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Original Article

AI Movie Recommendation Based on the User Mindset Using Django

  • Paper ID 245
  • Volume 5, Issue 6
  • Pages 43-44
  • Published Online: November-December 2025
  • 15 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • 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.

Article Information

Published Online
November-December 2025
Pages
43-44
Article Type
Original Article
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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).
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  • ISSN 2583-1240
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