A Live-User Study of Opinionated Explanations for Recommender Systems

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Title: A Live-User Study of Opinionated Explanations for Recommender Systems
Authors: Muhammad, KhalilLawlor, AonghusSmyth, Barry
Permanent link: http://hdl.handle.net/10197/9034
Date: 10-Mar-2016
Online since: 2017-11-08T15:39:36Z
Abstract: This paper describes an approach for generating rich and compellingexplanations in recommender systems, based on opinionsmined from user-generated reviews. The explanationshighlight the features of a recommended item that matter mostto the user and also relate them to other recommendation alternativesand the users past activities to provide a context.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2016 ACM
Keywords: Recommender Systems
DOI: 10.1145/2856767.2856813
Language: en
Status of Item: Peer reviewed
Is part of: Proceedings of the 21st International Conference on Intelligent User Interfaces
Conference Details: IUI 2016. 21st International Conference on Intelligent User Interfaces, Sonoma, California, USA
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Insight Research Collection

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