JP6813880B2 - Computer systems, methods, and computer programs for determining the suitability of users and content - Google Patents

Description

The present invention relates to a user and content compatibility determination.

In learning a foreign language, content such as manga, anime, movies, and novels may be used. Content such as manga, anime, movies, and novels is originally for entertainment purposes, so learners can learn a foreign language while enjoying these contents. Moreover, since the contents such as comics contain abundant lines, they are more suitable for learning spoken language than general textbooks for learning a foreign language.

In order to improve the effectiveness of learning a foreign language using content, it is important to select content that suits the user. Patent Document 1 discloses that the difficulty level of a foreign language sentence is determined in order to select a foreign language sentence having an appropriate difficulty level according to the learner's level.

Japanese Unexamined Patent Publication No. 2003-668228

However, the difficulty level may not be sufficient as a criterion for selecting content suitable for learning spoken language. For example, the use of less difficult children's content by adult beginners is not suitable for learning adult spoken language. Moreover, even if a business person uses content with many casual expressions, he / she cannot learn expressions that are useful in business.

Moreover, in learning a language such as Japanese in which there is a gender difference in spoken language, it may be necessary to select content that matches the learner's gender.

Therefore, new technical means for selecting more appropriate content are desired.

One aspect of the present invention is a computer system. In the embodiment, the computer system includes a processor that executes a conformity determination process between the content including the dialogue and the user, and a memory that stores speaker evaluation information about the speaker of the dialogue included in the content. The sex determination process acquires user information indicating the profile of the user, and determines the first suitability between the user and the content based on the user information and the speaker evaluation information.

Another aspect of the invention is the method. In an embodiment, the method comprises the processor determining the suitability of the user and the content based on the user information indicating the profile of the user and the speaker evaluation information stored in the memory. The evaluation information is evaluation information regarding the speaker of the dialogue included in the content.

Another aspect of the invention is a computer program. In the embodiment, the computer program causes the processor to execute the conformity determination process between the content including the dialogue and the user. The suitability determination process determines the suitability between the user and the content based on the user information indicating the profile of the user and the speaker evaluation information regarding the speaker of the dialogue included in the content. Including.

It is a block diagram of a computer system. It is a flowchart of conformity determination processing. It is a data structure diagram which shows the evaluation information of a content. It is a figure which shows an example of a cartoon line. It is an evaluation chart of dialogue. It is a data structure diagram of the corresponding database.

[1. Outline of Embodiment]

(1) The computer system according to the embodiment includes a processor and a memory. In the embodiment, the processor executes the conformity determination process between the content and the user. The processor executes, for example, a computer program for conformity determination processing. The computer program is stored in memory. Content is, for example, manga, anime, movies, novels. In embodiments, the content comprises dialogue. The dialogue may be in text format or voice format. The user is typically a foreign language learner, but may be a person other than the foreign language learner.

In an embodiment, the memory stores speaker evaluation information. The speaker evaluation information is information about the speaker of the dialogue included in the content. The speaker may be a character appearing in the content, may be a human being, or may be an animal, a plant, a robot, or a fictitious creature. The speaker evaluation information represents what kind of character the speaker is. The memory may be a device that stores information and can be read by a processor, and is, for example, a semiconductor memory, a magnetic memory, or an optical memory. The memory may be a secondary storage device or storage accessible by the processor over the network, such as cloud storage.

The conformity determination process includes acquiring user information. The user information indicates the profile of the user. A user's profile represents who the user is.

In the embodiment, the conformity determination process determines the first conformity between the user and the content based on the user information and the speaker evaluation information. By using the user information and the speaker evaluation information for the suitability determination, the suitability between the user and the content is determined from the viewpoint of the suitability between the user and the speaker of the dialogue.

(2) In the embodiment, the user information may include the first gender information indicating the gender of the user, and the speaker evaluation information may include the second gender information indicating the gender of the speaker. The determination of the first relevance can include the determination of the relevance between the first gender information and the second gender information. In this case, it is possible to determine the gender suitability of the user and the speaker. Gender information can indicate, for example, the difference between men and women. Gender information is not limited to gender differences, and may indicate, for example, LGBT or asexual gender. The determination of the relevance of the gender information may include, for example, a determination of whether or not the genders match, or may include a determination of gender relevance.

(3) In the embodiment, the user information may include the first occupation information indicating the occupation of the user, and the speaker evaluation information may include the second occupation information indicating the occupation of the speaker. The first suitability determination can include a suitability determination between the first occupational information and the second occupational information. In this case, it is possible to determine the suitability of the occupations of the user and the speaker. Occupational information can indicate, for example, the type of occupation. Occupational information is not limited to showing jobs that involve labor, and may indicate, for example, students, housewives, or unemployed. The determination of the relevance of occupational information may include, for example, a determination of whether or not the occupations match, or may include a determination of occupational relevance. Occupational relevance can be determined, for example, using an occupational database structured according to occupational similarity.

(4) In the embodiment, the user information may include the first age information indicating the age or age group of the user, and the speaker evaluation information may include the second age information indicating the age or age group of the speaker. .. The determination of the first suitability can include the determination of the suitability between the first age information and the second age information. In this case, the suitability of the age or age group of the user and the speaker can be determined. The determination of the suitability of the age information may include, for example, a determination of whether or not the ages or age groups match, or may include a determination of whether or not the ages or age groups are close to each other.

(5) In the embodiment, the user information may include the first situation information indicating the situation in which the user is placed, and the speaker evaluation information may include the second situation information indicating the situation of the scene in which the speaker appears. The determination of the first conformity can include the determination of the conformity between the first situation information and the second situation information. In this case, it is possible to determine the suitability between the situation of the user and the situation of the scene in which the speaker appears. The status information indicates the status such as time, place, and opportunity.

More specifically, the first situation information can indicate, for example, a user's activity time zone, a place where the user goes, and whether the user's conversation is casual or formal. The situation information can indicate the time zone of the scene in which the speaker appears, the location of the scene, and the case of whether the scene is casual or formal. The determination of the relevance of the situation information may include, for example, a determination of whether or not the situations (time, place, or case) match, or may include a determination of the relevance of the situation. The relevance of time, which is one of the situations, is determined by, for example, the proximity of time zones. Location relevance, which is one of the situations, can be determined using a location database structured according to the similarity of locations. The relevance of one of the situations can be determined using the database if it is structured according to the similarity of the cases.

(6) In the embodiment, the conformity determination process can include outputting information indicating the content recommended to the user based on the first conformity. The content recommended to the user based on the first suitability is the content in which the user and the speaker of the dialogue are matched, and is the content suitable for the user for learning the spoken language.

(7) In the embodiment, the user information can include level information indicating the language level of the user. The memory can store difficulty level information indicating the difficulty level of the content. The suitability determination process can determine the second suitability between the user and the content based on the level information and the difficulty level information. In this case, it is possible to determine the suitability between the user's language level and the difficulty level of the content.

(8) In the embodiment, the conformity determination process can output information indicating the content recommended to the user based on the first conformity and the second conformity. The content recommended to the user based on the first suitability and the second suitability is that the user and the speaker of the dialogue are matched, and the language level of the user and the difficulty level of the content are matched. Therefore, the content is more suitable for the user to learn spoken language.

(9) In the embodiment, the memory can store the corresponding data in which the first content in which the dialogue is composed of text and the second content in which the dialogue is composed of voice are associated with each other. One of the first content and the second content is the original work, and the other is the derivative work of the original work. Derivative works are, for example, anime or live-action films based on comics or novels. The difficulty level information can be information indicating the difficulty level of the dialogue included in the first content.

In the embodiment, the conformity determination process determines at least the second content corresponding to the first content selected based on the second conformity based on the corresponding data, and outputs information indicating the determined second content. Can include doing. In this case, while the dialogue outputs information indicating the second content composed of voice, the determination of the second suitability can be easily performed based on the difficulty level information of the first content in which the dialogue is composed of text. ..

(10) The method according to the embodiment includes the processor determining the compatibility between the user and the content based on the user information indicating the profile of the user and the speaker evaluation information stored in the memory. In the embodiment, the speaker evaluation information is evaluation information about the speaker of the dialogue included in the content.

(11) The computer program according to the embodiment causes the processor to execute the conformity determination process between the content including the dialogue and the user. The suitability determination process according to the embodiment includes determining the suitability between the user and the content based on the user information indicating the profile of the user and the speaker evaluation information regarding the speaker of the dialogue included in the content. .. The computer program is stored in a computer-readable storage medium (memory). The storage medium may be connected to a processor or may be portable.

[2. Content recommendation computer system]

Hereinafter, one of the embodiments of the present invention will be described in more detail with reference to the drawings. FIG. 1 shows a network system having the computer system 10 according to the embodiment. In FIG. 1, the computer system 10 is composed of a server computer (hereinafter, simply referred to as “server”) on a network 20 such as the Internet. The server 10 has a content recommendation function and a content sales function for the user.

The server 10 has a processor 120 and a memory 130. The processor 120 executes the conformity determination process 121. The processor 120 executes the computer program 140 recorded in the memory 130 in order to execute the conformity determination process 121 and the like. The computer program 140 includes a code for causing the processor 120 to execute the conformity determination process.

The memory 130 of the embodiment has a content database 131. The content database 131 stores electronic data for each of the plurality of contents. The electronic data of the content is, for example, for sale to a user. The electronic data for sale is transmitted to the user device that purchased the content. The user device is, for example, a user's terminal 30 or a cloud storage used by the user.

The memory 130 of the embodiment has an evaluation database 132. The evaluation database 132 has evaluation information for each of the plurality of contents included in the content database 131. The evaluation information is used to determine the suitability between the user and the content. Details of the evaluation database 132 will be described later.

The memory 130 of the embodiment has a corresponding database 133. The corresponding database 132 associates the first content with the second content. Details of the corresponding database 132 will be described later.

The server 10 can be accessed from the user terminal 30 via the network 20. The user terminal 30 is, for example, a personal computer, a smartphone, or a tablet owned by the user. The user terminal 30 has a processor and a memory. The application program 31 is stored in the memory of the user terminal 30. The application program causes the processor of the user terminal 30 to execute necessary processing. The process executed by the processor of the user terminal 30 includes, for example, information transmission / reception to / from the server 10, information display process to the user, information reception process from the user, and the like. The user terminal 30 may access the server 10 via a browser installed on the user terminal 30.

FIG. 2 shows the procedure of the suitability determination process 121 for determining the suitability between the user and the content. The conformity determination process 121 of FIG. 2 is performed by the server 10 to recommend the content to the user. In the following, the content recommended to the user by the conformity determination process 121 of FIG. 2 is assumed to be a Japanese cartoon as an example, and the user is assumed to be a learner of Japanese. Therefore, the server 10 recommends a manga suitable for a user who is learning Japanese.

In FIG. 2, the procedure executed by the server 10 is executed by the computer program for the server 10, and the procedure executed by the user terminal 30 is executed by the user application 31.

First, the user terminal 30 receives the input of the user information 50 from the user in step S11. The user terminal 30 transmits the received user information 50 to the server 10. The user information 50 indicates a user profile. The user information 50 represents what kind of person the user is. The user information 50 transmitted to the server 10 may be stored in advance in the user terminal 30. Further, the user information 50 transmitted to the server 10 may be stored in the cloud storage instead of the user terminal 30.

The user information 50 has user ID information 51. The user ID information 51 is information for identifying a user, and is, for example, a user's name or a user number.

The user information 50 includes gender information (first gender information) 52 indicating the gender of the user. Here, the first gender information 52 indicates the difference between men and women.

The user information 50 has occupation information (first occupation information) 53 indicating the occupation of the user. Here, the occupation information shall indicate the types of occupations such as elementary school students, junior high school students, high school students, university students, office workers, civil servants, unemployed, and housewives.

The user information 50 has age information (first age information) 54 indicating the age or age group of the user. Here, the age information shall indicate the age.

The user information 50 has location information (first location information) 55 indicating a location selected by the user. The selected location is, for example, selected as a location where a user who is a learner of Japanese is currently using Japanese or will use it in the future. The location chosen is, for example, a school, company, restaurant, store, train station.

The user information 50 has time information (first time information) 56 indicating a user's activity time zone. The user's activity time zone is the main time zone in which the user is active and often talks with others. The activity time zone of the user may be represented by the time such as 9:00 to 17:00, or may be represented by dividing the day into about 2 to 5 types such as morning, noon, and night. Is also good.

In the embodiment, the place information 55 and the time information 56 are also situation information (first situation information) indicating a situation in which the user is placed when the user speaks Japanese.

The user information 50 has level information 57 indicating the language level of the user. Here, the level information 57 indicates only whether the Japanese level is high or low for the sake of simplicity. For more detailed leveling, for example, the language level is 5 levels N1, N2, N3, which are certified by the Japanese Language Proficiency Test (sponsored by the Japan Foundation, Japan Educational Exchanges and Services Association). N4 and N5 can be used. N1 has the highest difficulty level and N5 has the lowest difficulty level.

The server 10 acquires the user information 50 via the network in step S12. The server 10 makes the first conformity determination in step S13 based on the user information 50. The first suitability determination determines the suitability between the user and the content from the viewpoint of the suitability between the user and the speaker (character) appearing in the content. By performing the first suitability determination of the embodiment, it is possible to select a manga in which a speaker (character) suitable for the user's learning Japanese appears.

The first conformity determination is performed based on the user information 50 and the evaluation information 100 of each content stored in the evaluation database 132. As shown in FIG. 3, the evaluation database 132 has a plurality of evaluation information 100 corresponding to a plurality of contents. Each evaluation information 100 has a plurality of text information 101, 102, 103, 104 divided for each of a plurality of texts included in one content (manga). Here, the text included in the manga is the dialogue in the balloon, and the text in one balloon is treated as one text, but the range treated as one text is not particularly limited. The text that is the target of the text information may be the text written outside the balloon. The text written outside the balloon is, for example, a notation of a sound effect or a descriptive text.

Each text information 101, 102, 103, 104 has a text ID (line ID) 61. The text ID 61 is an identifier of a plurality of texts (lines) included in the manga.

Each text information 101, 102, 103, 104 has text appearance position information 62. The text appearance position information 62 is information indicating a position where a text (line) appears in a manga. The text appearance position information 62 may be, for example, a frame ID indicating the position of the page and frame on which the text appears.

Each text information 101, 102, 103, 104 has a character string data 63 of a text (line). In FIG. 3, the text information 101 having the text ID = 10 is character string data representing the dialogue in the balloon included in the cartoon frame P1 shown in FIG. The text information 102 in which the text ID = 20 is character string data representing the dialogue in the balloon included in the cartoon frame P2 shown in FIG. The text information 103 in which the text ID = 30 is character string data representing the dialogue in the balloon included in the cartoon frame P3 shown in FIG. The text information 104 in which the text ID = 40 is character string data representing the dialogue in the balloon included in the cartoon frame P4 shown in FIG.

Each of the text information 101, 102, 103, 104 has a difficulty level information 64 indicating the difficulty level of the text (line). The difficulty level information 64 is used to determine the suitability between the text (line) and the language level of the user. Here, the difficulty level information 64 indicates only whether the difficulty level is high or low for the sake of simplification. Here, the difficulty level of the text (line) is set based on the difficulty level of the words / expressions included in the text (line).

For example, the line of text information 101 (corresponding to frame P1 in Fig. 4) "Yeah, bruise the whole body? If it hurts, I'll die" (quoted from Shinpei Ito "Haruka Refrain") is a difficult word " The difficulty level information 64 is set to "high" because it includes "whole body bruise" and the highly difficult expression "tsutsuno".

The text information 102 (corresponding to frame P2 in Fig. 4) "Oops, it's late! Let's take a shortcut" (quoted from Shinpei Ito's "Haruka Refrain") is a low-difficult word "late", "shortcut", and difficulty. The difficulty level information 64 is set to "low" because it includes low-level expressions "-da" and "-(yo) u".

The text information 103 (corresponding to frame P3 in Fig. 4) "Why do you want the other person to hear you?" (Quoted from "Haruka Refrain" by Shimpei Ito) is a difficult expression "Why intentionally" "~ eru". The difficulty level information 64 is set to "high" because it includes "I say so".

The line "Call me later" (quoted from Shinpei Ito "Haruka Refrain") in the text information 104 (corresponding to frame P4 in Fig. 4) includes the less difficult word "telephone" and the less difficult expression "~". The difficulty level information 64 is set to "low" because it includes "".

In the case of more detailed division of difficulty, the difficulty information may indicate a value corresponding to five levels N1, N2, N3, N4, N5 in the above-mentioned Japanese Language Proficiency Test. In this case, the difficulty level of each text (line) is evaluated based on the words, expressions and grammar included in each test range of each level N1, N2, N3, N4, N5, and the evaluation result is the difficulty level information. It is set as 64.

Each text information 101, 102, 103, 104 has speaker evaluation information 65. The speaker evaluation information 65 is information about the speaker of the dialogue. The speaker evaluation information 65 is used to determine the suitability between the user and the speaker of the dialogue. The suitability between the user and the speaker is determined by the information 52, 53, 54, 55, 56, 57 included in the user information 50 and the information 651,652,655,654,655 included in the evaluation information 65. It is done by comparison with. The text information related to the text other than the dialogue does not have to have the speaker evaluation information 653.

The speaker evaluation information 65 has a speaker's gender information (second gender information) 651. The gender information 651 is used to determine the suitability between the user's gender and the speaker's gender. Here, the second gender information 651 indicates the difference between men and women. For example, the gender information 651 of the text information 101 and 102 (corresponding to the frames P1 and P2 in FIG. 4) indicates "male", respectively. The gender information 651 of the text information 103 and 104 (corresponding to the frames P3 and P4 of FIG. 4) indicates "female", respectively.

The speaker evaluation information 65 has occupation information (second occupation information) 652 indicating the occupation of the speaker. The occupation information 652 is used to determine the suitability between the occupation of the user and the occupation of the speaker. Here, the occupation information shall indicate the types of occupations such as elementary school students, junior high school students, high school students, university students, office workers, civil servants, unemployed, and housewives. For example, the occupational information 652 of the text information 101, 102, 103, 104 (corresponding to the frames P1, P2, P3, P4 in FIG. 4) indicates "high school student", respectively.

The speaker evaluation information 65 has age information (second age information) 653 indicating the age or age group of the speaker. The age information 653 is used to determine the suitability between the age of the user and the age or age of the speaker. Here, the age information 653 is assumed to indicate an age group. For example, the age information 653 of the text information 101, 102, 103, 104 (corresponding to the frames P1, P2, P3, P4 in FIG. 4) indicates "teens", respectively.

The speaker evaluation information 65 has location information (second location information) 654 indicating the location of the scene in which the speaker who originated the dialogue appears. The location information 654 is used to determine the suitability between the location selected by the user and the location of the scene. The location of the scene is, for example, a school, a company, a restaurant, a store, or a train station. For example, the location information 654 of the text information 101 (corresponding to the frame P1 of FIG. 4) indicates "home (home)". The location information 654 of the text information 102 (corresponding to the frame P2 in FIG. 4) indicates "on the road (school road)". The location information 654 of the text information 103 (corresponding to the frame P3 of FIG. 4) indicates "home (home)". The location information 654 of the text information 104 (corresponding to the frame P4 of FIG. 4) indicates a “school corridor”.

The speaker evaluation information 65 has time information (second time information) 655 indicating a time zone of a scene in which the speaker who uttered the dialogue appears. The time information 655 is used to determine the suitability between the user's activity time zone and the scene time zone. The time zone of the scene may be represented by the time such as 9:00 to 17:00, or may be represented by dividing the day into about 2 to 5 types such as morning, noon, and night. good. For example, the time information 655 of the text information 101 (corresponding to the frame P1 of FIG. 4) indicates "night (before going to bed)". The time information 655 of the text information 102 (corresponding to the frame P2 of FIG. 4) indicates “morning (at the time of going to school)”. The time information 655 of the text information 103 (corresponding to the frame P3 of FIG. 4) indicates "night (after dinner)". The time information 654 of the text information 104 (corresponding to the frame P4 of FIG. 4) indicates "evening (when leaving school)".

In the embodiment, the place information 654 and the time information 655 are also situation information (second situation information) indicating the situation of the scene in which the speaker appears.

Returning to FIG. 2, in the first conformity determination of the embodiment, the plurality of information 52, 53, 54, 55, 56 included in the user information 50 and the plurality of information 651, 652 included in the speaker evaluation information 653 are determined. It is performed based on 655,654,655. In the embodiment, since the speaker evaluation information 65 is set for each of the plurality of lines included in the content, the compatibility between the user information 50 and the speaker evaluation information 65 is determined for each line.

Hereinafter, an example of determining the compatibility between the user information 50 and the speaker evaluation information 65 for each line will be described. Here, in the user information 50, the first gender information 52 indicates "female", the first occupation information 53 indicates "high school student", the first age information 54 indicates "16 years old", and the first place information 55. Indicates "school" and the first hour information indicates "daytime (morning to evening)".

In the determination of the compatibility between the user information 50 and the speaker evaluation information 65, the compatibility of each of the following 1) to 5) is determined.
1) Gender reassignment of the first gender information 52 and the second gender information 651,
2) Occupational relevance between the first occupational information 53 and the second occupational information 652,
3) Age compatibility between the first age information 54 and the second age information 653,
4) Location compatibility between the first location information 55 and the second location information 654 (first situation compatibility),
5) Time compatibility between the first time information 56 and the second time information 655 (second situation compatibility)

In the embodiment, the goodness of fit is calculated by each goodness-of-fit determination. The goodness of fit is, for example, a value from 0 to 1, where 1 is the most suitable (high correlation) and 0 is not at all (low correlation). The goodness of fit may take a value between 0 and 1.

When the first gender information 52 indicates "female", the speakers of the text information 101 and 102 (corresponding to frames P1 and P2 in FIG. 4) are "male" and do not match, so that the text information 101 and 102 For each of the lines shown, the degree of gender reassignment calculated by the sex reassignment surgery is 0, indicating that the lines are not compatible. On the other hand, since the speakers of the text information 103 and 104 (corresponding to the frames P3 and P4 in FIG. 4) are "female" and match, each of the lines indicated by the text information 103 and 104 is calculated by the sex reassignment surgery. The sex reassignment degree to be performed is 1, indicating that the person is compatible.

When the first occupation information 53 indicates "high school student", the speakers of the text information 101, 102, 103, 104 (corresponding to frames P1, P2, P3, P4 in FIG. 4) are "high school students" and are in agreement. Therefore, the degree of occupational suitability calculated by the occupational suitability determination is 1 for each of the lines indicated by the text information 101, 102, 103, and 104, indicating that the text information is conforming.

When the first age information 54 indicates "16 years old", it means that the speaker age group "teens" of the text information 101, 102, 103, 104 (corresponding to frames P1, P2, P3, P4 in FIG. 4). Since they match, the age suitability calculated by the age suitability determination is 1 for each of the lines indicated by the text information 101, 102, 103, and 104, indicating that they are conforming.

When the first place information 55 indicates "school", the scene in which the speaker of the text information 101, 103 (corresponding to frames P1 and P3 in FIG. 4) appears is "home (home)", and the relevance is Since it is low, the goodness of fit calculated by the goodness-of-fit determination for each of the lines indicated by the text information 101 and 103 shows a relatively low value, for example. The scene in which the speaker of the text information 102 (corresponding to frame P2 in FIG. 4) appears is "on the road (school road)", and since some relevance is recognized, the place conformity calculated by the place suitability judgment The degree indicates, for example, a medium value. Since the scene in which the speaker of the text information 102 (corresponding to frame P2 in FIG. 4) appears is the "school corridor" and matches, the goodness of fit calculated by the goodness of fit judgment is 1. , Indicates conformity.

When the first time information 56 indicates "daytime (morning to evening)", the time zone in which the speaker of the text information 101, 103 (corresponding to frames P1 and P3 in FIG. 4) appears is "night". Since they do not match, the time suitability calculated by the time suitability determination is 0 for each of the lines indicated by the text information 101 and 103, indicating that they do not match. On the other hand, the time when the speaker of the text information 102, 104 (corresponding to the frames P2 and P4 in FIG. 4) appears is "morning" or "evening", and since they match, the text information 102, 104 indicates. For each of the lines, the place suitability calculated by the place suitability judgment is 1, indicating that the lines are fit.

In the first goodness-of-fit determination of the embodiment, for example, the average value of the five goodnesses of fit obtained as a result of the above five goodness-of-fit determinations is calculated as the first goodness of fit between the user and the speaker of each dialogue. The first goodness of fit is calculated, for example, for all lines contained in one content. The averaging operation for calculating the first goodness of fit may be a simple averaging operation or a weighted averaging operation.

For example, when a high weight is given to the goodness of fit of gender information, the gender of each line of text information 101 and 102 (corresponding to frames P1 and P2 in FIG. 4) differs between the user and the speaker. , The first goodness of fit becomes low. On the other hand, for each of the lines of the text information 103 and 104 (corresponding to the frames P3 and P4 of FIG. 4), the gender is the same between the user and the speaker, so that the first goodness of fit is high (see FIG. 5).

As shown in FIG. 2, the server 10 of the embodiment makes a second suitability determination in step S14 based on the user information 50 in addition to the first suitability determination in step S13. It should be noted that either the execution of the first conformity determination or the execution of the second conformity determination may come first.

The second suitability determination determines the suitability between the user and the content from the viewpoint of the suitability between the language level of the user and the difficulty level of the language included in the content. By performing the second suitability determination of the embodiment, it is possible to select a manga containing a text (line) of a difficulty level suitable for the Japanese level of the user.

The second suitability determination (difficulty level suitability determination) of the embodiment includes level information 57 included in the user information 50, difficulty level information 64 included in the evaluation information 100 of each content stored in the evaluation database 132, and the like. It is done based on. In the embodiment, since the difficulty level information 64 is set for each of a plurality of lines included in the content, the compatibility between the level information 57 and the difficulty level information 64 is determined for each text (texts other than lines or lines). It is judged.

Hereinafter, an example of determining the suitability (second goodness of fit) between the level information 57 and the difficulty level information 64 for each line will be described.

Here, the second goodness of fit is, for example, a value from 0 to 1, where 1 is the most suitable (high correlation) and 0 is not at all (low correlation). The goodness of fit may take a value between 0 and 1. Further, in the user information 50, the level information 57 is assumed to indicate "low".

When the level information 57 indicates "low", the difficulty levels of the lines of the text information 101 and 103 (corresponding to frames P1 and P3 in FIG. 4) are "high" and do not match, so that the text information 101 and 103 For each of the lines shown, the second goodness of fit calculated by the difficulty suitability determination is 0, indicating a low goodness of fit (see FIG. 5). On the other hand, since the difficulty levels of the lines of the text information 102 and 104 (corresponding to the frames P2 and P4 of FIG. 4) are "low" and match, the difficulty level suitability of each of the lines indicated by the text information 102 and 104 is suitable. The second goodness of fit calculated by the determination is 1, indicating a high goodness of fit (see FIG. 5).

As shown in FIG. 5, each line can be evaluated from both the viewpoints of the suitability between the user and the speaker and the suitability of the difficulty level by the first goodness of fit and the second goodness of fit. For example, the lines of frames P2 and P4 in FIG. 4 are both low in difficulty and suitable for users with a low language level, but from the viewpoint of compatibility between the user and the speaker, the lines of frame P4 It fits better than the lines of Koma P2.

Therefore, when the goodness of fit between the user and the dialogue is calculated by combining the first goodness of fit and the second goodness of fit, the goodness of fit of the frame P4 is the highest, the goodness of fit of the frame P1 is the lowest, and the frame P2. , The goodness of fit of P3 is an intermediate value. As described above, in the present embodiment, the compatibility between the user and the dialogue can be evaluated in more detail by evaluating from the viewpoint of the compatibility between the user and the speaker in addition to the compatibility of the difficulty level. ..

The server 10 calculates the goodness of fit between the user and each line (line goodness of fit) based on the first goodness of fit and the second goodness of fit of each line. The line goodness of fit is obtained as, for example, the average value of the first goodness of fit and the second goodness of fit. The average may be a simple average or a weighted average. In the embodiment, the goodness of fit of the lines is calculated for all the lines included in the content A.

The server 10 calculates the goodness of fit between the user and the content A (content goodness of fit) based on the goodness of fit of the plurality of lines included in the content A. The content goodness of fit is calculated as, for example, the average value of the dialogue goodness of fit. Since the content goodness of fit of the embodiment is based on the first goodness of fit, the higher the first goodness of fit of the user and the speaker, the higher the content goodness of fit. Moreover, since the content conformity of the embodiment is also based on the second conformity, the higher both the first conformity and the second conformity, the higher the content suitability. That is, the more the user and the speaker match and the difficulty level matches the user, the higher the content suitability.

The server 10 calculates the content suitability for a plurality of contents included in the evaluation database 132.

The server 10 determines one or a plurality of contents having a high degree of content suitability (step S15), and outputs information (content information) indicating the contents (step S16). Content with a high degree of content suitability is recommended to the user by the server 10. For recommendation to the user, the output content information is transmitted to the user terminal 30 or the cloud storage used by the user via the network. The user terminal 30 displays the transmitted content information on the display of the user terminal 30 (step S17). As a result, the user can grasp the content recommended by the server 10.

The user can purchase the content recommended by the server 10. The server 10 executes a transaction for selling the content to the user based on the user's content purchase operation (step S18). The user can use the purchased content, for example, for efficient learning of a foreign language.

[3. Modification example]

A modified example using the corresponding database 133 shown in FIGS. 1 and 6 will be described. The above-mentioned explanations are used for points that are not particularly explained with respect to the modified example.

As shown in FIG. 6, in the corresponding database 133, the second content 202 is associated with each of the plurality of first contents 201. The first content 201 is content whose lines are composed of text, such as a cartoon or a novel. The second content 202 is content in which dialogue is composed of voice, such as an animation or a movie.

Here, each second content 202 is a derivative work whose original work is the corresponding first content 201.

In the modified example, the content registered in the evaluation database 132 is only the first content 201, and the second content 202 is not registered. Since the lines of the first content 201 are composed of text, it is easy to construct the evaluation information 100. However, in the second content 202, the dialogue is voice and does not necessarily have the text information of the dialogue. Therefore, it is not easy to construct the evaluation information 100 from the second content 202. However, in the modified example, since the evaluation information of the second content 202 is not required, the construction of the evaluation information 100 of the second content 202 can be avoided.

In the modified example, since the evaluation information 100 is for the first content 201, the first goodness of fit and the second goodness of fit are calculated only for the first content 201. In the modified example, the server 10 selects one or a plurality of first contents having a high degree of content suitability in step S15.

In the modified example, the server 10 not only outputs the content information indicating the selected first content (step S16), but also refers to the corresponding database 133 to determine the second content corresponding to the selected first content. Then, the content information indicating the determined second content is output. Therefore, not only the information of the first content but also the information of the second content is transmitted to the user terminal 30. That is, the server 10 can recommend not only the first content which is the original work but also the second content which is the secondary work to the user.

The second content, which is a derivative work, often contains the same lines as the first content, which is the original work, and the second content corresponding to the selected first content is also selected. Like the first content, it is expected to be suitable for the user. Moreover, since the second content has voice as the dialogue, it is suitable for learning spoken words including how to pronounce them. Therefore, the user can efficiently learn the spoken language by using the recommended second content.

[4. Addendum]

The present invention is not limited to the above embodiment, and various modifications are possible. For example, the conformity determination process 12 may be executed by the application 31 of the user terminal.

10 Server 20 Network 30 User terminal 50 User information 51 User ID
52 1st gender information 53 1st occupational information 54 1st age information 55 1st place information (1st situation information)
56 1st time information (1st situation information)
57 Level Information 61 Text ID
62 Text appearance position information 63 Text information 64 Difficulty information 65 Speaker evaluation information 100 Evaluation information 101 Text information 102 Text information 103 Text information 104 Text information 120 Processor 121 Conformity judgment processing 130 Memory 131 Content database 132 Evaluation database 133 Corresponding database 140 Computer program 651 Second gender information 652 Second occupation information 653 Second age information 654 Second place information (second situation information)
655 2nd time information (2nd situation information)

Claims (13)

A processor that executes conformity determination processing between content containing multiple lines and the user,
A memory that stores speaker evaluation information about the speaker of the dialogue included in the content for each of the plurality of dialogue , and
With
The conformity determination process is
Acquire user information indicating the profile of the user,
A computer system including determining a first suitability between the user and the content based on the user information and the speaker evaluation information for each of the plurality of lines . The user information includes a first gender information indicating the gender of the user.
The speaker evaluation information includes a second gender information indicating the gender of the speaker.
The computer system according to claim 1, wherein the determination of the first suitability includes a determination of compatibility between the first gender information and the second gender information. The user information includes a first occupation information indicating the occupation of the user.
The speaker evaluation information includes a second occupation information indicating the occupation of the speaker.
The computer system according to claim 1 or 2, wherein the determination of the first conformity includes a determination of conformity between the first occupation information and the second occupation information. The user information includes a first age information indicating the age or age group of the user.
The speaker evaluation information includes a second age information indicating the age or age group of the speaker.
The computer system according to any one of claims 1 to 3, wherein the determination of the first suitability includes the determination of the compatibility between the first age information and the second age information. The user information includes a first situation information indicating a situation in which the user is placed.
The speaker evaluation information includes a second situation information indicating the situation of the scene in which the speaker appears.
The computer system according to any one of claims 1 to 4, wherein the determination of the first conformity includes the determination of the conformity between the first situation information and the second situation information. The computer system according to any one of claims 1 to 5, wherein the conformity determination process further includes outputting information indicating content recommended to the user based on the first conformity. A processor that executes conformity determination processing between content containing dialogue and the user,
A memory for storing speaker evaluation information about the speaker of the dialogue included in the content, and
With
The conformity determination process is
Acquire user information indicating the profile of the user,
Based on the user information and the speaker evaluation information, the first compatibility between the user and the content is determined.
Including that
The user information further includes level information indicating the language level of the user.
The memory further stores difficulty information indicating the difficulty of the content.
The suitability determination process further includes determining a second suitability between the user and the content based on the level information and the difficulty level information.
Computer system. The computer system according to claim 7, wherein the conformity determination process further includes outputting information indicating content recommended to the user based on the first conformity and the second conformity. The memory further stores the corresponding data in which the first content in which the dialogue is composed of text and the second content in which the dialogue is composed of voice are associated with each other.
One of the first content and the second content is an original work, and the other is a derivative work of the original work.
The difficulty level information is information indicating the difficulty level of the dialogue included in the first content.
The conformity determination process is
A second content corresponding to at least the first content selected based on the second suitability is determined based on the corresponding data.
The computer system according to claim 7, further comprising outputting information indicating the determined second content. The processor includes determining the compatibility of the user with the content including a plurality of lines based on the user information indicating the user's profile and the speaker evaluation information stored in the memory.
The speaker evaluation information is evaluation information for each of the plurality of lines regarding the speaker of the lines included in the content. A computer program for causing a processor to execute a conformity determination process between a user and content including a plurality of lines.
The conformity determination process matches the user with the content based on the user information indicating the profile of the user and the speaker evaluation information for each of the plurality of lines regarding the speaker of the dialogue included in the content. A computer program that includes determining gender. The processor determines the first compatibility between the user and the content based on the user information indicating the user's profile and the speaker evaluation information stored in the memory, and
The processor determines a second suitability between the user and the content based on the level information and the difficulty information stored in the memory.
Including
The speaker evaluation information is evaluation information about the speaker of the dialogue included in the content, and is
The level information is information indicating the language level of the user.
The difficulty level information is information indicating the difficulty level of the content.
Method. Based on the user information indicating the user's profile and the speaker evaluation information stored in the memory, the first suitability between the user and the content is determined, and
To determine the second suitability between the user and the content based on the level information and the difficulty level information stored in the memory.
Is a computer program that causes the processor to execute
The speaker evaluation information is evaluation information about the speaker of the dialogue included in the content, and is
The level information is information indicating the language level of the user.
The difficulty level information is information indicating the difficulty level of the content.
Computer program.