Abstract：On the basis of studying the influencing factors of online reviews effectiveness, a review effectiveness index system is established. The fuzzy analytic hierarchy process is adopted to determine the relative weight of indexes, various indexes of reviews content are quantized by semantic mining, and the total effectiveness score is calculated for each review. In terms of the model application of this study, nearly 2 000 reviews on a product of China’s Tmall are selected to make an empirical analysis. The study and comparison indicates that, after being processed by the sequencing model, a large number of useless reviews are postponed, and those reviews at the forefront of the new sequence are very rich in information content and high in effectiveness, and can assist consumers in making purchase decisions effectively.
李志宇. 在线商品评论效用排序模型研究[J]. 现代图书情报技术, 2013, (4): 62-68.
Li Zhiyu. Study on the Reviews Effectiveness Sequencing Model of Online Products. New Technology of Library and Information Service, 2013, (4): 62-68.
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