Hibridni sustav preporuke filmova

master's thesis

• Title (english): Hybrid Movie Recommender System
• Author: Zvonimir Ravlić
• Mentor: Boris Vrdoljak (mentor)
• Committee member: Boris Vrdoljak (predsjednik povjerenstva)
• Committee member: Igor Mekterović (član povjerenstva)
• Committee member: Ljiljana Brkić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-07-09, Croatia

Abstract

U ovom diplomskom radu provedeno je istraživanje, analiza i implementacija različitih vrsta sustava preporuke. Prvi korak obuhvaćao je izradu sustava preporuke zasnovanog na sadržaju, kao i sustava preporuke temeljenog na suradničkom filtriranju. U sljedećem koraku je provedeno istraživanje hibridnih sustava preporuka te je osmišljen i implementiran način spajanja sustava implementiranih u prethodnom koraku u jedan hibridni sustav. Zatim je izrađeno grafičko sučelje koje omogućava korisnicima upotrebu implementiranih algoritama preporuke. Ovo sučelje integrira sve ključne funkcionalnosti, pružajući intuitivno korisničko iskustvo i olakšava korištenje razvijenih sustava preporuke u praksi.

Abstract (english)

In this thesis, research, analysis, and implementation of various types of recommendation systems were conducted. The first step involved creating a content-based recommendation system as well as a collaborative recommendation system. In the next step, research on hybrid recommendation systems was conducted, and a method of combining the systems implemented in the previous step into a single hybrid system was designed and implemented. Then, a graphical interface was created to allow users to use the implemented recommendation algorithms. This interface integrates all key functionalities, providing an intuitive user experience and facilitating the practical use of the developed recommendation systems.

• Keywords: sustav preporuke; sustav preporuke zasnovan na sadržaju; sustav preporuke zasnovan na suradničkom filtriranju; hibridni sustav preporuke
• Keywords (english): recommendation system; content-based recommendation system; collaborative filtering recommendation system; hybrid recommendation system
• Language: croatian
• URN:NBN: urn:nbn:hr:168:023910
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2024-10-12 21:59:57