A Live-User Study of Opinionated Explanations for Recommender Systems

Author(s)
Uri
Date Issued
2016-03-10
Date Available
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
ACM
Copyright (Published Version)
2016 ACM
Subjects

Recommender Systems

DOI
Language
English
Status of Item
Peer reviewed
Journal
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
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insight_publication.pdf

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5.73 MB

Format

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Owning collection
Insight Research Collection