An improved recommender system in publications e-commerce based on TOPSIS Algorithm

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.