A Novel Approach for Opinion Spam Detectionin E-Commerce
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ECDC08_087
تاریخ نمایه سازی: 6 آذر 1393
Abstract:
The World Wide Web has brought an enormous improvement in the lives of people, during the last couple of decades. Nowadays, most companies and businesses exploit Ecommerce to sell their products and services, to discover the market trend and to analyze their competitor’s activities. Opinion spams are those fake and untruth opinions which target companies or products to fame or defame them. However, to the best of our knowledge, previous works never considered both behavioural and linguistic features simultaneously. In this paper, we propose an iterative algorithm to detect fake reviews, review spammers and group of spammers at the same time. To accomplish this goal, we propose a new graph structure which considers all the features and entity relationships between reviews and reviewers. Experimental results prove that our algorithm outperforms all the other baseline approaches in terms of accuracy.
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Authors
Shirin Noekhah
University Technology of Malaysia
Erfan Fouladfar
Eastern Mediterranean University
Salim Naomie
Eastern Mediterranean University
Seyed Hamid Ghorashi
Faculty of Computing University Technology of Malaysia
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