Sustav preporučivanja filmova zasnovan na sadržaju

undergraduate thesis

• Title (english): Content-based Movie Recommendation System
• Author: Vjeran Grozdanić
• Mentor: Klemo Vladimir (mentor)
• Committee member: Klemo Vladimir (predsjednik povjerenstva)
• Committee member: Adrian Satja Kurdija (član povjerenstva)
• Committee member: Lucija Šikić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-03, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U sklopu ovog rada obrađuje se tema sustava preporučivanja temeljenih na sadržaju. Osim samog algoritma preporučivanja, prikazuje se i postupak prikupljanja podataka na temelju kojih se preporučuje novi sadržaj korisniku. Jednom kada je sustav
izgrađen, potrebno ga je vrednovati kako bi znali koliko uspješno on radi, taj dio je također obrađen u sklopu ovog rada. Nakon što su sve faze izrade i vrednovanja sustava
preporučivanja opisane, u sklopu rada je izrađen i jednostavan sustav preporučivanja
temeljen na sadržaju te je taj postupak opisan.

Abstract (english)

As part of this paper, the topic of content-based recommendation systems is addressed. In addition to the recommendation algorithm itself, the process of collecting
data based on which new content is recommended to the user is also displayed. Once
a system is built, it needs to be evaluated to know how well it works, that part is also
covered as part of this paper. After all the phases of the development and evaluation of
the recommendation system have been described, a simple content-based recommendation system has been developed and that procedure has been described as part of the
paper.

• Keywords: sustav preporučivanja; preporučivanje na temelju sadržaja; vrednovanje sustava preporučivanja; korisnikov profil; matrica korisnosti; implementacija sustava preporučivanja
• Keywords (english): recommendation system; content-based recommendation; evaluation of recommender system; user profile; utility matrix; implementation of recommendation system
• Language: croatian
• URN:NBN: urn:nbn:hr:168:024894
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 08:52:30