基于关联规则和ART的电子商务推荐系统应用研究

Application of Electronic Commerce Recommendation System based on Association Rules and ART

针对传统电子商务推荐系统环境中存在数据集噪声、定量规则发现等影响自动推荐性能的问题,提出了一种关联规则结合ART模型的改进算法,将其应用于电子商务中的自动推荐,实验结果表明该算法进行自动推荐时运行稳定,推荐商品相关性较高。

The traditional e-commerce recommendation system environment existing in the data set noise and quantitative rules that influence automatic recommendation performance problem,put forward a kind of association rules of art model with the improved algorithm and its application in automatic recommendation of electronic commerce in the.The experimental results show that the algorithm for automatic recommendation stable operation,high correlations of commodity recommendation.