prikaz prve stranice dokumenta Analitike u društvenim mrežama
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master's thesis
Analitike u društvenim mrežama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:147101
Svalina, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Svalina, I. (2024). Analitike u društvenim mrežama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:147101

Svalina, Ivan. "Analitike u društvenim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:147101

Svalina, Ivan. "Analitike u društvenim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:147101

Svalina, I. (2024). 'Analitike u društvenim mrežama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 13 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:147101

Svalina I. Analitike u društvenim mrežama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 January 13] Available at: https://urn.nsk.hr/urn:nbn:hr:168:147101

I. Svalina, "Analitike u društvenim mrežama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:147101

Metadata
TitleAnalitike u društvenim mrežama
Title (english)Analytics in Social Networking
AuthorIvan Svalina
MentorDragan Jevtić (mentor)
Committee memberDragan Jevtić (predsjednik povjerenstva)
Committee memberMiljenko Mikuc (član povjerenstva)
Committee memberMarin Vuković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-02-27, Croatia
Abstract
Rastom interneta i društvenih mreža, virtualni je svijet uvelike zamijenio svakodnevne društvene interakcije. Stoga je potrebno pomno promatrati i analizirati promjene koje se događaju. Jedan od najkorištenijih alata na internetu su svakako sustavi preporučivanja. Sustav preporučivanja je sustav informacijskog filtriranja kojim se slažu preporuke za stvari koje se smatraju relevantnim za određenog korisnika te se mogu izvesti različitim metodama. Kvaliteta metoda se mjeri različitim mjerama evaluacije. U sklopu su rada izvedeni sustavi preporučivanja preko različitih metoda. Korištene su metode: TF-IDF, singularna dekompozicija matrice, K-najbližih susjeda, logistička regresija, stablo odlučivanja i klasifikator K-susjeda Ove su metode potom evaluirane mjerama evaluacije regresije, rangiranja, klasifikacije i mjerama karakterističnim za sustave preporučivanja. Rezultati dobiveni evaluacijom su potom prezentirani, objašnjeni i uspoređeni.
Abstract (english)
With the growth of the internet and social networks, the virtual world has largely replaced everyday social interactions. Therefore, it is necessary to closely observe and analyze the changes that are taking place. One of the most used tools on the Internet are certainly recommendation systems. The recommender system is an information filtering system that arranges recommendations for items that are considered relevant for a specific user and can be performed using different methods. The quality of methods is measured by various evaluation methods. As part of the work, recommendation systems were implemented using different methods. Methods used are: TF-IDF, singular matrix decomposition, K-nearest neighbors, logistic regression, decision tree classifier and K-neighbor classifier. These methods were then evaluated with regression, ranking, classification and measures characteristic of recommender systems. The results obtained from the evaluation were then presented, explained and compared.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:147101
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2024-10-12 22:11:16