Recommender Systems in E-Commerce
Lopamudra Mohanty, Laxmi Saraswat, Puneet Garg, Sonia Lamba
Abstract
Recommendations as a social process play an important role when people rely on external knowledge to make decisions about the artifact of interest. A recommendation system is an intelligent program that generates a high-quality list of items that a user may be interested in. Today, there are a huge variety of different methods and algorithms for filtering data and providing recommendations. Recommendations can be divided into three main categories: Collaborative Sorting, Content-Based Recommendations and Integrated Recommendations. This paper compares and describes these methods and discusses their limitations by describing the problems plagued by recommendations.E-commerce platform makes easy to sell and buy products on a large customer base. Customers now search on Google instead of directly going certain e-commerce site. E-commerce website helps customers to narrow down their comprehensive ideas and be able to complete the product.