Naslov
Web application for movie recommendations

Autori
Marciuš, Neven

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, preddiplomski

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
26.06

Godina
2023

Stranica
35

Mentor
Bagić Babac, Marina

Ključne riječi
Machine learning ; Recommendation systems ; Collaborative filtering ; Singular Value Decomposition ; Web application

Sažetak
The objective of this thesis is to design and develop a web application that utilizes a recommendation system to suggest movies to users based on their preferences. The MovieLens dataset will be used to train the recommendation system and apply the collaborative filtering approach. The developed web application will offer an intuitive user interface that allows users to provide feedback on the suggested movies, which will enable the system to improve its recommendations over time. The thesis will also explore the possibility of incorporating additional data sources, such as movie ratings and reviews from social media platforms, to enhance the accuracy of the recommendation system.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA