Modeling and Assessing the Helpfulness of Chinese Online Reviews Based on Writing Behavior

摘要

At present, consumers are accustomed to judge the quality of goods according to online reviews. However, e-commerce sites are always filled with lots of less useful reviews, which is inconvenient for customers. This paper proposes a method for assessing the helpfulness of Chinese online reviews based on writing behavior. The proposed method recognizes the writing behavior, such as Tail-Insertion, Non-Tail-Insertion and Selected-Modification by monitoring the change of the comment input box on goods page, and then a linear weighted model is established on the writing behavior, writing speed and product features of the review and used to assess the helpfulness of reviews. Experimental results show that the model can accurately and efficiently recognize the useful reviews.