科技广场Issue(9)：19-21,3.
关联集合在协同过滤推荐算法中的应用研究
Research on Application of Associative Sets in Collaborative Filtering Algorithm
摘要
Abstract
In order to improve the precision of electronic commerce recommendation system,this paper puts forward collaborative filtering algorithm based on associative sets.It uses frequent itemsets to get associative sets,and makes recommendations according to users＇ real preferences,so as to enhance the accuracy of recommending results.This new algorithm is more accurate than the traditional method in recommendation precision.关键词
关联集合/协同过滤/推荐算法Key words
Associative Sets/Collaborative Filtering/Algorithm分类
信息技术与安全科学引用本文复制引用
邓丽明,陶炬..关联集合在协同过滤推荐算法中的应用研究[J].科技广场,2011,(9):19-21,3.基金项目
江西省科学技术厅科技支撑计划项目 （）
