A Survey on Different Types of Recommendation Systems

Recommendation system is used for filtering of information that provide users with information that he/she is interested in. It also helps in addressing the information overload problem by retrieving information that is required by the user according to their preferences. Recommendation system also add value to the customer by increasing trust and customer loyalty. The rating or preference that the user give to an item, can be predicted using recommendation systems. It can be used in many applications such as movies, news, books, e-commerce etc. This paper focuses on different types of recommendation systems for various applications.