A User Profile Generating Approach to Folksonomy Dependent on Cooccurrence

摘要：

Enriched user profiles can guide any collaborative filtering recommender system to proactively discover and suggest to a user many resources relevant to him, even if he has not explicitly searched for them. Depending on users history cooccurrence tracks, people can make user profile more enrichment. And it also helps to improve the performance of recommender systems operating on a folksonomy. This paper proposes a novel algorithm to construct an enough content of user profile by tracking users history cooccurrence. It allows any content-based recommender system operating on the folksonomy to retrieve and suggests a high number of resources matching with user needs and desires.

关键词： Folksonomy Recommender systems User profile Cooccurrence

作者: Ruliang Xiao Yongcong Nie Xin Du Ping Gong

作者单位: Faculty of Software Fujian Normal University Fuzhou China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 496-499

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）