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Published in:
2017 | OriginalPaper | Chapter
AniReco: Japanese Anime Recommendation System
Authors : Syoichiro Ota, Hayaki Kawata, Masahumi Muta, Soh Masuko, Jun’ichi Hoshino
Published in: Entertainment Computing – ICEC 2017
Publisher: Springer International Publishing
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Abstract
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.