Ontological User Profiling on Personalized Recommendation in e-Commerce

被引：8
|
作者：
He, Siping [1 ]
Fang, Meiqi [1 ]
机构：
[1] Renmin Univ China, Sch Informat, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE ICEBE 2008: IEEE INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING | 2008年
关键词：
D O I：
10.1109/ICEBE.2008.26
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Personalized information service is one of the hotspots in e-Commerce, in order to provide appropriate recommendation to every user, the service should 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. User's interests are tagged and automatically updated with commodity ontology classes, combined with ontology inference to find missing interests.
引用
收藏
页码：585 / 589
页数：5
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