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dc.creatorViloria, Amelec
dc.creatorCrissien Borrero, Tito José
dc.creatorPineda, Omar
dc.creatorPertuz, Luciana
dc.creatorOrellano, Nataly
dc.creatorVargas Mercado, Carlos
dc.date.accessioned2021-01-21T13:39:46Z
dc.date.available2021-01-21T13:39:46Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/11323/7742
dc.description.abstractThe search for scientific production on the web has become a challenge, both in terms of volume, variety and updating speed. It requires tools that help the user to obtain relevant results when executing a query. Within these tools, this team has developed a specific meta-search engine for the area of computer science. In its evolution, it is intended to include recommendations from authors for each of its users’ queries. The generation of such recommendations requires a method capable of classifying the authors in order to define their inclusion and position in a list of suggestions for the end-user. This paper presents a method that fulfills this objective, after being evaluated and having obtained results that allow to propose its inclusion in later development of the recommendation system.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherCorporación Universidad de la Costaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceSmart Innovation, Systems and Technologiesspa
dc.subjectBibliometric indicatorsspa
dc.subjectScientific dataspa
dc.subjectScientific authorsspa
dc.subjectClassification schemespa
dc.subjectRecommendation systemsspa
dc.titleClassification of authors for a recommendation process integrated to a scientific meta-search enginespa
dc.typearticlespa
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dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionspa
dc.source.urlhttps://link.springer.com/chapter/10.1007/978-981-15-4875-8_14spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1007/978-981-15-4875-8_14


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