摘要
随着推荐技术的不断发展,研究发现用户更加偏好于相信熟人或者权威人士的推荐,因此,基于信任的推荐方法成为研究热点。本文从社会网络信任特征和基于信任的协同过滤算法研究情况进行分析总结,为未来对个性推荐方法和基于信任的协同过滤算法进行深入研究奠定基础。文章最后针对目前基于信任的协同过滤算法研究现状,对未来的发展方向进行展望。
With the rapid development of recommendation technology,people have realized that users prefer to believe the recommendations from acquaintances or authorities. Recommended approaches based on social trust relationships have only recently been given research attention. This paper summarizes the feature of social trust networks and analyses collaborative filtering（ CF） based social recommender systems. These lay the foundation for the research of individualization recommended technology and collaborative filtering algorithm based on social trust relationships. Facing to the research status of collaborative filtering algorithm based on social trust relationships,the paper prospects the future development directions.
出处
《智能计算机与应用》
2015年第4期55-59,共5页
Intelligent Computer and Applications
关键词
个性化推荐
协同过滤
信任
Personalized Recommendation
Collaborative Filtering
Trust
