A Survey of E-Commerce Recommender Systems

Abstract

Various personal services in business play important roles in the success of current marketing field. The personalized recommendation technique in recommender systems, one of the most important tools of personal service in websites, makes great significance in Internet marketing activities of e-Commerce. Through summarizing and analyzing personalized recommendation research, this paper presents an overview of personalized recommendation technique and proposes future research topics. The research content of this paper mainly includes the following three aspects, (1) the input of recommender systems, such as the acquisition and presentation of customers' interest profile as well as items profiles; (2) the typical methods of various recommendation techniques; and (3) based on current research and application situations, we finally discuss the future research hot topics and give some suggestions for the research on future recommendation technique.