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New Technology of Library and Information Service  2015, Vol. 31 Issue (9): 17-25    DOI: 10.11925/infotech.1003-3513.2015.09.03
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Research on Metrics-Model for Online Product Review Depth Based on Domain Expert and Feature Concept Tree of Products
Wang Zhongqun, Huang Subin, Xiu Yu, Zhang Yi
School of Management Engineering, Anhui Polytechnic University, Wuhu 241000, China
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[Objective] Solve the problem which only use the length of online product review to measure the review depth. [Methods] In this paper, a metrics-model for online product review depth is proposed. Firstly, on the basis of analyzing the demand information of customers for making decision, the concept of review depth is defined and feature concept tree of product is introduced. Secondly, the metrics-model for measuring product review depth is presented according to the features of the product review from domain experts and the distribution of product features over feature concept tree of product. [Results] Empirical study demonstrates that the metrics-model is identical to the model for review helpfulness, and the result shows that the model is feasible. [Limitations] This paper does not involve the product usage scenario of consumers and the review depth measurement for experience products. [Conclusions] The metrics-model can measure product review depth more accurately.

Received: 03 March 2015      Published: 06 April 2016
:  G202  

Cite this article:

Wang Zhongqun, Huang Subin, Xiu Yu, Zhang Yi. Research on Metrics-Model for Online Product Review Depth Based on Domain Expert and Feature Concept Tree of Products. New Technology of Library and Information Service, 2015, 31(9): 17-25.

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