AniReco: Japanese Anime Recommendation System

  • Syoichiro OtaEmail author
  • Hayaki Kawata
  • Masahumi Muta
  • Soh Masuko
  • Jun’ichi Hoshino
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10507)


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.


Recommendation system Interface design Anime 


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    Anime industry report (2016). Accessed 30 Mar 2017
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    Analysis on overseas deployment of breadcast contents (2014). Accessed 30 Mar 2017
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    Fleischman, M., Hovy, E.: Recommendations without user preferences: a natural language processing approach. In: Proceedings of the 8th International Conference on Intelligent User Interfaces. ACM (2003)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  1. 1.Graduate School of Systems and Information EngineeringUniversity of TsukubaTsukuba-shiJapan
  2. 2.Rakuten, Inc., Rakuten Institute of TechnologySetagaya-kuJapan

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