A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews
Refereed Conference Meeting Proceeding
This paper extends recent work on the use of explanations in recommender systems. In particular, we show how explanations can be used to rank as well as justify recommendations, then we compare the results to more conventional recommendation approaches, in three large-scale application domains.
The Thirty-First International FLAIRS Conference (FLAIRS-31), Florida, United States of America, 21-23 May 2018
Digital Object Identifer (DOI):
National University of Ireland, Dublin (UCD)
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