基于用户标签的推荐系统研究

Research on Recommendation System Based on User Tag

在标签系统中用户可以随意上传资源,并且允许使用任意的称为标签的文字对资源进行标注。结合协同过滤推荐技术开发微博系统,通过获取新浪微博真实用户数据进行实验分析,验证所提出的模型及相关算法的有效性,并根据实验提出面向用户的推荐策略。

In the label system users can upload resources, and allows the use of any known as label text annotation on resources. Based on collabo-rative filtering recommendation technology development Microblogging systems, through accessing to Sina Weibo real user data experi-ment analysis, verifies the validity of the model and the related algorithm, according to the experiment, puts forward recommend strategies for the user.