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A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews
Author(s)
Date Issued
2018-05-23
Date Available
2019-04-24T12:05:34Z
Abstract
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
AAAI Publications
Copyright (Published Version)
2018 Association for the Advancement of Artificial Intelligence
Language
English
Status of Item
Peer reviewed
Conference Details
The Thirty-First International FLAIRS Conference (FLAIRS-31), Florida, United States of America, 21-23 May 2018
This item is made available under a Creative Commons License
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