AniReco: Japanese Anime Recommendation System - Entertainment Computing – ICEC 2017 Access content directly
Conference Papers Year : 2017

AniReco: Japanese Anime Recommendation System

Syoichiro Ota
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  • PersonId : 1031201
Hayaki Kawata
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  • PersonId : 1031137
Masahumi Muta
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Soh Masuko
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Along with development of animation works and their market, it has become more difficult for users to find out works corresponding to their own preference from among huge number of animation works as well as to recognize the whole picture of contents related to them. Therefore, “AniReco” is proposed in this paper which is an animation work recommendation system capable of recommending animation works and their related contents in a cross-sectional fashion while reflecting users’ potential preference. As a result of evaluation experiment performed aiming at verifying the system usability and contents of recommendation; it has been proved that the recommendation system is capable of recommending animation works which reflect users’ preference.
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hal-01771283 , version 1 (19-04-2018)





Syoichiro Ota, Hayaki Kawata, Masahumi Muta, Soh Masuko, Jun’ichi Hoshino. AniReco: Japanese Anime Recommendation System. 16th International Conference on Entertainment Computing (ICEC), Sep 2017, Tsukuba City, Japan. pp.400-403, ⟨10.1007/978-3-319-66715-7_49⟩. ⟨hal-01771283⟩
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