会议专题

STUDY AND IMPLEMENTATION OF PERSONALIZED SEARCHING SYSTEM BASED ON USERS INTEREST MODEL

  The common personalized searching technology can neither make full use of features of domain knowledge,nor understand the users special needs in this field.Aiming at solving this issue,this paper studies personalized searching technology combining the characteristics of domain.Facing tourism fields,this paper designs and realizes a user-based personalized searching system,and provides with its general framework and implementation of system functions.The tourism field knowledge database is firstly established.According to the users browsing history and personal information,this paper builds the user-interest model based on tourism areas,and then realizes the personalized information recommendation technology and information expanding searching.The results show that the information searching based on domain knowledge and tourism information achieves better results in recall rate,accuracy and recommend function than traditional searching engine.

Personalized searching Tourism area Regional weight Attractions priority

Xue Li Junping Du Lingling Zi Katsunori Shimohara

Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,School of Computer Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,School of Computer Department of Information Systems Design,Doshisha University,Kyotanabe City,Kyoto,Japan

国际会议

2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

杭州

英文

1-5

2012-10-30(万方平台首次上网日期,不代表论文的发表时间)