BOOK RECOMMENDATION SYSTEM
Article Sidebar
Published:
Apr 2, 2016
Keywords:
Association rule mining, Collaborative filtering (CF), content based filtering (CBF), Recommendation system
Main Article Content
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.
Article Details
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. Retrieved from https://journals.mriindia.com/index.php/mjret/article/view/1030
Section
Articles