The Audiomomma Music Recommendation System

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7234

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DC Field	Value	Language
dc.creator	Alvira, Mariano	-
dc.creator	Paris, Jim	-
dc.creator	Rifkin, Ryan	-
dc.date	2004-10-20T21:03:36Z	-
dc.date	2004-10-20T21:03:36Z	-
dc.date	2001-07-01	-
dc.date.accessioned	2013-10-09T02:48:37Z	-
dc.date.available	2013-10-09T02:48:37Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-2001-012	-
dc.identifier	CBCL-199	-
dc.identifier	http://hdl.handle.net/1721.1/7234	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	We design and implement a system that recommends musicians to listeners. The basic idea is to keep track of what artists a user listens to, to find other users with similar tastes, and to recommend other artists that these similar listeners enjoy. The system utilizes a client-server architecture, a web-based interface, and an SQL database to store and process information. We describe Audiomomma-0.3, a proof-of-concept implementation of the above ideas.	-
dc.format	10 p.	-
dc.format	2186561 bytes	-
dc.format	257129 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-2001-012	-
dc.relation	CBCL-199	-
dc.subject	AI	-
dc.title	The Audiomomma Music Recommendation System	-
Appears in Collections:	MIT Items

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