Classification of authors for a recommendation process integrated to a scientific meta-search engine

The search for scientific production on the web has become a challenge, both in terms of volume, variety and updating speed. It requires tools that help the user to obtain relevant results when executing a query. Within these tools, this team has developed a specific meta-search engine for the area...

Full description

Autores:
Viloria, Amelec
Crissien Borrero, Tito José
Pineda, Omar
Pertuz, Luciana
Orellano, Nataly
Vargas Mercado, Carlos
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7742
Acceso en línea:
https://hdl.handle.net/11323/7742
https://doi.org/10.1007/978-981-15-4875-8_14
https://repositorio.cuc.edu.co/
Palabra clave:
Bibliometric indicators
Scientific data
Scientific authors
Classification scheme
Recommendation systems
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International