COMPARISON OF COLLABORATIVE FILTERING ALGORITHM

Abstract

Collaborative filtering recommendation is widely used in today’s world. Main problem in CF algorithm is
scalability and cold start problem. Many algorithms used to solve this problem but they take more time to calculate
Recommendation.To get more accuracy we use hybrid method. In hybrid method first we compute the average rating of items
and store them in two vectors and then identify similar items then we compute user similarity and finally make
recommendation. Proposed CF algorithm gives more accurate recommendation.