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A Live-User Study of Opinionated Explanations for Recommender Systems

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
This paper describes an approach for generating rich and compelling explanations in recommender systems, based on opinions mined from user-generated reviews. The explanations highlight the features of a recommended item that matter most to the user and also relate them to other recommendation alternatives and the user‘s past activities to provide a context.
Conference Name: 
IUI 2016 Conference
Digital Object Identifer (DOI): 
10.1145/2856767.2856813
Publication Date: 
10/03/2016
Pages: 
256-260
Conference Location: 
United States of America
Research Group: 
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No