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Explanation-based Ranking in Opinionated Recommender Systems

Publication Type: 
Refereed Conference Meeting Proceeding
Explanations can help people to make better choices, but their use in recommender systems has so far been limited to the annota- tion of recommendations after they have been ranked and suggested to the user. In this paper we argue that explanations can also be used to rank recommendations. We describe a technique that uses the strength of an item's explanation as a ranking signal { preferring items with compelling explanations { and demonstrate its ecacy on a real-world dataset.
Conference Name: 
The 24th Irish Conference on Artificial Intelligence and Cognitive Science, University College Dublin, Ireland, 20-21 September 2016
Digital Object Identifer (DOI): 
Publication Date: 
Research Group: 
National University of Ireland, Dublin (UCD)
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