计算机应用与软件2013，Vol.30Issue(6)：295-297,3.DOI:10.3969/j.issn.1000-386x.2013.06.078
反映用户兴趣变化的协同过滤算法
A COLLABORATIVE FILTERING ALGORITHM REFLECTING USERS' INTERESTS CHANGE
沈西挺 1董智佳1
作者信息
- 1. 河北工业大学计算机科学与软件学院 天津300401
- 折叠
摘要
Abstract
Existing collaborative filtering algorithms have two drawbacks:the one is that the conventional similarity measurement is difficult to accurately reflect the similarities among the users when the scoring matrix is sparse; the other is that it can not reflect the users' interests change in time.Aiming at these drawbacks,a novel similarity measurement algorithm is put forward.In this algorithm,a similarity measurement method considering the change of users' interests is formed by combining the users' interests-based similarity measurement and the item similarity-based data weight.Experimental results show that the improved algorithm integrates the advantages of the two methods above-mentioned,and ameliorates the two drawbacks in traditional algorithms,which leads to the improvement in recommendation accuracy.关键词
协同过滤/用户兴趣度/基于项目相似度的数据权重/个性化推荐Key words
Collaborative filtering /Users interests measure / Item similarity-based data weight / Personalised recommendation分类
信息技术与安全科学引用本文复制引用
沈西挺,董智佳..反映用户兴趣变化的协同过滤算法[J].计算机应用与软件,2013,30(6):295-297,3.
