A Survey Study in Recommendation Systems for E-Commerce Websites

Abstract

Electronic Commerce is process of doing business through computer networks. A person sitting on his chair in front of a computer can access all the facilities of the Internet to buy or sell the products. Today there is a big variety of different approaches and algorithms of data filtering and recommendation. In this paper we describe the recommendation system related research and then introduces various techniques and approaches used by the recommender system User-based approach, Item based approach, Hybrid recommendation approaches and related research in the recommender system. One way to do this is to target customers with the particular offers most likely to attract them back to the store and to spend more time and money on their next visit. Demographic market segmentation is an approach to segmenting markets. A company divides the larger market into groups based on several defined criteria. Age, gender, marital status, occupation, education, locality and income are among the commonly considered demographics segmentation criteria.