BOOK RECOMMENDATION SYSTEM
DOI:
https://doi.org/10.65521/mjret.v3i2.1030Keywords:
Association rule mining
Collaborative filtering (CF)
content based filtering (CBF)
Recommendation system
Abstract
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.
Downloads
Published
2016-04-02
How to Cite
Shah, S., Motala, A., Thombre, N., & Ugale, C. (2016). BOOK RECOMMENDATION SYSTEM. Multidisciplinary Journal of Research in Engineering and Technology, 3(2), 977–981. https://doi.org/10.65521/mjret.v3i2.1030
Issue
Section
Articles
