计算机工程与应用2018，Vol.54Issue(7)：138-143,6.DOI:10.3778/j.issn.1002-8331.1610-0330
基于用户谱聚类的Top-N协同过滤推荐算法
Top-N collaborative filtering recommendation algorithm based on user spectrum clustering
肖文强 1姚世军 1吴善明1
作者信息
- 1. 解放军信息工程大学 理学院,郑州450001
- 折叠
摘要
Abstract
This paper focuses on the issues that the impact of all users'historical feedback information has been taken into account when calculating the similarities between any two items,and the traditional collaborative filtering algorithms only utilize the user's rating data to calculate the similarities.To solve the above problems, two novel algorithms are proposed.Top-N Collaborative Filtering recommendation algorithm based on user Spectral Clustering(SC-CF):it clusters all uses into several partitions using spectral clustering,then recommends for users in each of the clusters.SC-CF+,com-pared to SC-CF algorithm,draws the time difference weight,users'common rating weight and popular items weight into the similarities formula respectively.Experimental results show that the two new algorithms improve the recall of recom-mendation results.关键词
协同过滤/相似度/历史反馈信息/谱聚类/召回率Key words
collaborative filtering/similarity/historical feedback information/spectral clustering/recall分类
信息技术与安全科学引用本文复制引用
肖文强,姚世军,吴善明..基于用户谱聚类的Top-N协同过滤推荐算法[J].计算机工程与应用,2018,54(7):138-143,6.
