Detection of Spammer by using Rating Behaviors

Abstract

Opinion reviews on products are used by potential customers before deciding to purchase a product. Large volumes of reviews are posted to the Internet and detection of fake reviews is now a challenging research problem. Opinion spam or trustworthiness of online opinions is an important issue and this issue has been neglected so far. To the best of our knowledge, there is not many published study on this topic, although Web spam and email spam have been investigated extensively. This paper is presented spammer detection techniques that define the spammer score on rating behaviors of the reviewer. The experiment showed that the presented technique has comparatively effective spammer detection than other techniques based on rating behaviors.