Supervisor
Muhammad Iqbal
Programme
BSc (Hons) in Computing in IT
Subject
Computer Science
Department
Computer Science
Abstract
This project is focused on implementing a Movie Recommendation System with the use of Machine Learning. The system was developed in Python and the datasets used were 'Movies' and 'Ratings' from MovieLens 25M. This project was developed with the CRISP-DM methodology and each of the phases is detailed in a report and Jupyter Notebook.
The system is a hybrid combining best qualities of collaboration filtering and user grouping. In the project we compare some models' accuracies, upgrade a chosen model and show the improved performance of our hybrid model that used the SVD algorithm. We are able to find recommended movies based on user ratings.
Date of Award
Spring 5-2024
Full Publication Date
5-2024
Access Rights
open access
Document Type
Undergraduate Project
Resource Type
bachelor thesis
Recommended Citation
Menezes Castro, Ingrid and Szlufik, Robert, "Movie Recommendation System." (2024). ICT. 56.
https://arc.cct.ie/ict/56