Ontological User Profiling on Personalized Recommendation in e-Commerce

摘要：

Personalized information service is one of the hotspots in e-Commerce, in order to provide appropriate recommendation to every user, the service shouM have well-defined user profile. In this paper, we explore a novel approach in user profiling using ontology on the problem of recommendation in e-Commerce. The user profile is represented in ontological classes. Users interests are tagged and automatically updated with commodity ontology classes, combined with ontology inference to find missing interests.

作者: Siping He Meiqi Fang

作者单位: School of Information, Renmin University of China, Beijing, P.R.China

会议类型: 国际会议

会议名称: AiR08，EM2108，SOAIC08，SIOKM08，BIMA08，DKEEE08(2008IEEE国际电子商务工程学术会议)

会议地点: 西安

会议语种:英文

页码: 585-589

在线出版日期: 2008-10-22（万方平台首次上网日期，不代表论文的发表时间）