Movie Recommendation System Using Machine Learning

• Author(s): Abhishek Kumar Singh; Aditya Chauhan; Aman Singh; Dr. Ishrat Ali; Prof. (Dr.) Sanjay Pachauri
• Paper ID: 1712251
• Page: 1914-1915
• Published Date: 25-11-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 5 November-2025

Abstract

With the continuous expansion of digital streaming platforms, personalized movie recommendations have become essential to enhance user experience. This paper presents a machine-learning?based movie recommendation system utilizing content-based filtering, collaborative filtering, and hybrid approaches. The system is evaluated using the MovieLens dataset, and performance is measured using RMSE and MAE. The results indicate that hybrid models outperform individual approaches due to their ability to integrate user?item interactions with content features.

Keywords

Recommendation System, Machine Learning, Collaborative Filtering, Content-Based Filtering, Hybrid Models, Movielens Dataset.

Citations

IRE Journals:
Abhishek Kumar Singh, Aditya Chauhan, Aman Singh, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri "Movie Recommendation System Using Machine Learning" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1914-1915 https://doi.org/10.64388/IREV9I5-1712251

IEEE:
Abhishek Kumar Singh, Aditya Chauhan, Aman Singh, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri "Movie Recommendation System Using Machine Learning" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712251