Collaborative Filtering for Bargaining and Customer Feedback in E-Commerce

With the growth of e-commerce nowadays, more and more consumers opt to do their shopping online. In reality customer can bargain for the products which the customer purchase, but in case of online bargain or discount based on customer purchase is not possible. For making bargain option and discount based on customer purchase via online an algorithm called collaborative filtering has been proposed. The customers are classified using Collaborative Filtering (CF) algorithm according to their frequent purchase and the area of interest in purchasing. This helps in providing offers for those customers so that the customer can able to bargain for the product to be purchased to their own interest. After purchase, ID will be generated for the customer with that the customer can review to the product. The review is classified as positive, negative and neutral. This really helps the seller in understanding the product.