Title

A document recommendation system using a document-similarity ontology

Author

RODRIGO VENCES NAVA

VICTOR HUGO MENENDEZ DOMINGUEZ

JORGE RICARDO GOMEZ MONTALVO

Access level

Open Access

Summary or description

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.

Publish date

July 31, 2016

Publication type

Article

Format

application/pdf

Source

urn:issn:1548-0992

Language

Spanish

Coverage

Generación de conocimiento

Audience

Researchers

Source repository

Repositorio Digital Institucional de la Universidad Autónoma de Yucatán

Downloads

0

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