Recommendation Process SRI Web Document Recommender System

dc.contributor.author	Minteanu, Dan
dc.date.accessioned	2016-01-21T09:50:38Z
dc.date.available	2016-01-21T09:50:38Z
dc.date.issued	2008
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3916
dc.description	The Annals of "Dunarea de Jos" University of Galati	en_US
dc.description.abstract	This paper presents a recommender system for web documents (given as bookmarks). The system uses for classification a combination of content, event and collaborative filters and for recommendation a modified Pearson-r algorithm. The algorithm for recommendation is using not only the correlation between users but also the similarity between classes. Some experimental results that support this approach are also presented.	en_US
dc.language.iso	en	en_US
dc.publisher	"Dunarea de Jos" University of Galati	en_US
dc.subject	web document recommender system	en_US
dc.subject	content filtering	en_US
dc.subject	vector space model	en_US
dc.subject	collaborative	en_US
dc.title	Recommendation Process SRI Web Document Recommender System	en_US
dc.type	Article	en_US