Improving accuracy of recommender system by clustering items based on stability of user similarity

Truong Khanh Quan*, Ishikawa Fuyuki, Honiden Shinichi

*この研究の対応する著者

研究成果: Conference contribution

30 被引用数 (Scopus)

抄録

Collaborative Filtering, one of the most widely used approach in Recommender System, predicts a user's rating towards an item by aggregating ratings given by users having similar preference to that user. In existing approaches, user similarity is often computed on the whole set of items. However, because the number of items is often very large, and so is the diversity among items, users who have similar preference in one category of items may have totally different judgement on items of another kind. In order to deal with this problem, we propose a method of clustering items, so that inside a cluster, similarity between users does not change significantly. After that, when predicting rating of a user towards an item, we only aggregate ratings of users who have high similarity degree with that user inside the cluster to which that item belongs. Experiments evaluating our approach are carried out on the real dataset taken from movies recommendation system of MovieLens web site. Preliminary results suggest that our approach can improve prediction accuracy compared to existing approaches.

本文言語English
ホスト出版物のタイトルCIMCA 2006
ホスト出版物のサブタイトルInternational Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ...
出版社IEEE Computer Society
ISBN(印刷版)0769527310, 9780769527314
DOI
出版ステータスPublished - 2006 1 1
外部発表はい
イベントCIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce - Sydney, NSW, Australia
継続期間: 2006 11 282006 12 1

出版物シリーズ

名前CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ...

Conference

ConferenceCIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce
国/地域Australia
CitySydney, NSW
Period06/11/2806/12/1

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 制御およびシステム工学

フィンガープリント

「Improving accuracy of recommender system by clustering items based on stability of user similarity」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル