关键词: 推荐系统, 概念分层, 数据挖掘, 协同过滤

Abstract: Collaborative filtering is the most successful technology for building recommendation systems. But with a large number of users and items, this method faces serious problems such as sparsity which makes the recommendation efficiency decline linearly. In this paper a concept hierarchy methodology ameliorating user-item matrix was suggested. By using buy-data and click-through-data and integrating items of similar users and those of multi-level association, this method showed good performance on sparsity set.

Key words: ecommendation system, concept hierarchy, data mining, collaborative filtering