ABSTRACT

Recommender System is a system that automatically recommends all similar kind of items that are of user interest. In design of the recommender systems rating is the crucial issue. Till today many algorithms have been proposed for efficient recommendation but they still requires further improvements to make it more effective. In this paper we address the limitations of recommendation methods and propose a possible model to address the First rater problem(Sparse Rating) of the collaborative based approach to improve recommendation capabilities for a broader range of applications.