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Ocena technik klastrowania na potrzeby rekomendacji wiadomości

Ocena technik klastrowania na potrzeby rekomendacji wiadomości

Anitha Gatla / Ranjith Kumar Gatla

66,85 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Redes y comunicaciones informáticas
ISBN:
9786202324137
66,85 €
IVA incluido
Disponible

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Sobre IBD

Przeładowanie informacjami jest obecnie jednym z najważniejszych problemów. Można to zaobserwować w różnych dziedzinach, w tym w biznesie, zwłaszcza w wiadomościach. Jest to ważniejsze w odniesieniu do serwisów informacyjnych i sieci, gdzie wiarygodność serwisów informacyjnych jest zazwyczaj określana przez ilość wiadomości dodawanych do portalu. Najpopularniejsze serwisy informacyjne zawierają wiele artykułów dziennie. Klasycznym rozwiązaniem powszechnie stosowanym w celu rozwiązania problemu przeciążenia informacjami jest rekomendacja. W tej książce oceniamy MapReduce k-średnich i k-średnich rozmytych dla rekomendacji opartych na treści artykułów informacyjnych, opartych na odległości euklidesowej i wyszukiwaniu podobieństwa kosinusowego. Podejście to składa się z dwóch faz działania.

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