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.
Cite
CITATION STYLE
Barga, R., Fontama, V., & Tok, W. H. (2015). Recommendation Systems. In Predictive Analytics with Microsoft Azure Machine Learning (pp. 243–262). Apress. https://doi.org/10.1007/978-1-4842-1200-4_12
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
