%0 Conference Paper %1 Mccarthy2006Cats %A McCarthy, Kevin %A Salamó, Maria %A Coyle, Lorcan %A McGinty, Lorraine %A Smyth, Barry %A Nixon, Paddy %B Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, Melbourne Beach, Florida, USA, May 11-13, 2006 %D 2006 %E Sutcliffe, Geoff %E Goebel, Randy %I AAAI Press %K collaborative recommender_systems %P 86-91 %T CATS: A Synchronous Approach to Collaborative Group Recommendation %X Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of users with potentially competing interests is challenging in itself. In addition to this we must consider how to record and combine the preferences of many different users as they engage in simultaneous recommendation dialogs. In this paper we introduce a group recommender system that is designed to provide assistance to a group of friends trying the plan a skiing vacation. The system uses the DiamondTouch interactive tabletop to allow up to 4 users to simultaneously engage in parallel recommendation sessions and we describe how personal and shared profiles and interaction spaces can be managed to generate sets of recommendations for the individual as well as the group.

@inproceedings{Mccarthy2006Cats, abstract = {Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of users with potentially competing interests is challenging in itself. In addition to this we must consider how to record and combine the preferences of many different users as they engage in simultaneous recommendation dialogs. In this paper we introduce a group recommender system that is designed to provide assistance to a group of friends trying the plan a skiing vacation. The system uses the DiamondTouch interactive tabletop to allow up to 4 users to simultaneously engage in parallel recommendation sessions and we describe how personal and shared profiles and interaction spaces can be managed to generate sets of recommendations for the individual as well as the group.}, added-at = {2007-12-01T21:44:55.000+0100}, author = {McCarthy, Kevin and Salam{\'o}, Maria and Coyle, Lorcan and McGinty, Lorraine and Smyth, Barry and Nixon, Paddy}, biburl = {https://www.bibsonomy.org/bibtex/20cc47aaeb005cc2592cb78dc9b6fd181/lorcan}, booktitle = {Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, Melbourne Beach, Florida, USA, May 11-13, 2006}, description = {Lorcan Coyle's Bibliography}, editor = {Sutcliffe, Geoff and Goebel, Randy}, interhash = {5d130f01a6812a2eb748e6ca928cfb2a}, intrahash = {0cc47aaeb005cc2592cb78dc9b6fd181}, keywords = {collaborative recommender_systems}, month = May, pages = {86-91}, publisher = {AAAI Press}, timestamp = {2007-12-01T22:12:08.000+0100}, title = {CATS: A Synchronous Approach to Collaborative Group Recommendation}, year = 2006 }