Review Spammer Detection by using Behaviors Based Scoring Methods
International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore · 2014
Product reviews posted at online shopping sites are read by potential customer before deciding to purchase a product. The quality is not control in posting review and trustworthiness of reviews is now a challenging research problem. There is not many published studies on t his topic although web spam and email spam has been investigated extensively. Spammer detection techniques that define spam score based on spamming behaviors of the reviewer are presented in this paper. Review similarity is an important factor to determine spammer. Therefore, all detailed review behaviors of reviewer are calculated if the reviewer writes similar reviews. Rating spam score is also calculated for that reviewer and the more spamming behaviors the reviewers make the more spamming scores they get. The experiments show that the presented technique has comparatively effective spammer detection than other technique based on helpfulness votes alone. Keywords—spammer detection, review behavior, scoring methods