关键词: 推荐技术, 协同过滤, 语义信息, 电子商务

Abstract: Recommendation technology is an important technology in E-commerce field. however, there exists many problems in the recommended approaches in being, such as Data Sparsity problem, New-Item problem and Scalability problem. In this study, combining the semantic similarity with the product taxology, a product Semantic Relevance Model is set up, the structure of this model is acquired by the training of an Industry Semantic Training Center, finally semantic information that extracted from products is integrated with current Item-Based Collaborative Filtering approach. The result of this study indicate that the approach can resolve Data Sparsity problem and New-Item problem to some extent.

Key words: Recommendation Technology, Collaborative Filtering, Semantic Information, E-commerce