Display control system, display control method, and information storage medium

1 . A display control system, comprising at least one processor, the at least one processor being configured to:

acquire user characteristics information about characteristics of a user based on a user review, which is a review posted by the user, and a learning model in which learning has been executed based on a training review, the training review being a review for training;

wherein the learning is executed based on a cluster to which a partial training review belongs, the partial training review being a part of the training review,

wherein the at least one processor is configured to acquire, based on the user review and the learning model, the user characteristics information about the cluster that depends on the user review;

select, based on the user characteristics information, from among text contents which are contents including a letter, partial text contents which are a part of the text contents, without requiring text input from the user; and

display the text contents on a display in a manner that makes the partial text contents visually distinguishable.

2 . The display control system according to claim 1 , wherein the at least one processor is configured to:

execute clustering based on the partial training review;

create, based on a result of executing the clustering, training data to be learned by the learning model; and

cause the learning model to learn the training data.

3 . The display control system according to claim 2 , wherein the at least one processor is configured to:

execute a feeling analysis on the training review; and

execute the clustering based on the partial training review and a result of executing the feeling analysis.

4 . The display control system according to claim 2 ,

wherein the clustering comprises grouping pluralities of partial training reviews with a similar meaning; and

wherein the clustering comprises executing a morphological analysis on the training review to extract a word or a phrase as the user characteristic information.

5 . The display control system according to claim 1 , wherein the at least one processor is configured to:

execute clustering based on partial training contents, the partial training contents being a part of training contents, the training contents being text contents for which the training review is posted;

create, based on a result of executing the clustering, training data to be learned by the learning model; and

cause the learning model to learn the training data.

6 . The display control system according to claim 1 , wherein the at least one processor is configured to:

acquire a combined user expression by combining user review expressions, which are embedded expressions of a plurality of user reviews, each of the plurality of user reviews being the user review; and

acquire the user characteristics information based on the combined user expression and the learning model.

7 . The display control system according to claim 1 , wherein the at least one processor is configured to:

acquire a combined user expression by combining a user review expression, which is an embedded expression of the user review, and a text contents expression, which is an embedded expression of the text contents; and

acquire the user characteristics information based on the combined user expression and the learning model.

8 . The display control system according to claim 1 , wherein the learning is executed based on the training review and training contents, the training contents being text contents for which the training review is posted.

9 . The display control system according to claim 8 , wherein the learning is executed based on a combined training expression in which a training review expression and a training contents expression are combined, the training review expression being an embedded expression of the training review, the training contents expression being an embedded expression of the training contents.

10 . The display control system according to claim 9 , wherein the learning is executed based on the combined training expression in which a plurality of training review expressions and the training contents expression are combined, each of the plurality of training review expressions being the training review expression.

11 . The display control system according to claim 9 , wherein the learning is executed based on the combined training expression in which the training review expression and a plurality of training contents expressions are combined, each of the plurality of training contents expressions being the training contents expression.

12 . The display control system according to claim 11 , wherein the plurality of training contents expressions are embedded expressions related to items different from one another out of the training contents.

13 . The display control system according to claim 1 , wherein the training review is a relatively new review out of a plurality of reviews posted in a past.

14 . The display control system according to claim 1 , wherein the training review is a review posted by a poster who has posted as many reviews as a threshold value or more.

15 . The display control system according to claim 1 , wherein the at least one processor is configured to acquire, as the user characteristics information, out of partial user reviews which are parts of the user review, a partial user review that is relatively high in appearance frequency.

16 . The display control system according to claim 15 , wherein the at least one processor is configured to;

execute a feeling analysis on the user review; and

acquire the user characteristics information based on a result of executing the feeling analysis.

17 . The display control system according to claim 1 , wherein the training review is used to create a plurality of partial training reviews.

18 . A display control method, comprising:

acquiring user characteristics information about characteristics of a user based on a user review, which is a review posted by the user, and a learning model in which learning has been executed based on a training review, the training review being a review for training;

wherein the learning is executed based on a cluster to which a partial training review belongs, the partial training review being a part of the training review,

acquiring, based on the user review and the learning model, the user characteristics information about the cluster that depends on the user review;

selecting, based on the user characteristics information, from among text contents which are contents including a letter, partial text contents which are a part of the text contents, without requiring text input from the user; and

displaying the text contents on a display in a manner that makes the partial text contents visually distinguishable.

19 . A non-transitory information storage medium having stored thereon a program for causing a computer to:

acquire user characteristics information about characteristics of a user based on a user review, which is a review posted by the user, and a learning model in which learning has been executed based on a training review, the training review being a review for training;

wherein the learning is executed based on a cluster to which a partial training review belongs, the partial training review being a part of the training review,

acquire, based on the user review and the learning model, the user characteristics information about the cluster that depends on the user review;

select, based on the user characteristics information, from among text contents which are contents including a letter, partial text contents which are a part of the text contents, without requiring text input from the user; and

display the text contents on a display in a manner that makes the partial text contents visually distinguishable.