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A Survey on Recommendation System

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Debashis Das, Laxman Sahoo, Sujoy Datta

Debashis Das, Laxman Sahoo and Sujoy Datta. A Survey on Recommendation System. International Journal of Computer Applications 160(7):6-10, February 2017. BibTeX

	author = {Debashis Das and Laxman Sahoo and Sujoy Datta},
	title = {A Survey on Recommendation System},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {160},
	number = {7},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {6-10},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017913081},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Recommendation systems have become extremely common in recent years. It helps the customer to discover information and settle on choices where they do not have the required learning to judge a specific item. It can be utilized as a part of different diverse approaches to encourage its customer with effective information sorting. It is a software tool and techniques that provide suggestion based on the customer's taste to discover new appropriate thing for them by filtering personalized information based on the user's preferences from a large volume of information. Users taste and preferences should be constructed accurately in order to provide most relevant suggestions. This survey paper compare's and details the various type of recommender system and popular recommendation algorithms and its uses.


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Recommendation system, Types of the recommendation system, Feedback techniques