基于兴趣度向量模型的协同过滤推荐技术研究

在引入兴趣度向量模型的基本原理和用户协同过滤推荐技术的基础上,探讨一种有效的基于兴趣度向量模型的商品推荐算法.该算法通过将兴趣度向量模型与协同过滤推荐技术结合起来,在电子商务中实现商品自动推荐,从而提高推荐精度和推荐质量.并对这种推荐算法的有效性进行了实验验证.

Research on Coordination Filtration Recommendation Technology Based on Interest Vector Model

On introducing the basic principle of interest vector model and the technology of user coordination filtration recommendation, a kind of efficient algorithm of goods recommendation based on interest vector model is discussed. This algorithm can realize goods automatic recommendation for electronic business by combining the interest vector model and the technology of coordination filtration recommendation, so it can increase the precision and quality of recommendation. Then, an experiment is given to check the efficiency of this recommendation algorithm.