Title :
Book recommendation system based on collaborative filtering and association rule mining for college students
Author :
Tewari, Anand Shanker ; Priyanka, Kumari
Author_Institution :
CSE Dept., NIT Patna, Patna, India
Abstract :
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.
Keywords :
Web sites; classification; collaborative filtering; data mining; electronic commerce; electronic publishing; recommender systems; Internet technology; association rule mining; book recommendation system; classification; college student; e-commerce Web sites; online book selling Web sites; price range; publishers name; user based collaborative filtering; Association rules; Books; Collaboration; Correlation; Filtering; Lead; Association rule; Classification; Recommendation system; User based collaborative filtering;
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
DOI :
10.1109/IC3I.2014.7019651
