Comparative analysis of a recommender system based on ant colony optimization and artificial bee colony optimization algorithms

Recommender systems are the backbone of electronic commerce sites like amazon.in, netflix and flipkart.com which not only helps in achieving better customer satisfaction but also helps in bringing those products into the notice of the customer which are not easily seen by the customer but it helps in increasing the business of such e-commerce sites. This paper present a movie recommender system that uses collaborative filtering technique of recommender system and apply Ant Colony Optimization and Artificial Bee Colony Optimization and also compare the two algorithms on the basis of CPU Time and two standard functions.