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

conference contribution
posted on 2023-05-23, 05:20 authored by Rafter, R, Coyle, Lorcan, Nixon, Paddy, Smyth, Barry
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.


Publication title

Proceedings of the 18th Irish Conference on Artificial Intelligence and Cognitive Science (AICS07)





Place of publication

Dublin, Ireland

Event title

Irish Conference on Artificial Intelligence and Cognitive Science

Event Venue

Dublin Institute of Technology, Ireland

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2012 The Authors - The University is continuing to endeavour to trace the copyright owner(s) and in the meantime this item has been reproduced here in good faith. We would be pleased to hear from the copyright owner(s).

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  • Restricted

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Information systems, technologies and services not elsewhere classified

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