Customizing Knowledge-based Recommender System by Tracking Analysis of User Behavior

摘要：

In this paper, we reviewed the major problems in the existing recommender systems and presented a tracking recommender approach based on users behavior information and two-level property of items. Our proposed approach defined user profile model, knowledge resources model and constructed Formal Concept Analysis (FCA) mapping to guide a personalized recommendation for user. We simulated a prototype recommender system that can make the quality recommendation by tracking users behavior. The experimental result showed our strategy was more robust against the drawbacks and preponderant than conventional recommender systems.

关键词： Customizing recommendation behavior tracking formal concept analysis knowledge repository

作者: Xiaohui Li Tomohiro Murata

作者单位: Graduate School of Information,Production and System,Waseda University,Japan

会议类型: 国际会议

会议名称: 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management(2010年IEEE第17届工业工程与工程管理国际学术会议)

会议地点: 厦门

会议语种:英文

页码: 65-69

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）