Survey on Collaborative Filtering Technique in Recommendation System
Omkar S. Revankar · 2015
This article presents an overview of recommendation System and illustrates the present generation of recommendation techniques. These techniques are usually categorized into three main classes as Collaborative Filtering (CF), Content-Based Filtering (CBF), and Hybrid Recommendation approaches. CF is a framework for filtering information based on the preferences of users. This technique can predict a user’s preferred items by using the user’s known history data as well as other users’ known history data, and then recommends items to the user. This paper is focused on collaborative filtering; its types and its major challenges for instance cold start problem, data sparsity, scalability and accuracy.