points when the degree of word coincidence is 10%, and 4 points when the degree of word coincidence is 70% or more and less than 100%. Further, when the degree of coincidence of the wording is 50% or more and less than 70%, the point PB is 2 points, and when the degree of coincidence of the wording is less than 50%, the point PB is 1 point.

The location name candidate “AAAAAA Roppongi store” of the location has a location name 60% coincident with the tag “AAAAAA”. Therefore, two points PB are assigned, and the point location information candidate "BBB Roppongi store" and "CCCCC Roppongi store" do not have points PB because they do not partially coincide with any tag. Therefore, the score of each position information candidate is as follows.
・ "AAAAAA Roppongi store": PA + PB = 2 + 2 = 4
・ "BBB Roppongi store": PA + PB = 1 + 0 = 1
・ "CCCCC Roppongi store": PA + PB = 1 + 0 = 1

  The selection unit 42 selects position information candidates of a predetermined number N3 (≦ N1) of points from position information candidates having a high score as position information to be added to the content C. If the position information candidate for the point is less than or equal to the predetermined number N3, the selection unit 42 selects the position information candidate for the point less than or equal to the predetermined number N3 as position information to be added to the content C without calculating the score. .

  In the example described above, the score when the address is the position determination element is calculated, but the selection unit 42 similarly, even when the area code is the position determination element, includes the area code that is the position determination element and each tag. The score can be calculated based on the number of appearances of the position information candidate retrieved from the combination of and the degree of match.

  Next, a process of selecting position information indicating an area (for example, a prefecture, a municipality, or a ward) will be described. When the extraction unit 41 extracts a position determination element indicating an area (for example, a prefecture, a municipality, or a ward) as the position determination element, the selection unit 42 selects a position determination element indicating the area as a position information candidate. Can. In addition, the selection unit 42 can select an area including a point that is a predetermined number N3 of position information candidates as a position information candidate.

  The selecting unit 42 can select, for example, position information candidates of a predetermined number N4 (≦ N1) of areas from the position information candidates selected as position information candidates a large number of times as position information to be added to the content C.

  The selection unit 42 adds position information candidates equal to or less than the selected predetermined number N1 (≦ N3 + N4) as the position information to the content C, and sets the content C to which the position information is added in the content table 26. Each piece of position information added to the content C is, for example, one or more pieces of information among the position ID, the address, the latitude and longitude, and the area code included in the position information table 25.

  In addition, the selection unit 42 only needs to be able to select one or more pieces of position information indicating a spot or a region based on the one or more position determination elements extracted by the extraction unit 41. The selection process is not limited to the selection process described above. For example, the selection unit 42 can also select position information to be added to the content C, using a learning model for each position having a position determination element as a feature.

  In the above description, the content C is described as an article, but when the content C is a moving image, the extracting unit 41 converts audio contained in the moving image into text, and converts the converted text into plural types of position information Candidates can be extracted. The extraction unit 41 can also extract an image included in the content C and derive an area code from the extracted image using an API that outputs an area code from the image.

[2.2.3.3. Information provider 32]
The information providing unit 32 transmits information corresponding to the request from the terminal device 2 to the terminal device 2 via the communication unit 20 and the network 3. The request from the terminal device 2 includes current location information of the terminal device 2. The current location information is information indicating the current position of the terminal device 2.

  For example, when there is a request for transmission of a content list from the terminal device 2, the information providing unit 32 transmits information of the content list to the terminal device 2. The information providing unit 32 reads the entire content C of the content table 26 transmitted to the terminal device 2 in the content table 26 based on the current location information transmitted from the terminal device 2 and the position information of each content C included in the content list. And update the area browsing rate.

  The information providing unit 32 describes the point or area indicated by the current position information as the point or area including the same or a neighborhood as the point or area indicated by the position information of the content C included in the content list (hereinafter referred to as content related position It is determined whether or not The information providing unit 32 updates the area browsing rate and the entire browsing rate of the content C, which is the content related position, in the content table 26. For example, in the case where the area browsing ratio = 3/20 and the whole browsing ratio = 38/2978, the information providing unit 32 performs updating so that the area browsing ratio = 3/21 and the whole browsing ratio = 38/2979.

  Further, the information providing unit 32 updates the entire browsing rate of the content C that is not the content related position in the content table 26, but does not update the area browsing rate. For example, in the case where the area browsing ratio = 3/20 and the whole browsing ratio = 38/2978, the information providing unit 32 updates the whole browsing ratio = 38/2979, and the area browsing ratio = 3/20 is updated. do not do.

  The control unit 11 of the terminal device 2 displays a content list screen on the display unit 12 based on the information of the content list acquired from the information providing unit 32 via the communication unit 10. FIG. 5 is a diagram showing an example of the content list screen.

  Headings of the contents C11 to C16 are displayed on the content list screen 61 shown in FIG. 5, and links of the contents C11 to C16 are pasted on the heads of the contents C11 to C16. The user U of the terminal device 2 can click any one of the headings of the contents C11 to C16 by operating the operation unit 13. Thereby, any one of the contents C11 to C16 is designated as a browsing target.

  The control unit 11 of the terminal device 2 sends a transmission request for requesting the information providing unit 32 to transmit the content C of the clicked header based on the link attached to the clicked header via the communication unit 10 and the network 3 Transmit to the information provider 32.

  The information providing unit 32 extracts the content C designated by the transmission request from the content storage unit 24, and transmits the extracted content C to the terminal device 2 via the communication unit 20 and the network 3. The control unit 11 of the terminal device 2 displays the content C on the display unit 12 based on the content C acquired from the information providing unit 32 via the communication unit 10.

  Further, the information providing unit 32 is configured to transmit the content C of the content table 26 to the terminal device 2 based on the current location information transmitted from the terminal device 2 and the position information of the content C transmitted to the terminal device 2. Update the browsing rate. The information providing unit 32 updates the area browsing rate and the entire browsing rate of the content C, which is the content related position, in the content table 26. For example, in the case where the area browsing ratio = 3/21 and the whole browsing ratio = 38/2979, the information providing unit 32 performs updating so that the area browsing ratio = 4/21 and the whole browsing ratio = 39/2979.

  Further, the information providing unit 32 updates the browsing rate of the entire content C that is not the content related position in the content table 26, but does not update the area browsing rate. For example, in the case where the area browsing ratio = 3/20 and the whole browsing ratio = 38/2979, the information providing unit 32 performs updating so that the whole browsing ratio = 39/2979, and does not update the area browsing ratio = 3/20. .

[2.2.3.4. Proposal Content Providing Unit 33]
The proposal content providing unit 33 proposes browsing to the user U who is browsing the first content CA, based on the position information added to the first content CA which is the content C provided by the information providing unit 32. The second content CB which is the content C is determined. The proposal content provision unit 33 includes an acquisition unit 43, a determination unit 44, and a content provision unit 45.

(Acquisition unit 43)
The acquisition unit 43 is added with position information by the position information addition unit 31, and the position information added to the first content CA provided to the user U by the information providing unit 32, and a plurality of items other than the first content CA. The position information attached to each of the contents C is acquired.

  For example, when the content C11 is selected by the user U in the content list screen 61 shown in FIG. 5, the content C11 is the first content CA. The acquisition unit 43 uses the one or more position information added to the content C11 provided to the terminal device 2 of the user U by the information providing unit 32 as the one or more position information of the first content CA from the content table 26 get.

(Determination unit 44)
The determination unit 44 determines one or more second contents CB to propose browsing to the user U, based on the one or more position information of the first contents CA acquired by the acquisition unit 43. When there are a plurality of determined second contents CB, the determination unit 44 determines the presentation order of the respective second contents CB to the user U.

  The determination unit 44 includes a content determination unit 46 and a proposal order determination unit 47. The content determination unit 46 sets one or more pieces of content C to which position information identical or related to the position information added to the first content CA among the plurality of contents C stored in the content storage unit 24 is added by the user U It is determined as a second content CB to suggest browsing to.

  The same position information as the position information added to the first content CA is the position information indicating the point A when the position information added to the first content CA indicates the point A. In addition, when the position information added to the first content CA indicates the point A, the position information added to the first content CA and the related position information indicate the point or region adjacent to the point A. Information or position information indicating a point or area in an area (area) including the point A.

  For example, it is assumed that the position information added to the first content CA indicates a point A (for example, the address of a restaurant). In this case, the content determination unit 46 adds content C to which position information indicating point A is added, and content C to which position information indicating points or areas within a predetermined range (for example, within 50 m) centering on point A is added. And any one or more of the content C to which position information indicating a region including the point A is added can be determined as the second content CB.

  It is assumed that position information added to the first content CA indicates area B (for example, Roppongi, Minato-ku, Tokyo). In this case, the content determination unit 46 adds the content C to which position information indicating the area B is added, the content C to which position information indicating a point or area within a predetermined range (for example, within 1 km) centering on the area B, And one or more of the content C to which position information indicating a region (for example, Minato-ku, Tokyo) including the region B and wider than the region B is added can be determined as the second content CB.

  In addition, when the number of contents to which position information the same as or related to the position information added to the first content CA is added exceeds the predetermined number N5, the content determination unit 46 sequentially selects the content in the order of contents having a higher overall browsing ratio. A predetermined number N5 can be selected. Then, the content determination unit 46 can determine the selected predetermined number N5 of content as the second content CB. For example, when the points or areas indicated by the plurality of pieces of position information added to the first content CA are within a range across prefectures, the content determination unit 46 determines that the content having a higher overall browsing ratio is predetermined The number N5 of contents are determined as the second contents CB.

  In addition, when the number of contents to which position information the same as or related to the position information added to the first content CA is added exceeds the predetermined number N5, the content determination unit 46 sequentially selects the contents with the higher area browsing ratio A predetermined number N5 can be selected. The area browsing ratio here is a browsing ratio of the area including the point specified by the position information added to the first content CA. For example, when the point or area indicated by the position information added to the first content CA falls within the range to be calculated for the area browsing ratio, the content determining unit 46 sequentially selects the content with the higher area browsing ratio. A predetermined number N5 is selected.

  In addition, when the number of contents to which the position information the same as or related to the position information added to the first content CA is added exceeds the predetermined number N5, the content determination unit 46 compares the ratio of the area browsing ratio to the entire browsing ratio Can be selected in order from a higher content by a predetermined number N5. The area browsing ratio here is a browsing ratio of the area including the point specified by the position information added to the first content CA. For example, when the point or area indicated by the position information added to the first content CA is within the range to be calculated for the area browsing ratio, the content determining unit 46 compares the ratio of the area browsing ratio to the total browsing ratio. Select a predetermined number N5 in order from higher contents.

  In addition, the proposal order determination unit 47 can calculate, for each second content CB, the degree of association Sr indicating the degree of association with the position information added to the first content CA. Then, the proposal order determination unit 47 determines the proposal order of each second content CB such that the proposal order to the user U becomes higher in priority as the second content CB having a higher degree of association Sr. The proposal order is the order of the second content CB presented to the user U, and is displayed at a position where the user U can easily grasp the higher the proposal order. For example, in the case of the content display screen 62 shown in FIG. 6 described later, the proposal order of the content C21 is the first, and the proposal order of the content C25 is the second.

  When the position information added to the first content CA is the point A, the proposal order determination unit 47 increases the degree of association Sr as the second content CB to which the position information indicating the point closer to the point A is added. . In addition, when the position information added to the first content CA is the area B, the proposal order determining unit 47 determines the degree of association Sr as the second content CB to which the position information indicating the area near the area B is added. Make it higher. In addition, the proposal order determination unit 47 increases the degree of association Sr as the second content CB to which position information indicating a point closer to a predetermined point in area B (for example, the center position of area B) is added. Can.

  In addition, in the case where the plurality of pieces of position information are added to the first content CA, the proposal order determining unit 47 determines, as the second content, the total value of the plurality of association degrees Sr1 obtained based on each of the plurality of pieces of position information. It calculates as relevance Sr for every CB. The degree of association Sr1 is the same value as the degree of association Sr for each second content CB when it is assumed that only one piece of position information is added to the first content CA.

  For example, when two pieces of position information are added to the first content CA, the proposal order determining unit 47 adds the degree of association Sr1 obtained from one position information and the degree of association Sr1 obtained from the other position information. A value, an average value, or a multiplication value can be calculated as the degree of association Sr of the second content CB.

  In addition, the proposal order determination unit 47 determines whether the average value or the total value of the degrees of association Sr1 obtained from the one position information added to the first content CA is the sum of the average values of the degrees of association obtained from the other position information. When it is higher than the value by the threshold value or more, the degree of association obtained from one position information can be set as the degree of association Sr of the second content CB. In this manner, the proposal order determination unit 47 determines the degree of association of the second content CB based on the average value or the total value of the degree of association information Sr1 obtained from the position information added to the first content CA. Sr can be determined.

  Note that, when there is a plurality of pieces of position information of each second content CB, the proposal order determining unit 47 uses one of the pieces of position information of each second content CB with the highest degree of association SR, Sr1. The total value of the degree of association SR, Sr1 for each content CB may be used.

  In addition, the proposal order determining unit 47 calculates the degree of similarity indicating the degree of similarity between the first content CA and each second content CB, and each of the numbers determined by the content determining unit 46 based on the calculated degree of similarity. The proposal order of the content CB of 2 can be determined.

  For example, the proposal order determination unit 47 extracts a plurality of words from the text included in the first content CA by morphological analysis or the like. In addition, the proposal order determination unit 47 similarly extracts a plurality of words from the text included in the second content CB by morphological analysis or the like. The proposal order determination unit 47 uses the vector space model based on the plurality of words extracted from the first content CA and the plurality of words extracted from the second content CB to generate the first content CA and the second content CA. The similarity of each second content CB is calculated. It is to be noted that a technique for calculating the degree of similarity between documents is known, and thus the detailed description is omitted here.

  The proposal order determination unit 47 sets the proposal order of each second content CB so that the proposal order is higher for the second content CB having a lower similarity to the first content CA among the plurality of second contents CB. It can be decided. In addition, the proposal order determination unit 47 is configured such that the proposal order becomes higher as the second content CB having a higher degree of similarity with the first content CA among the plurality of second contents CB determined by the content determination unit 46 The proposal order of each second content CB can also be determined.

  When the number of second contents CB exceeds a predetermined number N6 (<N5), the determination unit 44 selects a predetermined number N6 of second contents CB in descending order of similarity, or the similarity is high. A predetermined number N5 of second contents CB can be selected in order.

  In addition, the determination unit 44 can determine the proposal order of each second content CB based on the degree of similarity and the degree of association. For example, the determination unit 44 sets the proposal order of each second content CB such that the proposal order becomes higher as the average value, the sum value, or the multiplication value of the average value of the similarity degree and the association degree is higher or lower. It can also be determined. In addition, the determination unit 44 weights each of the similarity degree and the association degree, and the second content CB is proposed as the average value, the sum value or the multiplication value of the weighted similarity degree is higher or lower. The proposal order of each second content CB can also be determined so as to be higher.

  In addition, the determination unit 44 determines that the second content CB having a higher overall browsing ratio, the second content CB having a higher regional browsing ratio, or the second having a higher ratio of the regional browsing ratio to the overall browsing ratio. The proposal order of each second content CB can also be determined such that the proposal order becomes higher as the content CB becomes higher.

(Content provider 45)
The content providing unit 45 transmits information indicating that the one or more second content CB determined by the determination unit 44 is to be proposed to the user U (hereinafter referred to as proposal information) as the communication unit 20 and the network 3. To the terminal device 2 via The proposal information of the second content CB transmitted by the content providing unit 45 to the terminal device 2 is, for example, information including a headline and a link of the second content CB.

  The control unit 11 of the terminal device 2 causes the display unit 12 to display a display screen displaying the first content CA acquired from the information providing unit 32 via the communication unit 10 and the proposal information of one or more second content CBs. indicate. FIG. 6 is a diagram showing an example of the content display screen. In the content display screen 62 shown in FIG. 6, the content C11 is displayed as the first content CA, and a heading with a link of the content C21 and C25 is displayed as the proposal information of the second content CB.

  The user U of the terminal device 2 can click the headline of each second content CB on the content display screen 62 shown in FIG. 6 by an operation on the operation unit 13. The control unit 11 of the terminal device 2 transmits a transmission request for requesting the transmission of the second content CB to the information providing unit 32 based on the link attached to the header of the clicked second content CB. 3 to the information providing unit 32.

  The information providing unit 32 extracts the second content CB specified by the transmission request from the content storage unit 24 and sets the extracted second content CB as the first content CA via the communication unit 20 and the network 3 as a terminal It is transmitted to the device 2 and the content table 26 is updated. The control unit 11 of the terminal device 2 displays the first content CA on the display unit 12 based on the first content CA acquired from the information providing unit 32 via the communication unit 10.

  In the above-described example, the content providing unit 45 causes the terminal device 2 to display the heading of the second content CB in a list format, but causes the terminal device 2 to display the position of the second content CB in a map format. It can also be done. FIG. 7 is a diagram showing another example of the content display screen, and FIG. 8 is an enlarged view of the map area 64 shown in FIG.

In the content screen 63 shown in FIG. 7, the content C12 is displayed as the first content CA, and the position icons 65 ₁ and 65 ₂ of the two second content CB are displayed on the map. . In map area 64 shown in FIG. 8, position icon 65 ₁ while being positioned on a map is located at the point obtained from the position information of the content C21, the other position icon 65 _2, from the position information of the content C25 It will be placed at the point obtained.

As shown in FIG. 8, the position icon 65 _1, the link content C21 (e.g., URL for requesting content C21) is assigned, the position icon 65 _2, link content C25 (e.g., the content C25 URL for requesting) is attached. Also, a is balloon 66 ₁ attached to the position icon 65 _1, Such balloon 66 in _1, information such as the heading of the content C21 is displayed. Similarly, and is balloon 66 ₂ attached to the position icon 65 _2, Such balloon 66 in the _2, information such as the heading of the content C25 is displayed.

  As described above, the content providing unit 45 can transmit map information indicating the position specified by the position information of the second content CB by the position icon to the terminal device 2 and present it to the user U. Therefore, the user U who is browsing the first content CA can select the second content CB based on the position on the map, and the convenience of the user U can be improved.

  In addition to the position specified by the position information of the second content CB, the content providing unit 45 displays map information so that a position icon is displayed at the position on the map specified by the position information of the first content CA. Can be generated and transmitted to the terminal device 2. In this case, the map information is generated such that the position icon of the first content CA and the position icon of the second content CB are displayed on the map so as to be distinguishable by color or size.

  In addition, the content providing unit 45 performs content as in the above-described processing of the information providing unit 32 based on the current location information transmitted from the terminal device 2 and the position information of the determined one or more second content CBs. The whole browsing rate or the whole browsing rate and the area browsing rate of the second content CB of the table 26 which has transmitted the headline to the terminal device 2 are updated.

[3. Processing flow of information processing apparatus 1]
An example of the procedure of the information processing in the information processing apparatus 1 will be described with reference to FIG. FIG. 9 is a flowchart showing an example of the flow of information processing in the control unit 22 of the information processing device 1.

  As shown in FIG. 9, the control unit 22 determines whether the content C transmitted from the terminal device 2 to the information processing device 1 has been received (step S11). When it is determined that the content C has been received (step S11: Yes), the control unit 22 performs position information addition processing (step S12). The position information addition process of step S12 is the process of steps S21 to S23 shown in FIG. 10, and will be described in detail later.

  The control unit 22 determines whether or not there is a request for transmission of content C from the terminal device 2 when the process of step S12 ends or when it is determined that the content C is not received (step S11: No) (Step S13). If the control unit 22 determines that there is a transmission request for the content C (step S13: Yes), the control unit 22 reads the content C specified by the transmission request from the storage unit 21 and uses the read content C as the first content CA. It transmits to the apparatus 2 (step S14).

  After the process of step S14 is completed, the control unit 22 executes the content proposal process (step S15). The content proposal process of step S15 is the process of steps S31 to S34 shown in FIG. 11 and will be described in detail later. When the control unit 22 determines that there is no request for transmission of the content C when step S15 ends (step S13: No), the process illustrated in FIG. 9 ends.

  Although the control unit 22 is configured to sequentially perform the process of step S14 and the process of step S15, the control unit 22 can perform the process of step S14 and the process of step S15 in parallel.

  FIG. 10 is a flowchart showing an example of the position information addition process of step S12 shown in FIG. As shown in FIG. 10, the control unit 22 acquires the content C transmitted from the terminal device 2 to the information processing device 1 and stores the content C in the storage unit 21 (step S21). The control unit 22 extracts a plurality of position determination elements from the content C stored in the storage unit 21 (step S22).

  The control unit 22 selects the position information to be added to the content C based on the plurality of position determination elements extracted in step S22, adds the selected position information to the content C, and updates the content table 26 (step S23) .

  FIG. 11 is a flow chart showing an example of the content proposal process of step S15 shown in FIG. As shown in FIG. 11, the control unit 22 acquires position information of the first content CA, which is the target content of the transmission request, from the storage unit 21 (step S31). The control unit 22 determines the content C having a predetermined number N3 or less from the content table 26 as the second content CB based on the position information of the first content CA (step S32). Specifically, the control unit 22 determines, as the second content CB, one or more pieces of content C to which position information that is the same as or related to the position information of the first content CA acquired in step S22 is added.

  Next, the control unit 22 determines the proposal order to the user U of the second content CB based on the relationship between the first content CA and the second content CB (step S33). Then, the control unit 22 proposes the second content CB to the user U in the proposal order determined in step S33 (step S34), and ends the process illustrated in FIG. The proposal of the second content CB is performed, for example, by transmitting information that can access the second content CB, a heading of the second content CB, and the like.

[4. Other]
In the embodiment described above, the area browsing rate and the overall browsing rate are set in the content table 26, but instead of the area browsing rate and the overall browsing rate, the total number of times of proposal and browsing times, the number of times of area proposal and browsing The number of times may be set in the content table 26. The control unit 22 can calculate the entire browsing rate based on the total number of times of proposal and the number of browsing times, and calculate the area browsing rate based on the number of times of proposal and the number of browsing times of the area.

  In the above-described embodiment, the proposal information including the headline of the second content CB is the information for proposing to the user U who is browsing the first content CA. However, the proposal information is an outline of the second content CB Is not limited to the headline of the second content CB, as long as the user U can grasp it. For example, an icon or an image indicating the type of the second content CB may be included as the proposal information.

[5. program〕
In addition, the information processing apparatus 1 in the embodiment described above is realized, for example, by the computer 50 having a configuration as shown in FIG. 12 executing an information processing program. 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 to control each part. The ROM 53 stores a boot program executed by the CPU 51 when the computer 50 starts up, a program depending on the hardware of the computer 50, and the like.

  The HDD 54 stores data and the like used by programs executed by the CPU 51. For example, the HDD 54 stores data similar to the position information table 25 and the content table 26 described above. The communication interface 55 receives data from another device via the network 3 and sends it to the CPU 51, and transmits data generated by the CPU 51 to the other device via the network 3.

  The CPU 51 controls an output device such as a display or a printer and an input device such as a keyboard or a mouse through the input / output interface 56. The CPU 51 acquires data from the input device via the input / output interface 56. The CPU 51 also 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 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 digital versatile disc (DVD) or a phase change rewritable disc (PD), a magneto-optical recording medium such as a magneto-optical disk (MO), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  The CPU 51 of the computer 50 implements the functions of the content receiving unit 30, the position information adding unit 31, the information providing unit 32, and the proposed content providing unit 33 illustrated in FIG. 2 by executing the programs loaded on the RAM 52. . The CPU 51 of the computer 50 reads the information processing program from the recording medium 58 and executes it, but as another example, the program may be acquired from another device via the network 3.

[6. effect〕
The information processing apparatus 1 according to the embodiment includes an acquisition unit 43 and a determination unit 44. The acquisition unit 43 acquires position information added to the first content CA based on the analysis result of the first content CA. The determination unit 44 sets one or more pieces of content C to which the position information identical or related to the position information added to the first content CA acquired by the acquisition unit 43 among the plurality of contents C is added to the first content C. The content CA is determined as the second content CB to propose browsing to the user U who is browsing the content CA. Thus, it is possible to propose the user U the second content CB suitable for the user U who is browsing the first content CA. It should be noted that the second content CB may be proposed to the user U while the user U is browsing the first content CA, and the first content CA and the proposal information of the second content CB may be simultaneously used by the user U. It may be provided to

  Also, the first content CA and the second content CB are articles such as news and blogs. This makes it possible to propose to the user U another article suitable for the user U who is viewing the article.

  Also, the position information includes information corresponding to at least one of a point and an area. Thereby, for example, the second content CB associated with the point and area described in the first content CA can be proposed to the user U.

  In addition, the determination unit 44 prioritizes the content C having a high overall browsing ratio or an area browsing ratio (an example of a browsing ratio according to a proposal) among the plurality of pieces of content C and determines the content C as the second content CB. Thereby, the second content CB having a high browsing frequency can be proposed to the user U.

  In addition, the determination unit 44 prioritizes the content C having a higher area browsing ratio, which is a browsing ratio in a point or area determined by the position information, among the plurality of pieces of content C, and determines it as the second content CB. Thereby, for example, it is possible to propose to the user U the second content CB having a high browsing frequency in a point or area determined by the position information added to the first content CA. The determination unit 44 can determine, as a point or area determined by the position information, the same area as the point or area identified by the position information or an area wider than the point or area specified by the position information.

  Further, position information is added to the second content CB based on the analysis result of the second content CB. Therefore, the second content CB to be proposed to the user U who is browsing the first content CA is selected from the plurality of contents C provided by the user U who is the contributor without the position information being added. Can.

  In addition, the information processing device 1 according to the embodiment provides the content providing unit 45 which provides the user U with map information indicating a position corresponding to the second content CB based on the position information added to the second content CB. Equipped with

  Further, the determination unit 44 includes a content determination unit 46 and a proposal order determination unit 47. The content determination unit 46 generates, from among the plurality of pieces of content C, one or more pieces of content C to which the position information identical or related to the position information added to the first content CA acquired by the acquisition unit 43 is added. Determined as the content CB of The proposal order determination unit 47 determines the proposal order of each second content CB based on the similarity between the first content CA and each second content CB.

  Further, the proposal order determination unit 47 proposes each second content CB such that the second content CB having a lower similarity to the first content CA among the plurality of second contents CB is higher in proposal order. Determine the order. As a result, among the second content CB including position information indicating a point or position specified by the position information of the first content CA, the proposed order of the second content CB having a low relevancy to the first content CA Can be raised. Therefore, for example, the user U can increase the possibility of obtaining new information by the second content CB regarding the point or the position specified by the position information of the first content CA.

  In addition, the proposal order determination unit 47 proposes each second content CB such that the second content CB having higher similarity to the first content CA among the plurality of second contents CB is higher in proposal order. Determine the order. Thereby, the user U can increase the possibility of obtaining more detailed information than the content of the first content CA with respect to the point or the position specified by the position information of the first content CA.

  Further, the information processing device 1 according to the embodiment adds position information to the first content CA based on the analysis result of the first content CA, and adds position information to the content C based on the analysis result of the content C. The position information adding unit 31 is provided. Thus, the position information is added to the content C based on the analysis result of the content C, so that the user U browses using the content C provided by the user U who is the contributor without adding the position information. The content C geographically related to the content of the content C in the content can be proposed to the user U.

  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 such as being realized by calling an external platform or the like by an API or network computing.

  Also, the "section (module, unit)" described above can be read as "means" or "circuit". For example, the proposal order determination unit can be read as a proposal order determination means or a proposal order 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 is apparent to those skilled in the art that various changes or modifications can be added to the above embodiment. It is also apparent from the scope of the claims that the embodiments added with such alterations 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 content storage unit 30 the content receiving unit 31 the position information adding unit 32 provides 33 proposed contents providing information Part 41 Extraction part 42 Selection part 43 Acquisition part 44 Determination part 45 Content provision part 46 Content determination part 47 Proposal order determination part 100 Information processing system

Claims (12)

An acquisition unit for acquiring position information attached to the first content based on an analysis result of the first content;
Among the plurality of contents, one or more contents to which position information identical or related to the position information added to the first content acquired by the acquisition unit is added are being browsed for the first content. An information processing apparatus, comprising: a determination unit configured to determine a second content for proposing browsing to a user. The information processing apparatus according to claim 1, wherein the first content and the second content are articles. The position information is
The information processing apparatus according to claim 1, comprising information corresponding to at least one of a point and an area. The determination unit is
The information processing apparatus according to any one of claims 1 to 3, wherein among the plurality of contents, contents having a higher browsing rate according to the proposal are determined as the second contents in preference. The determination unit is
The information processing method according to claim 4, wherein the content having the higher browsing ratio in the spot or area determined by the position information among the plurality of pieces of content is preferentially determined as the second content. apparatus. The information providing unit for providing the user with map information indicating a position corresponding to the second content based on the position information added to the second content. The information processing apparatus according to any one. The determination unit is
Among the plurality of contents, a plurality of contents to which position information identical or related to the position information added to the first content acquired by the acquisition unit is added are determined as a plurality of second contents. The content determination unit to
A proposal order determination unit which determines a proposal order of each of the second contents based on the similarity between the first content and each of the second contents. The information processing apparatus according to any one. The proposal order determination unit
The proposal order of each second content is determined such that the proposal order is higher as the second content having a lower similarity to the first content among the plurality of second contents. The information processing apparatus according to claim 7. The proposal order determination unit
The proposal order of each second content is determined so that the proposal order is higher as the second content having the higher similarity to the first content among the plurality of second contents. Item 8. The information processing device according to item 7.
A position information adding unit that adds position information to the first content based on an analysis result of the first content, and adds position information to each of the plurality of contents based on an analysis result of the plurality of contents The information processing apparatus according to any one of claims 1 to 9, characterized in that: An acquiring step of acquiring position information attached to the first content based on an analysis result of the first content;
Among a plurality of contents, one or more contents to which position information identical or related to the position information added to the first content acquired by the acquisition step is added are being browsed for the first content. A decision step of deciding as a second content to suggest browsing to the user;
An information processing method comprising: An acquisition procedure for acquiring position information attached to the first content based on an analysis result of the first content;
Among the plurality of contents, one or more contents to which position information identical or related to the position information added to the first content acquired by the acquisition procedure is added are being browsed for the first content. A determination procedure of determining as a second content to suggest browsing to the user;
An information processing program characterized by causing a computer to execute.

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