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...
- 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