Abstract: Recommender systems provide user with facilities that the user might be interested in. These systems provide options based on the pattern of usage, certain information and reference with certain characteristics to present recommendations to the user. This paper describes the classification of different recommender systems along with the limitations of each. It also covers some real world applications of recommender systems and possible systems that can be built using recommender system algorithms.