Classification Process in a Text Document Recommender System

dc.contributor.author	Munteanu, Dan
dc.contributor.author	Bumbaru, Severin
dc.date.accessioned	2016-01-13T07:50:56Z
dc.date.available	2016-01-13T07:50:56Z
dc.date.issued	2005
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3857
dc.description	The Annals of "Dunarea de Jos" University of Galati	en_US
dc.description.abstract	This paper presents the classification process in a recommender system used for textual documents taken especially from web. The system uses in the classification process a combination of content filters, event filters and collaborative filters and it uses implicit and explicit feedback for evaluating documents.	en_US
dc.language.iso	en	en_US
dc.publisher	"Dunarea de Jos" University of Galati	en_US
dc.subject	information systems	en_US
dc.subject	information analysis	en_US
dc.subject	machine learning	en_US
dc.title	Classification Process in a Text Document Recommender System	en_US
dc.type	Article	en_US