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Badenes Olmedo, Carlos (2015). RESSIST: a research object-based recommender system. Tesis (Master), E.T.S. de Ingenieros Informáticos (UPM).
| Título: | RESSIST: a research object-based recommender system |
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| Tipo de Documento: | Tesis (Master) |
| Título del máster: | Inteligencia Artificial |
| Fecha: | Julio 2015 |
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| Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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The scientific method is a methodological approach to the process of inquiry { in which empirically grounded theory of nature is constructed and verified [14]. It is a hard, exhaustive and dedicated multi-stage procedure that a researcher must perform to achieve valuable knowledge. Trying to help researchers during this process, a recommender system, intended as a researcher assistant, is designed to provide them useful tools and information for each stage of the procedure. A new similarity measure between research objects and a representational model, based on domain spaces, to handle them in dif ferent levels are created as well as a system to build them from OAI-PMH (and RSS) resources. It tries to represents a sound balance between scientific insight into individual scientific creative processes and technical implementation using innovative technologies in information extraction, document summarization and semantic analysis at a large scale.
| ID de Registro: | 37126 |
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| Identificador DC: | http://oa.upm.es/37126/ |
| Identificador OAI: | oai:oa.upm.es:37126 |
| Depositado por: | Biblioteca Facultad de Informatica |
| Depositado el: | 17 Jul 2015 07:51 |
| Ultima Modificación: | 09 Oct 2015 11:31 |