DYNAMIC ONTOLOGY-BASED USER FEATURES MODELING AND APPLICATION IN INFORMATION RETRIEVAL SYSTEM
Personalized retrieval is the inevitable trend of information services, which can meet users diversified and specialized knowledge requirements. The learning of user features and the building of user model ate essential to realize the personalization in information retrieval system. In this paper, we introduced ontology into the research, and studied the representation of user interests using concepts and relations, and based on which,developed a dynamic method of modeling. We analyzed the main principle and the two key steps of this method including user features primitive learning and deep mining. The application of the model was also discussed at the end of the paper. Our study shows that dynamic ontology based user features modeling can improve the retrieval quality by better representing, discovering and utilizing user implicit interests.
Ontology User features Modeling Information retrieval
YAPING YUAN DANXIANG AI HUI ZUO
Wuhan University Of Science and Engineering, building 15, unit 3, room 904, Fangzhi Road, Hongshan D School of Economics and Management, Department of Information Management Engineering, Guangdong Univ School of Economics and Management, Department of Economics, Guangdong University of Technology, Yin
国际会议
The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)
大连
英文
341-348
2008-12-18（万方平台首次上网日期，不代表论文的发表时间）