Sticking with a Winning Team: Better Neighbour Selection for Conversational Collaborative Recommendation
|Title:||Sticking with a Winning Team: Better Neighbour Selection for Conversational Collaborative Recommendation||Authors:||Rafter, Rachael
|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of material:||Conference Publication||Keywords:||Conversational recommender systems||Language:||en||Status of Item:||Not peer reviewed||Is part of:||Proceedings of the 18th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 07), Dublin, Ireland, August, 2007||Conference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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