Learning to recommend helpful hotel reviews
- 23 October 2009
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM) in Proceedings of the third ACM conference on Recommender systems - RecSys '09
- p. 305-308
- https://doi.org/10.1145/1639714.1639774
Abstract
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 benchmarksKeywords
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