微博个性化内容推荐算法研究

A Personalized Recommendation Algorithm on Micro-blogs

移动环境下的微博推荐算法,最需要解决的是用户兴趣根据位置变化而快速变化问题。基于微博这种新型的网络交互环境,提出一种基于移动环境的内容推荐算法,以用户的位置为核心,根据"用户-内容-时间-位置"关系实现相关性的计算,进行好友和内容的推荐。并对该推荐算法的推荐精度进行了实验,证明了位置对内容评分在移动环境下可以提高推荐精度并可以增强用户体验。

This paper provides new smart Micro-blog recommending algorithm to meet user requirements under mobile environment.New algorithm which is centering on uses Location,realizes the ＂user-content time-position＂ relation computed and recommends the content to friends.Finally,the paper carries out the experiment on accuracy of recommending algorithm,and proves that the position on the content rating could be more precise and enhance the users＇ experience under mobile environment.