A Collaborative Filtering Approach to Making Recommendations Based on Ontology in the Movie Domain

摘要：

Collaborative filtering approach is an important approach in making recommendations. However, it faces the hard issue of cold start problem and the matrix sparsity problem. In this paper, we present a novel hybrid recommendation approach based on ontology in the movie domain. The approach combines set based similarity algorithm and user evaluation based similarity algorithm in collaborative filtering. The hybrid recommendation approach can tackle the traditional recommenders matrix sparsity and cold start problems. Our experiments show that, our approach provides a good method to make recommendations.

关键词： Recommendation System Collaborative Filtering Similarity Ontology

作者: Yong Deng Zhonghai Wu Huayou Si Hu Xiong Zhong Chen

作者单位: School of Electronics Engineering and Computing Science Peking University Beijing, China School of Electronics Engineering and Computing Science Peking University Beijing, China School of S

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 243-247

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）