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


Rafter, R and Coyle, Lorcan and Nixon, Paddy and Smyth, Barry, Sticking with a Winning Team: Better Neighbour Selection for Conversational Collaborative Recommendation, Proceedings of the 18th Irish Conference on Artificial Intelligence and Cognitive Science (AICS07), 29th - 31st August 2007 , Dublin Institute of Technology, Ireland EJ (2007) [Refereed Conference Paper]

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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.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Service oriented computing
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Nixon, Paddy (Professor Paddy Nixon)
ID Code:69490
Year Published:2007
Deposited By:Research Division
Deposited On:2011-04-20
Last Modified:2014-08-20

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