Classical music for rock fans? Novel recommendations for expanding user interests

Makoto Nakatsuji*, Yasuhiro Fujiwara, Akimichi Tanaka, Toshio Uchiyama, Ko Fujimura, Toru Ishida

*この研究の対応する著者

研究成果: Conference contribution

46 被引用数 (Scopus)

抄録

Most recommender algorithms produce types similar to those the active user has accessed before. This is because they measure user similarity only from the co-rating behaviors against items and compute recommendations by analyzing the items possessed by the users most similar to the active user. In this paper, we define item novelty as the smallest distance from the class the user accessed before to the class that includes target items over the taxonomy. Then, we try to accurately recommend highly novel items to the user. First, our method measures user similarity by employing items rated by users and a taxonomy of items. It can accurately identify many items that may suit the user. Second, it creates a graph whose nodes are users; weighted edges are set between users according to their similarity. It analyzes the user graph and extracts users that are related on the graph though the similarity between the active user and each of those users is not high. The users so extracted are likely to have highly novel items for the active user. An evaluation conducted on several datasets finds that our method accurately identifies items with higher novelty than previous methods.

本文言語English
ホスト出版物のタイトルCIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops
ページ949-958
ページ数10
DOI
出版ステータスPublished - 2010
外部発表はい
イベント19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10 - Toronto, ON, Canada
継続期間: 2010 10月 262010 10月 30

出版物シリーズ

名前International Conference on Information and Knowledge Management, Proceedings

Conference

Conference19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
国/地域Canada
CityToronto, ON
Period10/10/2610/10/30

ASJC Scopus subject areas

  • 決定科学(全般)
  • ビジネス、管理および会計(全般)

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