Sustavi preporuke zasnovani na suradničkom filtriranju uz primjenu modela dubokog učenja

master's thesis

• Title (english): Collaborative Filtering Recommender Systems Based on Deep Learning Models
• Author: Josip Majača
• Mentor: Goran Delač (mentor)
• Committee member: Goran Delač (predsjednik povjerenstva)
• Committee member: Klemo Vladimir (član povjerenstva)
• Committee member: Marin Šilić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-04, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Ovaj rad se bavi sustavima za preporučivanje zasnovanim na suradničkom filtriranju uz primjenu modela dubokog učenja. Uvode se pojmovi usko vezani za suradničko filtriranje i strojno učenje općenito. Objašnjen je i programski ostvaren radni okvir neuralnog suradničkog filtriranja u programskom jeziku Python pomoću PyTorch radnog okvira. Na kraju je provedena validacija rezultata modela s obzirom na različite hiperparametre modela.

Abstract (english)

This thesis deals with collaborative filtering recommender systems based on deep learning models. Concepts about collaborative filtering and machine learning in general are introduced. The Neural Collaborative Filtering framework is explained and implemented in Python programming language with the help of PyTorch framework. Finally, validation of the model was performed with assessing different model hyperparameters.

• Keywords: suradničko filtriranje; sustavi preporuke; duboko učenje; matrična faktorizacija; neuralna matrična faktorizacija
• Keywords (english): collaborative filtering; recommender systems; deep learning; matrix factorization; neural matrix factorization
• Language: croatian
• URN:NBN: urn:nbn:hr:168:071426
• 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: 2023-01-14 09:21:32