计算机工程与应用2011，Vol.47Issue(13)：154-156,3.DOI:10.3778/j.issn.1002-8331.2011.13.044
适应用户兴趣变化的指数遗忘协同过滤算法
Exponential forgetting collaborative filtering recommendation algorithm incorporated with user interest change.
摘要
Abstract
Collaborative Filtering(CF) is the most successful technologies to date,but traditional collaborative filtering algorithm does not consider the change of users' interests.To solve the problem,this paper presents a CF recommendation algorithm,named item similarity-based CF algorithm,which uses exponential gradual forgetting-based data weight to diminish the importance of each item similarity.The experimental results show that the proposed algorithm can efficiently improve recommendation quality.关键词
协同过滤/推荐算法/用户兴趣/指数遗忘Key words
collaborative filtering/recommendation algorithm/users' interests/exponential forgetting分类
信息技术与安全科学引用本文复制引用
李克潮,梁正友..适应用户兴趣变化的指数遗忘协同过滤算法[J].计算机工程与应用,2011,47(13):154-156,3.基金项目
广西科学基金资助项目(No.桂科自0832059). （No.桂科自0832059）
