A recommender system is an Information Retrieval [1] technology that improves access and dynamically recommends relevant items to users by considering their precisely mentioned preferences and objective behavior. Recommender system is one of the major techniques that deal with the problem of information overload by suggesting users with relevant and appropriate items. They basically direct users towards particularly those items which can meet their needs cutting down large database of Information in the process. This paper identifies the issues faced by the current systems and tries to solve them by using a hybrid system of content based and collaborative filtering technique to achieve better and more accurate performance.