TRUSTWORTHINESS OF THE USERS AND PRODUCTS BASED ONUSER REVIEWS ON ECOMMERCE SITES

Abstract

Internet has become one of the most important part of everyone’s life. There are billions and billions of internet users increasing every day. Shopping with e-commerce sites has also become an integral part of our routine because it has many advantages over the traditional shopping such as time consumption and large variety of options available on a single click. Even though no reasonable person will spend money at an untrustworthy online store no matter how usable and pretty the site may be. Trust in online site strongly affects consumers' purchase decisions. These decisions are mainly dependent on the reviews and findings written by the customers. In this paper we solely focus on the trust factors of the reviews written by the users on each product. We then calculate the trust factor of the product based on the calculated trust value.
The first section includes related work in this area. In the following sections we discuss the detailed algorithms, modules and some implementation techniques. The last section discusses conclusion and future scope for the problem.