CATS: A Synchronous Approach to Collaborative Group Recommendation

K McCarthy, M Salamo, L Coyle, L McGinty, B Smyth, Patrick Nixon

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    79 Citations (Scopus)

    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.
    Original languageEnglish
    Title of host publicationUnknown Host Publication
    Pages86-91
    Number of pages6
    Publication statusPublished - 2006
    EventProceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference - Melbourne Beach, Florida, USA
    Duration: 1 Jan 2006 → …

    Conference

    ConferenceProceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference
    Period1/01/06 → …

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    Keywords

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    Cite this

    McCarthy, K., Salamo, M., Coyle, L., McGinty, L., Smyth, B., & Nixon, P. (2006). CATS: A Synchronous Approach to Collaborative Group Recommendation. In Unknown Host Publication (pp. 86-91)