Review and Analysis of Recommender Systems
Jieun Son, Seoung Bum Kim, Hyunjoong Kim, Sungzoon Cho · Journal of Korean Institute of Industrial Engineers · 2015
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems. Recommender systems are personalized information filtering used to identify a set of items that will be of interest to a certain user. This paper reviews recommender systems and presents their pros and cons.