Information Retrieval Model with Query Expansion and User Preference Profile

Understanding the user's search intention enables identifying and extracting the most relevant and personalized search results from the available information, according to the user's needs. This paper proposes an algorithm for relevant information retrieval that combines user preferences p...

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Détails bibliographiques

Auteurs principaux:	Viltres-Sala, Hubert, Estrada-Sentí, Vivian, Febles-Rodríguez, Juan-Pedro, Jiménez-Moya, Gerdys-Ernesto
Format:	Online
Langue:	eng
Publié:	Universidad Pedagógica y Tecnológica de Colombia 2023
Sujets:	Personalized information retrieval query expansion user profile semantic annotation Recuperación de información personalizada expansión de consulta perfil de usuario anotación semántica
Accès en ligne:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15208