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

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Title: Sticking with a Winning Team: Better Neighbour Selection for Conversational Collaborative Recommendation
Authors: Rafter, Rachael
Coyle, Lorcan
Nixon, Paddy
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/4641
Date: Aug-2007
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.
Type of material: Conference Publication
Keywords: Conversational recommender systems
Language: en
Status of Item: Not peer reviewed
Is part of: Proceedings of the 18th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 07), Dublin, Ireland, August, 2007
Conference Details: The 18th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 07), Dublin, Ireland, 29-31 August, 2007
Appears in Collections:Computer Science Research Collection

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