A Live-User Study of Opinionated Explanations for Recommender Systems
|Title:||A Live-User Study of Opinionated Explanations for Recommender Systems||Authors:||Muhammad, Khalil
|Permanent link:||http://hdl.handle.net/10197/9034||Date:||10-Mar-2016||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|
|Appears in Collections:||Insight Research Collection|
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