A Trustworthy Sort Method for Shopping Customer Reviews Based on Correlation Degree with Product Features

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Abstract:

Nowadays, customers can freely express shopping thoughts and reviews in e-commerce web sites. It results that people may be lost in the massive shopping reviews and cannot distinguish trusted reviews. This paper carries out a study on the trustworthy reviews in e-commerce web sites. We use the technique of words similarity to analyze the correlation degree between product features and customer reviews contents, and then propose a trustworthy sort method for shopping customer reviews.

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5542-5547

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] A. Ghose, P.G. Ipeirotis. Deigning novel review ranking systems predicting the usefulness and impact of reviews. Proceedings of the Ninth International Conference on Electronic Commerce, 2007, pp.303-310.

DOI: 10.1145/1282100.1282158

Google Scholar

[2] W. Jiang, L. Zhang. Online review helpful analysis user-oriented requirements elicitation. Journal of Computers, 2013, 36(1): 119-131.

Google Scholar

[3] Y. Huang, Z. He, X. Wu. User reviews classification. Computer Applications, 2009, 29 (3): 61-63.

Google Scholar

[4] Q. Liu, H. Zhang, H. Yu. Chinese lexical analysis based on layered hidden markov model. Computer Research and Development, 2004, 41(8): 1421-1429.

Google Scholar

[5] J. Tian, W. Zhao. Synonyms cilin based word similarity calculation method. Journal of Jilin University: Information Science, 2010, 28 (6): 602-608.

Google Scholar

[6] ipone4s. http: /item. taobao. com/item. htm?spm=1020. 3. 9. 14. 3XnClW&id=35859279276.

Google Scholar