NOVEL APPROACH OF RECOMMENDATION ON MOVIE DATA

Abstract

With constant advancement of web applications around the world, it is a challenge to find the suitable information needed for the user in a limited time. Without a proper recommender system, it is very cumbersome to get essential information from the web applications. For different kinds of requirements different types of recommender systems have been planned. This paper identifies crucial areas of research openly available for new researchers. After analyzing this paper new researchers can understand problems of recommender systems which need improvement and hence, they can make those problems as their area of research. The rating or preference that is given to an item, can be predicted using recommendation systems. The observations in this paper will directly support researchers to better understand present developments and new directions in the field of recommender systems using Artificial Intelligence.