Paper Details

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

Binal M. Patel, Prof.Anita Anand, “COMPARISON OF COLLABORATIVE FILTERING ALGORITHM”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 12, pp. 79-82, December 2016.