IMPLEMENTACJA CHATBOTA ZORIENTOWANEGO NA CEL W DOMENIE ZATRUDNIANIA

Paweł Drozda

UWM

Tomasz Żmijewski



Maciej Osowski



Aleksandra Krasnodębska



Arkadiusz Talun




Abstrakt

Niniejszy artykuł koncentruje się na implementacji zorientowanego na cel chatbota w celu przygotowania wirtualnych CV kandydatów na stanowisko pracy. W szczególności badanie zostało poświęcone testowaniu możliwości wykorzystania Deep Q Networks (DQN) do przygotowania efektywnego przepływu konwersacji chatbota z końcowym użytkownikiem systemu. Wyniki badania potwierdziły, że wykorzystanie modelu DQN w procesie szkolenia systemu konwersacyjnego pozwoliło na zwiększenie poziomu sukcesu, mierzonego jako akceptacja CV przez rekrutera i finalizacja rozmowy z botem. Wskaźnik sukcesu wzrósł z 10% do 64% w środowisku eksperymentalnym i z 15% do 45% w środowisku produkcyjnym. Co więcej, model DQN pozwolił na skrócenie rozmowy średnio o 4 pytania, z 11 do 7.


Słowa kluczowe:

chatbot, głęboka sieć Q (DQN), bot zorientowany na cel, Przetwarzanie języka naturalnego

Instytucje finansujące

EMPLOCITY S.A.


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Opublikowane
08-11-2023

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Drozda, P., Żmijewski, T., Osowski, M., Krasnodębska, A., & Talun, A. (2023). IMPLEMENTACJA CHATBOTA ZORIENTOWANEGO NA CEL W DOMENIE ZATRUDNIANIA. Technical Sciences, 26(26), 111–123. https://doi.org/10.31648/ts.9333

Paweł Drozda 
UWM
Tomasz Żmijewski 

Maciej Osowski 

Aleksandra Krasnodębska 

Arkadiusz Talun 




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Creative Commons License

Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa 4.0 Międzynarodowe.





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