EPRT- An Ingenious Approach for E-Commerce Website Ranking

摘要

The purpose of this paper is to discuss some of the earlier proposed E-Commerce website ranking algorithms, models and concept of webpage recommendation and propose a system that can help in efficient ranking of E-Commerce websites in accurate and in minimal time. This paper uses data mining and machine learning algorithms to rank the e-commerce website based on time spent by the previous customer on a particular website, no. of the recommended links clicked and feedback obtained from user. To perform the website ranking, E-Commerce Page Ranking Tool (EPRT) is implemented from proposed algorithm. The proposed system functioning is based on user action. It mines the data and gives the result. An extensive experimental and graphical evaluation shows that the website ranking precision of proposed E-Commerce Page Ranking Tool is more precise and accurate than IMSSE-tool [4].