Book recommendation system based on collaborative filtering and association rule mining for college students

Recommendation systems are tools in e-commerce websites which helps user to find the appropriate products. With the rapid development of internet technologies the number of online book selling websites has increased which enhanced the competition among them. This paper presents online book recommendation system for students reading textbooks. The main motive of this paper is to develop the technique which recommends most suitable books to the students according to their price range and publisher's name. This is based on the combined features of classification, user based collaborative filtering and association rule mining.