Volume 7, Issue 1 (3-2015)                   itrc 2015, 7(1): 63-74 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Abbasimehr H, Tarokh M J. A New Approach to Compute a Realistic Credibility Rank for Reviewers Using Fuzzy Inference . itrc 2015; 7 (1) :63-74
URL: http://journal.itrc.ac.ir/article-1-110-en.html
A New Approach to Compute a Realistic Credibility Rank for Reviewers Using Fuzzy Inference
Hossein Abbasimehr , Mohammad Jafar Tarokh
Abstract:   (2957 Views)
Online product review websites as one of the examples of Web 2.0 websites allow users share their ideas and opinions about various products and services. Although online reviews as a user-generated content can be considered as an invaluable source of information for both consumers and firms, these reviews vary greatly in term of quality and credibility. To tackle the problem of low quality reviews, we address reviewer credibility and propose a novel and feasible framework for ranking reviewers in terms of credibility. The proposed framework exploits four kinds of features including social network, profile, engagement and knowledge to quantify reviewer credibility dimensions and utilize a fuzzy inference system to calculate credibility scores of reviewers in a cognitive approach. To illustrate an application of the proposed method, we conduct an experimental study using real data gathered from Epinions. The proposed framework can support marketing departments in identifying the most credible reviewers.
Keywords: Social Web, Online Reviews, Reviewer Credibility, Social Network, Shannon Entropy, Fuzzy Inference Systems
Full-Text [PDF 2009 kb]   (1490 Downloads)    
Type of Study: Research | Subject: Information Technology
Add your comments about this article : Your username or Email:
CAPTCHA
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.