Group recommender systems provide suggestions in contexts in which people operate in groups. The goal of this tutorial is to provide the RecSys audience with an overview on group recommendation. We will first formally introduce the prob- lem of producing recommendations to groups, then present a survey based on the tasks performed by these systems. We will also analyze challenging topics like their evaluation, and present emerging aspects and techniques in this area. The tutorial will end with a summary that highlights open issues and research challenges
University of Technology Sydney. Faculty of Engineering and Information Technology.Requirement of gr...
Group Recommender Systems (GRSs), unlike recommendations for individuals, provide suggestions for gr...
This research article presents a study about the background in Group Recommender Systems and how soc...
Group recommender systems provide suggestions in contexts in which people operate in groups. The goa...
A recommender system aims at suggesting to users items that might interest them and that they have n...
This book presents group recommender systems, which focus on the determination of recommendations fo...
Abstract. Recommender systems have traditionally recommended items to in-dividual users, but there h...
Group recommender systems provide suggestions when more than a person is involved in the recommendat...
Recommender systems usually deal with preferences previ-ously expressed by users, in order to predic...
The popularity of group recommender systems has increased in the last years. More and more social ac...
The majority of recommender systems are designed to make recommendations for individual users. Howev...
Recommender systems have proven their effectiveness in supporting personalised purchasing decisions ...
International audienceIn recent years, recommender systems have achieved great success. Popular site...
International audienceIn recent years, recommender systems have achieved a great success. Popular si...
Recommender systems try to provide people with recommendations of items they will appreciate, based ...
University of Technology Sydney. Faculty of Engineering and Information Technology.Requirement of gr...
Group Recommender Systems (GRSs), unlike recommendations for individuals, provide suggestions for gr...
This research article presents a study about the background in Group Recommender Systems and how soc...
Group recommender systems provide suggestions in contexts in which people operate in groups. The goa...
A recommender system aims at suggesting to users items that might interest them and that they have n...
This book presents group recommender systems, which focus on the determination of recommendations fo...
Abstract. Recommender systems have traditionally recommended items to in-dividual users, but there h...
Group recommender systems provide suggestions when more than a person is involved in the recommendat...
Recommender systems usually deal with preferences previ-ously expressed by users, in order to predic...
The popularity of group recommender systems has increased in the last years. More and more social ac...
The majority of recommender systems are designed to make recommendations for individual users. Howev...
Recommender systems have proven their effectiveness in supporting personalised purchasing decisions ...
International audienceIn recent years, recommender systems have achieved great success. Popular site...
International audienceIn recent years, recommender systems have achieved a great success. Popular si...
Recommender systems try to provide people with recommendations of items they will appreciate, based ...
University of Technology Sydney. Faculty of Engineering and Information Technology.Requirement of gr...
Group Recommender Systems (GRSs), unlike recommendations for individuals, provide suggestions for gr...
This research article presents a study about the background in Group Recommender Systems and how soc...