"A Survey for Recommeder System " - With Latest Challenges

Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5468

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DC Field	Value	Language
dc.contributor.author	Patel, Jitali	-
dc.date.accessioned	2015-06-25T08:59:27Z	-
dc.date.available	2015-06-25T08:59:27Z	-
dc.date.issued	2014-06	-
dc.identifier.uri	http://hdl.handle.net/123456789/5468	-
dc.description	International Journal Of Advanced Research In Engineering & Technology, Vol. 5 (6), June, 2014, Page No. 15 - 22	en_US
dc.description.abstract	Today people are flooded with many options on internet. Recommender system collect information about the item according to the preferences of the users. Recommender system are successfully implemented in different e-commerce setting. The objective of this paper is to show various techniques being used for recommendation and to discuss various challenges especially for the web media sites.	en_US
dc.relation.ispartofseries	ITFCE035-1;	-
dc.subject	Collaborative Filtering	en_US
dc.subject	Content Based Filtering	en_US
dc.subject	Hybrid Filtering	en_US
dc.subject	Personalized Recommendation	en_US
dc.subject	Recommender System	en_US
dc.subject	Computer Faculty Paper	en_US
dc.subject	Faculty Paper	en_US
dc.subject	ITFCE035	en_US
dc.title	"A Survey for Recommeder System " - With Latest Challenges	en_US
dc.type	Faculty Papers	en_US
Appears in Collections:	Faculty Papers, CE

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