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undergraduate thesis
Preporučiteljski sustav zasnovan na podacima o interakciji na Facebooku
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:283235
Hrestak, Domagoj
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Hrestak, D. (2015). Preporučiteljski sustav zasnovan na podacima o interakciji na Facebooku (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:283235

Hrestak, Domagoj. "Preporučiteljski sustav zasnovan na podacima o interakciji na Facebooku." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:283235

Hrestak, Domagoj. "Preporučiteljski sustav zasnovan na podacima o interakciji na Facebooku." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:283235

Hrestak, D. (2015). 'Preporučiteljski sustav zasnovan na podacima o interakciji na Facebooku', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:283235

Hrestak D. Preporučiteljski sustav zasnovan na podacima o interakciji na Facebooku [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2025 January 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:283235

D. Hrestak, "Preporučiteljski sustav zasnovan na podacima o interakciji na Facebooku", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:283235

Metadata
TitlePreporučiteljski sustav zasnovan na podacima o interakciji na Facebooku
Title (english)Recommender system based on data about interaction on Facebook
AuthorDomagoj Hrestak
MentorMarko Banek (mentor)
Committee memberMarko Banek (predsjednik povjerenstva)
Committee memberBoris Vrdoljak (član povjerenstva)
Committee memberDamir Pintar (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-09-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U završnom radu obrađena je tema preporučiteljskih sustava. Opisane su vrste sustava te prednosti njihove upotrebe na društvenim mrežama. Fokus je bio na društvenoj mreži Facebook i njihovoj platformi za razvoj aplikacija. Nakon definiranja korištenih tehnologija platforme dotakli smo se općenite politike razvoja aplikacija na toj brzorastućoj društvenoj platformi gdje su spomenuti i nedostaci trenutne verzije platforme te najveće promjene u odnosu na prijašnje inačice. Objašnjeni su korišteni pojmovi i tehnologije uz kratak osvrt na općenite informacije vezane uz MVC arhitekturu, ASP.NET, Facebook SDK za .NET, JSON.NET, Bootstrap i ostale korištene radne okvire. U zadnjem poglavlju nalazi se osvrt na postavljanje postavki Facebook platna i aplikacije te općenitih uputa za Microsoft Azure profil. Slijedi detaljan opis sagrađenog sustava i svih slojeva aplikacije. Opisan je algoritam za analizu interakcije korisnika i pripadni modeli za spremanje podataka. Konačno, demonstriran je tipičan scenarij korištenja aplikacije za preporučivanje sadržaja.
Abstract (english)
This bachelor thesis is about recommender systems and their development on social networks like Facebook. We have defined the most common types of recommender systems and their advantages and disadvantages. The main theme of this thesis is developing a recommender system using the Facebook platform. After defining the technologies used in the project we discuss some general Facebook policies on application development and the flaws of the current version concerning new privacy settings and limited access to data. Further on we explain the used technologies and give some common information and explanations about the MVC software architectural pattern, ASP.NET, Facebook SDK for .NET, JSON.NET, Bootstrap and the rest of the used frameworks. Last chapter contains recapitulation about using and setting up the Facebook Canvas frame with a web application and usage information for the Microsoft Azure cloud. Detailed descriptions of the developed recommender system and all the implemented layers follow. The algorithm used to analyse the Facebook interaction data is explained and so are the related model data structures. Finally, a demonstration of the developed recommender system is given through a typical use case scenario.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:283235
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 09:12:09