Clickstream & behavioral analysis with context awareness for e-commercial applications

Abstract

The widespread eminence of internetworking plays a vital role in revolutionizing the commercial domain. Prior to make purchases, people spend a lot of time on the internet to gather information and feedback, so as to better direct their decisions. Since, customers are not present in person in the stores they can easily shift from one supplier to the other via online portals. From business point of view, this could be harmful for the profit and propaganda of traders. In this research, the prime focus is to overcome such problems confronted by trading industries. Our proposed model analyses ‘Clickstream Events’ of online users along with set of contextual details for providing better recommendations. Recording the behavior of several users can help industries to discover habits and tendencies of user, which can lead to even better and effective decisions to improve business profit and its market coverage. Further, our proposed model aims at discovering the relationship between various items, from the context of user interest. Market Basket Analysis is performed that assists the user with appropriate options while purchasing products along with items already purchased, thereby offering better buying experience.