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Rekomendacje wiadomości na podstawie częstotliwości występowania terminów i podobieństwa dokumentów
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ISBN10: 6208912202
ISBN13: 9786208912208
Publisher: Wydawnictwo Nasza Wiedza
Published: May 31 2025
Pages: 52
Weight: 0.18
Height: 0.12 Width: 6.00 Depth: 9.00
Language: Polish
ISBN13: 9786208912208
Publisher: Wydawnictwo Nasza Wiedza
Published: May 31 2025
Pages: 52
Weight: 0.18
Height: 0.12 Width: 6.00 Depth: 9.00
Language: Polish
Nadmierne przeciążenie informacyjne stalo się ostatnio poważnym problemem. Powszechne stosowanie technologii ulatwilo życie, ale doprowadzilo również do latwego dostępu do tworzenia informacji. Istnieje kilka portali informacyjnych, na które codziennie trafia wiele informacji. W erze e-wiadomości czytanie wiadomości online stalo się powszechnym nawykiem. Ludzie chętniej czytają wiadomości w Internecie niż w gazetach lub innych mediach. Użytkownikom coraz trudniej jest znaleźc interesujące i popularne wiadomości w krótkim czasie. Obecnie stalo się to kluczowym wyzwaniem, ponieważ każdy ma inne upodobania i nawyki czytelnicze. Rozwiązaniem tego problemu jest system rekomendacji wiadomości. Opracowano system rekomendacji oparty na treści, który rekomenduje wiadomości na podstawie podobieństwa artykulów do zapytania i podobieństwa dokumentów. Do określenia podobieństwa zapytania w calym korpusie artykulów informacyjnych wykorzystuje się takie miary, jak częstotliwośc występowania terminów i podobieństwo dokumentów. Każdy dokument jest porównywany z każdym dokumentem dostępnym w korpusie, a następnie przeprowadzane jest dopasowanie treści w celu ustalenia wyniku podobieństwa. Wyniki są oceniane na dwóch różnych zestawach danych przy użyciu miar slużących do oceny trafności rekomendowanych artykulów informacyjnych.
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