Recommender for Reputation Assessment

Abstract

In this digital world, E-commerce business is boosting at a tremendous rate. It provides the convenience of choosing the best product from anywhere and at any time. It gives the details of products and services without visiting brick and mortar stores. The problem arises when the customer must choose one product from the pool of digital libraries. There are many e-commerce websites which use recommender systems to assist the customers in buying the best option. Websites like buyhatke.com and Pricedekho.com etc. compare the products from different websites and give recommendations based on price and features only. In this paper we consider recommender system named “Get the Best, Leave the Rest” (GBLR) that compares the product from different websites at the backend and then give the ranking based on different trust factors. Hence the user gets the most reputed website in the increasing order with its product details. This system makes the shopping experience easy and enjoyable