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New Technology of Library and Information Service  2014, Vol. 30 Issue (2): 63-71    DOI: 10.11925/infotech.1003-3513.2014.02.09
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Review of Product Review Spams Detection
Nie Hui, Wang Jiajia
School of Information Management, Sun Yat-Sen University, Guangzhou 510006, China
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Abstract  

[Objective] The paper cards existing study about online product review spam, summarizes research status, and puts forward future research direction. [Coverage] Almost 50 papers at home and abroad are searched via review/opinion spam as keywords from CNKI and Google scholar. [Methods] By literature analysis, the concept of product review spam is defined. The research area that review spam study belongs to is specified and key issues and challenges are presented in the paper. [Results] Product review spam refers to the untruthful reviews written for the purpose of inflating or damaging given products excessively or low quality reviews not being able to provide any help to customers. Due to the lack of reliable ground truth label of fake/no-fake review data, the analysis for reviewers' behavior is highlighted since it can be employed to solve the problem of fake review identification effectively if being combined with the features of review contents. [Limitations] Further study should be conducted on the creditability analysis for product review spam combined with fake review identification. [Conclusions] Product review spam detection is a kind of application studies corresponding to review creditability. Not only the review content specific features but also reviewers corresponding features should be fully explored for fake reviews detection. Moreover, the features with significant impact on fake review identification need to be highlighted specifically with the consideration of independence of feature variables.

Key wordsReview spam      Credibility of review      Helpfulness of review     
Received: 15 November 2013      Published: 06 March 2014
PACS:  TP391  

Cite this article:

Nie Hui, Wang Jiajia. Review of Product Review Spams Detection. New Technology of Library and Information Service, 2014, 30(2): 63-71.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2014.02.09     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2014/V30/I2/63

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