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undergraduate thesis
Razvoj sustava za preporučivanje videozapisa na temelju emocija
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:774261
Cvitanović, Ivana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Cvitanović, I. (2019). Razvoj sustava za preporučivanje videozapisa na temelju emocija (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:774261

Cvitanović, Ivana. "Razvoj sustava za preporučivanje videozapisa na temelju emocija." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:774261

Cvitanović, Ivana. "Razvoj sustava za preporučivanje videozapisa na temelju emocija." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:774261

Cvitanović, I. (2019). 'Razvoj sustava za preporučivanje videozapisa na temelju emocija', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 12 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:774261

Cvitanović I. Razvoj sustava za preporučivanje videozapisa na temelju emocija [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2025 January 12] Available at: https://urn.nsk.hr/urn:nbn:hr:168:774261

I. Cvitanović, "Razvoj sustava za preporučivanje videozapisa na temelju emocija", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:774261

Metadata
TitleRazvoj sustava za preporučivanje videozapisa na temelju emocija
Title (english)An emotion-based approach to developing a video recommender system
AuthorIvana Cvitanović
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberMirjana Domazet-Lošo (član povjerenstva)
Committee memberIgor Mekterović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Otkrivanje novih stavki, knjiga, filmova, glazbe itd. danas je lakše nego ikada prije, tome doprinose sustavi za preporučivanje sadržaja. Sustavi za preporučivanje sadržaja olakšavaju korisnikovo iskustvo na društvenim mrežama i ostalim web platformama, dajući prilagođene preporuke za novi sadržaj. Osiguravanje preporuka koje su precizne i prilagođene korisniku je izazov koji se nastavlja. U ovom radu, tom se problemu pristupa sa emocionalnog stajališta. Proučavaju se korisnikove povratne informacije (komentari) u svrhu dobivanja informacija o emocionalnom stavu korisnika u vezi s promatranim predmetom. Klasifikacija teksta koristi se za klasificiranje komentara na temelju izraženih emocija u njima. Ideje “Collaborative filtering” pristupa sustavima za preporučivanje se usvajaju i korisnici se povezuju na temelju sličnosti emocija izraženih prema nekom predmetu.
Abstract (english)
Discovering new items, books, movies, music, etc is easier today than ever before and Recommender systems contribute to making this possible. Recommender systems make the online experience much more enjoyable for the user, by providing custom recommendations. Making these recommendations as precise and accustomed to the user is an ongoing challenge. In this thesis, the problem is approached from the emotional aspect. User’s feedback (comments) is observed to gain information on the user’s emotional stance regarding the item. Text classification is used to classify the comments based on the expressed emotion. Collaborative filtering ideas are adopted, and users are matched based on the similarity of emotion expressed on the same item.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:774261
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
Access conditionsClosed access
Terms of useLicence In copyright icon
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Created on2020-01-07 17:16:54