Research on Web personalized recommendation based on correlation analysis of association rule
基于关联规则相关性分析的Web个性化推荐研究

Through discussing the problems occur in Web personalized recommendations, an improved algorithm based on correlation analysis of association rule is proposed. The experiment is performed and the results show that the improved algorithm can not only realize Web personalization with lower support but also increase the recommendation precision and speed.