Abstract
The valuable review can help consumers to make decisions in C2C e-commerce. Due to the subjectivity of review, instability of product features, and cheat behavior in C2C, the main work in this paper is to design a multi-attribute model for the assessment of review’s value based on the review’s content, reliability, timeliness. The preliminary experiments show that the proposed way can filter informative review effectively than a quality assessment approach constructed based on user-generated helpful votes, and can resist the fraud review in C2C e-commerce.
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