Open Access
| Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
|---|---|---|
| Article Number | 01071 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/matecconf/202439201071 | |
| Published online | 18 March 2024 | |
- Shalabh Aggarwal, Flask Framework Cookbook: Enhance your Flask skills with advanced techniques and build dynamic, responsive web applications, Packt Publishing, 2023. [Google Scholar]
- A. V. Dev and A. Mohan, “Recommendation system for big data applications based on set similarity of user preferences”, 2016 International Conference on Next Generation Intelligent Systems (ICNGIS), pp. 1-6, 2016. [Google Scholar]
- N. Kapoor, S. Vishal and K. K. S., “Movie Recommendation System Using NLP Tools,” 2020 5th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2020, pp. 883-888, doi: 10.1109/ICCES48766.2020.9137993. [Google Scholar]
- Manoj Kumar and DK Yadav, “(MNNIT Lucknow)”, A Movie Recommender System, 2015. [Google Scholar]
- C. –S. M. Wu, D. Garg and U. Bhandary, “Movie Recommendation System Using Collaborative Filtering,” 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS), Beijing, China, 2018, pp. 11-15, doi: 10.1109/ICSESS.2018.8663822. [Google Scholar]
- Debnath, S., Ganguly, N., Mitra, P. : Feature weighting in content based recommendation system using social network analysis. In: Proceedings of the 17th International Conference on World Wide Web. ACM (2008) [Google Scholar]
- Bhatt, B. : A review paper on machine learning based recommendation system. Int. J. Eng. Dev. Res. (2014) [Google Scholar]
- https://realpython.com/build-recommendation-engine-collaborativefiltering/#:~:text=Collaborative%20filtering%20is%20a%20technique,similar%20to%20a%20particular%20user. (last accessed on) [Google Scholar]
- https://flask.palletsprojects.com/en/3.0.x/(last accessed on) [Google Scholar]
- https://www.geeksforgeeks.org/what-is-reinforcement-learning/(last accessed on) [Google Scholar]
- https://developers.google.com/machinelearning/recommendation/collaborative/basics(last accessed on) [Google Scholar]
- https://towardsdatascience.com/collaborative-filtering-based-recommendationsystems-exemplified-ecbffe1c20b1(last accessed on) [Google Scholar]
- https://www.xenonstack.com/blog/python-flask-framework(last accessed on) [Google Scholar]
- https://www.sciencedirect.com/topics/computer-science/cosinesimilarity#:~:text=Cosine%20similarity%20measures%20the%20similarity,document%20similarity%20in%20text%20analysis.(last accessed on) [Google Scholar]
- https://www.oreilly.com/library/view/statistics-for-machine/9781788295758/eb9cd609-e44a-40a2-9c3a-f16fc4f5289a.xhtml(last accessed on) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.