Sticking with a Winning Team: Better Neighbour Selection for Conversational Collaborative Recommendation

Rachael Rafter, Lorcan Coyle, Paddy Nixon, Barry Smyth

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

Conversational recommender systems have recently emerged as useful alternative strategies to their single-shot counterpart, especially given their ability to expose a user's current preferences. These systems use conversational feedback to hone in on the most suitable item for recommendation by improving the mechanism that finds useful collaborators. We propose a novel architecture for performing recommendation that incorporates information about the individual performance of neighbours during a recommendation session, into the neighbour retrieval mechanism. We present our architecture and a set of preliminary evaluation results that suggest there is some merit to our approach. We examine these results and discuss what they mean for future research.
Original languageEnglish
Title of host publicationProceedings of the 18th Annual Conference on Artificial Intelligence and Cognitive Science
EditorsSarah Jane Delany, Michael Madden
Place of PublicationDublin
PublisherCahill Printers
Pages170-179
Number of pages10
Publication statusPublished - 2007
Externally publishedYes
Event18th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2007) - Dublin, Dublin, Ireland
Duration: 29 Aug 200731 Aug 2007

Conference

Conference18th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2007)
Abbreviated titleAICS 2007
CountryIreland
CityDublin
Period29/08/0731/08/07

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