Exploiting formal concept analysis in a customizing recommendation for new user and gray sheep problems

Xiaohui Li*, Tomohiro Murata

*この研究の対応する著者

研究成果: Article査読

抄録

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.

本文言語English
ページ(範囲)782-789
ページ数8
ジャーナルIEEJ Transactions on Electronics, Information and Systems
132
5
DOI
出版ステータスPublished - 2012

ASJC Scopus subject areas

  • 電子工学および電気工学

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