Hibridni sustav preporuke filmova

master's thesis

• Title (english): Hybrid Movie Recommender System
• Author: Lucija Tubić
• Mentor: Goran Delač (mentor)
• Committee member: Goran Delač (predsjednik povjerenstva)
• Committee member: Marin Šilić (član povjerenstva)
• Committee member: Siniša Srbljić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2019-07-09, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Objašnjeni su sustavi preporuka općenito i njihova podjela. Objašnjeni su sustavi preporuka zasnovani na sadržaju, sustavi preporuka zasnovani na suradničkom filtriranju i hibridni sustavi. Objašnjena je moja implementacija hibridnog sustava, korištenog skupa podataka i dobivenih rezultata.

Abstract (english)

In this paper i explain recommender systems in general and their division. I explain content-based recommender systems, collaborative filtering recommender systems and hybrid recommender systems. I write about my implementation of a hybrid system, used data sets and my results.

• Keywords: hibrid; preporuka; filtriranje; sadržaj
• Keywords (english): hybrid; recommendation; filtering; content
• Language: croatian
• URN:NBN: urn:nbn:hr:168:728424
• 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: 2020-01-07 22:45:15