A survey of methods of collaborative filtering techniques

Collaborative Filtering technique is a recognized technique used in recommender systems for providing useful recommendations to users. The domain dependent nature of Collaborative Filtering allows more diverse set of recommendations at the same time making the user interested in recommendation process. Cold start problem is the most inevitable problem in collaborative filtering which makes it difficult for systems to make suitable recommendations. There are various algorithms available for Collaborative filtering technique that try and alleviate cold start problem. This study deals with the Collaborative filtering approaches and analyses that how different algorithms are applied to real life problems. It also discusses the merits and drawbacks of each approach. This review concludes that hybrid approach performs better than the other collaborative filtering algorithms.