期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：2
页码：661-664
出版社：TechScience Publications
摘要：Online reviews play a significant role in today’s ecommerce.Most of the customers now a days are depending onthe reviews and ratings for taking decisions of what to buy andfrom where to buy. Thus ,Pervasive spam, fake and maliciousreviews are affecting the decisions of customers while buyingproducts. These reviews also affects stores rating and impression.Without proper protection, spam reviews will cause gradual lossof credibility of the reviews and corrupt the entire online reviewsystems eventually. Therefore, review spam detection isconsidered as the first step towards securing the online reviewsystems. We aim to give overview of existing detectionapproaches in a systematic way, define key research issues, andarticulate future research challenges and opportunities for reviewspam detection. Opinion spam (or fake review) detection hasattracted significant research attention in recent years ,the problemis far from solved. In this survey ,we present various methods ofopinion spam detection.
