چکیده مقاله
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
کلیدواژهها
نویسندگان
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
شیوه ارجاع
Noekhah, Shirin and Fouladfar, Erfan and Naomie, Salim and Ghorashi, Seyed Hamid,1393,A Novel Approach for Opinion Spam Detectionin E-Commerce,8th International Conference on e-Commerce with focus on E-Trust,Mashhad
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