Information College, JiangXi University of Technology, Nanchang, China

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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 multiattribute 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 ecommerce.

Index Terms—Online review, review’s value, multi-attribute model, C2C e-commerce.

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Cite: Leiyue Yao and Wei Yang, "A Multi-attribute Model to Compute Review’s Value in C2C," Journal of Computers vol. 9, no. 11, pp. 2648-2655, 2014.