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A data driven approach for person name disambiguation in web search results

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dc.contributor.authorVíctor Fresno, Víctor
dc.contributor.authorMontalvo, Soto
dc.contributor.authorDelgado Muñoz, Agustín Daniel
dc.contributor.authorMartínez Unanue, Raquel
dc.date.accessioned2024-05-21T13:03:29Z
dc.date.available2024-05-21T13:03:29Z
dc.date.issued2014-08-23
dc.description.abstractThis paper presents an unsupervised approach for the task of clustering the results of a search engine when the query is a person name shared by different individuals. We propose an algorithm that calculates the number of clusters and establishes the groups of web pages according to the different individuals without the need to any training data or predefined thresholds, as the successful state of the art systems do. In addition, most of those systems do not deal with social media web pages and their performance could fail in a real scenario. In this paper we also propose a heuristic method for the treatment of social networking profiles. Our approach is compared with four gold standard collections for this task obtaining really competitive results, comparable to those obtained by some approaches with supervision.en
dc.description.versionversión final
dc.identifier.urihttps://hdl.handle.net/20.500.14468/19983
dc.language.isoen
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentLenguajes y Sistemas Informáticos
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.titleA data driven approach for person name disambiguation in web search resultses
dc.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
relation.isAuthorOfPublication387ad233-199b-4a04-98cb-488b89724355
relation.isAuthorOfPublication085ba044-ea75-4751-ab01-512f39c160a7
relation.isAuthorOfPublication.latestForDiscovery387ad233-199b-4a04-98cb-488b89724355
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