Recommender systems are increasingly used in various domains like movies, travel, music, etc. The rise in social activities has increased the usage of recommender systems in general and group recommender systems in particular. A group recommender system is a system that recommends items to a group of users collectively, given their preferences. In addition to the user preferences, using social and behavioural aspects of group members to generate group recommendations will increase the quality of the content recommended in heterogeneous groups. Group recommender systems also address the cold start problem that arises in an individual recommendation system. This paper presents a survey on the state-of-the-art in group recommender systems concerning various domains. We discussed existing systems with respect to their aggregation and user preference models. This organisation is very useful to understand the intricacies with respect to each domain.

中文翻译：

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群组推荐系统调查

推荐系统越来越多地用于电影、旅游、音乐等各个领域。社交活动的兴起增加了一般推荐系统，特别是群组推荐系统的使用。群组推荐系统是根据用户的偏好向一组用户集体推荐项目的系统。除了用户偏好之外，使用群组成员的社交和行为方面来生成群组推荐将提高在异构群组中推荐的内容的质量。群组推荐系统还解决了个人推荐系统中出现的冷启动问题。本文对涉及各个领域的群组推荐系统的最新技术进行了调查。我们讨论了现有系统的聚合和用户偏好模型。这种组织对于理解每个领域的复杂性非常有用。