传统的推荐系统是面向单个用户的推荐。作为个性化推荐的一个新的延伸,目前有越来越多的推荐系统正试图面向一组成员进行推荐。将推荐对象从单个用户扩展到一组用户的转变带来了许多新的课题,该文将主要介绍目前已有的几种组推荐算法,并总结一般组推荐系统的偏好融合过程。
The traditional recommender systems focus on recommend items for individual users. As an extension of personalized recommendation, more and more recent recommender systems try to make recommendations for a group of members. The al-tered target(i.e., from an individual user to a group of users)has brought many new issues. This paper focuses on the reviewing of existing group recommendation algorithmsapp:addword:algorithms, and discusses the directions of the group recommendation systems research.