摘要
利用社会性书签作为用户在互联网上的操作数据,通过分析用户所做的社会性书签,来构建基于整个互联网的推荐系统,在对社会性标签数据分析的基础上,提出一种新的方法来展现用户的喜好项.实验表明,基于social tag的网页推荐系统在很大程度上能满足用户的兴趣需求.
With social bookmarks as operating data of internet users and by analyzing social bookmarks made by the users, a recommender system for the whole internet can be constructed. Based on the analysis on social bookmark data, this paper puts forward a new way to display users＇ preferences. Practical experiments show that webpage recommending system based on social tag can meet users＇ needs to a great extent.
出处
《重庆工学院学报（自然科学版）》
2008年第7期51-55,共5页
Journal of Chongqing Institute of Technology
基金
成都市科技创新基金资助项目(08GGZD151GX)
