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dc.contributor.authorSangüesa i Sole, Ramon
dc.contributor.authorVázquez Huerga, Alberto
dc.contributor.authorVázquez Salceda, Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2022-07-15T11:36:24Z
dc.date.available2022-07-15T11:36:24Z
dc.date.issued2001-04
dc.identifier.citationSangüesa, R.; Vazquez, A.; Vazquez-Salceda, J. The ACE recommender system. 2001.
dc.identifier.urihttp://hdl.handle.net/2117/370272
dc.description.abstractIn this report we present the ACE Recommender System, a system built using the Multi Agent technology. In a practical way we study the use of cognitive and collaborative filtering to improve the accuracity of the recommendations. We also show the way the user and the documents are modelled in the ACE system to combine this two aproaches. Finally some results are presented and discussed.
dc.format.extent18 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-01-21-R
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshRecommender systems (Information filtering)
dc.subject.lcshMultiagent systems
dc.subject.otherSoftware agents
dc.subject.otherMultiagent systems
dc.subject.otherRecommender systems
dc.subject.otherCollaborative filtering
dc.subject.otherUser modeling
dc.titleThe ACE recommender system
dc.typeExternal research report
dc.subject.lemacSistemes recomanadors (Filtratge d'informació)
dc.subject.lemacSistemes multiagent
dc.contributor.groupUniversitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
dc.rights.accessOpen Access
local.identifier.drac1847614
dc.description.versionPreprint
local.citation.authorSangüesa, R.; Vazquez, A.; Vazquez-Salceda, J.


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