Resumen

RODRIGUEZ LEYVA, Paúl et al. Computational model to develop information retrieval systems. Rev cuba cienc informat [online]. 2018, vol.12, n.1, pp.173-188. ISSN 2227-1899.

The field of information retrieval, since its inception in 1950, has provided tools that allow users to find answers to their needs and questions. In spite of confirming in the bibliographic studies the existence of several models of information retrieval, there are theoretical gaps related to aspects such as: the definition of scalable architectures for the support of all the hardware components of an information retrieval system, deep foundations of algorithms for the calculation of relevance, integration of components to support decision making with the basic structure of an information retrieval system and the necessary roles to execute the development and support of the fundamental tasks of the information retrieval process. The present research proposes a model that integrates the aforementioned variables and provides mechanisms to improve the process of information retrieval.

Palabras clave : computational model; information retrieval; relevance; search engine.

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