A Survey on E-Marketing by Behavioral Analysis in Online Social Network

Abstract

Online Social Network has become a great platform for many domains. It usually deals with huge amount of data. Data Mining is an essential factor in analyzing and making decisions in these voluminous data. E-Market is one such Domain, handling these type of huge data. Analyzing the behavior of each individual can create a good difference in profit of retailers in online shopping. The revenue of companies can be increased by integrating the shopping behavior of an individual with a recommendation system. Several challenges arise in the process of constructing an efficient recommendation system. Behavioral Analysis plays a major role in suggesting the right products to the customers. Since the Online Social Network is dynamic, the quality of results obtained should also be focused. This paper deals with the major factors involved in the construction of the Recommendation System such as Social Network Analysis, Behavioral Analysis, Data Mining Tasks and E-Market.