As the popularity of free-form user-generated reviews in e-commerce and review websites continues to increase, there is a growing need for automatic mechanisms that sift through the vast number of reviews and identify quality content. Online review helpfulness modeling and prediction is a task which studies the factors that determine review helpfulness and attempts to accurately predict it. This survey paper provides an overview of the most relevant work on product review helpfulness prediction and understanding in the past decade, discusses gained insights, and provides guidelines for future research.
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