JP7519406B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

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

Conventionally, there is technology that accepts responses to content such as news from users who distribute that content (e.g., "likes"), and allows other users to see the user's responses.

JP 2010-063008 A

However, the conventional technology leaves room for improvement in terms of providing more convenient content. One possible solution is to accept a user's designation for highlighting a portion of the content and highlight the designated portion of the content, but there is still room for further improvement.

The present application has been made in consideration of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can provide content with higher convenience.

The information processing device according to the present application includes an extraction unit, a placement unit, and a provision unit. The extraction unit extracts, as a specific part, a part that satisfies a specific condition from among a plurality of parts of the content designated for highlighting by a plurality of users. The placement unit places, in the content, a link that transitions to the specific part extracted by the extraction unit. The provision unit provides the content in which the link has been placed by the placement unit.

According to one aspect of the embodiment, it is possible to provide content with higher convenience.

FIG. 1 is a diagram illustrating information processing according to an embodiment. FIG. 2 is a diagram showing an example of linked content provided by the information processing device according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. FIG. 4 is a diagram illustrating an example of the configuration of an information processing device according to an embodiment. FIG. 5 is a diagram illustrating an example of user information of the information processing device according to the embodiment. FIG. 6 is a diagram illustrating an example of highlighting information of the information processing device according to the embodiment. FIG. 7 is a diagram illustrating an example of content information stored in the storage unit of the information processing device according to the embodiment. FIG. 8 is a diagram showing an example of content provided by the information processing device according to the embodiment. FIG. 9 is a flowchart showing the procedure of information processing executed by the information processing apparatus according to the embodiment. FIG. 10 is a diagram illustrating an example of a hardware configuration of an information processing apparatus according to an embodiment.

Below, the information processing device, information processing method, and information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. In addition, the same parts in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be omitted.

First, information processing executed by an information processing device according to an embodiment will be described with reference to FIG. 1. FIG. 1 is a diagram showing information processing according to an embodiment. Note that FIG. 1 shows an example of the operation of an information processing system S including an information processing device 1 according to an embodiment. As shown in FIG. 1, the information processing system S according to an embodiment includes an information processing device 1 and multiple user terminals 50.

In the explanation using FIG. 1, for convenience, the multiple user terminals 50 are divided into user terminal 50a, user terminal 50b, and user terminal 50c. In the example shown in FIG. 1, only one each of user terminal 50a, user terminal 50b, and user terminal 50c is shown, but the information processing system S includes multiple each of user terminal 50a, user terminal 50b, and user terminal 50c. User terminal 50 can be any of user terminal 50a, user terminal 50b, and user terminal 50c.

As shown in FIG. 1, in the information processing system S according to the embodiment, first, the information processing device 1 distributes content to the user terminal 50a (step S1). In FIG. 1, an example of distributing news is shown as an example of content, but the content is not limited to news and may be any content that includes text, images, etc., such as posted articles.

Next, the user terminal 50a displays the delivered content on the screen and receives a designation from the user to highlight a portion of the content displayed on the screen (step S2). FIG. 1 shows an example in which a portion of the text included in the content, specifically, "Remote work... is possible," is designated. Note that in addition to text, the user can also designate an image (still image or video) included in the content as the target for highlighting.

Although FIG. 1 shows an example where designation is made on a sentence-by-sentence basis, designation may also be made on a character-by-character, word-by-word, or phrase-by-phrase basis, and designation may also be made at multiple locations in one piece of content. When user terminal 50a receives a designation to highlight a portion of the content, it transmits designation information indicating the received designation of highlighting to information processing device 1. Information processing device 1 receives a designation to highlight a portion of the content based on the designation information from user terminal 50a.

Next, the information processing device 1 highlights a portion of the specified content (step S3). FIG. 1 shows an example in which a portion of the specified content is highlighted by underlining, but the text can also be displayed in bold, highlighted, or surrounded by a frame. Furthermore, the information processing device 1 can further strengthen the highlighting (underlined and bold, etc.) when, for example, a cursor (which can be moved with a mouse, etc.) displayed on the screen moves to a portion of the content, or when a user selects a portion of the content.

Next, when the information processing device 1 receives a request to view content from the user terminal 50b, it delivers the content with a part of it highlighted to the user terminal 50b (step S4). The content with a part of it highlighted may be delivered only to other users who have similar attribute information to the user who specified the highlighting. Furthermore, the content with a part of it highlighted may be delivered only to other users who are interested in the content (presumed to be interested based on behavioral information, etc.). Note that the processing of step S3 may be performed in the processing of step S4. Furthermore, hereinafter, the content with a part of it highlighted may be referred to as highlighted content.

Next, the information processing device 1 accepts the user's reaction to the part of the content highlighted via the user terminal 50b (step S5). For example, the information processing device 1 accepts, as the user's reaction, a reaction of approval (evaluation) of the part of the content (e.g., "Like"), a comment on the part of the content, or the like. For example, the information processing device 1 accepts the user's reaction by displaying, near the highlighted part of the content, rating buttons (agreement and disagreement buttons) for making an evaluation reaction, and buttons for inputting a comment. The information processing device 1 may also display a rating button for receiving an evaluation (agreement and disagreement) on the input comment.

In addition, the information processing device 1 may display information about the user who specified the highlighting (such as attribute information and the number of users who specified the highlighting) together with the highlighted content.

Next, the information processing device 1 extracts, as specific parts, from among the multiple highlighted parts in the content, highlighted parts that satisfy specific conditions (step S6). The highlighted parts are parts of the content that have been specified as highlighted by the user and are therefore highlighted.

The specific conditions are, for example, the number of users who specified highlighting, the type of user who specified highlighting, the attributes of the user who specified highlighting, the user's reaction to the highlighted portion, etc. In what follows, the user who specified highlighting may be referred to as the highlight specifying user.

For example, the information processing device 1 extracts, from among multiple highlighted portions, highlighted portions for which the number of users who have specified highlighting satisfies a specific numerical condition as specific portions. This allows the information processing device 1 to extract, for example, highlighted portions in which users are likely to be interested as specific portions.

Specific numerical conditions include, for example, the number of users who have designated emphasis being equal to or greater than a threshold value, the number of users who have designated emphasis being in the top n places, the ratio of the number of users who have designated emphasis being equal to or greater than a threshold value, etc. n is, for example, an integer equal to or greater than 2. The ratio of the number of users who have designated emphasis is the ratio of the number of users who have designated emphasis in the highlighted portion to the total number of users who have designated emphasis in the content.

The information processing device 1 also extracts, as specific parts, those highlighted parts among the multiple highlighted parts where the highlighted user is a specific user. The specific user is, for example, an expert in the field indicated by the content, but is not limited to this example. For example, the specific user may be a user specified by the content provider, or may be a user having attributes specified by the content provider.

In addition, the information processing device 1 can extract, as a specific part, an highlighted part that has been specified for highlighting by a user who has attributes similar to the attributes of the user to whom the content is to be provided. This allows the information processing device 1 to extract, as a specific part, an highlighted part that is likely to interest the user to whom the content is to be provided.

The information processing device 1 can also extract specific parts for each attribute of the highlight-specified user. This allows the information processing device 1 to extract, as specific parts, highlighted parts that are likely to interest the user for each user attribute.

User attributes include the user's demographic attributes and psychographic attributes. Demographic attributes include, for example, gender, age, place of residence, and occupation, while psychographic attributes include interests such as travel, clothing, cars, and religion, lifestyle, thoughts, and ideological tendencies.

For example, the information processing device 1 can extract, as specific parts, parts that have been specified for highlighting by a male highlighting user in his twenties and parts that have been specified for highlighting by a female highlighting user in her twenties.

In addition, for example, the information processing device 1 can extract, as specific parts, parts that have been specified for highlighting by a user whose lifestyle is a first preference and parts that have been specified for highlighting by a user whose lifestyle is a second preference. The first preference is, for example, outdoors, and the second preference is indoors.

In addition, for example, the information processing device 1 can extract, as specific parts, parts specified for highlighting by a user with a first ideological tendency and parts specified for highlighting by a user with a second ideological tendency. The first tendency is conservatism, and the second tendency is liberal.

In addition, the information processing device 1 can extract, as a specific part, a part that has been highlighted by an emphasis user who has an attribute corresponding to the type of content among the attributes of multiple emphasis users. For example, in the case of content related to politics, the attribute corresponding to the type of content is, for example, an ideological tendency, such as conservative or liberal. This allows the information processing device 1 to extract, as a specific part, an emphasis part that is likely to interest the user depending on the type of content.

In addition, the information processing device 1 can also extract, as a specific part, a part that has been specified for highlighting by an emphasis-specifying user who has attributes corresponding to the attributes of the user to whom the content is to be provided and the type of content.

In addition, the information processing device 1 can extract, as a specific part, an emphasized part for which the user's reaction satisfies a specific condition from among the multiple emphasized parts. For example, the information processing device 1 extracts, as a specific part, an emphasized part for which the number of favorable evaluations from the user's reaction satisfies a specific numerical condition from among the multiple emphasized parts. This allows the information processing device 1 to extract, for example, an emphasized part with a high evaluation as a specific part.

The specific numerical condition is, for example, the number of favorable ratings being greater than or equal to a threshold, the percentage of the number of favorable ratings being greater than or equal to a threshold, etc. The percentage of the number of favorable ratings is the ratio of the number of favorable ratings to the total number of ratings for the content.

The information processing device 1 can also extract, as a specific part, an emphasized part for which the number of unfavorable evaluations as a user response satisfies a specific numerical condition from among multiple emphasized parts. This allows the information processing device 1 to extract, for example, an emphasized part with a low evaluation as a specific part.

Specific numerical conditions include, for example, the number of unfavorable ratings being greater than or equal to a threshold, the percentage of the number of unfavorable ratings being greater than or equal to a threshold, etc. The percentage of the number of unfavorable ratings is the ratio of the number of unfavorable ratings to the total number of ratings for the content.

The number of favorable ratings is, for example, the number of users who have given favorable ratings, and the number of unfavorable ratings is, for example, the number of users who have given unfavorable ratings. Users who have given favorable ratings are, for example, users who have pressed the rating button indicating approval or users who have input favorable comments. Users who have given unfavorable ratings are, for example, users who have pressed the rating button indicating disapproval or users who have input unfavorable comments. The information processing device 1 determines whether a comment is favorable or unfavorable based on, for example, the number of favorable words or the number of unfavorable words contained in the comment.

The information processing device 1 then places in the content a link that transitions to the specific portion extracted in step S6 (step S7). The link placed in the content in step S7 is, for example, a link that scrolls the area of the content displayed on the display unit of the user terminal 50 to display the specific portion in a specific area (e.g., a central area) in the display area of the display unit of the user terminal 50, and includes, for example, link text information and link information that is information on the link destination (e.g., information indicating a position in the content).

In addition, when there are multiple specific parts extracted in step S6, the information processing device 1 places multiple links in the content, each of which transitions to a corresponding one of the multiple specific parts. The information processing device 1 can place these multiple links, for example, in a position higher than the main text of the content (for example, in an upper position) or in a position next to the main text of the content.

The information processing device 1 can extract characteristic words or phrases from a specific portion and set the extracted words or phrases as link text in the content. For example, the information processing device 1 can calculate the TF-IDF (Term Frequency-Inverse Document Frequency) value of a word or phrase included in the text of a specific portion of the content and extract characteristic words or phrases based on the TF-IDF value.

In addition, the information processing device 1 can summarize a specific portion and set the summarized content as link text in the content. For example, the information processing device 1 has a summary model that inputs text, summarizes the input text, and outputs the main points of the input text. By inputting a specific portion of text into the summary model, the information processing device 1 can obtain a summary of the specific portion of text from the summary model.

The summary model is an extraction model or an abstraction model. As such a summary model, for example, a known machine learning model such as Seq2Seq (sequence-to-sequence) (see, for example, JP 2021-149606 A) can be used, but is not limited to such an example.

Next, when the information processing device 1 receives a content viewing request from the user terminal 50c, it delivers the highlighted content with the link to the user terminal 50c, thereby providing the linked content to the user of the user terminal 50c (step S8).

FIG. 2 is a diagram showing an example of linked content provided by an information processing device according to an embodiment. In the example shown in FIG. 2, the linked content is larger than the display area of the display unit of the user terminal 50, and a portion of the linked content is displayed in the display area of the user terminal 50.

The linked content shown in Figure 2 includes an image, some of the main text highlighted, and a link area that includes multiple links. The link area includes three links. The first link transitions to the highlighted portion, "We're in the company...", and the link text is "We're hiring for a side job."

The second link transitions to the emphasized section "However,..." and has the link text "Careful consideration." The third link transitions to the emphasized section "Benefit 2) A place to play..." and has the link text "Focus on your work."

The information processing device 1 can also provide, for example, information on the number of users who pressed the rating button. The information processing device 1 can also provide a list of the comments that were input, a summary of the comments, analysis results of the comments (such as trends in the comments), and the like. The information processing device 1 can also provide information on the users who responded (such as attribute information).

The information processing device 1 can also provide a ranking according to the number of users who pressed a rating button indicating approval. Such rankings may be displayed on a timeline, for example, together with access information (e.g., URL) to the content.

The information processing device 1 can also highlight and provide comments that have received high ratings (amount of approval above a threshold) for the input comment. The information processing device 1 can also provide the input comment to other services (e.g., SNS, etc.).

In this way, the information processing device 1 places a link in the content that transitions to a specific part that satisfies a specific condition among multiple highlighted parts of the content, and provides the content with the link placed. This allows the information processing device 1 to quickly and easily check, for example, highlighted parts of the content that are likely to interest the user, and can provide more convenient content.

Next, a configuration example of an information processing system S according to an embodiment will be described with reference to FIG. 3. FIG. 3 is a diagram showing a configuration example of an information processing system S according to an embodiment. As shown in FIG. 3, in the information processing system S according to an embodiment, an information processing device 1 and multiple user terminals 50 are connected to a network N by wire or wirelessly. The network N is, for example, the Internet, a wide area network (WAN), a local area network (LAN), or the like.

The information processing device 1 is a server device that executes an information processing method. The information processing device 1 accepts a designation for highlighting a portion of content delivered to a user. The information processing device 1 also highlights the designated portion of the content and accepts the user's reaction to the highlighted portion of the content. The information processing device 1 also provides information based on the accepted user reaction. The information processing device 1 also provides content in which a link is placed to transition to a specific portion, which is a portion that satisfies a specific condition, among multiple highlighted portions of the content.

The content may be distributed by the information processing device 1 or by an external distribution server.

In addition, the information processing device 1 is an information processing device that cooperates with each user's user terminal 50 and provides each user's user terminal 50 with API (Application Programming Interface) services for various applications (hereinafter, apps), etc., and various data, and is realized by a server device, a cloud system, etc.

The information processing device 1 may also be an information processing device that provides some kind of web service online to the user terminal 50 of each user. For example, the information processing device 1 may provide services such as Internet connection, search services, SNS (Social Networking Service), electronic commerce (EC), electronic payment, online games, online banking, online trading, accommodation and ticket reservations, video and music distribution, news, maps, route searches, route guidance, line information, operation information, and weather forecasts as web services. In practice, the information processing device 1 may cooperate with various servers that provide the above-mentioned web services, and may act as an intermediary for the web services or be responsible for processing the web services.

The user terminal 50 is a terminal device owned by a user. The user terminal 50 can be any type of terminal device, such as a smartphone, a desktop PC (Personal Computer), a notebook PC, or a tablet PC. The user terminal 50 transmits various types of information to the information processing device 1 and receives information provided by the information processing device 1.

Next, an example configuration of the information processing device 1 will be described with reference to FIG. 4.

Fig. 4 is a diagram showing an example configuration of an information processing device 1 according to an embodiment. As shown in Fig. 4, the information processing device 1 has a communication unit 2, a control unit 3, and a storage unit 4. The control unit 3 includes a distribution unit 31, a reception unit 32, a display control unit 33, an extraction unit 34, a placement unit 35, and a provision unit 36. The storage unit 4 stores user information 41, highlighting information 42, and content information 43.

The communication unit 2 is realized, for example, by a network interface card (NIC). The communication unit 2 is connected to the network via a wired or wireless connection.

The control unit 3 is a controller, and is realized, for example, by a processor such as a CPU (Central Processing Unit) or MPU (Micro Processing Unit) that executes various programs (corresponding to an example of an information processing program) stored in a storage device inside the information processing device 1 using a RAM or the like as a working area. The control unit 3 is also a controller, and may be realized, for example, by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a GPGPU (General Purpose Graphic Processing Unit).

The storage unit 4 is realized, for example, by a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk.

User information 41 is information about a user. FIG. 5 is a diagram showing an example of user information 41 of the information processing device 1 according to the embodiment. As shown in FIG. 5, user information 41 includes items such as "user ID," "attribute information," and "highlighted portion information."

"User ID" is identification information that identifies a user. "Attribute information" is information about the attributes of a user, including psychographic attributes and demographic attributes. Demographic attributes include, for example, gender, age, place of residence, and occupation, while psychographic attributes include interests such as travel, clothing, cars, and religion, lifestyle, thoughts, and ideological tendencies.

"Highlighted portion information" is information that indicates the highlighted portion, which is the portion (location) of the content that is specified by the user as the target for highlighting. "Highlighted portion information" is, for example, text, a still image, a video, etc.

The highlighting information 42 is information related to the highlighted content. FIG. 6 is a diagram showing an example of the highlighting information 42 of the information processing device 1 according to the embodiment. As shown in FIG. 6, the highlighting information 42 includes items such as "designated ID," "content ID," "highlighted portion information," and "reaction information."

"Designation ID" is identification information that identifies a part of the content designated as the target for highlighting. "Content ID" is identification information that identifies the content designated as the target for highlighting. "Highlighted portion information" is information that indicates the highlighted portion, which is the part (location) of the content designated as the target for highlighting. "Reaction information" is information that indicates the user's reaction to the highlighted portion of the content. Note that information indicating a comment by the user who designated the highlighting may be included in the reaction information.

The content information 43 is information about the content. FIG. 7 is a diagram showing an example of the content information 43 stored in the storage unit 4 of the information processing device 1 according to the embodiment. As shown in FIG. 7, the highlighting information 42 includes items such as "content ID" and "content." The "content ID" is identification information that identifies the content.

"Content" refers to information about the content, and includes, for example, layout information about the content, information about the text that makes up the content, and information about images that make up the content. Information about the text that makes up the content includes, for example, text information indicating the title of the content, text information indicating details about the content, and so on.

Next, we will explain each function of the control unit 3 of the information processing device 1 (distribution unit 31, reception unit 32, display control unit 33, extraction unit 34, placement unit 35, and provision unit 36).

The distribution unit 31 distributes content to the user terminal 50. For example, the distribution unit 31 distributes content that is highlighted by the display control unit 33 described below. The distribution destination of the highlighted content is, for example, other users who have similar attribute information to the user who specified the highlighting. In addition, the distribution destination of the highlighted content is other users who are interested in the highlighted content.

Fig. 8 is a diagram showing an example of content provided by the information processing device 1 according to the embodiment. Content 60 shown in Fig. 8 is news content, and includes an image 61 and text 62. Furthermore, part of the text 62 is highlighted by underlining. In the example shown in Fig. 8, highlighted portions 63a and 63b are shown as the highlighted portions.

The highlighted portion 63a is a part of the text 62 where "Remote work... is possible" is highlighted, and the highlighted portion 63b is a part of the text 62 where "Some companies... have..." is highlighted.

This allows the user to easily understand the highlighted portions 63a and 63b that other users have highlighted. Since the highlighted portions by other users are portions that other users recognize as important, the information processing device 1 can provide the user with high-quality content. In the following, when the highlighted portions 63a and 63b are not to be individually distinguished from each other, they may be referred to as highlighted portions 63.

The reception unit 32 receives a designation for highlighting a part of the content 60 distributed by the distribution unit 31. For example, the reception unit 32 receives a designation for highlighting text or an image (still image or video) included in the content 60.

Note that highlighting can be specified for any range, such as sentences, words, or phrases. Also, highlighting can be specified for multiple parts of one piece of content 60.

In addition, when the reception unit 32 receives a specification that does not make sense, it can check with the user whether there is an input error or correct the specified range so that the meaning of the sentence is correct.

The reception unit 32 also receives a user selection of a highlighted portion based on selection information transmitted from the user terminal 50. The reception unit 32 also receives a request to view the content 60 from the user terminal 50.

The display control unit 33 highlights a part of the content 60 specified by the reception unit 32. For example, the display control unit 33 can highlight the part of the specified content 60, display the text in bold, underline, or frame it. In addition, the display control unit 33 can further strengthen the highlighting (highlighted and bold, etc.) when, for example, a cursor (which can be moved with a mouse, etc.) displayed on the screen moves to a part of the content 60 or when a user selects a part of the content 60.

The reception unit 32 receives a user's reaction to the part of the content 60 highlighted by the display control unit 33. For example, the reception unit 32 receives, as the user's reaction, a reaction of approval (evaluation) of the part of the content 60 (e.g., "Like"), a comment on the part of the content 60, or the like. In other words, the reception unit 32 is capable of receiving different types of reactions, such as evaluations and comments.

For example, the reception unit 32 receives the user's response by displaying, near a portion of the highlighted content 60, rating buttons (for and against) for making an evaluative response and buttons for inputting a comment. These buttons can also be displayed, for example, when a user selects a portion of the highlighted content 60 or moves a cursor to a portion of the content 60. The reception unit 32 can also display rating buttons for receiving ratings (for and against) for the input comment.

The display control unit 33 also highlights all of the portions of the content 60 for which the acceptance unit 32 has accepted a designation for highlighting, but is not limited to this example. For example, the display control unit 33 can also highlight a portion of the content 60 for which the acceptance unit 32 has accepted a designation for highlighting and which has been designated for highlighting by a user similar to the viewing user viewing the content 60.

For example, the display control unit 33 can highlight a part of the content 60 for which a designation for highlighting has been accepted by the accepting unit 32 and which has been designated for highlighting by a user having attribute information similar to the attribute information of the viewing user. This makes it possible to highlight a portion that is highly likely to interest the viewing user.

The display control unit 33 may highlight not only based on similarity to the user who specified the highlighting, but also based on similarity to other users who responded to the highlighting by rating, commenting, etc. In other words, the display control unit 33 highlights a part of the content 60 for which the specification of highlighting has been accepted by the acceptance unit 32 and which has received responses from other users similar to the viewing user. This makes it possible to highlight parts that are likely to interest the viewing user.

In addition, when there are multiple other users who have responded to the portion for which the specification for highlighting has been accepted by the accepting unit 32, the display control unit 33 can also highlight a portion of the content 60 if the tendencies of the multiple other users are similar to that of the viewing user. This makes it possible to highlight a portion that is likely to interest the viewing user.

The display control unit 33 can also highlight a part of the content 60 specified by a user who has previously highlighted a part similar to a part previously specified by the viewing user among the parts for which the specification for highlighting has been accepted by the accepting unit 32. This makes it possible to highlight a part that is likely to interest the viewing user.

The display control unit 33 can also highlight a portion of the content 60 specified by a user who has responded similarly to the highlighting to which the viewing user has responded in the past. This allows highlighting to be performed on a portion that is likely to interest the viewing user.

The extraction unit 34 extracts, as a specific part, an emphasis portion 63 that satisfies a specific condition from among a plurality of emphasis portions 63 in the content 60. The emphasis portion 63 is a portion of the content 60 that has been specified for emphasis by the user and is thus highlighted. If all of the portions specified for emphasis by the user have not been highlighted by the display control unit 33, the emphasis portion 63 is a portion that has been highlighted by the display control unit 33.

The specific conditions are, for example, the number of users who specified the highlighting, the type of user who specified the highlighting, the attributes of the user who specified the highlighting, the user's reaction to the highlighted portion 63, etc. In the following, the user who specified the highlighting may be referred to as the highlight specifying user.

For example, the extraction unit 34 extracts, as a specific part, an emphasis portion 63 for which the number of users who have specified emphasis satisfies a specific numerical condition, from among a plurality of emphasis portions 63. This allows the extraction unit 34 to extract, as a specific part, an emphasis portion 63 in which, for example, a user is likely to show interest.

The specific numerical condition is, for example, that the number of users who have specified emphasis is equal to or greater than a threshold value, that the number of users who have specified emphasis is in the top n ranks, that the ratio of the number of users who have specified emphasis is equal to or greater than a threshold value, etc. n is, for example, an integer equal to or greater than 2. The ratio of the number of users who have specified emphasis is the ratio of the number of users who have specified emphasis in the highlighted portion 63 to the total number of users who have specified emphasis in the content.

The extraction unit 34 also extracts, as specific parts, the highlighted parts 63 where the highlighted user is a specific user from among the multiple highlighted parts 63. The specific user is, for example, an expert in the field indicated by the content 60, but is not limited to this example. For example, the specific user may be a user designated by the provider of the content 60, or may be a user having attributes designated by the provider of the content 60.

The extraction unit 34 can also extract, as a specific part, an emphasis portion 63 that has been specified for emphasis by a user who has attributes similar to those of the user to whom the content 60 is to be provided, from among the multiple emphasis portions 63. This allows the extraction unit 34 to extract, as a specific part, an emphasis portion 63 that is likely to interest the user to whom the content 60 is to be provided.

The extraction unit 34 can also extract specific parts for each attribute of the highlight-specifying user. This allows the extraction unit 34 to extract, as a specific part, the highlighted part 63 that is likely to interest the user for each user attribute.

User attributes include the user's demographic attributes and psychographic attributes. Demographic attributes include, for example, gender, age, place of residence, and occupation, while psychographic attributes include interests such as travel, clothing, cars, and religion, lifestyle, thoughts, and ideological tendencies.

For example, the extraction unit 34 can extract, as specific parts, parts that have been specified for highlighting by a male highlighting user in his twenties and parts that have been specified for highlighting by a female highlighting user in her twenties.

For example, the extraction unit 34 can extract a portion specified for highlighting by a user whose lifestyle is a first preference and a portion specified for highlighting by a user whose lifestyle is a second preference, separately as specific portions. The first preference is, for example, outdoors, and the second preference is indoors.

For example, the extraction unit 34 can extract a portion designated for highlighting by a user with a first ideological tendency and a portion designated for highlighting by a user with a second ideological tendency separately as specific portions. The first tendency is conservative, and the second tendency is liberal.

The extraction unit 34 can also extract, as a specific part, a part that has been highlighted by an emphasis user who has an attribute corresponding to the type of content 60 among the attributes of a plurality of emphasis users. For example, when the content 60 is a political content, the extraction unit 34 can extract, as a specific part, an attribute corresponding to the type of content 60, for example, a political ideological tendency, such as conservative or liberal. This allows the extraction unit 34 to extract, as a specific part, an emphasis part 63 that is likely to interest the user according to the type of content 60.

The extraction unit 34 can also extract, as a specific part, a part that has been specified for highlighting by an emphasis-specifying user who has attributes corresponding to the attributes of the user to whom the content 60 is to be provided and the type of content 60.

The extraction unit 34 can also extract, as a specific part, from among the multiple highlighted parts 63, highlighted parts 63 for which the user's reaction satisfies a specific condition. For example, the extraction unit 34 extracts, as a specific part, from among the multiple highlighted parts 63, highlighted parts 63 for which the number of favorable evaluations as the user's reaction satisfies a specific numerical condition. This allows the extraction unit 34 to extract, for example, highlighted parts 63 with high evaluations as specific parts.

The specific numerical condition is, for example, the number of favorable reviews being equal to or greater than a threshold, the percentage of the number of favorable reviews being equal to or greater than a threshold, etc. The percentage of the number of favorable reviews is the ratio of the number of favorable reviews to the total number of reviews for the content 60.

The extraction unit 34 can also extract, as a specific part, an emphasized part 63 for which the number of unfavorable evaluations as a user response satisfies a specific numerical condition from among the multiple emphasized parts 63. This allows the extraction unit 34 to extract, for example, an emphasized part 63 with a low evaluation as a specific part.

The specific numerical condition is, for example, the number of unfavorable ratings being equal to or greater than a threshold, the proportion of the number of unfavorable ratings being equal to or greater than a threshold, etc. The proportion of the number of unfavorable ratings is the ratio of the number of unfavorable ratings to the total number of ratings in the content 60.

The number of favorable ratings is, for example, the number of users who have given favorable ratings, and the number of unfavorable ratings is, for example, the number of users who have given unfavorable ratings. Users who have given favorable ratings are, for example, users who have pressed the rating button indicating approval or users who have input favorable comments. Users who have given unfavorable ratings are, for example, users who have pressed the rating button indicating disapproval or users who have input unfavorable comments. The extraction unit 34 determines whether a comment is favorable or unfavorable based on, for example, the number of favorable words or the number of unfavorable words contained in the comment.

The above-mentioned methods of extracting specific parts by the extraction unit 34 can be appropriately combined. For example, the extraction unit 34 can extract, as the highlighted parts, the highlighted parts 63 in which the highlighted user is a specific user out of the multiple highlighted parts 63, and the highlighted parts 63 in which the user's reaction satisfies a specific condition out of the multiple highlighted parts 63.

The placement unit 35 places a link in the content 60 that transitions to the specific portion extracted by the extraction unit 34. The link placed in the content 60 is, for example, a link that scrolls an area of the content 60 displayed on the display unit of the user terminal 50 to display the specific portion in a specific area (e.g., a central area) in the display area of the display unit of the user terminal 50, and includes, for example, link text information and link information that is information on the link destination (e.g., information indicating a position within the content).

Furthermore, when there are multiple specific parts extracted by the extraction unit 34, the placement unit 35 places multiple links in the content 60, each of which transitions to a corresponding specific part among the multiple specific parts. The placement unit 35 can place these multiple links, for example, in a position higher than the main text of the content 60 (for example, in an upper position) or in a position next to the main text of the content 60.

The placement unit 35 can extract characteristic words or phrases from the specific portion and set the extracted words or phrases as link text in the content 60. The placement unit 35 can, for example, calculate the TF-IDF value of a word or phrase included in the text of the specific portion of the content 60 and extract characteristic words or phrases based on the TF-IDF value.

The placement unit 35 can also summarize a specific portion and set the summarized content as link text in the content 60. For example, the placement unit 35 has a summary model that inputs text, summarizes the input text, and outputs the main points of the input text. By inputting a specific portion of text into the summary model, the placement unit 35 can obtain a summary of the specific portion of text from the summary model.

The summary model is an extraction model or an abstraction model. As such a summary model, for example, a known machine learning model such as Seq2Seq can be used, but is not limited to such examples.

The placement unit 35 places links in the content that transition to the specific parts extracted by the extraction unit 34, for example, so that the closer the specific parts are to the beginning of the sentence in the content 60, the higher the position of the specific parts. This allows the user to grasp, for example, an overview of the flow of the content 60 by sequentially checking the link text of multiple links placed in the content 60.

The placement unit 35 also places links in the content that transition to specific parts extracted by the extraction unit 34, for example, so that specific parts that satisfy a specific condition to a greater extent are ranked higher. This allows the user to check the link text of multiple links placed in the content 60 in order of estimated importance.

For example, the placement unit 35 can increase the degree to which a particular condition is satisfied the greater the number of favorable evaluations, or can increase the degree to which a particular condition is satisfied the greater the number of unfavorable evaluations. In addition, the placement unit 35 can increase the weighting when the highlighted user is a specific user compared to when the highlighted user is other than a specific user, and can increase the weighting the greater the degree to which the user's response satisfies a particular condition.

When the reception unit 32 receives a request to view the content 60 from the user terminal 50, the provision unit 36 provides the linked content, which is the content 60 with a link placed and highlighted by the placement unit 35, to the user of the user terminal 50. The provision unit 36 provides the linked content to the user of the user terminal 50 by transmitting the linked content to the user terminal 50.

The providing unit 36 provides information based on the user responses received by the receiving unit 32. For example, the providing unit 36 provides information on the number of users who pressed the rating button. This makes it easy to know the number of other users who agree or disagree with a part of the highlighted content 60.

The providing unit 36 may also provide a list of the entered comments, a summary of the comments, analysis results of the comments (such as trends in the comments), etc. By providing such information about the comments, it is possible to easily understand the opinions of other users regarding the part of the highlighted content 60.

The providing unit 36 may also provide information (such as attribute information) about the users who responded. This makes it easy to understand what attributes the users who responded have.

The providing unit 36 may also include the functionality of the distribution unit 31. In this case, the providing unit 36 distributes the content 60, a portion of which is highlighted by the display control unit 33.

The providing unit 36 may also provide information about the user who specified the highlighting (such as attribute information and the number of users who specified the highlighting) together with the highlighted content 60. This allows a user to whom the highlighted content 60 has been delivered to easily grasp information about the user who specified the highlighting.

The providing unit 36 displays (provides) the various types of information described above, for example, when the user selects a highlighted portion of the content 60 or moves the cursor to that portion of the content 60.

The providing unit 36 may also provide a ranking according to the number of users who pressed the rating button to indicate approval. Such a ranking may be displayed, for example, on a timeline in a service such as news together with access information (e.g., URL) to the content 60. This makes it easy to know which content 60 has a large (or small) number of approvals or disapprovals from other users.

The providing unit 36 may also provide by highlighting comments that have received high ratings (amount of approval equal to or greater than a threshold) for the input comment. This makes it easy to grasp the main opinions of other users regarding the highlighted portion of the content 60.

The providing unit 36 may also provide the input comment to other services (e.g., SNS, etc.). This allows the comment on the highlighted part of the content 60 to be shared in other services.

Next, the procedure of the information processing executed by the information processing device 1 according to the embodiment will be described with reference to FIG. 9. FIG. 9 is a flowchart showing the procedure of the information processing executed by the information processing device 1 according to the embodiment.

As shown in FIG. 9, the control unit 3 distributes the content 60 to the user terminal 50 (step S101). Next, the control unit 3 accepts a designation to highlight a part of the distributed content 60 (step S102).

Next, the control unit 3 highlights the part of the content 60 for which highlighting has been specified by a user similar to the viewing user (step S103), and receives the user's reaction to the highlighted part of the content 60 (step S104). The control unit 3 then provides information based on the received user reaction (step S105).

Then, the control unit 3 extracts, as a specific part, an emphasis part 63 that satisfies a specific condition from among the multiple emphasis parts 63 (step S106), and places a link in the content 60 that transitions to the extracted specific part (step S107). The control unit 3 then provides linked content, which is the content 60 in which the link was placed in step S107 (step S108), and ends the process.

〔others〕
In addition, among the processes described in the above embodiments, some of the processes described as being performed automatically can be performed manually. Alternatively, all or some of the processes described as being performed manually can be performed automatically using a known method. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

For example, a part or all of the memory unit 4 shown in FIG. 4 may be stored in a storage server or the like, rather than being stored in each device. In this case, each device obtains various pieces of information by accessing the storage server.

[Hardware configuration]
The information processing device 1 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in Fig. 10, for example. Fig. 10 is a diagram showing an example of a hardware configuration of the information processing device 1 according to the embodiment. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected by a bus 1090.

The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The primary storage device 1040 is a memory device, such as a RAM, that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), a HDD (Hard Disk Drive), a flash memory, or the like.

The output IF 1060 is an interface for transmitting information to be output to an output device 1010 such as a monitor or printer, which outputs various types of information, and is realized, for example, by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (registered trademark) (High Definition Multimedia Interface). The input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, scanner, etc., and is realized, for example, by a USB.

The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a 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. The input device 1020 may also be an external storage medium such as a USB memory.

The network IF 1080 receives data from other devices via the network N and sends it to the computing device 1030, and also transmits data generated by the computing device 1030 to other devices via the network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the information processing device 1, the arithmetic unit 1030 of the computer 1000 realizes the functions of the control unit 3 by executing a program loaded onto the primary storage device 1040.

〔effect〕
As described above, the information processing device 1 according to the embodiment includes the extraction unit 34, the arrangement unit 35, and the provision unit 36. The extraction unit 34 extracts a part that satisfies a specific condition from among a plurality of parts of the content 60 designated for highlighting by a plurality of users as a specific part. The arrangement unit 35 arranges a link in the content 60 that transitions to the specific part extracted by the extraction unit 34. The provision unit 36 provides the content 60 in which the link is arranged by the arrangement unit 35. This allows the information processing device 1 to quickly and easily check, for example, the highlighted part 63 in the content 60 that is likely to interest the user, and to provide the content 60 with higher convenience.

The extraction unit 34 also extracts, as a specific part, a part for which the number of users who have specified highlighting satisfies a specific condition from among the multiple parts. This allows the information processing device 1 to extract, for example, a highlighted part 63 that is likely to be of interest to users as a specific part.

The extraction unit 34 also extracts, as a specific part, a part that is specified by a specific user among the multiple parts. This allows the information processing device 1 to extract, for example, the highlighted part 63 that is likely to be of interest to the user as a specific part.

The extraction unit 34 also extracts, from among the multiple parts, parts that have been specified for highlighting by a user who has attributes similar to the attributes of the user to whom the content 60 is to be provided, as specific parts. This allows the information processing device 1 to extract, as specific parts, highlighted parts 63 that are likely to interest the user for each user attribute.

The link is a link that scrolls the area of the content 60 displayed on the display unit to display a specific portion in a specific area of the display unit's display area. This allows, for example, a highlighted portion 63 of the content 60 that is likely to interest the user to be quickly and easily confirmed, making it possible to provide a more convenient content 60.

In addition, when there are multiple specific parts extracted by the extraction unit 34, the placement unit 35 places multiple links in the content 60 that transition to corresponding specific parts among the multiple specific parts. This allows, for example, a highlighted part 63 in the content 60 that is likely to interest the user to be quickly and easily confirmed, making it possible to provide a more convenient content 60.

The extraction unit 34 also extracts specific parts for each attribute of the user who specified the highlighting, and the placement unit 35 places links for each attribute in the content 60. This allows, for example, the highlighted parts 63 in the content 60 that are likely to interest the user to be quickly and easily identified, making it possible to provide the content 60 with greater convenience.

Although some of the embodiments of the present application have been described in detail above with reference to the drawings, these are merely examples, and the present invention can be embodied in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the forms described in the disclosure section of the invention.

The above-mentioned "section, module, unit" can be read as "means" or "circuit." For example, the control unit 3 can be read as control means or control circuit.

REFERENCE SIGNS LIST 1 Information processing device 2 Communication unit 3 Control unit 4 Storage unit 31 Distribution unit 32 Reception unit 33 Display control unit 34 Extraction unit 35 Placement unit 36 Provision unit 41 User information 42 Highlighted display information 50, 50a, 50b, 50c User terminal 60 Content 61 Image 62 Text 63, 63a, 63b Highlighted portion N Network S Information processing system

Claims (9)

an extracting unit that extracts a portion that satisfies a specific condition from a plurality of portions of the content designated for highlighting by a plurality of users as a specific portion;
a placement unit that places, in the content, a link that transitions to the specific portion extracted by the extraction unit;
a provision unit that provides the content in which the link is arranged by the arrangement unit,
The extraction unit is
extracting, as the specific portion, a portion in which a ratio of users other than the user who specified the highlighting that have given favorable evaluations of the highlighting is equal to or greater than a threshold value;
The placement unit is
an information processing apparatus that arranges, within the content, the link including, as link text, one of a word extracted from the specific portion and a content summarizing the specific portion. The extraction unit is
The information processing apparatus according to claim 1 , wherein a part for which the number of users who have specified the highlighting satisfies the specific condition is extracted as the specific part from among the plurality of parts. The extraction unit is
The information processing apparatus according to claim 1 , further comprising: extracting, from among the plurality of portions, a portion designated by a specific user as the specific portion. The extraction unit is
The information processing apparatus according to claim 1 , wherein, from among the plurality of portions, a portion designated for highlighting by a user having attributes similar to those of a user to whom the content is to be provided is extracted as the specific portion. The link is:
5. The information processing device according to claim 1, wherein the link is a link for scrolling an area of the content displayed on a display unit to display the specific portion in a specific area of the display unit. The placement unit is
The information processing device according to any one of claims 1 to 4, characterized in that when there are multiple specific parts extracted by the extraction unit, multiple links each of which transitions to a corresponding specific part among the multiple specific parts are placed within the content. The extraction unit is
extracting the specific portion for each attribute of the user who specified the highlighting;
The placement unit is
The information processing apparatus according to claim 6 , wherein the link for each of the attributes is arranged within the content. 1. A computer-implemented information processing method, comprising:
an extraction step of extracting, as a specific portion, a portion that satisfies a specific condition from a plurality of portions of the content designated for highlighting by a plurality of users;
a placement step of placing a link leading to the specific portion extracted by the extraction step in the content;
a providing step of providing the content in which the link has been arranged by the arranging step,
The extraction step comprises:
extracting, as the specific portion, a portion in which a ratio of users other than the user who specified the highlighting that have given favorable evaluations of the highlighting is equal to or greater than a threshold value;
The placing step includes:
an information processing method comprising: arranging, within the content, the link, the link including, as link text, one of a word extracted from the specific portion and a content summarizing the specific portion. an extraction step of extracting a portion that satisfies a specific condition from a plurality of portions of the content designated for highlighting by a plurality of users as a specific portion;
a placement step of placing a link leading to the specific part extracted by the extraction step in the content;
a provision step of providing the content in which the link is arranged by the arrangement step;
The extraction procedure comprises:
extracting, as the specific portion, a portion in which a ratio of users other than the user who specified the highlighting that have given favorable evaluations of the highlighting is equal to or greater than a threshold value;
The placement procedure includes:
an information processing program for processing information on a content that includes, as link text, one of a word extracted from the specific portion and a content summarizing the specific portion, and the link is disposed within the content;

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