Exploiting Formal Concept Analysis in a Customizing Recommendation for New User and Gray Sheep Problems

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2012/05/01

タイトル(英語): Exploiting Formal Concept Analysis in a Customizing Recommendation for New User and Gray Sheep Problems

著者名: Xiaohui Li (Graduate School of Information, Production and Systems, Waseda University), Tomohiro Murata (Graduate School of Information, Production and Systems, Waseda University)

著者名(英語): Xiaohui Li (Graduate School of Information, Production and Systems, Waseda University), Tomohiro Murata (Graduate School of Information, Production and Systems, Waseda University)

キーワード: recommender system，behavior tracking，formal concept analysis，knowledge repository

要約(英語): Recommender systems are becoming an indispensable application and re-shaping the world in e-commerce scopes. This paper reviews the major problems in the existing recommender systems and presents a tracking recommendation approach based on information of user's behavior and two-level property of items. A new recommendation model based the synergistic use of knowledge from repository, which includes user's behavior, and items property was constructed and utilizes the Formal Concept Analysis (FCA) mapping to guide a personalized recommendation for user. We simulate a prototype recommender system that can make the quality recommendation by tracking user's behavior for implementing the proposed approach and testing its performance. Experiments using two datasets show our strategy was more robust against the drawbacks and preponderate over traditional recommendation approaches in cold-start conditions.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.5 （2012） 特集：新たな産業応用を可能にする無線通信技術

本誌掲載ページ: 782-789 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/132/5/132_5_782/_article/-char/ja/