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
Description
Summary: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 of computer science. In its evolution, it is intended to include recommendations from authors for each of its users’ queries. The generation of such recommendations requires a method capable of classifying the authors in order to define their inclusion and position in a list of suggestions for the end-user. This paper presents a method that fulfills this objective, after being evaluated and having obtained results that allow to propose its inclusion in later development of the recommendation system.