Comparative Study of Filtering Methods for Scientific Research Article Recommendations

Given the daily influx of scientific publications, researchers often face challenges in identifying relevant content amid the vast volume of available information, typically resorting to conventional methods like keyword searches or manual browsing. Utilizing a dataset comprising 1895 users and 3122...

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Detalles Bibliográficos

Autores principales:	Driss El Alaoui, Jamal Riffi, Abdelouahed Sabri, Badraddine Aghoutane, Ali Yahyaouy, Hamid Tairi
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-12-01
Colección:	Big Data and Cognitive Computing
Materias:	recommendation systems scientific articles collaborative filtering content-based recommendation hybrid approach
Acceso en línea:	https://www.mdpi.com/2504-2289/8/12/190
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