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Sentimental Product Recommendation

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
This paper describes a novel approach to product recom- mendation that is based on opinionated product descriptions that are automatically mined from user-generated product reviews. We present a recommendation ranking strategy that combines similarity and sentiment to suggest products that are similar but superior to a query product according to the opinion of reviewers. We demonstrate the bene ts of this approach across a variety of Amazon product domains
Conference Name: 
RecSys '13
Proceedings: 
RecSys '13
Digital Object Identifer (DOI): 
10.1145/2507157.2507199
Publication Date: 
12/10/2013
Conference Location: 
China
Research Group: 
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No