JP2019191659A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To provide an information processing device which can select a good comment from among a plurality of comments.SOLUTION: An information processing device in a control unit 13 of an information processing server 10 comprises: an acquisition unit 131 which acquires evaluation information on each of a plurality of comments for first contents; an update unit 132 which updates the evaluation information stored in a storage unit 12; a determination unit 133 which determines the maliciousness of each of the plurality of comments; a selection unit 134 which selects a prescribed number of comments disposed for prescribed contents, from among the plurality of comments, on the basis of the evaluation information and the number of browsing times of each of the plurality of comments; a generation unit 135 which generates prescribed contents including the prescribed number of comments selected by the selection unit 134; and a transmission unit 136 which transmits the prescribed contents to a terminal device.SELECTED DRAWING: Figure 6

Description

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

  Services using the network are active. In recent years, on an EC (Electronic Commerce) site or a portal site, a user can post a comment on a predetermined target (for example, a product or an article).

JP 2013-205875 A

  There is content that collects a lot of comments (for example, articles about incidents that are attracting attention). When distributing such content to a user, an information processing apparatus (for example, a server that distributes articles) selects some comments from many comments and presents them to the user. In this case, it is desirable that the information processing apparatus selects a high-quality comment as a comment to be presented to the user. However, it is not easy to select a good comment from a plurality of comments.

  The present application has been made in view of the above, and an object thereof is to enable selection of a high-quality comment from a plurality of comments.

  The information processing apparatus according to the present application is configured to acquire a predetermined number of comments from a plurality of comments based on an acquisition unit that acquires evaluation information of each of the plurality of comments for the first content, and the evaluation information and the number of times each of the plurality of comments is viewed. A selection unit that selects a predetermined number of comments to be arranged in the content.

  According to one aspect of the embodiment, a high-quality comment can be selected from a plurality of comments.

FIG. 1 is a diagram illustrating an operation of the information processing system according to the embodiment. FIG. 2 is a diagram illustrating a state in which content is displayed on the terminal device according to the embodiment. FIG. 3 is a diagram illustrating an example of information stored in the comment information database. FIG. 4 is a diagram illustrating an example of information stored in the score information database. FIG. 5 is a diagram illustrating a state in which the selected comment is displayed on the terminal device. FIG. 6 is a diagram illustrating a configuration example of the information processing server according to the embodiment. FIG. 7 is a diagram illustrating a configuration example of the terminal device according to the embodiment. FIG. 8 is a flowchart illustrating an example of the information transmission process. FIG. 9 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the information processing server.

  Hereinafter, an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited to the following embodiments. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

[1. Operation of information processing device]
First, the operation of the information processing apparatus will be described using the information processing system 1 including the information processing server 10 as an example of the information processing apparatus as an example.

[1-1. Information processing system)
FIG. 1 is a diagram illustrating an operation of the information processing system 1 according to the embodiment. The information processing system 1 includes an information processing server 10 and terminal devices 100 _{1 to} 100 ₂ . Terminal device 100 ₁ is a terminal device that the user U1 is operating, the terminal device 100 ₂ is a terminal device that the user U2 is operated. In the example of FIG. 1, only two terminal devices are shown, but the number of terminal devices may be less than two or more than two. In the following description, the terminal devices 100 _{1 to} 100 ₂ may be collectively referred to as the terminal device 100.

  The information processing server 10 is a server host computer that provides various services to client terminals. The information processing server 10 distributes content to the terminal device 100. For example, the information processing server 10 is a portal site, game information distribution site, news site, auction site, weather forecast site, shopping site, finance (stock price) site, route search site, map providing site, travel site, restaurant introduction site. In addition, content in which information related to a bulletin board site, a web blog, and the like is arranged in a tile shape is distributed to the terminal device 100.

  The terminal device 100 is a smart device such as a smartphone or a tablet, and is a mobile terminal device that can communicate with an arbitrary server device via a wireless communication network such as 3G (3rd Generation) or LTE (Long Term Evolution). is there. The terminal device 100 may be an information processing device such as a desktop PC (Personal Computer) or a notebook PC as well as a smart device.

[1-2. Operation of information processing system)
Hereinafter, the operation of the information processing system 1 will be described.

First, the information processing server 10 receives a content distribution request from the terminal device 100 (the terminal device 100 1 in the example of FIG. ₁ ). When the content distribution request is received, the information processing server 10 distributes the content to the terminal device 100 that has made the content distribution request.

  FIG. 2 is a diagram illustrating a state in which content is displayed on the terminal device 100 according to the embodiment. In the example of the state D11 in FIG. 2, a content C11 in which a plurality of contents are arranged is displayed on a display device (hereinafter also referred to as a screen) provided in the terminal device 100. The content C11 is information on an arrangement surface in which a plurality of contents such as images (for example, still images and moving images) and text information (for example, news articles) are arranged in a tile shape. For example, the content C11 is screen information displayed on an application installed in the terminal device 100 (hereinafter referred to as an application). The content C11 may be generated based on data (for example, content data such as map data) installed in advance in a storage device included in the terminal device 100. The content C11 may be page information (for example, web page information).

  In the present embodiment, the content C11 is a page of an EC site or a portal site, and includes content C21 (first content) that includes information that the page is a transmission target. The content C21 is product information or articles, for example. In the example of the state D11 in FIG. 2, the content C21 is a news article. A comment can be posted on the content C21, and a plurality of comments are posted. The content C11 displays a predetermined number of comments selected from a plurality of comments. In the example of the state D11 in FIG. 2, the content C11 displays three comments T11, T12, and T13 for the content C21.

  The tile for displaying each comment is attached with the number of replies to the comment and evaluation information for the comment. For example, reply information R11 and evaluation information E11 are attached to the tile displaying the comment T11. The reply information R11 indicates the number of replies to the comment T11. In the example of the state D11 of FIG. 2, “Reply: 51” is displayed as the reply information R11. This example shows that 51 replies have been made to the comment T11. In the example of the state D11 in FIG. 2, as the evaluation information E11, an image indicating a positive evaluation (an image of a hand with a thumb up), an image indicating a negative evaluation (an image of a hand with a thumb up) ), “121”, and “8” are displayed. This example shows that 121 positive evaluations and 8 negative evaluations were made for the comment T11.

  Moreover, reply information R12 and evaluation information E12 are attached to the tile for displaying the comment T12. The reply information R12 indicates the number of replies made to the comment T12. In the example of the state D11 in FIG. 2, “Reply: 43” is displayed as the reply information R12. This example shows that 43 replies have been made to the comment T12. In the example of the state D11 in FIG. 2, an image indicating a positive evaluation, an image indicating a negative evaluation, “110”, and “10” are displayed as the evaluation information E12. This example shows that 110 positive evaluations and 10 negative evaluations were made for the comment T12.

  Moreover, reply information R13 and evaluation information E13 are attached to the tile for displaying the comment T13. The reply information R13 indicates the number of replies to the comment T13. In the example of the state D11 in FIG. 2, “Reply: 36” is displayed as the reply information R13. This example shows that 36 replies have been made to the comment T13. In the example of the state D11 in FIG. 2, an image indicating a positive evaluation, an image indicating a negative evaluation, “103”, and “12” are displayed as the evaluation information E13. This example shows that 103 positive evaluations and 12 negative evaluations were made for the comment T13.

  The content C11 is provided with buttons (operation means) for displaying comments other than the predetermined number of comments displayed together with the content C21. In the example of the state D11 in FIG. 2, a button B22 for displaying all comments on the content C21 is disposed as the operation means. When the user presses the button B22, the terminal device 100 requests the information processing server 10 to distribute all comments for the content C21. When the information processing server 10 receives the distribution request, the information processing server 10 distributes content including all comments for the content C21 (or content for displaying all the comments by a specified number (for example, ten)).

  The content C11 displays a button B21 for displaying content for posting a comment on the content C21 (first content). When the user presses the button B21, the terminal device 100 requests the information processing server 10 to distribute content for posting a comment on the content C21. In the following description, content (for example, an application screen or page) for posting a comment on first content (for example, an article) is referred to as comment posting content. When the information processing server 10 receives the distribution request, the information processing server 10 distributes the content C12 that is the comment posting content for the content C21. Upon receiving the distribution of the content C12, the terminal device 100 displays the content C12 on the screen as shown in the state D12 of FIG.

  The content C12 includes a text box TB1 for inputting a comment. The content C12 includes a button B1 for posting a comment input in the text box TB1 to a predetermined site. When the user presses the button B1, the terminal device 100 transmits the comment input in the text box TB1 to the information processing server 10 (step S1 in FIG. 1). At this time, the terminal device 100 may transmit the comment to the information processing server 10 together with the identification information of the content to be commented. In the example of FIG. 1, the content C21 is the content to be commented (first content). When the information processing server 10 receives the comment, the information processing server 10 registers the received comment in the comment information database.

  The comment information database stores information about comments made on content (eg, news articles) such as first content. FIG. 3 is a diagram illustrating an example of information stored in the comment information database. In the comment information database, information having items such as “content”, “comment”, “evaluation information”, and “view count” is registered.

  “Content” indicates content distributed to the terminal device 100. For example, “content” indicates content (for example, a news article) submitted by a content partner or the like. In the example shown in FIG. 3, conceptual information such as “C21”, “C22”, and “C23” is stored in “content”, but audio data, image data, text data, game data, game data, Content data itself such as format advertisement data may be stored. The “content” may store a URL where data of each content is located, a file path name indicating the storage location thereof, or the like.

  “Comment” indicates a comment of each user with respect to the content (for example, news article) indicated by “content”. In the example shown in FIG. 3, conceptual information such as “T11” to “T18”, “T21”, and “T31” is stored in “comment”, but text data, image data, audio data, and the like are stored. The comment data itself may be stored. The “comment” may store a URL where data of each comment is located, a file path name indicating the storage location thereof, or the like.

  “Evaluation information” indicates an evaluation from another user with respect to the comment indicated by “comment”. The information processing server 10 updates the evaluation information based on the reaction information of the user with respect to one or a plurality of comments among the predetermined number of comments. The reaction information is, for example, information that a button such as Good / Bad displayed on the terminal device 100 has been pressed, or a reply made by the user to a comment. The reaction information is not limited to the above. For example, the reaction information may be information on evaluation of a comment by the number of stars, or information on evaluation of a comment by a numerical value such as “1”, “2”, or “3”. Further, the reaction information may be information for evaluating a comment based on ranks such as “A”, “B”, and “C”.

  In the “evaluation information”, information having items such as “Good”, “Bad”, and “number of replies” is registered. “Good” and “Bad” indicate the number of evaluations performed by other users on the comment. “Good” indicates the number of positive evaluations for comments, and “Bad” indicates the number of negative evaluations for comments. In the example of FIG. 3, it can be seen that 121 positive evaluations and 8 negative evaluations were made for the comment T11. “Reply number” indicates the number of replies to the comment indicated by “comment”. In the example of FIG. 3, it can be seen that 51 replies were made to the comment T11.

  The information processing server 10 counts “Good”, “Bad”, and “Number of replies”. For example, in the example of the state D11 in FIG. 2, it is assumed that the user presses the Good button in the tile of the comment T11. At this time, the information processing server 10 adds 1 to Good of the comment T11. Also, assume that the user presses the Bad button in the tile of the comment T11. At this time, the information processing server 10 adds 1 to Bad of the comment T11. Further, it is assumed that the user has tapped a reply link in the tile of the comment T11 and posted a reply comment to the comment T11. At this time, the information processing server 10 adds 1 to the number of replies of the comment T11.

  “Number of browsing” indicates the number of times the comment indicated by “comment” is browsed by the user. The number of times of browsing is, for example, the number of times that the corresponding comment is displayed on the terminal device 100. In the example of FIG. 3, the comment T11 is viewed 256 times by a plurality of users. The information processing server 10 counts the number of browsing times. For example, it is assumed that the information processing server 10 transmits the content C11 shown in the state D11 in FIG. 2 to one of the plurality of terminal devices 100. At this time, the information processing server 10 adds (increments) 1 to each of the three browsing counts of the comments T11, T12, and T13.

  Note that the timing at which the information processing server 10 updates the number of times of browsing is not limited to the timing at which the terminal device 100 displays the corresponding comment on the screen. For example, the timing at which the information processing server 10 updates the browsing count may be a timing at which the user performs a predetermined operation related to the corresponding comment after the terminal device 100 displays the corresponding comment on the screen. For example, in the example of the state D11 in FIG. 2, an operation means (for example, shown in the state D11 in FIG. 2) for displaying comments other than a predetermined number of comments (comments T11, T12, T13) displayed on the screen by the user. Assume that button B22) is pressed. In this case, the information processing server 10 increments the number of viewing times of the comments T11, T12, and T13 on the assumption that the user has read a predetermined number of comments.

  Subsequently, the information processing server 10 receives a distribution request for predetermined content including the first content from the terminal device 100 (step S2 in FIG. 1). In the following description, predetermined content including the first content (for example, content C21) may be referred to as “distribution content”. In the following description, the predetermined number of comments arranged in the distribution content may be referred to as “distribution comments”. In the following description, it is assumed that a distribution request is received from the terminal device 100 operated by the user U2. When the information processing server 10 receives a distribution content distribution request, the information processing server 10 calculates scores of each of the plurality of comments for the first content and registers them in the score information database (step S3).

  The score information database stores scores and the like of each of a plurality of comments. FIG. 4 is a diagram illustrating an example of information stored in the score information database. Information having items such as “content”, “comment”, “rank”, “hate degree”, “spam degree”, and “score” is registered in the score information database.

  “Rank” indicates the “rank” of the comment indicated by “comment”. The “order” may be determined by the information processing server 10 based on the evaluation information of the corresponding comment. For example, the information processing server 10 sets a comment having a high evaluation as a high rank. For example, the information processing server 10 ranks a comment higher in a positive evaluation (for example, Good) or a larger number of replies.

  “Hate degree” and “spam degree” are malicious degrees of comments indicated by “comments”. The malicious degree is a value indicating a high possibility that the comment is a malicious comment. “Hate degree” indicates the high possibility that the comment indicated by “comment” is hate, and “Spam degree” indicates the high possibility that the comment indicated by “comment” is spam. The information processing server 10 can calculate the hate degree and the spam degree using various known methods. For example, the information processing server 10 may calculate the hate degree or the spam degree based on how many words frequently used in hate or spam are included in the comment.

  “Score” is a value used to determine whether or not to select a comment indicated by “comment” as a comment for distribution. Specifically, the “score” is a value used to determine whether or not to place a comment indicated by “comment” in the distribution content.

  The “score” is calculated by the information processing server 10. For example, the score is calculated based on the evaluation information shown in FIG. At this time, the information processing server 10 may set a higher score for a comment having a larger number of Goods or replies. Then, the information processing server 10 may select a predetermined number of comments as distribution comments in descending order of comments (for example, Good or comments with a large number of replies). For example, it is assumed that distribution of content including the content C21 is requested by the user in step S2. Assume that the information processing server 10 has the comment information database shown in FIG. At this time, the information processing server 10 selects the comments T11, T12, and T13 as distribution comments.

  Even if comments are selected in descending order of evaluation, good comments are not always selected. For example, a comment with a large number of browsing times is likely to be highly rated because it has received many evaluations, while a comment with a small number of browsing times is not highly evaluated because it has not received much evaluation. However, there is no guarantee that there are no truly good comments among comments with a low browsing frequency.

  This will be specifically described with reference to the example of FIG. In the example of FIG. 3, the comment T11 has been viewed by the user 256 times so far, and has received 121 Good ratings. On the other hand, since the comment T18 has not been browsed once, of course, no evaluation of Good has been received. Assume that the information processing server 10 is configured to select three comments as distribution comments in descending order of Good. At this time, even if the comment T18 is a good-quality comment, it is not selected as three comments for distribution. That is, when comments are selected in descending order of rating, comments that are posted early and get a high rating early get an opportunity to receive many ratings (that is, an opportunity to be viewed by the user) and get higher On the other hand, a comment posted late is maintained at a low evaluation because there are few opportunities to obtain the evaluation (opportunities viewed by the user) even if it is a good comment. As a result, the information processing server 10 cannot select a good comment even though there is a truly good comment among a plurality of comments. As a result, the user misses the opportunity to see the good comments.

  Therefore, the information processing server 10 uses not only evaluation information such as Good but also the number of times the comment is viewed in calculating the score so that a high-quality comment buried in a plurality of comments can be selected. Specifically, the information processing server 10 calculates a score for each of a plurality of comments so that a comment with a small number of browsing times has a high score. Then, the information processing server 10 selects a predetermined number of comments as distribution comments in descending order of score. As a result, since the user can get an opportunity to view a comment with a small number of browsing (that is, an opportunity to obtain an evaluation), even a comment with a small number of browsing is highly rated if it is a good quality comment. Obtainable. As a result, the information processing server 10 can select a truly high quality comment as a distribution comment. Hereinafter, the score calculation method of the information processing server 10 will be specifically described.

  First, the information processing server 10 acquires evaluation information for each of a plurality of comments for the first content (for example, the content C21) from the comment information database illustrated in FIG. Furthermore, the information processing server 10 acquires information on the number of browsing times of each of the plurality of comments for the first content from the comment information database illustrated in FIG. 3. Then, the information processing server 10 calculates a score for each of the plurality of comments based on the evaluation information and the number of browsing times. Various methods can be used to calculate the score. For example, the information processing server 10 can calculate a score using a multi-armed bandit algorithm in which evaluations from users such as the number of Goods and the number of replies are regarded as expected rewards. For example, the information processing server 10 calculates a score using the following formula (1).

Here, V _i is the score of the comments indicated by i. i is identification information of a comment. For example, if the information processing server 10 calculates the score of the comment T11, i is, for example, “T11”.

Also, r _i is an expected reward as used in the multi-arm bandit algorithm, and in this embodiment, is a value (first value) indicating the height of the display value (comment quality) of the comment indicated by i. In this embodiment, it is estimated that the higher the evaluation from the user, the higher the display value (quality) of the comment. In this embodiment, the value based on the evaluation by the user for the comment indicated by _{i is} assumed to be r _i . As an example, r _i is the number of positive evaluations obtained by the comment indicated by i (for example, the number of Goods). If comments than comments T11 shown in FIG. 3 shown by i, _{r i} is, for example, 121.

Note that r _i is not necessarily the number of positive evaluations. For example, r _i may be a value calculated based on the number of positive evaluations for the comment indicated by i. For example, r _i is the number of positive evaluations (for example, the number of Goods) relative to the sum of the number of positive evaluations obtained by the comment indicated by i and the number of negative evaluations (for example, the number of Goods + the number of Bads). ). For example, if the comment indicated by i is the comment T11 shown in FIG. 3, r _i is 0.938 (= 121 / (121 + 8)). Of course, r _i is not limited to the above. For example, r _i may be a value obtained by subtracting the number of Bad from the number of Good. In addition, r _i may be a value obtained by multiplying the above value by a constant.

Moreover, r _i does not necessarily have to be a value calculated based on the number of positive evaluations. For example, it may be a value based on the number of replies to comments indicated by i. If comments than comments T11 shown in FIG. 3 shown by i, _{r i} is, for example, 51. Note that r _i is not necessarily the number of replies. For example, r _i may be a value obtained by adding the number of replies and the number of positive evaluations with a predetermined weight. Of course, r _i may be a value obtained by multiplying a further constant to the above values.

N _i is the number of times the comment indicated by _i has been viewed so far. If comments than comments T11 shown in FIG. 3 shown by i, _{n i} is, for example, 256. N is the total number of browsing times of all comments made on the content to be distributed (first content). For example, if the first content is the content C21 shown in FIG. 3, it is the total number of browsing times (= 256 + 252 + 251 + 52 +...) Of all comments (comments T11 to T18, etc.) made on the content C21. C is a constant indicating the influence of the value of “√ (2log (n) / n _i )” in the equation (1) on the score. The larger the value of C, the greater the influence of the value of “√ (2log (n) / n _i )” on the score. The value of C may be 1 or a value other than 1. Note that the second term (C × √ (2log (n) / n _i )) on the right side of Equation (1) is a value based on the reciprocal of the number of browsing times, and becomes a larger value as the number of browsing times decreases. In the case of Expression (1), “1 / n _i ” included in the second term on the right side is a value (second value) indicating the uncertainty of the first value (for example, r _i ) due to the small number of comments viewed. Value).

When calculating the score using Equation (1), the score V _i Since the first value higher evaluation from the user is increased becomes a large value. Further, since the second value increases as the number of comments viewed decreases, the score V _i also increases. Viewed 0 times of the comments, because the score V _i becomes very large, as well as already comment that has gained high evaluation even if it were present in the other, likely to be selected as the distribution for comment. A comment for which a positive evaluation cannot be obtained from the user gradually decreases in score V _{i as the} number of browsing increases, and finally becomes difficult to be selected as a distribution comment. On the other hand, a high-quality comment that can obtain many positive evaluations from the user has a score V because the first value gradually increases although the second value gradually decreases as the number of browsing increases. _i is maintained at a large value. As a result, high-quality comments are easily selected as distribution comments.

  When the calculation of each score of the plurality of comments for the first content is completed, the information processing server 10 registers the calculated score in the score information database.

  Subsequently, the information processing server 10 determines the plurality of comments based on the evaluation information for each of the plurality of comments for the first content (for example, the content C21) and the number of times each of the plurality of comments for the first content is viewed. A predetermined number of comments to be arranged in the distribution content are selected from among them. For example, the information processing server 10 selects a predetermined number of comments as distribution comments in descending order of score from a plurality of comments for the first content (step S4 in FIG. 1). In the example of FIG. 1, the information processing server 10 distributes three comments (comments T14, T16, and T18) from the plurality of comments (comments T11 to T18) illustrated in FIG. Have selected as.

  Note that the information processing server 10 uses a malicious degree (for example, hate degree and / or spam degree) in addition to the evaluation information and the number of browsing times, and uses a predetermined number of comments to be arranged in predetermined content from among a plurality of comments. May be selected. For example, the information processing server 10 excludes comments having a malicious degree of a certain value or more from a plurality of comments. Then, the information processing server 10 selects a predetermined number of comments in descending order of score from a plurality of comments from which comments having a malicious degree of a certain value or more are excluded.

  The selection of the distribution comment based on the malicious degree is not limited to the above. For example, the information processing server 10 adds a third term indicating a low degree of maliciousness to the right side of the above equation (1). The third term to be added is, for example, the reciprocal of the malicious degree (for example, the reciprocal of the hate degree or the reciprocal of the spam degree). Then, the information processing server 10 calculates the score of each of the plurality of comments using Expression (1) with the third term added. Then, the information processing server 10 selects a predetermined number of comments as distribution comments from the plurality of comments in descending order of score.

  Subsequently, the information processing server 10 generates predetermined content including the distribution comments selected in step S4 (in the example of FIG. 1, comments T14, T16, T18). Then, the information processing server 10 distributes the generated predetermined content to the terminal device 100 (step S5 in FIG. 1). FIG. 5 is a diagram illustrating a state where the selected comment is displayed on the terminal device 100. In the state D21 in FIG. 5, the terminal device 100 on which the content C13 in which a plurality of news article headlines are arranged is displayed. When the user taps the heading M1 displayed on the content C13, the information processing server 10 transmits the content C14 including the content C21 to the terminal device 100. A state D22 in FIG. 5 shows the terminal device 100 on which the content C14 is displayed. The content C14 includes a distribution comment H1 (comments T14, T16, T18) selected by the information processing server 10 based on the score.

  Note that the display order of comments is not necessarily the order of scores. For example, the display order of comments may be the order shown in FIG. In the example of the state D22 in FIG. 5, the three comments T14, T16, and T18 are arranged in the order of “rank” shown in FIG.

  According to the present embodiment, the information processing server 10 uses not only the evaluation information but also the comment browsing count for calculating the score so that a comment with a small browsing count can be selected as a distribution comment. The information processing server 10 selects a predetermined number of comments as distribution comments in descending order of score. Thereby, since it is possible to obtain an opportunity for the user to browse a comment with a small number of browsing times, even a comment with a small number of browsing times can be highly evaluated if it is a good quality comment. As a result, the information processing server 10 can select a high-quality comment as a distribution comment.

[2. Configuration example of information processing system]
The operation of the information processing system 1 of the present embodiment has been described above. Hereinafter, the configuration of the information processing system 1 including the information processing server 10 that is an example of the information processing apparatus of the present embodiment will be described. As described above, the information processing system 1 includes the terminal device 100 and the information processing server 10.

[2-1. Configuration example of information processing server]
The information processing server 10 is a server host computer (hereinafter simply referred to as “server”) that processes a request from a client computer such as the terminal device 100. The information processing server 10 may be a PC server, a mid-range server, or a mainframe server. Further, the information processing server 10 may be configured by a single server, or may be configured by a plurality of servers that cooperate to execute processing. When the information processing server 10 includes a plurality of servers, the installation locations of these servers may be separated. Even if the installation locations are separated, these servers can be regarded as one information processing apparatus (information processing server) as long as the processes are executed in cooperation.

  As described above, the information processing server 10 is connected to the terminal device 100 via the network. The network is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (a mobile phone network, a fixed telephone network, etc.), a regional IP (Internet Protocol) network, and the Internet. The network may include a wired network or a wireless network.

  FIG. 6 is a diagram illustrating a configuration example of the information processing server 10 according to the embodiment. The information processing server 10 includes a communication unit 11, a storage unit 12, and a control unit 13. Note that the configuration shown in FIG. 6 is a functional configuration, and the hardware configuration may be different.

  The communication unit 11 is a communication interface that communicates with an external device. The communication unit 11 may be a network interface or a device connection interface. For example, the communication unit 11 may be a LAN interface such as a NIC (Network Interface Card) or a USB interface configured by a USB (Universal Serial Bus) host controller, a USB port, or the like. The communication unit 11 may be a wired interface or a wireless interface. The communication unit 11 functions as a communication unit of the information processing server 10. The communication unit 11 communicates with the terminal device 100 according to the control of the control unit 13.

  The storage unit 12 is a storage device capable of reading and writing data, such as a dynamic random access memory (DRAM), a static random access memory (SRAM), a flash memory, and a hard disk. The storage unit 12 functions as a storage unit of the information processing server 10. The storage unit 12 stores a comment information database 121 and a score information database 122.

  In the comment information database 121, information of comments posted for each content is registered. The comment information database 121 is the same as the comment information database shown in FIG.

  Information regarding the score of each comment is registered in the score information database 122. The information stored in the score information database 122 is the same as the score information database shown in FIG.

  The control unit 13 is a controller, and for example, various programs stored in a storage device inside the information processing server 10 are stored in a RAM or the like by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). Is implemented as a work area. The control unit 13 is a controller, and may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

  As illustrated in FIG. 6, the control unit 13 includes an acquisition unit 131, an update unit 132, a determination unit 133, a selection unit 134, a generation unit 135, and a transmission unit 136. The blocks (acquisition unit 131 to transmission unit 136) that constitute the control unit 13 are functional blocks that indicate functions of the control unit 13, respectively. These functional blocks may be software blocks or hardware blocks. For example, each functional block described above may be one software module realized by software (including a microprogram), or may be one circuit block on a semiconductor chip (die). Of course, each functional block may be one processor or one integrated circuit. The method of configuring the functional block is arbitrary. In addition, the control part 13 may be comprised by the functional unit different from the above-mentioned functional block.

  The acquisition unit 131 acquires evaluation information for each of a plurality of comments for the first content. At this time, the acquisition unit 131 obtains evaluation information for similar comments similar to a predetermined comment made for the first content from comments made for the second content different from the first content. You may get it.

  Further, the acquisition unit 131 may acquire the number of positive evaluations attached to each of the plurality of comments as the evaluation information. At this time, the acquisition unit 131 may acquire, as evaluation information, the number of positive evaluations attached to each of the plurality of comments and the number of negative evaluations attached to each of the plurality of comments.

  The acquisition unit 131 may acquire the number of replies for each of the plurality of comments as the evaluation information. The acquisition unit 131 may acquire the number of evaluations attached to each of the plurality of comments as the evaluation information, and may acquire attribute information of the user who performed the evaluation. The acquisition unit 131 may acquire evaluation information for each of the plurality of comments from the storage unit 12.

  The update unit 132 updates the evaluation information stored in the storage unit 12. For example, the update unit 132 updates the evaluation information stored in the storage unit 12 based on user reaction information with respect to one or a plurality of comments in a predetermined number of comments.

  The predetermined content may be provided with an operation means for displaying a comment other than the predetermined number of comments. Further, the storage unit 12 may store information on the number of browsing times of each of a plurality of comments. And the update part 132 may update all the information of the browsing frequency of the predetermined number of comments arrange | positioned at predetermined content, when the operation means on predetermined content is operated.

  The determination unit 133 determines the malice level of each of the plurality of comments.

  The selection unit 134 selects a predetermined number of comments to be arranged in a predetermined content from the plurality of comments based on the evaluation information and the number of times each of the plurality of comments is viewed. At this time, the selection unit 134 may calculate the score of each of the plurality of comments based on the evaluation information and the number of browsing times, and may select a predetermined number of comments in descending order of the score. The selection unit 134 may calculate a score of a predetermined comment based on the evaluation information and the number of times of browsing of the predetermined comment and the evaluation information of the similar comment.

  In addition, the selection unit 134 is a value based on the evaluation information and indicating the high display value of the comment, and a second value indicating the low number of comments viewed, which is a value based on the number of times of browsing. A score based on the value may be calculated, and a predetermined number of comments may be selected in descending order of score. At this time, the selection unit 134 may calculate the score using the reciprocal of the number of browsing times as the second value. Further, the selection unit 134 may calculate the score using a value based on the number of positive evaluations as a first value. In addition, the selection unit 134 calculates a score using a value based on the number of positive evaluations and the number of negative evaluations as a first value. Further, the selection unit 134 may calculate the score using the value based on the number of replies as the first value.

  Further, the selection unit 134 may select a predetermined number of comments to be arranged in a predetermined content from a plurality of comments based on the evaluation information, the number of browsing times, and the malicious degree. Further, the selection unit 134 may select a predetermined number of comments to be arranged in a predetermined content from a plurality of comments based on the number of evaluations, the number of browsing times, and attribute information.

  The generation unit 135 generates predetermined content including the predetermined number of comments selected by the selection unit 134 (for example, content C14 illustrated in FIG. 5).

  The transmission unit 136 transmits predetermined content including the predetermined number of comments selected by the selection unit 134 to the terminal device 100.

[2-2. Example of terminal device configuration]
Next, the configuration of the terminal device 100 will be described. The terminal device 100 is an information display device used by a user for browsing content. The terminal device 100 is a communication terminal such as a smartphone, a tablet, or a mobile phone. If provided with a communication function, the terminal device 100 may be an information processing terminal such as a personal computer (notebook PC, desktop PC), PDA (Personal Digital Assistant) or the like. In this case, the information processing terminal is also a kind of communication terminal. The terminal device 100 is connected to the information processing server 10 via a network.

  FIG. 7 is a diagram illustrating a configuration example of the terminal device 100 according to the embodiment. The terminal device 100 includes a communication unit 110, an input unit 120, a storage unit 130, an output unit 140, and a control unit 150. Note that the configuration shown in FIG. 7 is a functional configuration, and the hardware configuration may be different.

  The communication unit 110 is a communication interface that communicates with an external device. The communication unit 110 may be a network interface or a device connection interface. For example, the communication unit 110 may be a LAN interface such as a NIC, or may be a USB interface configured by a USB host controller, a USB port, or the like. The communication unit 110 may be a wired interface or a wireless interface. The communication unit 110 functions as a communication unit of the terminal device 100. The communication unit 110 communicates with the information processing server 10 according to the control of the control unit 150.

  The input unit 120 is an input device that accepts various inputs from the outside. For example, the input unit 120 is an operation device for a user to perform various operations such as a keyboard, a mouse, and operation keys. The input unit 120 functions as an input unit of the terminal device 100. When a touch panel is adopted for the terminal device 100, the touch panel is also included in the input unit 120. In this case, the user performs various operations by touching the screen with a finger or a stylus.

  The storage unit 130 is a storage device capable of reading and writing data, such as a DRAM (Dynamic Random Access Memory), an SRAM (Static Random Access Memory), a flash memory, and a hard disk. The storage unit 130 functions as a storage unit of the terminal device 100. The storage unit 130 stores application data. The application data may be web browser data.

  The output unit 140 is a device that performs various outputs such as sound, light, vibration, and images. The output unit 140 functions as an output unit of the terminal device 100. The output unit 140 includes a display device that displays various types of information. The display device is, for example, a liquid crystal display or an organic EL (Electro Luminescence) display. When a touch panel is adopted for the terminal device 100, the display device (hereinafter referred to as a screen) may be integrated with the input unit 120. The output unit 140 displays an image on the screen under the control of the control unit 150.

  The control unit 150 is a controller, and is realized, for example, by executing various programs stored in a storage device in the terminal device 100 using a RAM or the like as a work area by a processor such as a CPU or MPU. The control unit 150 is a controller, and may be realized by an integrated circuit such as an ASIC or FPGA, for example.

  As illustrated in FIG. 7, the control unit 150 includes a display unit 151 and a display control unit 152. The blocks (the display unit 151 and the display control unit 152) constituting the control unit 150 are functional blocks that indicate functions of the control unit 150, respectively. These functional blocks may be software blocks or hardware blocks. For example, each functional block described above may be one software module realized by software (including a microprogram), or may be one circuit block on a semiconductor chip (die). Of course, each functional block may be one processor or one integrated circuit. The method of configuring the functional block is arbitrary. Note that the control unit 150 may be configured with functional units different from the above-described functional blocks.

  The display unit 151 displays predetermined content (for example, content C14 shown in FIG. 5) transmitted from the information processing server 10 on the screen.

  The display control unit 152 changes the display mode of the predetermined content displayed on the screen according to the control information transmitted from the information processing server 10.

[3. Processing flow of information processing server]
Next, a procedure of processing executed by the information processing server 10 will be described. FIG. 8 is a flowchart illustrating an example of the information transmission process.

  First, the information processing server 10 determines whether a distribution request for predetermined content including the first content (for example, content C12 including the content C21) has been received from the terminal device 100 operated by the user (step S11). When the distribution request has not been received (step S11: No), the information processing server 10 repeats step S11 until the distribution request is received.

  When the distribution request is received (step S11: Yes), the information processing server 10 acquires comment information from the comment information database 121 (step S12). The information processing server 10 acquires, from the comment information, evaluation information for each of the plurality of comments for the first content and information on the number of times of browsing for each of the plurality of comments (step S13).

  And the information processing server 10 discriminate | determines the malicious degree of each of several comments with respect to 1st content (step S14). Furthermore, the information processing server 10 calculates a score for each of the plurality of comments based on the evaluation information and the number of browsing times (step S15).

  Subsequently, the information processing server 10 selects a predetermined number of comments to be arranged in a predetermined content from the plurality of comments based on the evaluation information and the number of times each of the plurality of comments is viewed (step S16). At this time, the information processing server 10 may select a predetermined number of comments to be arranged in a predetermined content from a plurality of comments based on the evaluation information, the number of browsing times, and the malicious degree.

  Subsequently, the information processing server 10 generates predetermined content including the first content and including the predetermined number of comments specified in step S16 (for example, content C14 illustrated in FIG. 5) ( Step S17). Then, the information processing server 10 transmits the generated content to the terminal device 100 (step S18).

  When the transmission is completed, the information processing server 10 returns to step S11 and waits until a content distribution request is received from the terminal device 100.

[4. (Modification)
The above-described embodiment shows an example, and various changes and applications are possible.

  For example, in the above-described embodiment, the information processing server 10 uses the score for selecting the content for distribution, but it is not always necessary to use the score for selecting the comment for distribution. The information processing server 10 randomly selects a certain number (for example, one) of a predetermined number of comments to be distributed comments from among a plurality of comments, and evaluates other comments to be distributed comments as evaluation information You may select in order of order based on.

In the above-described embodiment, the information processing server 10 calculates the score based on the evaluation information of comments made on the content to be distributed (first content). However, the information processing server 10 may calculate a score based on evaluation information of comments made on content (second content) different from the first content. For example, the information processing server 10 selects a plurality of comments made on a second content (for example, the content C22 illustrated in FIG. 3) different from the first content (for example, the content C21 illustrated in FIG. 3). Evaluation information on a similar comment (for example, comment T21) similar to a predetermined comment (for example, comment T11) made on the first content is acquired. Then, the information processing server 10 calculates the score of the predetermined comment based on the evaluation information and the number of browsing of the predetermined comment and the evaluation information of the similar comment. For example, the information processing server 10, the number of the r _i, the value based on the evaluation information of a predetermined comment (for example, the number of positive evaluation), the evaluation information (e.g., positive evaluation similar comments of the aforementioned formula (1) The score is calculated as an addition value of the values based on ().

  Various methods can be used to determine whether or not the comments are similar. For example, the information processing server 10 can determine a similar comment based on a vector that is a distributed expression of a comment. For example, the information processing server 10 converts a predetermined comment made on the first content into a vector using a predetermined embedding process (for example, Word Embedding). Similarly, the information processing server 10 converts a plurality of comments made for the second content into a vector using a predetermined embedding process. Then, the information processing server 10 selects, as a comment similar to the predetermined comment, a comment having the highest cosine similarity with a predetermined comment vector among the plurality of comments made on the second content.

  In the above-described embodiment, the information processing server 10 is configured to acquire evaluation information and display count information, but performs evaluation (positive evaluation, negative evaluation, reply, etc.) on a comment. The user attribute information (for example, gender, age, etc.) may be acquired. At this time, the information processing server 10 determines a predetermined number to be arranged in the distribution content from a plurality of comments based on the number of evaluations for the comments, the number of comments viewed, and the attribute information of the user who performed the evaluation. Comments may be selected. For example, in calculating the score, the information processing server 10 increases the weight of evaluation performed by a user having the same attribute as the user who made the content distribution request (for example, a user having the same gender and age). Alternatively, in calculating the score, the information processing server 10 increases the weight as the evaluation of a user having an attribute close to the attribute of the user who requested the content distribution (for example, a user with a similar age). Then, the information processing server 10 selects a predetermined number of comments to be arranged in predetermined content from a plurality of comments based on the calculated score.

  The attribute information is, for example, demographic information or psychographic information. For example, user attribute information includes user gender, age, occupation, income, assets, address, office address, number of languages used, family composition, friendship, life cycle, values, lifestyle, personality. , Preferences, and information on these changes. The user attribute information may include a user search history and a service usage history. Of course, the user attribute information is not limited to the above information.

  In the above-described embodiment, the information processing server 10 calculates a score based on the maliciousness level of the comment. For the calculation of the maliciousness level, the comment is evaluated (positive evaluation, negative evaluation, reply, etc.). It is possible to use the attribute information of the user who performed the operation. For example, the information processing server 10 gives a low degree of malice to a comment that is biased from a specific attribute (male in the twenties) and obtains a lot of negative evaluations. A high degree of maliciousness is given to comments that have received many negative evaluations since their generation. Thereby, the information processing server 10 can increase the accuracy of the malicious degree.

  The information processing server 10 may be configured to acquire attribute information of a user who made a comment. Then, the information processing server 10 selects a distribution comment so that a predetermined number of comment attributes are distributed. The information processing server 10 selects a distribution comment so that the attributes of a predetermined number of comments are all the comments of users having different attributes. Thereby, the user can see comments of various users.

  In the above-described embodiment, the positive evaluation is “Good”. However, the positive evaluation is not limited to “Good”, and may be “Like”, for example. In addition, the positive evaluation may be an evaluation indicating affirmation, support, recommendation, good feeling, or the like other than “Good” or “Like”. In the above-described embodiment, the negative evaluation is “Bad”, but the negative evaluation may be “Yadane”, for example. In addition, the negative evaluation may be an evaluation other than “Bad” or “Yadane” indicating negative, opposite or disgusting. Further, the evaluation included in the evaluation information is not limited to the positive evaluation and the negative evaluation, and may be an evaluation indicating neutrality (neutral evaluation), for example.

  The evaluation included in the evaluation information is not limited to positive evaluation, negative evaluation, neutral evaluation, and the number of replies. For example, the evaluation included in the evaluation information may be an evaluation based on the number of stars. The evaluation included in the evaluation information may be an evaluation based on a numerical value such as “1”, “2”, “3”, etc., or an evaluation based on a rank such as “A”, “B”, “C”, etc. There may be.

  The control device that controls the information processing server 10 according to the present embodiment may be realized by a dedicated computer system or an ordinary computer system. For example, a program for executing the above-described operation is stored and distributed in a computer-readable recording medium such as an optical disk, a semiconductor memory, a magnetic tape, or a flexible disk, the program or data is installed in the computer, and the above-described program is executed. You may comprise a control apparatus by performing a process. The control device may be an external device (for example, a personal computer) of the information processing server 10 or an internal device (for example, the control unit 13). Further, the program may be stored in a disk device provided in a server device on a network such as the Internet so that it can be downloaded to a computer. Further, the above-described functions may be realized by cooperation between an OS (Operating System) and application software. In this case, a part other than the OS may be stored and distributed on a medium, or a part other than the OS may be stored in a server device and downloaded to a computer.

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

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

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

[5. Hardware configuration)
The information processing server 10 according to the embodiment and the modification can be realized by a computer 1000 having a configuration as illustrated in FIG. 9, for example. FIG. 9 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing server 10. The computer 1000 includes a CPU (Central Processing Unit) 1100, a RAM 1200, a ROM 1300, an HDD (Hard Disk Drive) 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F). ) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

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

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

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 1000 functions as the information processing server 10 according to the embodiment, the CPU 1100 of the computer 1000 performs control based on execution of processing based on a program or data (for example, model M) loaded on the RAM 1200. Part 13 is realized. The CPU 1100 of the computer 1000 reads these programs or data (for example, model M) from the recording medium 1800 and executes them, but as another example, these programs or data (for example, for example, from other devices via the network N). Model M) may be obtained.

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

[6. effect〕
According to the present embodiment, the information processing server 10 acquires evaluation information for each of a plurality of comments for the first content. Then, the information processing server 10 selects a predetermined number of comments to be arranged in a predetermined content from the plurality of comments based on the evaluation information and the number of times each of the plurality of comments is viewed. Thereby, since it is possible to obtain an opportunity for the user to browse a comment with a small number of browsing times, even a comment with a small number of browsing times can be highly evaluated if it is a good quality comment. As a result, the information processing server 10 can select a high-quality comment as a distribution comment.

  The information processing server 10 calculates the score of each of the plurality of comments based on the evaluation information and the number of browsing times, and selects a predetermined number of comments in descending order of the score. Thereby, since it is possible to obtain an opportunity for the user to browse a comment with a small number of browsing times, even a comment with a small number of browsing times can be highly evaluated if it is a good quality comment. As a result, the information processing server 10 can select a high-quality comment as a distribution comment.

  The information processing server 10 acquires evaluation information of similar comments similar to a predetermined comment made on the first content from comments made on the second content different from the first content. . Then, the information processing server 10 calculates the score of the predetermined comment based on the evaluation information and the number of browsing of the predetermined comment and the evaluation information of the similar comment. Thereby, the information processing server 10 can specify the display value based on the evaluation obtained by the similar comment even if the comment has a small number of browsing times. As a result, the information processing server 10 can select a high-quality comment as a distribution comment.

  The information processing server 10 is a value based on the evaluation information and indicating the high display value of the comment, and a value based on the number of browsing times and a second value indicating the low number of comment browsing times Then, a score based on the above is calculated, and a predetermined number of comments are selected in descending order of score. Thereby, the information processing server 10 can select a high-quality comment as a distribution comment.

  The information processing server 10 calculates a score using the reciprocal of the number of browsing times as a second value. Thereby, the information processing server 10 can select a high-quality comment as a distribution comment.

  The information processing server 10 acquires the number of positive evaluations attached to each of the plurality of comments as evaluation information. Then, the information processing server 10 calculates a score using a value based on the number of positive evaluations as a first value. Thereby, the information processing server 10 can select a high-quality comment that easily obtains a positive evaluation from the user as a distribution comment.

  The information processing server 10 acquires, as evaluation information, the number of positive evaluations attached to each of the plurality of comments and the number of negative evaluations attached to each of the plurality of comments. Then, the information processing server 10 calculates a score using a value based on the number of positive evaluations and the number of negative evaluations as a first value. Thereby, the information processing server 10 can select a high-quality comment that easily obtains a positive evaluation from the user as a distribution comment.

  The information processing server 10 acquires the number of replies for each of a plurality of comments as evaluation information. Then, the information processing server 10 calculates a score using the value based on the number of replies as a first value. Thereby, the information processing server 10 can select a high-quality comment that is easy to obtain a reply from the user as a distribution comment.

  The information processing server 10 determines the malice level of each of the plurality of comments. Then, the information processing server 10 selects a predetermined number of comments to be arranged in a predetermined content from a plurality of comments based on the evaluation information, the number of browsing times, and the malicious degree. Thereby, the information processing server 10 can prevent a malicious comment from being selected as a comment for distribution. As a result, the information processing server 10 can select a high-quality comment as a distribution comment.

  The information processing server 10 acquires the number of evaluations attached to each of a plurality of comments as evaluation information, and acquires attribute information of the user who performed the evaluation. Then, the information processing server 10 selects a predetermined number of comments to be arranged in predetermined content from a plurality of comments based on the number of evaluations, the number of browsing times, and attribute information. Thereby, the information processing server 10 can select a comment that is good for the user who receives the distribution as a comment for distribution.

  The information processing server 10 updates the evaluation information stored in the storage unit 12. Further, the information processing server 10 acquires evaluation information for each of the plurality of comments from the storage unit 12. At this time, the information processing server 10 updates the evaluation information stored in the storage unit 12 based on the reaction information of the user with respect to one or a plurality of comments in a predetermined number of comments. Thereby, the information processing server 10 can select a high-quality comment as a distribution comment.

  In the predetermined content, operation means for displaying comments other than a predetermined number of comments is arranged. Further, the storage unit 12 stores information on the number of browsing times of each of a plurality of comments. The information processing server 10 updates all the information on the number of times of browsing the predetermined number of comments arranged in the predetermined content when the operation means on the predetermined content is operated. Thereby, the information processing server 10 can select a high-quality comment as a distribution comment.

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

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

DESCRIPTION OF SYMBOLS 1 ... Information processing system 10 ... Information processing server 11, 110 ... Communication part 12, 130 ... Memory | storage part 121 ... Comment information database 122 ... Score information database 13, 150 ... Control part 131 ... Acquisition part 132 ... Update part 133 ... Discrimination part 134 ... Selection unit 135 ... Generation unit 136 ... Transmission unit 100 ... Terminal device 120 ... Input unit 140 ... Output unit 151 ... Display unit 152 ... Display control unit B1, B21, B22 ... Buttons C11-C14, C21 ... Content H1 ... Distribution Comment M1 ... Heading R11-R13 ... Reply information T11-T14, T16, T18 ... Comment TB1 ... Text box

Claims (14)

An acquisition unit that acquires evaluation information of each of the plurality of comments with respect to the first content;
A selection unit that selects a predetermined number of comments to be arranged in a predetermined content from the plurality of comments based on the evaluation information and the number of times each of the plurality of comments is viewed.
An information processing apparatus comprising: The selection unit calculates a score of each of the plurality of comments based on the evaluation information and the number of browsing times, and selects the predetermined number of comments in descending order of the score.
The information processing apparatus according to claim 1. The acquisition unit acquires evaluation information of a similar comment similar to a predetermined comment made to the first content from comments made to the second content different from the first content And
The selection unit calculates the score of the predetermined comment based on the evaluation information and the number of browsing times of the predetermined comment and the evaluation information of the similar comment.
The information processing apparatus according to claim 2. The selection unit is a value based on the evaluation information and indicating a high display value of the comment, and a value based on the number of times of browsing and the number of times of viewing the comment. Calculating a score based on a second value indicating uncertainty of the value of 1, and selecting the predetermined number of comments in order of increasing score;
The information processing apparatus according to claim 2, wherein the information processing apparatus is an information processing apparatus. The selection unit calculates the score using the reciprocal of the number of browsing times as the second value;
The information processing apparatus according to claim 4. The acquisition unit acquires the number of positive evaluations attached to each of the plurality of comments as the evaluation information,
The selection unit calculates the score using the value based on the number of positive evaluations as the first value;
The information processing apparatus according to claim 4, wherein the information processing apparatus is an information processing apparatus. The acquisition unit acquires, as the evaluation information, the number of positive evaluations attached to each of the plurality of comments and the number of negative evaluations attached to each of the plurality of comments,
The selection unit calculates the score using the value based on the number of positive evaluations and the number of negative evaluations as the first value;
The information processing apparatus according to any one of claims 4 to 6. The acquisition unit acquires the number of replies for each of the plurality of comments as the evaluation information,
The selection unit calculates the score using the value based on the number of replies as the first value;
The information processing apparatus according to any one of claims 4 to 7. A discriminator for discriminating the maliciousness of each of the plurality of comments;
The selection unit selects a predetermined number of comments to be arranged in the predetermined content from the plurality of comments based on the evaluation information, the number of times of browsing, and the malicious degree.
The information processing apparatus according to claim 1, wherein the information processing apparatus is an information processing apparatus. The acquisition unit acquires, as the evaluation information, the number of evaluations attached to each of the plurality of comments, and acquires attribute information of a user who performed the evaluation,
The selection unit selects a predetermined number of comments to be arranged in the predetermined content from the plurality of comments based on the number of evaluations, the number of browsing times, and the attribute information.
The information processing apparatus according to any one of claims 1 to 9. An update unit for updating the evaluation information stored in the storage unit,
The acquisition unit acquires the evaluation information of each of the plurality of comments from the storage unit,
The update unit updates the evaluation information stored in the storage unit based on user reaction information for one or more comments in the predetermined number of comments.
The information processing apparatus according to any one of claims 1 to 10. In the predetermined content, operation means for displaying comments other than the predetermined number of comments is arranged,
In the storage unit, information on the number of browsing times of each of the plurality of comments is stored,
The update unit updates all the information on the number of browsing times of the predetermined number of comments arranged in the predetermined content when the operation unit on the predetermined content is operated.
The information processing apparatus according to claim 11. An information processing method executed by an information processing apparatus,
An acquisition step of acquiring evaluation information of each of the plurality of comments on the first content;
A selection step of selecting a predetermined number of comments to be arranged in a predetermined content from the plurality of comments based on the evaluation information and the number of browsing times of each of the plurality of comments;
An information processing method comprising: An acquisition procedure for acquiring evaluation information of each of a plurality of comments on the first content;
A selection procedure for selecting a predetermined number of comments to be arranged in a predetermined content from the plurality of comments based on the evaluation information and the number of browsing times of each of the plurality of comments;
Processing program for causing a computer to execute.

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