Título
A document recommendation system using a document-similarity ontology
Autor
RODRIGO VENCES NAVA
VICTOR HUGO MENENDEZ DOMINGUEZ
JORGE RICARDO GOMEZ MONTALVO
Nivel de Acceso
Acceso Abierto
Materias
Resumen o descripción
In this paper, we present a proposal for searching, retrieving and recommending documents, based on the similarity of their content, using an ontology of the type “Friend of a Friend” that establishes, if it is the case, the transitivity of similarity between the document selected by the user and the other documents in the repository. Document similarity is calculated as the cosine of the angle between the vectors of terms that represent them. The Vector Space Model is used for representing the documents and the weight of the terms is obtained by using the TF-IDF metric. The architecture that implements the proposal is presented as well as experimental results.
Fecha de publicación
31 de julio de 2016
Tipo de publicación
Artículo
Recurso de información
Formato
application/pdf
Fuente
urn:issn:1548-0992
Idioma
Español
Cobertura
Generación de conocimiento
Audiencia
Investigadores
Repositorio Orígen
Repositorio Digital Institucional de la Universidad Autónoma de Yucatán
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