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undergraduate thesis
Web aplikacija za preporuku glazbe
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:734074
Goričanec, Franko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Goričanec, F. (2024). Web aplikacija za preporuku glazbe (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:734074

Goričanec, Franko. "Web aplikacija za preporuku glazbe." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:734074

Goričanec, Franko. "Web aplikacija za preporuku glazbe." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:734074

Goričanec, F. (2024). 'Web aplikacija za preporuku glazbe', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:734074

Goričanec F. Web aplikacija za preporuku glazbe [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 January 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:734074

F. Goričanec, "Web aplikacija za preporuku glazbe", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:734074

Metadata
TitleWeb aplikacija za preporuku glazbe
Title (english)Web application for music recommendation
AuthorFranko Goričanec
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberLjiljana Brkić (član povjerenstva)
Committee memberKristijan Poje (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-06-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj završni rad prikazuje razvoj aplikacije za preporuku glazbe koja predlaže pjesme na temelju korisnikovih preferiranih izvođača, uz pružanje informacija o općoj popularnosti pjesama koje korisnik sluša. Aplikacija se temelji na Spotify podacima. U prvom poglavlju istražuje se prikupljanje podataka i Spotify API te su objašnjeni Spotify atributi pjesama. Drugo poglavlje koristi prikupljene podatke kako bi se demonstrirali sustavi preporuka, posebice pristup temeljen na najbližem susjedu. Nadalje, daje se uvid u ograničenja sustava i prikupljanja podataka. Konačno, treće poglavlje istražuje stvaranje i dizajn web aplikacije za preporuku glazbe. Implementacija i važan kod su dani te objašnjeni.
Abstract (english)
This thesis presents a development of a music recommendation application that suggests songs based on the user's preferred artists, in addition to providing information on the general popularity of the songs the user listens to. The application is based on Spotify data. In the first chapter the data collection is explored and Spotify API, as well as song audio features are explained. The second chapter then uses the collected data to explore recommendation systems, specifically the nearest neighbour approach. Insight into limitations of the system and data collection is given. Finally, the third chapter explores the creation and design of the web application for music recommendation. The implementation and important code is given and explained.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:734074
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 on2024-10-12 20:40:17