Abstract: An information processing device (10) includes a style selection unit (11) that selects style information of a user based on user information including at least one of attribute information and behavior information of the user; a description generation unit (12) that generates a recommendation description based on a predetermined recommendation basis regarding recommended content and the style information selected by the style selection unit (11); and a presentation unit (13) that presents the recommendation description to the user generated by the description generation unit (12).

Abstract: An information processing device (10) includes: an extraction unit (11) that extracts text information representing a sound from an image published in a comic for each comic processing unit; a comparison unit (12) that compares the extracted text information for each comic processing unit with text information representing a sound in an anime scene prepared in advance, and computes a similarity; and a correspondence derivation unit (13) that obtains a correspondence relationship between the anime scene and the comic processing unit based on the computed similarity.

Abstract: A recommendation device includes an acquisition unit acquiring a visual line image obtained by imaging the trajectory of the visual line of a user browsing a content displayed on a user terminal, an extraction unit extracting a feature vector indicating a feature amount of the visual line image, a generation unit generating a correspondence relationship between the content and the trajectory of the visual line of the user as a user context on the basis of the feature vector, a computation unit computing the score of each of a plurality of contents, which are recommendation candidates, by using the user context, and an output unit outputting a recommendation result of a content selected on the basis of the score.

Abstract: A recommendation device includes an acquisition unit acquiring a visual line image obtained by imaging the trajectory of the visual line of a user browsing a content displayed on a user terminal, an extraction unit extracting a feature vector indicating a feature amount of the visual line image, a generation unit generating a correspondence relationship between the content and the trajectory of the visual line of the user as a user context on the basis of the feature vector, a computation unit computing the score of each of a plurality of contents, which are recommendation candidates, by using the user context, and an output unit outputting a recommendation result of a content selected on the basis of the score.

Abstract: A recommendation device includes a storage unit storing a content feature vector and a user feature vector, an acquisition unit acquiring information indicating a plurality of favorite contents and preference information indicating the preference of a user, a learning unit performing learning such that the position of the user feature vector and the position of the content feature vector of the plurality of favorite contents approach each other, a correction unit correcting the position of the user feature vector by using weighting based on the preference information, a computation unit computing a score of each of the plurality of contents on the basis of a separation distance between the position of the user feature vector and the position of the content feature vector, and an output unit outputting a recommendation result of a content selected on the basis of the score.