O'Mahony, Michael P.Michael P.O'MahonySmyth, BarryBarrySmyth2010-03-292010-03-292009 ACM2009-10978-1-60558-435-5http://hdl.handle.net/10197/1894Paper presented at the 3rd ACM Conference on Recommender Systems (RecSys 2009), New York City, NY, USA, 22-25 October 2009User-generated reviews are a common and valuable source of product information, yet little attention has been paid as to how best to present them to end-users. In this paper, we describe a classification-based recommender system that is designed to recommend the most helpful reviews for a given product. We present a large-scale evaluation of our approach using TripAdvisor hotel reviews, and we show that our approach is capable of suggesting superior reviews compared to a number of alternative recommendation benchmarks.255271 bytesapplication/pdfenReview RecommendationClassificationTripAdvisorRecommender systems (Information filtering)Automatic classificationUser-generated content--ClassificationConference Publication10.1145/1639714.1639774https://creativecommons.org/licenses/by-nc-sa/1.0/