The Personalized Information Retrieval Model Based on User Interest

被引:0
作者
Gong, Songjie [1 ]
机构
[1] Zhejiang Business Technol Inst, Ningbo 315012, Zhejiang, Peoples R China
来源
2010 INTERNATIONAL CONFERENCE ON COMMUNICATION AND VEHICULAR TECHNOLOGY (ICCVT 2010), VOL II | 2010年
关键词
personalized information serivice; information retrieval; user interest; content-based filtering; collaborative filtering;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Personalized information retrieval systems can help customers to gain orientation in information overload by determining which items are relevant for their interests. One type of information retrieval is content-based filtering. In content-based filtering, items contain words in natural language. Meanings of words in natural language are often ambiguous. The problem of word meaning disambiguation is often decomposed to determining semantic similarity of words. In this paper, the architecture of personalized information retrieval based on user interest is presented. The architecture includes user interface model, user interest model, detecting interest model and update model. It established a user model for personalized information retrieval based on user interest keyword list on client server, which can supply personalized information retrieval service for user with the communications and collaboration of all modules of the architecture.
引用
收藏
页码:223 / 225
页数:3
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