A Survey on Various Techniques for Big Data Recommendation System

Abstract

Big data is an arising technology that refers the size of the database which is very big. To handle the huge data within a particular time is very challenge one and computational time is more. Lot of benefits provided by the big data to the users but they spent more time to fetch their relevant data. This type of problem is known as information overload. To overcome the information overload problem the recommendation system is used. It is used for finding required information from the large data. This system helps the users to give the required information based on the user’s wants and their favorites. It reduces the user’s spending time in browsing to fetch their relevant data and also it is providing the communication between users and the products. The different types of recommendation system are proposed by many researchers during the last few years. This paper attempts to detailed survey on recommendation system based on big data. It also discusses merits and demerits and surveyed big data recommendation system and provides a suggestion for further improvement in big data recommendation system effectively