A survey of recommender system feedback techniques, comparison and evaluation metrics

Recommender system is an application that filtered personalized information based on user preference from large information obtained. However, in order to provide effective and efficient recommendation it is necessary to accurately construct user´s interest and taste. In constructing the user interest and taste there is need to obtain accurate feedback from user on the recommendation. In order to achieve this, various Recommender Systems techniques can be employed. This paper intends to highlight various Recommender Systems, their merits and demerits; and overview of recommender System is discussed.