Razgovorni agent za korisničku podršku temeljen na dubokom učenju

Dulčić, Luka

prikaz prve stranice dokumenta Razgovorni agent za korisničku podršku temeljen na dubokom učenju

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master's thesis

Razgovorni agent za korisničku podršku temeljen na dubokom učenju

Dulčić, Luka (2018)

University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

APA 6th Edition

Dulčić, L. (2018). Razgovorni agent za korisničku podršku temeljen na dubokom učenju (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:289995

MLA 8th Edition

Dulčić, Luka. "Razgovorni agent za korisničku podršku temeljen na dubokom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:289995

Chicago 17th Edition

Harvard

Dulčić, L. (2018). 'Razgovorni agent za korisničku podršku temeljen na dubokom učenju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 June 2020, https://urn.nsk.hr/urn:nbn:hr:168:289995

Vancouver

Dulčić L. Razgovorni agent za korisničku podršku temeljen na dubokom učenju [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2020 June 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:289995

IEEE

L. Dulčić, "Razgovorni agent za korisničku podršku temeljen na dubokom učenju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:289995

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:289995

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Metadata

Title	Razgovorni agent za korisničku podršku temeljen na dubokom učenju
Title (english)	Customer Support Chatbot Based on Deep Learning
Author	Luka Dulčić
Mentor	Jan Šnajder (mentor)
Committee member	Jan Šnajder (predsjednik povjerenstva)
Committee member	Marko Čupić (član povjerenstva)
Committee member	Alan Jović (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2018-07-16, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Abstract	Virtualni razgovorni agenti chatbot u današnjem svijetu pronalaze sve više praktičnih primjena, jedna od tih je korištenje takvih razgovornih agenata u službi za korisnike. Ovaj rad implementira prototip virtualnog razgovornog agenta službe za korisnike pomoću modela strojnog učenja sekvenca u sekvencu. Funkcionalnost modela je evaluirana na nekoliko službi za korisnike te je iznesen osvrt na ovakve razgovorne agente.
Abstract (english)	Virtual conversational agents are nowadays finding more and more practical applications, one of those applications is customer support conversational agent. This paper implements a prototype of customer support conversational agent using machine learning sequence to sequence model. Model functionality is evaluated on several customer supports, also a general overview of customer support conversational agents is presented.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:289995
Study programme	Title: Computing Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Public note
Created on	2019-03-13 20:04:43