An improved recommender system in publications e-commerce based on TOPSIS Algorithm
Liang Wang, Huan Ruan · 2011
As the rapid development of information technology and Internet technology, e-commerce quickly spreads as a new and efficient business model. Now customers can click the mouse in front of the computer to complete the complex behavior of commodity trading. E-commerce brings not only convenient, but also the issue of "information overload" and "lost resources". Customers in a large number of commodity spaces can not successfully find the products they need. In this paper, we talked about an improved personalized recommendation system for publication e-commerce based on Based on TOPSIS Algorithm. Using this model, website can collect customers' information for data mining and analyze customer behavior, finally predict their preference to its recommendation that they really interested in personalized products or services.