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dc.contributor.authorHerrera Viedma, Enrique 
dc.contributor.authorPorcel Gallego, Carlos Gustavo 
dc.contributor.authorLópez Herrera, Antonio Gabriel 
dc.contributor.authorOlvera Lobo, María Dolores 
dc.date.accessioned2020-12-17T08:00:35Z
dc.date.available2020-12-17T08:00:35Z
dc.date.issued2004
dc.identifier.citationHerrera-Viedma E., Porcel C., López A.G., Olvera M.D., Anaya K. (2004) A Fuzzy Linguistic Multi-agent Model for Information Gathering on the Web Based on Collaborative Filtering Techniques. In: Favela J., Menasalvas E., Chávez E. (eds) Advances in Web Intelligence. AWIC 2004. Lecture Notes in Computer Science, vol 3034. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24681-7_3es_ES
dc.identifier.urihttp://hdl.handle.net/10481/64965
dc.description.abstractInformation gathering in Internet is a complex activity. A solution consists in to assist Internet users in their information gathering processes by means of distributed intelligent agents in order to find the fittest information to their information needs. In this paper we describe a fuzzy linguistic multi-agent model that incorporates information filtering techniques in its structure, i.e., a collaborative filtering agent. In such a way, the information filtering possibilities of multi-agent system on the Web are increased and its retrieval results are improved.es_ES
dc.description.sponsorshipResearch Project TIC2003-07977es_ES
dc.language.isoenges_ES
dc.publisherSPRINGERes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleA Fuzzy Linguistic Multi-agent Model for Information Gathering on the Web Based on Collaborative Filtering Techniqueses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1007/978-3-540-24681-7_3


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