Learning to recommend helpful hotel reviews

User-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. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous General Terms Algorithms, Experimentation Keywords Review Recommendation, Classification, TripAdvisor

• Type: Conference
• Year: 2009
• Where: RECSYS
• Authors: Michael P. O'Mahony, Barry Smyth
• Keywords: Alternative Recommendation Benchmarks, Control Systems, Keywords Review Recommendation, RECSYS 2009, TripAdvisor Hotel Reviews