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...
| Autori principali: | , , , |
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| Natura: | Online |
| Lingua: | eng |
| Pubblicazione: |
Universidad Pedagógica y Tecnológica de Colombia
2023
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| Soggetti: | |
| Accesso online: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15208 |
