Group Recommender Systems: Combining Individual Models

  • Judith MasthoffEmail author


This chapter shows how a system can recommend to a group of users by aggregating information from individual user models and modelling the users affective state. It summarizes results from previous research in this area. It also shows how group recommendation techniques can be applied when recommending to individuals, in particular for solving the cold-start problem and dealing with multiple criteria.


Recommender System Emotional Contagion Aggregation Strategy News Item Ambient Intelligence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Judith Masthoff’s research has been partly supported by Nuffield Foundation Grant No. NAL/00258/G.


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.University of AberdeenAberdeenUK

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