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Great Explanations: Opinionated Explanations for Recommendation

Authors: 
Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Explaining recommendations helps users to make better, more satisfying decisions. We describe a novel approach to explanation for rec- ommender systems, one that drives the recommendation process, while at the same time providing the user with useful insights into the reason why items have been chosen and the trade-o s they may need to consider when making their choice. We describe this approach in the context of a case-based recommender system that harnesses opinions mined from user-generated reviews, and evaluate it on TripAdvisor Hotel data.
Conference Name: 
ICCBR 2015
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
28/09/2015
Conference Location: 
Germany
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
Yes
Publication document: