摘要
本文论述了基于兴趣度的协作过滤技术来实现个性化服务,并针对协作过滤中的不足,提出基于兴趣度的聚类方法。通过分析可以知道该方法在解决协作过滤的不足和个性化服务方面有较好的效果。
The article discusses the Collaborative filtering based on the interesting and brings about the personalization services. It puts forward the Clustering analysis method to form similar interest users' groups to solve this problem and it also provides the K-means Clustering counting methods based on the interesting.
出处
《电脑与电信》
2007年第11期47-49,共3页
Computer & Telecommunication
关键词
兴趣度
协作过滤
聚类分析
interesting
collaborative filtering
clustering analysis