Abstract:
Assessing the trustworthiness of reviews is a
key issue for the maintainers of opinion such as
Amazon.com. Opinion reviews on products and services
are used by potential customers before deciding to
purchase a product. An important issue that has been
neglected so far is opinion spam or trustworthiness of
online opinions. To the best of our knowledge, there is
still little published study on this topic, although Web
spam and email spam have been investigated
extensively. This paper presents spammer detection
techniques to calculate spam score of each user based
on their rating and review similarity on the target
products. The experiment showed that the presented
technique has comparatively spammer detection with
less computation than others.
