计算机工程与应用2011，Vol.47Issue(7)：226-228,3.DOI:10.3778/j.issn.1002-8331.2011.07.065
用于推荐系统聚类分析的用户兴趣度研究
Study on user interest level for clustering analysis in recommender systems.
崔春生 1吴祈宗 2王莹1
作者信息
- 1. 北京理工大学管理与经济学院,北京,100081
- 2. 河南财经政法大学计算机学院,郑州,450002
- 折叠
摘要
Abstract
Based on the need of user or merchandise clustering in recommender systems,the idea of user interest level or Web interest level is proposed in the paper.Through comparing users' browsing time,browsing action and the amount of information,a method of computing user interest level to a class of merchandise is put forward.By setting thresholds,the interested merchandise set of users, interested user set of merchandise and user set of similar interest are defined.So the general steps of users clustering based on user interest level are gotten,which has a meaning of promotion and reference.关键词
推荐系统/用户兴趣度/聚类分析Key words
recommender systems/user interest level/clustering analysis分类
信息技术与安全科学引用本文复制引用
崔春生,吴祈宗,王莹..用于推荐系统聚类分析的用户兴趣度研究[J].计算机工程与应用,2011,47(7):226-228,3.
