A Document Recommendation System Based on Collaborative Filtering and Personal Ontology

摘要：

With the advance of information technology,people could retrieve and manage their information more easily. However,the information users are still confused of information overloading problem. The recommendation system is designed based on personal preferences. It can recommend the fittest information to users,and it would help users to obtain information more conveniently and quickly. In our research,we design a recommendation system based on personal ontology and collaborative filtering technologies. Personal ontology is constructed by Formal Concept Analysis (FCA) algorithm and the collaborative filtering is design based on ontology similarity comparison among users. In order to evaluate the performance of our recommendation system,we have constructed a field experiment to study the users satisfaction of our experiment system. The results show that,combing collaborative filtering technology with FCA in a recommendation system can get better users satisfaction.

关键词： Document Recommendation System Personal ontology Formal Concept Analysis (FCA) Collaborative filtering

作者: Deng-Neng Chen Yao-Chun Chiang

作者单位: National Pingtung University of Science and Technology Shuefu Road,Neipu,Pingtung 912,Taiwan

会议类型: 国际会议

会议名称: 第11届信息学与组织符号学国际会议(11th International Conference on Informations and Semiotics in Organisations)

会议地点: 北京

会议语种:英文

页码: 255-262

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）