BibTeX:

@article{IJIRSTV1I11135,
     title={BOOK RECOMMENDATION SYSTEM},
     author={Ms. Sushama Suresh Rajpurkar, Ms. Darshana Rajnikant Bhatt and Ms. Pooja Malhotra},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={314--316},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11135.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Recommendation systems are widely used to recommend products to the end users that are most appropriate. Online book selling websites now-a-days are competing with each other by many means. Recommendation system is one of the stronger tools to increase profit and retaining buyer. The book recommendation system must recommend books that are of buyer’s interest. This paper presents book recommendation system based on combined features of content filtering, collaborative filtering and association rule mining.

Association rule, Collaborative filtering, Content based filtering, Recommendation system