A Multi-attribute Model to Compute Review’s Value in C2C
Leiyue Yao, Wei Yang · Journal of Computers · 2014
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. Index Terms—online review, review’s value, multi-attribute model, C2C e-commerce I.