JP7595344B2 - 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 have been systems that suggest other books based on a user's reading interests. The technology described in Patent Document 1 detects the part of a book that the user is focusing on, and suggests other books related to the content of that part.

JP 2013-218417 A

As described above, the technology described in Patent Document 1 suggests other books depending on the part the user focuses on. However, when suggesting books to a user, simply focusing on the part the user focuses on does not necessarily suggest a book that is suitable for that user. Therefore, it is desirable to use technology other than the conventional technology to suggest media containing text, such as books suitable for the user.

The present invention aims to provide an information processing device, an information processing method, and an information processing program that can suggest text media that are more suitable for the user.

An information processing device according to one embodiment includes a first setting unit that sets tags related to the content of a first sentence for one or more components of the first sentence recorded on each of a plurality of first media; a second setting unit that sets the importance in the first sentence for the tag set by the first setting unit; a first storage unit that stores, for each of a plurality of first media, related information that associates the first medium, the tag set by the first setting unit for the same first medium, and the importance set by the second setting unit for the same first medium; a first acquisition unit that acquires the tag and importance set for the second sentence recorded on the second medium read by the user; an identification unit that identifies a first sentence similar to the second sentence based on the tag and importance for the second sentence acquired by the first acquisition unit and the related information stored in the first storage unit, and identifies the first medium on which the first sentence is recorded; and a suggestion unit that suggests the first medium identified by the identification unit to a user terminal used by the user.

The information processing device of one embodiment may include a third setting unit that sets the difficulty level of the first sentence, and the first storage unit may store, for each of a plurality of first media, related information that associates the first medium, a tag set by the first setting unit for the same first medium, an importance set by the second setting unit for the same first medium, and a difficulty level set by the third setting unit for the same first medium.

An information processing device according to one embodiment includes a second acquisition unit that acquires evaluation information regarding a user's evaluation of a first medium proposed by the suggestion unit, and a third acquisition unit that acquires an evaluation of the user when reading a sentence based on the evaluation information acquired by the second acquisition unit, and the identification unit may identify a first sentence according to the user's evaluation based on the user's evaluation acquired by the third acquisition unit and related information stored in the first storage unit, and identify a first medium on which the first sentence is recorded.

An information processing device according to one embodiment may include a second storage unit that stores answer information that associates an evaluation of a user's reading of a text with a question and an answer to the user that correspond to the evaluation, and a notification unit that, when the second acquisition unit acquires the evaluation information, notifies the user terminal of the question and answer that correspond to the evaluation included in the evaluation information based on the evaluation information and the answer information stored in the second storage unit.

In one embodiment of the information processing device, the notification unit may send notifications to the user terminal in a chat format.

In one embodiment, when the second acquisition unit acquires evaluation information, the information processing device may be provided with a sharing unit that enables evaluations based on the evaluation information to be shared among multiple users.

In one embodiment of the information processing device, the sharing unit may classify multiple users into multiple levels based on the evaluation information, and enable multiple users classified into the same level to share evaluations based on the evaluation information.

In one aspect of the information processing method, a computer executes a first setting step of setting tags related to the content of a sentence for one or more components of a first sentence recorded on each of a plurality of first media, a second setting step of setting the importance in the first sentence for the tag set by the first setting step, a storage step of storing related information relating the first medium, the tag set by the first setting step for the same first medium, and the importance set by the second setting step for the same first medium in a storage unit for each of the plurality of first media, an acquisition step of acquiring the tag and importance set for a second sentence recorded on a second medium read by a user, an identification step of identifying a first sentence similar to the second sentence based on the tag and importance for the second sentence acquired by the acquisition step and the related information stored in the storage unit, and identifying the first medium on which the first sentence is recorded, and a proposal step of proposing the first medium identified by the identification step to a user terminal used by the user.

In one embodiment, the information processing program causes a computer to realize a first setting function that sets tags related to the content of a sentence for one or more components of a first sentence recorded on each of a plurality of first media, a second setting function that sets the importance in the first sentence for the tag set by the first setting function, a storage function that stores, for each of a plurality of first media, related information that associates the first medium, the tag set by the first setting function for the same first medium, and the importance set by the second setting function for the same first medium, an acquisition function that acquires the tag and importance set for a second sentence recorded on a second medium read by a user, a specification function that identifies a first sentence similar to the second sentence based on the tag and importance for the second sentence acquired by the acquisition function and the related information stored in the storage function, and identifies the first medium on which the first sentence is recorded, and a suggestion function that suggests the first medium identified by the specification function to a user terminal used by the user.

An information processing device of one embodiment sets tags related to the content of a first sentence on a first medium and the importance within the sentence for the tags, and stores them as related information in a first memory unit, acquires the tags and importance set for a second sentence on a second medium read by a user, identifies a first sentence that is similar to the second sentence based on the tags, importance and related information for the second sentence, identifies a first medium on which the first sentence is recorded, and suggests the first medium to the user (user terminal), thereby being able to suggest a text medium that is more suitable for the user.
The information processing method and the information processing program according to one aspect can achieve the same effects as the information processing device according to the above aspect.

FIG. 1 is a diagram illustrating an information processing system according to an embodiment. FIG. 1 is a block diagram illustrating an information processing device according to an embodiment. FIG. 11 is a first diagram for explaining an example of a screen displayed on a display unit of a user terminal. FIG. 2 is a second diagram for explaining an example of a screen displayed on the display unit of the user terminal. FIG. 3 is a third diagram for explaining an example of a screen displayed on the display unit of the user terminal. 10 is a flowchart for explaining a processing method when the information processing device suggests a first medium to a user. 11 is a flowchart for explaining a processing method in a case where the information processing device suggests a first medium in accordance with a user's evaluation. 11 is a flowchart for explaining a processing method when the information processing device acquires a user's evaluation.

An embodiment of the present invention will now be described.
In this specification, the term "information" is used, but the term "information" can be replaced with "data" and the term "data" can be replaced with "information".

First, an overview of the information processing device 200 will be described.
FIG. 1 is a diagram illustrating an information processing system 1 according to an embodiment.

The information processing system 1 includes a user terminal 100 and an information processing device 200.

The user terminal 100 is a terminal used by a user. The user terminal 100 may be, for example, a smartphone, a tablet, a laptop, a desktop, etc.

The information processing device 200 is a device that proposes the media described below to the user terminal 100 (user). The information processing device 200 may be, for example, a laptop, a desktop, a server, etc.

The information processing device 200 suggests various media such as books, magazines, newspapers, and electronic publications to the user (for example, a child). For example, a child, who is a user, may give up reading a text (medium) if the text written in the medium is long or difficult. In this case, the child may become hesitant to read not only that medium but also multiple other media. In addition, the child may hesitate to read a text (medium) if the genre or story does not interest the child. The information processing device 200 suggests to the user (for example, a child) a medium on which text is recorded according to the user's preferences and text reading level.

That is, the information processing device 200 breaks down a sentence (first sentence) written on one or more media (first media) into components and sets tags. The information processing device 200 also sets the importance of the first sentence for the tags. The information processing device 200 can obtain the story, difficulty level, and the like of the first sentence through the settings.
Furthermore, when the user reads a second sentence written on a medium (second medium), the information processing device 200 acquires the tag set for the second sentence and the importance of the tag.
The information processing device 200 identifies a first sentence similar to the second sentence based on a tag and importance of the second sentence written in the second medium read by the user and a tag and importance of the first sentence written in the first medium. The information processing device 200 identifies the first medium in which the identified first sentence is written and suggests the first medium to the user.

Next, the information processing device 200 will be described in detail.
FIG. 2 is a block diagram for explaining an information processing device 200 according to an embodiment.

The information processing device 200 includes a communication unit 221, a first memory unit 222, a second memory unit 223, a display unit 224, a first setting unit 202, a second setting unit 203, a third setting unit 204, a first acquisition unit 205, an identification unit 206, a proposal unit 207, a second acquisition unit 208, a third acquisition unit 209, a notification unit 210, and a sharing unit 211. The first setting unit 202, the second setting unit 203, the third setting unit 204, the first acquisition unit 205, the identification unit 206, the proposal unit 207, the second acquisition unit 208, the third acquisition unit 209, the notification unit 210, and the sharing unit 211 may be realized as a function of a control unit 201 (e.g., a calculation processing device, etc.) of the information processing device 200.

The communication unit 221 transmits and receives information to and from a terminal external to the information processing device 200. For example, the communication unit 221 communicates with a user terminal 100 used by a user.

The first storage unit 222 stores related information. The related information is information that associates a first medium, a tag related to a component of a sentence of the first medium, and the importance of the tag in the first medium. The related information may also be information that associates a first medium, a tag related to a component of a sentence of the first medium, the importance of the tag in the first medium, and the difficulty of the first medium. The tag is set by the first setting unit 202 as described later. The importance is set by the second setting unit 203 as described later. The difficulty is set by the third setting unit 204 as described later. The related information may be related information that associates a first medium, a tag for the first medium, and the importance of the first medium for each of a plurality of first media. The related information may also be related information that associates a first medium, a tag for the same first medium, the importance for the same first medium, and the difficulty for the same first medium for each of a plurality of first media. The related information may be stored in advance in the storage unit. As described below, related information is used to recommend other media (first medium) to a user based on the medium (second medium) that the user has read.

The second storage unit 223 may store answer information that associates an evaluation of a user when reading a text with questions and answers to the user according to the evaluation. The answer information is used, for example, in chats between the information processing device 200 and the user terminal 100, as described below. The answer information is, for example, information such as questions to the user that are sent to the user terminal 100, and answers to content input by the user to the user terminal 100. In other words, the answer information is information such as questions and answers according to the user's various evaluations (contents input to the user terminal 100) when the user reads a text.

Examples of user evaluations may be various evaluations such as "I read the medium and it was interesting," "I read the medium but it was boring," "The medium was long," "The medium was short," "I would most like to read it," and "I would like to read other types (genres) of medium," etc. User evaluations may be, for example, user impressions (e.g., reviews, etc.). Examples of questions and answers to the user may be various questions and answers such as "Was the medium you read interesting?", "Was the length of the medium appropriate?", "Would you like to read more of the medium?", and "Would you like to read other types (genres) of medium?", etc.

The first storage unit 222 and the second storage unit 223 may be different storage units, or may be the same storage unit. For example, the first storage unit 222 and the second storage unit 223 may be different storage areas in the same storage unit, or may be the same storage area.

The display unit 224 displays, for example, characters, symbols, images, and the like. For example, the display unit 224 may display a first medium proposed to the user terminal 100 by the proposal unit 207 described below. In addition, for example, the display unit 224 may display the contents (e.g., chat contents) communicated with the user terminal 100 by the notification unit 210 described below. In addition, for example, the display unit 224 may display the contents shared with the group by the sharing unit 211 described below.

The first setting unit 202 sets tags related to the content of the sentence for one or more components of the first sentence recorded on each of the multiple first media. The first setting unit 202 sets tags by, for example, breaking down the first medium (first sentence) into various components including the content and structure. The tags are used when recommending a medium to a user. The tags are factors that cause a medium to be recommended to a user. The tags are set for various components of the sentence (first sentence) written on the first medium, including attributes such as the genre of the first medium (first sentence), the protagonist of the first sentence, the characters in the first sentence, the scenes that appear in the first sentence, and the items that appear in the first sentence. As a specific example, the tags may be various attributes such as fantasy, adventure, school, cooking, and shop in the case of the "book genre". Also, as a specific example, the tags may be various attributes such as people, animals, and vehicles in the case of the "protagonist".

The second setting unit 203 sets the importance in the first sentence for the tag set by the first setting unit 202. That is, the second setting unit 203 sets, as the importance, an index indicating how important one or more tags in the first sentence are in the first sentence. The importance (index indicating importance) may be expressed, for example, as a numerical value. As an example, a relatively large numerical value indicating the importance may indicate that the tag is more important in the first sentence (its importance is relatively high). As a specific example, the second setting unit 203 may set, as the importance, a numerical value that is larger (or smaller) the greater the degree of influence on the story. That is, the second setting unit 203 sets, as the importance, a large (or small) numerical value for an element that is important in explaining the story written on the medium.

As a more specific example, the control unit 201 assigns a value of "10" to components that are essential to the story of the first medium, a value of "1" to unimportant components, and no value to components that are not included. The control unit 201 also assigns a value between 2 and 9 depending on the importance of the component. In this case, multiple components may be preset in the control unit 201. The control unit 201 sets components that are assigned values between 1 and 10 as tags, and sets the value assigned to the component as the importance.

The third setting unit 204 may set the difficulty level of the first sentence. The difficulty level may be an index indicating the level of readability, such as the length of the first sentence, the length of one sentence, the difficulty of the kanji used in the sentence, and the difficulty of the writing style. The difficulty level may be expressed, for example, as a numerical value. As one example, a relatively large numerical value indicating the difficulty level (or a relatively small numerical value) may indicate that the first sentence is more difficult (the difficulty is relatively increased).

As a specific example, the third setting unit 204 may obtain the number of characters in the first medium as the length of the first sentence to be considered when setting the difficulty level. That is, the third setting unit 204 may obtain how many characters the sentence in the medium is. In this case, for example, the third setting unit 204 may extract one or two arbitrary pages in the medium, multiply the number of characters in one line on the page by the number of lines, and further multiply the result of the calculation by the number of pages to obtain the number of characters (length).
The third setting unit 204 may set the difficulty level based on the kanji rate, the average sentence length, the difficulty of the vocabulary, the difficulty of the kanji, and the like.

When the tag, importance, and difficulty level are set as described above, the control unit 201 stores, in the first storage unit 222, association information that associates the tag, importance, and difficulty level.
That is, the control unit 201 stores in the first memory unit 222, for each of the multiple first media, related information that associates the first medium, the tag set by the first setting unit 202 for the same first medium, and the importance set by the second setting unit 203 for the same first medium.
The control unit 201 may store in the first memory unit 222, for each of a plurality of first media, related information associating the first medium, a tag set by the first setting unit 202 for the same first medium, the importance set by the second setting unit 203 for the same first medium, and the difficulty set by the third setting unit 204 for the same first medium.

The first acquisition unit 205 acquires the tag and importance set for the second sentence recorded on the second medium read by the user. For example, when related information of a first medium that is the same as the second medium read by the user is stored in the first storage unit 222, the first acquisition unit 205 may acquire the tag and importance of the second medium based on the related information.

The second acquisition unit 208 may acquire evaluation information regarding a user's evaluation of the first medium proposed by the suggestion unit 207 described later. That is, when the second acquisition unit 208 recommends a medium (first medium) to a user as described later, it acquires the user's evaluation (evaluation information) of the recommended medium. As described above, the user's evaluation may be various evaluations including, for example, "I read the medium and it was interesting," "I read the medium but it was boring," "The medium was long," "The medium was short," "I want to read more," and "I want to read other types (genres) of medium." The user's evaluation may be, for example, a user's impression, etc.

Here, for example, when an evaluation is input by the user terminal 100 used by the user, the user terminal 100 may transmit evaluation information related to the input evaluation to the information processing device 200. Alternatively, when a chat is conducted between the user terminal 100 and the information processing device 200, when the user inputs an evaluation in the chat via the user terminal 100, the second acquisition unit 208 may acquire evaluation information related to the evaluation from the chat. For example, when the information processing device 200 presents multiple options for evaluation to the user terminal 100, the second acquisition unit 208 may acquire the content (evaluation) selected from the multiple options as evaluation information.

The third acquisition unit 209 may acquire an evaluation of the user when reading a text based on the evaluation information acquired by the second acquisition unit 208. The third acquisition unit 209 acquires the content of the evaluation based on the evaluation information, as in the example described above.

The identification unit 206 identifies a first sentence that is similar to the second sentence based on the tag and importance of the second sentence acquired by the first acquisition unit 205 and the related information stored in the first memory unit 222, and identifies the first medium on which the first sentence is recorded.
The identification unit 206 can acquire which part of the second sentence is emphasized based on the tags and importance acquired by the first acquisition unit 205. That is, the identification unit 206 can acquire which tag among the multiple tags is emphasized according to the quantified importance. This allows the identification unit 206 to acquire the shading of the story of the second sentence, for example.
Similarly, the identifying unit 206 can obtain which part of the first sentence is emphasized based on the tags and importance included in the related information.

The identification unit 206 can obtain whether the second sentence and the first sentence are similar to each other by comparing the emphasized part of the second sentence obtained as described above with the emphasized part of the first sentence. The identification unit 206 identifies a first sentence similar to the second sentence, and identifies a first medium in which the identified first sentence is written.
As an example, the identification unit 206 may identify a medium in which the numerical values of the importance attached to the tag of the second sentence and the importance attached to the tag of the first medium based on the related information are within a predetermined range as a similar medium, and identify the first medium according to this identification. Note that the identification unit 206 may identify a first medium similar to the second medium by using various processes, not limited to the process contents of the example described above. In addition, the identification unit 206 may identify a first medium similar to the second medium by, for example, learning (e.g., machine learning and deep learning, etc.).

The identification unit 206 may identify a first sentence according to the user's evaluation based on the user's evaluation acquired by the third acquisition unit 209 and the related information stored in the first storage unit 222, and identify the first medium in which the first sentence is recorded. The identification unit 206 acquires the user's evaluation when reading the second medium (second sentence). For example, when the user's evaluation when reading the second medium is a positive evaluation such as "fun" and "most wanted to read", the identification unit 206 identifies a first sentence similar to the second sentence by comparing the emphasized part of the second sentence in the second medium read by the user with the emphasized part of the first sentence. The identification unit 206 identifies a first sentence similar to the second sentence, and identifies the first medium in which the identified first sentence is written.

For example, when the user evaluates the second medium (second sentence) as being long (or short), the identification unit 206 identifies a first sentence that is shorter (or longer) than the second sentence by comparing the emphasized part of the second sentence in the second medium read by the user with the emphasized part of the first sentence.

For example, when the user evaluates the second medium (second sentence) as being "difficult (or easy)" when reading the second medium, the identification unit 206 identifies a first sentence that is less difficult (or more difficult) than the second sentence by comparing the emphasized part of the second sentence of the second medium read by the user with the emphasized part of the first sentence.

The identification unit 206 is not limited to the above example, and identifies an appropriate first sentence according to various evaluations by the user based on tags and importance. The identification unit 206 identifies the first medium on which the identified first sentence is recorded.

The suggestion unit 207 suggests the first medium identified by the identification unit 206 to the user terminal 100 used by the user. That is, the suggestion unit 207 recommends the first medium to the user. In this case, when the identification unit 206 identifies a plurality of first media similar to the second medium, the suggestion unit 207 may recommend the plurality of first media to the user. For example, the suggestion unit 207 may recommend the first medium in a chat format in a chat conducted between the user terminal 100 and the information processing device 200.

FIG. 3 is a first diagram for explaining an example of a screen displayed on display unit 101 of user terminal 100. As shown in FIG.
As shown in an example in FIG. 3, the user terminal 100 displays the first medium proposed by the information processing device 200 (the proposal unit 207) on the display unit 101 in a chat format.

When the second acquisition unit 208 acquires the evaluation information, the notification unit 210 may notify the user terminal 100 of a question and answer corresponding to the evaluation included in the evaluation information based on the evaluation information and the answer information stored in the second storage unit 223. In this case, the notification unit 210 may perform the notification in a chat format with the user terminal 100. As an example, the notification unit 210 may notify the user terminal 100 of a question and answer that delves deeper into the user's evaluation in order to obtain a more accurate evaluation when the user reads the second medium. As a specific example, when the evaluation of the user who read the second medium is "difficult," the notification unit 210 may notify the user terminal 100 of questions and answers such as "Was the story fun?" and "Were the characters good?" based on the answer information in order to acquire other evaluations of the second medium. In this case, the notification unit 210 may notify multiple options during the question and allow the user to select one option.

When the sharing unit 211 acquires the evaluation information by the second acquisition unit 208, the sharing unit 211 may enable evaluations based on the evaluation information to be shared among multiple users. The sharing unit 211 may share an evaluation of one user with other users. In this case, the sharing unit 211 may share the user's impressions from among the user's evaluation with other users. In other words, the sharing unit 211 may allow the user's evaluation to be viewed by other users.

In this case, the sharing unit 211 may classify multiple users into multiple levels based on the evaluation information, and enable multiple users classified into the same level to share evaluations based on the evaluation information. The sharing unit 211 may share a user's evaluation with other users of the same level based on the evaluation information, depending on the reading level at which the user reads the medium, that is, depending on how difficult the medium is for the user to read.

Next, an embodiment of the information processing device 200 will be described.
First, an embodiment (book selection) in which the information processing device 200 proposes a medium to a user will be described.

The information processing device 200 selects books to suit the preferences of a user (e.g., a child, etc.) based on the story of the story of the text written on the medium. First, the control unit 201 determines the story of the medium (for example, a children's book, etc.). In this case, the control unit 201 breaks down the components of the children's book (book A) into tags and generates information that numerically evaluates the importance of each tag. As an example, the control unit 201 may acquire character information in which the characters written on the medium are digitized, and set tags and importance by performing various analyses (for example, various processes including morphological analysis, etc.) and processes using learning (for example, machine learning and deep learning, etc.). The control unit 201 can quantitatively acquire the story of the story of the children's book based on the tag. In other words, the control unit 201 can grasp the medium in which a similar story is written (for example, books such as children's books (book B)) by treating the tag and importance information as a matrix and calculating the inner product. The information processing device 200 can realize book selection by suggesting book B if the child likes book A.

The control unit 201 can also group books by performing various network analyses on tag information. As an example, the control unit 201 can group multiple media (e.g., novels and history books) for which the tag "romance" is set. That is, the control unit 201 can group multiple related media using tags and importance. This allows the information processing device 200 to make suggestions (book selections) that broaden the user's range of interests when suggesting media to the user. The information processing device 200 can also allow the user to find media related to each other and to each other in groups using tags and importance. As a specific example, the information processing device 200 can suggest historical works with strong romantic elements to get a child who likes romance novels interested in history.

In addition, the information processing device 200 can suggest media to children according to the setting of the difficulty level for the medium, that is, according to the numerical evaluation of the difficulty level of the medium and the children's reading ability based on the number of characters. As an example, the control unit 201 may set the difficulty level for the medium by acquiring character information in which characters written on the medium are digitized and performing various processes using learning (e.g., machine learning and deep learning, etc.). Here, for example, the control unit 201 may set the difficulty level based on an index independent of the length of the sentence, such as the Chinese word rate, Japanese word rate, average sentence length, Chinese character rate, vocabulary difficulty, and number of pages. As an example, the control unit 201 may read a sentence of about 1000 to 2000 characters as a text file from the medium for which the difficulty level is to be determined. The control unit 201 uses a morphological analysis engine (e.g., MeCab, etc.) to perform word separation for the read sentence and obtain the following numerical values a to f. That is, the control unit 201 calculates the rate of kanji characters in all characters (here, a), the average length of one sentence (here, b), the rate of Chinese words in all morphemes (here, c), the rate of Japanese words in all morphemes (here, d), the rate of verbs in all morphemes (here, e), and the rate of particles in all morphemes (here, f). Next, the control unit 201 inputs the aforementioned numerical values a to f into a formula, an example of which is shown below, and calculates the difficulty level of the text as the readability level L.
L=60*a+0.24*b+126*c+42*d+145*e+44*f
The control unit 201 may use natural language processing technology to determine the difficulty level based on the complexity of the flow of the entire sentence. The control unit 201 may also consider a difficulty level chart of the vocabulary used and the grade level of the kanji characters in addition to the information in the sentence. For example, the control unit 201 may calculate the number of characters per medium based on the number of characters per page. This allows the information processing device 200 to suggest media that accurately promotes the growth of children through reading, for example, based on an index independent of the difficulty and length of the medium.

As a specific example, the information processing device 200 may suggest books with a relatively low level of difficulty and a relatively large number of characters to a child in the lower grades who is good at reading. As another specific example, the information processing device 200 may suggest books with a relatively high level of difficulty and a relatively small number of characters to a child in the upper grades who is not good at reading. In this way, when the information processing device 200 aims to help a child improve their reading skills, it can reduce the burden on the child. As another example, the information processing device 200 does not always suggest medium C with "relatively difficult and relatively long sentences," but can instead suggest medium D with "relatively difficult and relatively short sentences" and medium E with "relatively easy and relatively long sentences" between multiple suggestions of medium C.

The information processing device 200 may also change the medium suggested to the user according to the user's evaluation (feedback). That is, when the user reads a medium, the control unit 201 may transmit questions to the user terminal 100 to prompt the user to evaluate the medium (for example, an impression questionnaire). The control unit 201 may transmit questions to the user terminal 100 to prompt the user to evaluate the medium on the indexes of "whether the user liked or disliked the medium," "whether the medium was difficult or easy," and "whether the medium was long or short." As an example, when the user's evaluation is "like the medium," the control unit 201 suggests a medium that is highly similar to the medium read by the user. As an example, when the user's evaluation is "the medium is difficult," the control unit 201 suggests a medium that is easier than the medium read by the user. As an example, when the user's evaluation is "the medium is long," the control unit 201 suggests a medium that is shorter than the medium read by the user.

Furthermore, the information processing device 200 can determine the personality of the user based on the user's evaluation. For example, the control unit 201 can determine whether the user has a "showy personality" based on the correlation between the evaluation of "whether the user likes or dislikes the medium" and the evaluation of "whether the medium was long or short."
As an example, if a medium is difficult and the child does not understand the contents and does not enjoy reading the medium, the vain child may evaluate it as "just right". In this case, the control unit 201 may obtain the child's evaluation of "just right" but "boring" by repeatedly chatting with the child (user terminal 100) with questions and the user's evaluation. Furthermore, in this case, the control unit 201 may obtain the child's evaluation of the medium rated as "easy" as "just right". In such a case, the control unit 201 may determine the child's (user's) personality and suggest a medium according to the personality. In other words, the control unit 201 may suggest a medium with an easier difficulty level than the medium read by the user to a user with a "vain" personality. This allows the information processing device 200 to perform mutually complementary book selection.

The control unit 201 can also identify tags that are factors in user preferences based on the user's evaluation of preferences. For example, the control unit 201 can identify tags that have a large influence on the user's evaluation of preferences based on the evaluation of multiple media in which the media have a relatively high similarity but there is a difference in the evaluation of preferences. Identifying such tags is important when the control unit 201 makes a suggestion for the user to widen the range of reading media while enjoying the user's reading experience.

The information processing device 200 may also have in advance information (medium tag information) in which each medium is assigned a numerical value based on keywords that represent the characteristics of the medium. The characteristics of the medium may be "genre: fantasy", "subject: animals", and "reader's emotion: moving", etc. The control unit 201 may, for example, analyze the contents of the book using natural language processing and assign tags (tag information) to the medium. The control unit 201 may, for example, standardize the tag information of each medium so that there is no variation in book selection due to differences in the way the above-mentioned numerical values are assigned. As an example, the control unit 201 may regard the tag information assigned to each medium as a vector and perform scale conversion so that the L2 norm representing the length of the vector is set to a predetermined value (for example, 30, etc.).

The control unit 201 may calculate the similarity of other media that the user has read and given relatively high ratings to the current medium based on a criterion obtained by a method described below, and may suggest to the user a medium with a relatively high similarity as the next book selection. In this case, the control unit 201 may change the media to be suggested as candidates according to the book selection type described below. The control unit 201 may also determine the book selection according to the growth of the user's child (taking into account the child's growth stage).
For example, when the user is sufficiently enjoying reading a medium with an appropriate readability level L, the control unit 201 may encourage the user to step up to reading a medium with a level of "difficult" or "long." On the other hand, when the user is sufficiently enjoying reading but is too early to step up, the control unit 201 may select books that maintain the current level.
In addition, the control unit 201 may, for example, select more books at the “normal” and “easy” levels as described below for users who have a negative attitude toward reading and who submit comments infrequently, and may select more books at the “difficult,” “long,” and “commu” levels as described below for users who have a positive attitude toward reading and who submit comments sufficiently frequently.
The control unit 201 may calculate the above-mentioned similarity by regarding the tag information of each of the two media as a vector and taking the inner product thereof.

The control unit 201 may set the following as the book selection method (book selection type) when selecting a book. That is, the control unit 201 may combine, for example, as the book selection type, not only normal book selection (here called normal) that matches the user's preferences, but also book selection from a medium with a relatively high readability level L (here called difficult), book selection from a medium with a relatively large number of characters (here called long), book selection from a medium with a readability level L and number of characters lower than the user's aptitude (here called easy), and book selection from a type of medium that the user has not read much so far (here called commu), in order to naturally encourage the user's growth.
The control unit 201 selects the above-mentioned "normal" book only from media whose readability level L and number of characters match the appropriate readability level L and appropriate number of characters, respectively.
The control unit 201 selects books for the above-mentioned "difficult" by limiting the selection to only media whose readability level L is slightly higher than the appropriate level. In this case, the control unit 201 may select books by limiting the selection to media whose readability level L is higher and whose number of characters is smaller.
The control unit 201 may select books for the above-mentioned "long" books by limiting the number of characters to a medium that is slightly longer than the appropriate number. Here, the control unit 201 may select books by limiting the number of characters to a medium with a lower readability level L.
The control unit 201 may select books for the above-mentioned "easy" type by limiting the selection to media whose readability level L or the number of characters, or both, are slightly lower than the appropriate level.
The control unit 201 may select the above-mentioned "commu" by dividing the media in the data into about 10 groups (which may be called "communities", for example) and may preferentially select media belonging to communities that the user has read few media from. In this case, the readability level L and the range of the number of characters may be set in the same way as in the above-mentioned "normal" case.

As a method of forming a community of media as described above, the control unit 201 regards the data of tag information attached to media on the data as a vector, and calculates the inner product of the two vectors for all pairs of media. The control unit 201 may use the calculation result of the inner product as the similarity between the two media. This allows the control unit 201 to configure a weighted undirected graph in which the vertices are the media and the similarity between the two media is the weight of the edge. The control unit 201 can extract a community of similar media by using, for example, the Louvain method on the graph.
For example, the control unit 201 may select a community by calculating backwards from the user's growth goal. For example, the control unit 201 may select a genre that is expected to expand the range of media that the user can enjoy in the future by improving the user's proficiency in that genre.

In addition, the control unit 201 may refer to media that the user has previously read and determined to be "uninteresting" to predict media that the user does not like and exclude them from the candidates for book selection.
In addition, the control unit 201 may not only select one related book from another book, but may also analyze the user's likes and dislikes based on the user's entire reading history, as well as the frequency of reading and the frequency of submitting impressions, to select a book based on the user's motivation for reading.

Furthermore, the control unit 201 may perform the following process as a method for determining the appropriate readability level L and the appropriate number of characters.
That is, for example, when a user submits an impression after reading a medium, the control unit 201 obtains the results of the user answering questions on a five-point scale regarding whether the medium was “interesting,” “difficult,” and “long.”

When determining the appropriate readability level L, the control unit 201 may, for example, focus on the media that the user has read so far, for which the user has answered "just right (e.g., the third level out of five)" or answered "easier" than the question "Was it difficult?", and determine the readability level L of the medium with the first to third highest readability level L as the appropriate readability level L. In this case, the control unit 201 may take into account various information, such as how many media the user has read so far, contradictory evaluations (e.g., books with a low readability level L that should be easy but for which the user has answered "difficult"), and the timing of reading the medium (e.g., the more recently read the medium, the greater the contribution to determining the appropriate readability level L). Furthermore, the control unit 201 may fine-tune the appropriate readability level L for each medium that has been read. The control unit 201 may update the appropriate readability level L to a more accurate one by obtaining and analyzing user data in the future as a parameter for the fine-tuning. In addition, the control unit 201 may detect a user who, while reading a medium and finding it difficult, answers "easy" to show off, and may also suggest a medium of an appropriate level in that case.

In addition, when determining the appropriate number of characters, the control unit 201 may, in the same manner as in determining the appropriate readability level L described above, focus on media that the user has read to date and for which the user has answered "just right (e.g., third out of five)" to the question "Was it long?" or answered that it was shorter than that, and determine the number of characters in the media with the first to third longest number of characters as the appropriate number of characters. In this case, the control unit 201 may make fine adjustments for each medium read, using a method similar to that used in determining the appropriate readability level L described above.

Furthermore, the control unit 201 may generate an appropriate L-Char function that links an appropriate readability level L and an appropriate number of characters Char. In this case, the control unit 201 may calculate an appropriate readability level L and an appropriate number of characters Char for each genre.
Here, for example, a situation may occur in which the user is accustomed to reading fantasy media, understands the specific expressions and story development, and can read difficult media, but is not accustomed to reading school-related media, and cannot enjoy them unless he starts with easy media. Even in such a case, the control unit 201 can select books taking into consideration the "situation of schema acquisition," which is a context that optimizes vocabulary acquisition and concept acquisition.

In addition, the control unit 201 may select media to use as the basis for book selection by, for example, limiting the selection to media for which the user has answered "I like it (e.g., 3rd out of 5)" to the question "Was it interesting?" or rated higher, and may then select several books from among them as the media to use as the basis for book selection.
In principle, the control unit 201 may preferentially select media for which the user has answered "I really like it (e.g., 4th out of 5)" or "I want to read it again (e.g., 5th out of 5)." Note that the control unit 201 may adopt media with a "like" rating only when the user has read only a small number of media, or when a sufficient number of media cannot be prepared. In this case, the control unit 201 may change the number of media to be actually adopted depending on the book selection type and the number of media the user has read so far.
Furthermore, the control unit 201 may assign a weight to a medium with a low priority and use the medium as a criterion for book selection. For example, if the control unit 201 assigns a weight of 0.8 to the medium and uses the medium as a criterion for book selection, the similarity with other media is multiplied by 0.8, so that the probability of the medium being used for book selection can be lowered compared to a medium with a normal criterion.
Furthermore, the control unit 201 may update the above parameters to more accurate ones as soon as user data is collected.

In addition, as a method of initial book selection, the control unit 201 may, for example, obtain a questionnaire from the user as exemplified below, determine an appropriate readability level L and an appropriate number of characters based on the results of the questionnaire, and select a medium according to the user's preferences.
As an initial questionnaire, the control unit 201 may obtain answers to questions such as "Do you like books (e.g., on a 4-point scale)?" and "How many pictures in a book can you read (e.g., on a 4-point scale)?"
Alternatively, the control unit 201 may, for example, present the user with portions of four media with different readability levels L, and for each, present the user with a questionnaire such as "Was it difficult?" on a five-point scale, in the same way as when submitting impressions of the media described above.
Alternatively, the control unit 201 may present a predetermined number of keywords (e.g., 12) that represent characteristics of the medium, such as "cute,""funny," and "adventure," and obtain a result in which the user can select any number of keywords that they like.
For example, when the control unit 201 obtains answers to the difficulty evaluations for the four media in the initial questionnaire, the control unit 201 may convert the answers into numerical values, plot them on a plane, and draw a regression line. Furthermore, the control unit 201 may examine the intercept at a fixed position of the regression line based on the answers to questions such as "Do you like books?" and "How many pictures can you read in a book?", and set it as the appropriate readability level L. In this case, the control unit 201 may take into account, for example, the inconsistency of the answers to the difficulty evaluations (for example, a situation in which a text with a high readability level L is answered as "easy" while a book with a low readability level L is answered as "difficult"), etc., when deciding which point on the regression line to take. Furthermore, the control unit 201 may change the width of the appropriate readability level L according to the answering situation in the same manner as described above.

Furthermore, the control unit 201 may analyze the data of the medium to calculate an average number of characters corresponding to each readability level L, and set this as the appropriate number of characters. In this case, the control unit 201 may perform fine adjustments according to the response results of the initial questionnaire, such as setting an appropriate number of characters lower than the value for a user who responded that they do not like the medium.
In the above-mentioned method, the control unit 201 may employ, for example, the user's reading situation (such as the current weekly reading volume) as a variable.
The control unit 201 may also associate tag information representing the characteristics of each medium with, for example, the 12 keywords presented in the initial questionnaire. The control unit 201 may generate data of imaginary mediums having tag information corresponding to the keywords selected by the user, search for media that are highly similar to the data, as in the normal book selection described above, and set them as candidates for book selection. The control unit 201 may select media from the candidate media for book selection such that the readability level L is relatively distributed, and set them as the initial book list.

Next, we will explain an example (chatbot) in which the information processing device 200 obtains a user's evaluation.

The control unit 201 transmits questions or the like to the user terminal 100 in order to obtain an evaluation of a medium when the user reads the medium. In this case, the control unit 201 transmits a plurality of options to the user terminal 100 for the user to evaluate the medium, and receives the result of the selection of the options from the user terminal 100. When the control unit 201 receives the selection result of the options, it transmits a plurality of new options to the user terminal 100 according to the selection result. The control unit 201 repeats the transmission of options and the reception of the selection result of the options. In this case, the control unit 201 may automatically transmit a message (options, etc.) according to the selection result of the option by the user, for example, by a chatbot.

The information processing device 200 is not limited to the example of using a chatbot to obtain user evaluations, but may use a chatbot to allow the user to enjoy reading media more. In other words, the information processing device 200 may provide reading lessons to the user in the form of a scenario.

For example, the control unit 201 may use a chatbot conversation to suggest media that the user can enjoy, while at the same time making the user feel like they can enjoy reading, by eliminating the user's aversion to reading, or by increasing the user's anticipation of reading.
Furthermore, the control unit 201 may use a conversation with a chatbot to transfer "reading skills" to the user. For example, the control unit 201 may use a conversation with a chatbot to teach skills such as how to enjoy a medium and how to read a medium.
In addition, the control unit 201 may use conversation through a chatbot to teach techniques such as tips for writing reviews.
The control unit 201 may also provide the above-mentioned lesson for each user according to the reading situation of the user. In this case, the control unit 201 can obtain the user's evaluation and can obtain the user's reading situation based on the evaluation. For example, the control unit 201 can obtain the user's reading frequency based on the frequency of the user's evaluation, and can obtain the number of reading hours per day according to the evaluation of "reading time" in the user's evaluation. The control unit 201 can obtain the reading speed based on the number of reading hours and the number of characters of the medium read. Furthermore, the control unit 201 can obtain the user's feelings about reading based on the user's evaluation of "preference". The control unit 201 can suggest content that encourages the user to develop a reading habit to a user who reads relatively infrequently. Furthermore, the control unit 201 can suggest content that conveys the fun of reading to a user who is estimated to have a poor sense of dislike for reading. In this case, for example, the control unit 201 may specify the content to be suggested in advance according to the genre or the like that the user likes.

The control unit 201 may also cause the user to evaluate the above-mentioned lessons. That is, the control unit 201 may transmit a plurality of options for acquiring the user's evaluation of the lesson to the user terminal 100. The control unit 201 can acquire the content of the lesson that the user prefers based on the user's evaluation of the lesson.
Furthermore, the control unit 201 may request the user to write a free-form impression in the above-mentioned lesson. In this case, the control unit 201 may provide a lesson on impression writing techniques based on the amount of impression, the contents of the impression, and the vocabulary described in the impression. For example, the control unit 201 may provide a lesson to fill in the gap between known vocabulary estimated from the medium read and used vocabulary estimated from the user's impression.

Furthermore, the control unit 201 may perform the following process as a process for acquiring an impression.
For example, in order to save the user the trouble of inputting the title of the medium that he or she has read, the control unit 201 may display the covers of the recommended medium as candidates on the user terminal 100. When the user writes an impression of a medium other than the recommended medium, the control unit 201 may make the ISBN code or the like written on the medium readable using a barcode reader, so that the title can be input to the user terminal 100. The control unit 201 may also make it possible to display, as candidates, the mediums written on a list of media that the user wants to read on the user terminal 100.
First, the control unit 201 may transmit, for example, a multiple-choice question to the user terminal 100, allowing even a user (child) to intuitively answer an evaluation (for example, like or dislike, difficult or short, long or short, exciting or thrilling, etc.) on the user terminal 100, and prompting the user (user terminal 100) to answer a free-form impression at the end of the question. In this case, the control unit 201 may transmit to the user terminal 100 a question that increases in freedom and abstraction as the question and answer are repeated.
In addition, even for questions that request the user to answer about the reading time and the number of pages read, the control unit 201 may send questions to the user terminal 100 that do not require writing, but rather use an intuitive input method such as turning a clock displayed on the user terminal 100.
Furthermore, the control unit 201 may transmit hints to the user terminal 100 to help the user write free-form impressions, so that the hints are displayed on the user terminal 100. For example, the control unit 201 may control the user terminal 100 to randomly display universally usable hints. As an example, the control unit 201 may transmit a question such as "What would you have done if you were in the story?" to the user terminal 100.

Furthermore, the control unit 201 may transmit, for example, a question that is set specific to a medium to the user terminal 100. As an example, the control unit 201 may transmit, to the user terminal 100, a question requesting an impression of the behavior of the protagonist in a particular scene.
In addition, the control unit 201 may transmit advice to the user terminal 100, which is determined in a conditional manner based on the evaluations given by the user up to the free writing, so that the advice is displayed on the user terminal 100. As an example, the control unit 201 may transmit advice such as "I see you thought 'I really like it.' If there is a scene, line, or character that you thought 'I really like,' please tell the teacher." to the user terminal 100. Note that the control unit 201 may automatically replace the "I really like it" part of the advice with "I like it" and "I want to read it again" in response to a multiple-choice question that precedes the free writing. In addition, the control unit 201 may transmit advice such as "Why did you get 'excited'? Tell the teacher why you got 'excited' and what you got 'excited'about!" to the user terminal 100.

Furthermore, the control unit 201 may transmit feedback on the impressions written by the user to the user terminal 100. For example, the control unit 201 may transmit feedback according to the user's evaluation and impressions after reading a medium to the user terminal 100. For example, the control unit 201 may transmit conditional advice according to the evaluation (here, a general term for answers to multiple-choice questions) to the user terminal 100.
Furthermore, the control unit 201 may, for example, analyze free-form comments and transmit appropriate advice in response to the comments to the user terminal 100. The control unit 201 may analyze big data of past user comments in consideration of the level of engagement from the user, determine the difference with better comments (e.g., consider comments with high engagement to be good), and transmit advice in accordance with a previously set pattern to the user terminal 100.

FIG. 4 is a second diagram illustrating an example of a screen displayed on display unit 101 of user terminal 100. As shown in FIG.
4, the user terminal 100 displays the contents of the lesson proposed by the information processing device 200 (the proposal unit 207) in a chat format on the display unit 101. In this case, the user terminal 100 may display the option 102 on the display unit 101 when the lesson is conducted in response to the selection of the option 102.

Next, an embodiment (maintenance of motivation) in which the information processing device 200 maintains the motivation of the user when reading media will be described.

For example, the control unit 201 may perform a process that turns the act of a user reading a medium into a game. For example, the control unit 201 may transmit an item (e.g., an image of a badge) to the user terminal 100 when the user reads the medium. Also, for example, the control unit 201 may assign a score to a user when the user reads the medium and publish a ranking based on the scores.

For example, the control unit 201 may share the impressions submitted by a user when reading a medium within a group consisting of multiple users. In this case, the control unit 201 may determine the reading tendency of the user based on the user's evaluation, and form a group of users with the same level and the same preferences. Note that "the same level" may include similar levels such as "almost the same level" and "similar level". Also, "the same preferences" may include related preferences such as "almost the same preferences" and "similar preferences". Also, the control unit 201 may form a group of multiple users who have read the same medium.

FIG. 5 is a third diagram for explaining an example of a screen displayed on display unit 101 of user terminal 100. As shown in FIG.
When the control unit 201 (e.g., the notification unit 210) acquires the user's evaluation by the third acquisition unit 209, the control unit 201 (e.g., the notification unit 210) may acquire an image related to the first medium read by the user and transmit the image (image information) to the user terminal 100 so as to be displayed on the display unit 101 of the user terminal 100. The image related to the first medium may be an image related to the score described above and an image of the cover and title of the first medium. The image of the cover and title of the first medium may be stored in the first storage unit 222 or the second storage unit 223, or an image of the cover and title of the first medium stored in an external server (not shown) or the like may be acquired and used.
5, the user terminal 100 may display the score 103 acquired by the user on the display unit 101. In this case, the user terminal 100 may display the cover 104 and the title 105 of the medium that the user has read up to now on the display unit 101.

Next, an information processing method according to an embodiment will be described.
First, a processing method in which the information processing device 200 proposes a first medium to a user will be described.
FIG. 6 is a flowchart illustrating an information processing method according to an embodiment, which is a processing method in which the information processing device 200 suggests a first medium to a user.

In step ST101, the first setting unit 202 sets tags related to the content of the sentence for one or more components of the first sentence recorded on each of the multiple first media.

In step ST102, the second setting unit 203 sets the importance in the first sentence for the tag set in step ST101.

In step ST103, the third setting unit 204 sets the difficulty level of the first sentence.

In step ST104, the first storage unit 222 stores related information that associates the tag set in step ST101, the importance set in step ST102, and the difficulty level set in step ST103.

In step ST105, the first acquisition unit 205 acquires the tag and importance set for the second sentence recorded on the second medium read by the user. As an example, when information on the second medium read by the user terminal 100 is transmitted, the first acquisition unit 205 may acquire the tag and importance of the second medium based on the information on the second medium and the related information stored in the first storage unit 222.

In step ST106, the identification unit 206 identifies a first sentence that is similar to the second sentence based on the tag and importance related to the second medium acquired in step ST105 and the related information stored in the first storage unit 222 in step ST104, and identifies the first medium on which the first sentence is recorded.

In step ST107, the suggestion unit 207 suggests the first medium identified in step ST106 to the user (user terminal 100).

Next, a processing method in which the information processing device 200 suggests a first medium in accordance with a user's evaluation will be described.
FIG. 7 is a flowchart illustrating an information processing method according to an embodiment, in which the information processing device 200 suggests a first medium in accordance with a user's evaluation.

In step ST201, the second acquisition unit 208 acquires from the user terminal 100 the user's evaluation (evaluation information) of the first medium proposed in step ST107 shown in FIG. 6.

In step ST202, the third acquisition unit 209 acquires the user's evaluation based on the evaluation information acquired in step ST201.

In step ST203, the identification unit 206 identifies a first sentence corresponding to the user's evaluation based on the user's evaluation acquired in step ST202 and the related information stored in the first storage unit 222, and identifies a first medium on which the first sentence is recorded.

In step ST204, the suggestion unit 207 suggests the first medium identified in step ST203 to the user (user terminal 100).

In step ST205, the sharing unit 211 shares the evaluation information acquired in step ST201, i.e., the user evaluation acquired in step ST203, among multiple users. In this case, the sharing unit 211 may classify multiple users into multiple levels and share the evaluations among multiple users classified into the same (or nearly the same) level.

Next, a processing method in which the information processing device 200 acquires a user's evaluation will be described.
FIG. 8 is a flowchart illustrating an information processing method according to an embodiment, which is a processing method when the information processing device 200 acquires a user's evaluation.

In step ST301, the second acquisition unit 208 acquires the user's evaluation (evaluation information) for the first medium proposed in step ST107 shown in FIG. 6 from the user terminal 100. In this case, the third acquisition unit 209 may acquire the user's evaluation based on the evaluation information acquired by the second acquisition unit 208.

In step ST302, the notification unit 210 notifies the user terminal 100 of a question and an answer corresponding to the user's evaluation, based on the evaluation information (user's evaluation) acquired in step ST301 and the answer information stored in the second storage unit 223. In this case, the notification unit 210 may notify the user terminal 100 in a chat format.

Next, the effects of this embodiment will be described.
The information processing device 200 includes a first setting unit 202 that sets a tag related to the first medium, a second setting unit 203 that sets an importance level for the tag, a first memory unit 222 that stores related information associating the first medium, the tag, and the importance level, a first acquisition unit 205 that acquires the tag and importance level related to the second medium read by the user, an identification unit 206 that identifies a first sentence similar to the second sentence based on the tag and importance level for the second sentence acquired by the first acquisition unit 205 and the related information, and identifies the first medium on which the first sentence is recorded, and a proposal unit 207 that proposes the first medium identified by the identification unit 206 to the user terminal 100 used by the user.
The user can select a medium according to his/her preference and read the text recorded on that medium. Therefore, the information processing device 200 can estimate that a text (second text) of a genre and content preferred by the user is recorded on the second medium, and can recommend to the user a first medium similar to the second medium. In other words, the information processing device 200 can recommend a first medium more suitable for the user.
Furthermore, for example, when the user is a child, the information processing device 200 recommends a first medium (e.g., a book, etc.) similar to the second medium (e.g., a book, etc.) read by the child, so that even for a child who is not good at reading, the information processing device 200 can recommend a first medium of a genre and content that the child is interested in. This allows the information processing device 200 to increase the possibility that the child will read the first medium, and by repeatedly recommending and having the child read a plurality of first media, the information processing device 200 can make the child learn that reading media (e.g., books, etc.) is enjoyable. Furthermore, by repeatedly recommending the first medium to the child, the information processing device 200 can increase the child's motivation to read books.
In addition, since the information processing device 200 recommends the first medium to the user based on the tag and importance, for example, if the user reads "romance stories" as the content of the medium, the information processing device 200 can recommend to the user the first medium in which the content of "historical stories" and "romance stories" is described. This allows the information processing device 200 to expand the genres and contents of the media that the user reads, and to have the user have a wide range of interests.

The information processing device 200 may include a third setting unit 204 that sets a level of difficulty of the first sentence. In this case, the first storage unit 222 may store associated information that associates the first medium, a tag, an importance level, and a level of difficulty.
For example, if the user is a child, the level (difficulty) of reading a sentence varies depending on the user's age, etc. Therefore, the information processing device 200 can recommend to the user a first medium according to the user's reading level by setting the difficulty level of the first sentence.

The information processing device 200 may include a second acquisition unit 208 that acquires a user's evaluation (evaluation information) for the first medium proposed by the suggestion unit 207, and a third acquisition unit 209 that acquires an evaluation of the user when reading a sentence based on the evaluation information. In this case, the identification unit 206 may identify a first sentence according to the user's evaluation based on the user's evaluation and related information acquired by the third acquisition unit 209, and identify a first medium on which the first sentence is recorded.
When a user reads a medium, the user may like the contents of the medium. On the other hand, when a user reads a medium, the user may not like the contents of the medium. The information processing device 200 can, for example, acquire such user preferences (evaluations) and recommend a first medium according to the user preferences (evaluations).

The information processing device 200 may include a second memory unit 223 that stores answer information that associates a user's evaluation with a question and an answer to the user that correspond to the evaluation, and a notification unit 210 that, when the evaluation information is acquired by the second acquisition unit 208, notifies the user terminal 100 of the question and answer that correspond to the user's evaluation based on the evaluation information and the answer information.
That is, the information processing device 200 can notify the user terminal 100 of questions and answers according to the user's evaluation. As a result, the information processing device 200 can obtain a more accurate evaluation of the user by notifying the user of the questions and answers once or multiple times. Therefore, the information processing device 200 can recommend to the user a first medium that is more in line with the user's preferences (evaluation).

In the information processing device 200, the notification unit 210 may notify the user terminal 100 in a chat format.
This allows the information processing device 200 to easily communicate with the user terminal 100, for example, to obtain a user's evaluation and to notify a question and an answer according to the evaluation. In other words, the information processing device 200 can provide a system that is easy for users to use.

The information processing device 200 may include a sharing unit 211 that, when the second acquisition unit 208 acquires the evaluation information, enables a user's evaluation based on the evaluation information to be shared among a plurality of users.
That is, the information processing device 200 allows other users in the group to view the evaluations of one user. The information processing device 200 allows users in the group to view the evaluations of other users, which makes them want to read the media that the other users have read, and allows them to share the excitement they felt when reading the media of the other users. In this way, the information processing device 200 can make users want to read more media, and can increase the motivation of users to read media.

In the information processing device 200, the sharing unit 211 may classify a plurality of users into a plurality of levels based on the evaluation information, and enable evaluations based on the evaluation information to be shared among a plurality of users classified into the same level.
By grouping multiple users of the same level, the information processing device 200 can allow multiple users to share similar levels of excitement, and can further stimulate the desire to read media that other users have read.

In the information processing method, a computer executes the following steps: a first setting step of setting a tag related to a first medium, a second setting step of setting an importance for the tag, a storage step of storing related information associating the first medium, the tag, and the importance in a storage unit, an acquisition step of acquiring the tag and importance related to a second medium read by the user, an identification step of identifying a first sentence similar to the second sentence based on the tag and importance for the second sentence acquired by the acquisition step, and the related information, and identifying the first medium on which the first sentence is recorded, and a proposal step of proposing the first medium identified by the identification step to a user terminal 100 used by the user.
The user can select a medium according to his/her preference and read the text recorded on that medium. Therefore, the information processing method can estimate that a text (second text) of a genre and content preferred by the user is recorded on the second medium, and can recommend to the user a first medium similar to the second medium. In other words, the information processing method can recommend a first medium that is more suitable for the user.

The information processing program enables a computer to realize the following: a first setting function for setting a tag related to a first medium, a second setting function for setting an importance level for the tag, a storage function for storing related information associating the first medium, the tag, and the importance level for each of a plurality of first media, an acquisition function for acquiring the tag and importance level related to a second medium read by the user, a determination function for identifying a first sentence similar to the second sentence based on the tag and importance level for the second sentence acquired by the acquisition function, as well as the related information, and for identifying the first medium on which the first sentence is recorded, and a proposal function for proposing the first medium identified by the identification function to a user terminal 100 used by the user.
The user can select a medium according to his/her preference and read the text recorded on that medium. Therefore, the information processing program can estimate that a text (second text) of the genre and content preferred by the user is recorded on the second medium, and recommend to the user a first medium similar to the second medium. In other words, the information processing program can recommend a first medium that is more suitable for the user.

Each unit of the information processing device 200 described above may be realized as a function of a computer's arithmetic processing device, etc. That is, the first setting unit 202, the second setting unit 203, the third setting unit 204, the first acquisition unit 205, the identification unit 206, the proposal unit 207, the second acquisition unit 208, the third acquisition unit 209, the notification unit 210, and the sharing unit 211 of the information processing device 200 may be realized as a first setting function, a second setting function, a third setting function, a first acquisition function, an identification function, a proposal function, a second acquisition function, a third acquisition function, a notification function, and a sharing function, respectively, by the computer's arithmetic processing device, etc.
The information processing program can cause a computer to realize each of the above-mentioned functions. The information processing program may be recorded in a non-transitory computer-readable recording medium, such as an external memory or an optical disk.
Also, as described above, each unit of the information processing device 200 may be realized by a computer arithmetic processing device or the like. The arithmetic processing device or the like is configured by, for example, an integrated circuit or the like. Therefore, each unit of the information processing device 200 may be realized as a circuit constituting the arithmetic processing device or the like. That is, the first setting unit 202, the second setting unit 203, the third setting unit 204, the first acquisition unit 205, the identification unit 206, the proposal unit 207, the second acquisition unit 208, the third acquisition unit 209, the notification unit 210, and the sharing unit 211 of the information processing device 200 may be realized as a first setting circuit, a second setting circuit, a third setting circuit, a first acquisition circuit, a specification circuit, a proposal circuit, a second acquisition circuit, a third acquisition circuit, a notification circuit, and a shared circuit constituting the arithmetic processing device or the like of the computer.
The communication unit 221, the first storage unit 222, the second storage unit 223, and the display unit 224 of the information processing device 200 may be realized as a communication function, a first storage function, a second storage function, and a display function including the functions of an arithmetic processing device, for example. The communication unit 221, the first storage unit 222, the second storage unit 223, and the display unit 224 of the information processing device 200 may be realized as a communication circuit, a first storage circuit, a second storage circuit, and a display circuit by being configured by, for example, an integrated circuit, etc. The communication unit 221, the first storage unit 222, the second storage unit 223, and the display unit 224 of the information processing device 200 may be realized as a communication device, a first storage device, a second storage device, and a display device by being configured by, for example, a plurality of devices.

In the above embodiment, the information processing device 200 is configured to suggest media (e.g., books, magazines, newspapers, electronic publications, etc.) to be read when the user reads. However, the information processing device 200 of the present invention is not limited to the configuration of this example. That is, the information processing device 200 may be configured to provide text (first medium) suitable for each child when proposing text to be provided to each of multiple children in a school class, etc. In this case, the information processing device 200 may provide text (first medium) according to the learning level of each child, for example, text (first medium) that has the same content but is written at multiple levels, to the user child. In addition, the information processing device 200 may be used when recommending a medium (first medium) on which text is written to the user.

Furthermore, for example, the information processing device 200 may use an index corresponding to Japanese, such as the Lexile index, when setting the difficulty level of a medium. The index (Lexile index) is an index indicating, for example, "reading comprehension" and "difficulty level of a text". The information processing device 200 may use the Lexile index not only for the above-mentioned reading instruction (lesson), but also in the general education field and publishing.
In this case, the information processing device 200 may create a framework, apply the framework to a book, and use it in reading education accordingly. That is, the information processing device 200 may provide detailed reading instruction using the difficulty level determination by the framework, and use it in publishing a work based on the framework.
Furthermore, the information processing device 200 can be used as an educational infrastructure by applying the above-mentioned configuration to the entire text. For example, the information processing device 200 can be used as an educational infrastructure to create textbooks and articles according to the level of difficulty. Furthermore, for example, the information processing device 200 can be used to build a system that can measure reading comprehension in a way that can be used for the next study, rather than using existing tests that simply give a score and end there.
Furthermore, the information processing device 200 may be configured to measure the difficulty level not only from learning data in which a sentence and its difficulty level are paired, but also from feedback in the form of a user's evaluation.

In addition, the information processing device 200 can apply the tags set as described above to various things. For example, the information processing device 200 can analyze big data related to user evaluations and tags to measure what kind of story structure is popular with what kind of users, and use this when publishing a new medium. Also, for example, the information processing device 200 may obtain what level of difficulty and length of book medium should be prepared to maximize the user's growth, and use this when publishing a new medium accordingly. The information processing device 200 may also implement a program that calculates tags from text.

The information processing device 200 may also be used for writing education. For example, the information processing device 200 may provide writing education paired with reading education in Japanese language education, and may be used in the entrance examination market accordingly. For example, the information processing device 200 may utilize user evaluations (for example, impressions, etc.) for various services, etc. For example, the information processing device 200 may form a community of multiple users and be utilized for peer reviews by users within the community.

The information processing device 200 may also be used for lifelong learning. For example, the information processing device 200 may be used when putting a child to bed, reading media to a child, teaching a child to read, teaching a child the Japanese language necessary for a child's entrance exam, higher education (education about specialized books at the university and graduate school level), recurrent education, and learning in retirement. In other words, the information processing device 200 may be used for learning when users of all ages are learning all subjects.

The information processing device 200 may have a gamification function. For example, the information processing device 200 may have a badge function, a point system, and a quest function as the gamification function.
As a badge function, the information processing device 200 may award badges to the user (user terminal 100) based on the number of words read, reading time, number of books read, and the like, as well as experience points for each component of a book (tag information).
In addition, the information processing device 200 may use a points system to award points to the user (user terminal 100) based on all actions, such as when reading a medium, when giving an opinion about the medium, when recommending a medium to a friend, and when a friend reads the medium that the user recommended.
Furthermore, the information processing device 200 may allow the user to select a goal for this week from among a number of options as a quest function. In this case, the information processing device 200 may automatically generate the options in conjunction with the above-mentioned book selection, taking into consideration the reading situation of the user (e.g., a child or a student). The information processing device 200 may set an action with a friend as the goal of the user.

The information processing device 200 may display a calendar and a graph of the records of the medium that has been read. That is, the information processing device 200 may perform a display that visualizes various records. In this case, the information processing device 200 may display the goal that is set as described above.
Furthermore, the information processing device 200 may display a roadmap. For example, the information processing device 200 may perform a display that allows a comparison with the situations of past users and users with high friend affinity. Furthermore, the information processing device 200 may automatically generate a goal based on the comparison. The information processing device 200 may analyze data related to the user and set an optimal goal for increasing motivation.

The information processing device 200 may have a community function. The community function may be, for example, the friend function described above. For example, the information processing device 200 may enable a user to view a friend's profile and comments submitted by the friend when the friend becomes a friend. In this case, the information processing device 200 can find a book that the user and the friend have read in common, leading to a core experience of "This girl is reading the same book as me!".
The information processing device 200 may also allow the user to view the impressions submitted by friends in chronological order, like a timeline. In this case, the information processing device 200 may implement a function that allows the user to send reactions and comments to any impression, a function that allows the user to view other impressions of the medium starting from any impression, and a function that allows the impressions to be displayed in order of high engagement, taking into account the amount of reactions and comments. The information processing device 200 may display optimized impressions on the user terminal 100, taking into account friend affinity, which will be described later.

The information processing device 200 may have a friend adding function. For example, when a user finishes reading a medium, the information processing device 200 may have a friend adding function that allows the user to view other users' impressions of the medium in a list format and to become friends with other users who wrote the impressions by selecting any impressions. This allows the information processing device 200 to connect the user and friends with a common book that has been read, and to connect with other users who have written similar impressions (for example, users who answered "I want to read it again" about a certain medium, that is, users with similar sensibilities, can be connected). The information processing device 200 can control the display order of the impressions list by using friend affinity, etc., which will be described later.
Furthermore, when a medium is recommended to the user, the information processing device 200 may display friends who have read the medium in the past. In this case, the information processing device 200 can make the user feel like reading the recommended medium if everyone else is reading it.
The information processing device 200 can also recommend friend registration. The information processing device 200 can measure friend affinity from engagement such as the tendency of the medium the user is reading, the similarity of impressions and evaluations thereon, and the frequency of impressions submitted. In this case, the information processing device 200 performs an analysis at a tag information level indicating the components of the book, which is more detailed than an analysis based on the title of the medium. The information processing device 200 can also form a group community with high enthusiasm by clustering friends based on friend affinity. The information processing device 200 can also analyze the characteristics of the community and provide events that match there. The information processing device 200 may generate a starting point for a conversation, such as, for example, a topic about a specific medium and a question about a profile. The information processing device 200 can register a target user as a friend by the above-mentioned roadmap function.

The information processing device 200 may store a list of media that the user wants to read. Since the information processing device 200 is used in various situations to view reviews and encounter new media, it can pool media that the user finds interesting. The information processing device 200 may analyze and display the degree of recommendation of the pooled media using the book selection system described above. In this case, the information processing device 200 may register the media in the list based not only on the probability that the media matches the user's preferences and reading ability, but also on a perspective that takes growth into account.

The information processing device 200 can also recommend a medium to a user. The information processing device 200 may recommend a medium to a specific friend or an unspecified number of friends with a reason attached. In this case, the information processing device 200 may provide the reason for recommendation in the form of text, voice, or the like. The information processing device 200 may also have various recommendation functions that lower the hurdle for recommendations. When a user finishes reading a certain medium, the information processing device 200 may identify a friend from among the friends who is likely to like the medium and send a recommendation such as "Would you recommend this medium to that friend?". When a new friend is added, the information processing device 200 may identify a medium that is likely to be compatible with the friend from among the books the user has read, and send a recommendation such as "Would you recommend this book to that friend?". The information processing device 200 may notify the user who recommended the medium of the impressions submitted by the friend after reading the recommended medium.

The information processing device 200 may prepare various media. The information processing device 200 may deliver media suggested by the above-mentioned book selection system and media registered in the user's wish list. The information processing device 200 may store media in a warehouse of the company that owns the device and deliver the media in the warehouse. In this case, the information processing device 200 can circulate inventory by having users return media that they have finished reading. Furthermore, the information processing device 200 may estimate the planned shipping volume in advance and obtain the necessary inventory by linking with the book selection system. The information processing device 200 can also adjust the media suggested by the book selection system by calculating backwards from the inventory situation.
The information processing device 200 may enable matching of secondhand book transactions between users. In this case, the information processing device 200 may estimate supply and demand from the state of the book selection system and the registration status of the user's reading list. The information processing device 200 can realize optimal delivery, including the user's address information. In addition, the information processing device 200 may enable users to send direct letters (for example, handwritten impressions, etc.) to each other by matching users with high friend affinity.
The information processing device 200 may record a circulation history (footprint) of the medium when it is circulated as described above. When a new medium is recommended to the information processing device 200, the information processing device 200 may register a user who previously owned the medium as a friend.
The information processing device 200 may determine the options of media proposed by the book selection system by checking the book collection situation of the library nearest to the user. In this case, the information processing device 200 may cooperate with a library API.

1 Information processing system 100 User terminal 101 Display unit 200 Information processing device 201 Control unit 202 First setting unit 203 Second setting unit 204 Third setting unit 205 First acquisition unit 206 Identification unit 207 Proposal unit 208 Second acquisition unit 209 Third acquisition unit 210 Notification unit 211 Sharing unit 221 Communication unit 222 First storage unit 223 Second storage unit 224 Display unit

Claims (12)

a first setting unit that sets tags relating to the contents of a first sentence for one or more components of the first sentence recorded on each of a plurality of first media;
a second setting unit that sets a level of importance in the first sentence for the tag set by the first setting unit;
a first storage unit that stores, for each of a plurality of first media, association information that associates a first medium, a tag that is set for the first medium by the first setting unit, and an importance level that is set for the first medium by the second setting unit;
a first acquisition unit that acquires a tag and an importance level set to a second sentence that is recorded on a second medium and that is read by a user;
an identification unit that identifies a first sentence similar to the second sentence based on the tag and importance of the second sentence acquired by the first acquisition unit and the related information stored in the first storage unit, and that identifies a first medium on which the first sentence is recorded;
a suggestion unit that suggests the first medium identified by the identification unit to a user terminal used by a user;
An information processing device comprising: a third setting unit that sets a difficulty level of the first sentence;
The information processing device according to claim 1 , wherein the first storage unit further associates the related information stored in the first storage unit with a difficulty level set by the third setting unit for the first medium, and stores the related information for each of a plurality of first media. a second acquisition unit that acquires evaluation information regarding a user's evaluation of the first medium proposed by the suggestion unit;
a third acquisition unit that acquires an evaluation of a case where a user reads the second sentence based on the evaluation information acquired by the second acquisition unit;
The information processing device according to claim 1 or 2, wherein the identification unit identifies a first sentence corresponding to a user's evaluation based on the user's evaluation acquired by the third acquisition unit and related information stored in the first memory unit, and identifies the first medium on which the first sentence is recorded. a second storage unit configured to store answer information that associates an evaluation of the user when reading the second text with a question and an answer to the user corresponding to the evaluation;
a notification unit that, when the second acquisition unit acquires evaluation information, notifies the user terminal of a question and an answer corresponding to the evaluation included in the evaluation information based on the evaluation information and answer information stored in the second storage unit;
The information processing device according to claim 3 . The information processing apparatus according to claim 4 , wherein the notification unit performs notification between the user terminal and the information processing apparatus in a chat format. The information processing device according to claim 4 or 5, wherein when the notification unit acquires a user's evaluation by the third acquisition unit, the notification unit acquires an image related to the first medium read by the user and transmits the image to the user terminal so as to be displayed on a display unit of the user terminal. 7. The information processing apparatus according to claim 3, further comprising a sharing unit that, when the evaluation information is acquired by the second acquisition unit, enables evaluations based on the evaluation information to be shared among a plurality of users. The information processing device according to claim 7 , wherein the sharing unit classifies a plurality of users into a plurality of levels based on the evaluation information, and enables a plurality of users classified into the same level to share the evaluation based on the evaluation information. The information processing device according to claim 1 , wherein the suggestion unit, when acquiring a learning level of the user, suggests a first medium according to the learning level of the user. The information processing apparatus according to claim 2 , wherein the third setting unit sets the difficulty level of the first sentence by using a previously created index. The computer
a first setting step of setting tags relating to the contents of the first sentence for one or more components of the first sentence recorded on each of the plurality of first media;
a second setting step of setting an importance level in the first text for the tag set by the first setting step;
a storage step of storing, in a storage unit, association information that associates a first medium, a tag that is set for the first medium by the first setting step, and an importance level that is set for the first medium by the second setting step, for each of a plurality of first media;
An acquisition step of acquiring tags and importance levels set to the second text recorded on the second medium read by the user;
a step of identifying a first sentence similar to the second sentence based on the tag and importance of the second sentence acquired by the acquisition step and the related information stored in the storage unit, and identifying a first medium on which the first sentence is recorded;
a proposing step of proposing the first medium identified by the identifying step to a user terminal used by a user;
An information processing method for performing the above. On the computer,
a first setting function for setting tags relating to the contents of the first sentence for one or more components of the first sentence recorded on each of the plurality of first media;
a second setting function for setting an importance level in the first text for the tag set by the first setting function;
a storage function that stores, for each of a plurality of first media, association information that associates a first medium, a tag that is set for the first medium by the first setting function, and an importance that is set for the first medium by the second setting function;
An acquisition function for acquiring tags and importance levels set to the second text that is recorded on the second medium and read by the user;
a specification function for specifying a first sentence similar to the second sentence based on a tag and importance of the second sentence acquired by the acquisition function and related information stored in the storage function, and for specifying a first medium on which the first sentence is recorded;
a suggestion function that suggests the first medium identified by the identification function to a user terminal used by a user;
An information processing program that realizes this.

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