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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Dades bibliogràfiques
Autors principals:	Viltres-Sala, Hubert, Estrada-Sentí, Vivian, Febles-Rodríguez, Juan-Pedro, Jiménez-Moya, Gerdys-Ernesto
Format:	Online
Idioma:	eng
Publicat:	Universidad Pedagógica y Tecnológica de Colombia 2023
Matèries:	Personalized information retrieval query expansion user profile semantic annotation Recuperación de información personalizada expansión de consulta perfil de usuario anotación semántica
Accés en línia:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15208

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