Publication Type:
Conference PaperSource:
Proceedings of the 18th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland (2007)Keywords:
case based reasoning; conversational case based reasoning; recommender systems; knnAbstract:
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.
| Attachment | Size |
|---|---|
| Rafter2007Sticking.pdf | 348.91 KB |
