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undergraduate thesis
Sustav za preporuku u ASP.NET MVC tehnologiji
2017. urn:nbn:hr:225:760921
Derk, Matija
Algebra University College

Cite this document

Derk, M. (2017). Sustav za preporuku u ASP.NET MVC tehnologiji (Undergraduate thesis). Zagreb: Algebra University College. Retrieved from https://urn.nsk.hr/urn:nbn:hr:225:760921

Derk, Matija. "Sustav za preporuku u ASP.NET MVC tehnologiji." Undergraduate thesis, Algebra University College, 2017. https://urn.nsk.hr/urn:nbn:hr:225:760921

Derk, Matija. "Sustav za preporuku u ASP.NET MVC tehnologiji." Undergraduate thesis, Algebra University College, 2017. https://urn.nsk.hr/urn:nbn:hr:225:760921

Derk, M. (2017). 'Sustav za preporuku u ASP.NET MVC tehnologiji', Undergraduate thesis, Algebra University College, accessed 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:225:760921

Derk M. Sustav za preporuku u ASP.NET MVC tehnologiji [Undergraduate thesis]. Zagreb: Algebra University College; 2017 [cited 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:225:760921

M. Derk, "Sustav za preporuku u ASP.NET MVC tehnologiji", Undergraduate thesis, Algebra University College, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:225:760921

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Metadata
TitleSustav za preporuku u ASP.NET MVC tehnologiji
AuthorMatija Derk
MentorGoran Đambić (mentor)
GranterAlgebra University College
Zagreb
Defense date and country2017-03-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu obrađuje se izrada sustava za preporuku filmova. Prvi dio rada sastoji se od teoretskog pregleda metoda, tehnika i algoritama vezanih za temu. Posebno se ističe računanje sličnosti na temelju Pearsonove korelacije te algoritmi kolaboracijskog filtriranja, odnosno inačica algoritma proizvod-proizvod koja se koristi u ovom radu. Zatim se prolazi kroz neke druge oblike sustava za preporuku čije su prednosti i nedostaci komplementarni. Slijedi kratko poglavlje o evaluaciji sustava i zaštiti od zlonamjernih korisnika. Posljednje poglavlje bavi se konkretnim programskim rješenjem sustava za preporuku filmova u ASP.NET MVC tehnologiji.
Abstract (english)
The central theme of this thesis is building a recommendation system for movies. First chapter of the thesis contains theoretical overview of various methods, techniques and algorithms related to the central theme. Additional focus is given to calculation of similarity based on Pearsons correlation and to collaborative filtering algorithms, especially to item-item algorithm which is used in this thesis. Next chapter is about different recommendation algorithms which can be used together to complement each others strengths and weaknesses. Following chapter is about evaluation of recommendation systems and protection against malicious users. Final chapter reviews the pragmatic aspect of the system for movie recommendation which was built in ASP.NET MVC technology.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:225:760921
Study programmeTitle: Computer Engineering - Undergraduate Professional Program
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2018-11-23 10:14:43