An intelligent approach to design and development of personalized meta search: Recommendation of scientific articles
Documento de Conferencia
2020
Universidad de la Costa
In this article we present a method to recommend articles scientists taking into account their degree of generality or specificity. In terms of methodology, two approaches are presented to recommend articles based on Topic Modeling. The first of these is based on the divergence of topics that are given in the documents, while the second is based on the similarity between these topics. After a validation process it was demonstrated that the proposed methods are more efficient than the traditional methods.
- Artículos científicos [3154]
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An intelligent approach to design and development of personalized meta search Recommendation of scientific articles.pdf
Título: An intelligent approach to design and development of personalized meta search Recommendation of scientific articles.pdf
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Título: An intelligent approach to design and development of personalized meta search Recommendation of scientific articles.pdf
Tamaño: 169.0Kb
PDFLEER EN FLIP
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