ARCHIVES
Original Article
AI Movie Recommendation Based on the User Mindset Using Django
Vignesh1
Deepakprasath M2
Tamilarasan G3
Jaswant M4
Dharshanram S5
1 Assistant Professor, Department of CSE, Rathinam Technical Campus Coimbatore, Tamil Nadu, India. 2 3 4 5 Final Year Students, Department of CSE, Rathinam Technical Campus Coimbatore, Tamil Nadu, India.
Published Online: November-December 2025
Pages: 43-44
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20250506007
References
1. Burke, R. (2002). Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction, 12(4), 331-370.
2. He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T.-S. (2017). Neural Collaborative Filtering. Proceedings of the 26th International
Conference on World Wide Web, 173-182.
3. Aggarwal, C. C. (2016). Recommender Systems: The Textbook. Springer.
4. Konstan, J. A., & Harper, F. M. (2015). The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems,
5(4).
5. Django Software Foundation. (2023). Django Web Framework.
6. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
7. Jurafsky, D., & Martin, J. H. (2021). Speech and Language Processing (3rd ed.).
8. Serengil, S. I., & Ozpinar, A. (2021). LightFace: A Hybrid Deep Face Recognition Framework. 2020 Innovations in Intelligent Systems and
Applications Conference (ASYU) (Relates to the DeepFace library used in the project).
2. He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T.-S. (2017). Neural Collaborative Filtering. Proceedings of the 26th International
Conference on World Wide Web, 173-182.
3. Aggarwal, C. C. (2016). Recommender Systems: The Textbook. Springer.
4. Konstan, J. A., & Harper, F. M. (2015). The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems,
5(4).
5. Django Software Foundation. (2023). Django Web Framework.
6. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
7. Jurafsky, D., & Martin, J. H. (2021). Speech and Language Processing (3rd ed.).
8. Serengil, S. I., & Ozpinar, A. (2021). LightFace: A Hybrid Deep Face Recognition Framework. 2020 Innovations in Intelligent Systems and
Applications Conference (ASYU) (Relates to the DeepFace library used in the project).
Related Articles
2025
A Comprehensive Review on Antibiotic Resistance
2025
AI-Driven Conversational Models for Supporting Migrant Career Guidance and Labour Market Integration: A Scoping Review
2025
Cloud-Based MIS Framework for Streamlining Outcome-Based Education Evaluation in Higher Education
2025
A Scalable System Design for Real-Time Personalized Recommendation Engines in E-Commerce
2025
AI-Powered Career Advisor (A Personalized Career Guidance System)
2025
