A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews

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Title: A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews
Authors: Muhammad, Khalil
Lawlor, Aonghus
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/10126
Date: 23-May-2018
Online since: 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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: AAAI Publications
Copyright (published version): 2018 Association for the Advancement of Artificial Intelligence
Keywords: ExplanationsRecommender systemsArtificial intelligenceExplanation-based recommendation
Other versions: https://sites.google.com/site/flairs31conference/
https://www.aaai.org/ocs/index.php/AAAI/FLAIRS18/index
Language: en
Status of Item: Peer reviewed
Conference Details: The Thirty-First International FLAIRS Conference (FLAIRS-31), Florida, United States of America, 21-23 May 2018
Appears in Collections:Insight Research Collection

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