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...

Полное описание

Библиографические подробности
Главные авторы:	Viltres-Sala, Hubert, Estrada-Sentí, Vivian, Febles-Rodríguez, Juan-Pedro, Jiménez-Moya, Gerdys-Ernesto
Формат:	Online
Язык:	eng
Опубликовано:	Universidad Pedagógica y Tecnológica de Colombia 2023
Предметы:	Personalized information retrieval query expansion user profile semantic annotation Recuperación de información personalizada expansión de consulta perfil de usuario anotación semántica
Online-ссылка:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15208

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