Survey of Cold-start Problem in Collaborative Filtering Recommender System

Recommender systems have been widely used as an important response to information overload problem which leads consumers to locate the right information at the right time accurately and rapidly.The most successful and popular technique of such systems is collaborative filtering.However,collaborative filtering faces a key challenge of the cold-start problem.This paper first illustrates the cause of the cold-start problem and then tables the significance of cold-start problem research.The core of this paper is to summarize the existing algorithms which are used for addressing the cold-start problem.In order to facilitate users to choose the right algorithm to tackle the cold-start problem in collaborative filtering,it compares the performance and respective advantage and disadvantage of different algorithms.