RESSIST: a research object-based recommender system

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
  • Badenes Olmedo, Carlos
  • Corcho, Oscar
Tipo de Documento: Tesis (Master)
Título del máster: Inteligencia Artificial
Fecha: Julio 2015
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.

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ID de Registro: 37126
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Identificador OAI:
Depositado por: Biblioteca Facultad de Informatica
Depositado el: 17 Jul 2015 07:51
Ultima Modificación: 09 Oct 2015 11:31
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