Cooperative Recommendation System Based on Ontology Construction

摘要：

In the traditional information service system, the lack of service personalization and semantic information influences the intelligence of information service, and decreases the quality of service. In this paper, we propose the cooperative recommendation system based on ontology construction. We first construct domain ontology, and construct user interest ontology by the mapping relations between user interest and domain ontology, and then we study the user interest ontology similarity measures. Through identifying the vertical weight by user interest similarity, the horizontal weight by time novelty, we use the improved weighted association rule algorithm to mining the concepts in user interest ontology, and exploit the user interest model. At last, we realize the semantic-based cooperative recommendation oriented to content.

关键词： cooperative recommendation ontology user interest semantic

作者: Jike Ge Yuhui Qiu Zuqin Chen

作者单位: Faculty of Computer and Information Science Southwest University Chongqing, China School of Economics and Administration Chongqing Three Gorges University Chongqing, China

会议类型: 国际会议

会议名称: 第七届网格与协同计算国际会议(Seventh International Conference on Grid and Cooperative Computing GCC 2008)

会议地点: 深圳

会议语种:英文

页码: 691-694

在线出版日期: 2008-10-24（万方平台首次上网日期，不代表论文的发表时间）