An Intelligent Model for Optimizing Sparsity Problem Toward Movie Recommendation Paradigm Using Machine Learning-Reference-Cited by-同舟云学术

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An Intelligent Model for Optimizing Sparsity Problem Toward Movie Recommendation Paradigm Using Machine Learning

Published:2023 Issue: Volume: Page:163-185
ISSN:2199-1073
Container-title:Internet of Things
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Author:

Sarkar Manash,Singh Shiwangi,Soundarya V. L.,Agrebi Maroi,Alkhayyat Ahmed

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-33808-3_10

Reference32 articles.

1. Sama, L., Wang, H, & Makkar, A. (2021). Movie recommendation system using deep learning. In 9th International Conference on Orange Technology (ICOT), Tainan. https://ieeexplore.ieee.org/document/9680609

2. Purushothaman Srikanth, E. Ushitaasree, S. M. Bhargav Bhattaram, G., & Anand, P. (2021). Movie recommendation system using deep autoencoder, In 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore. https://ieeexplore.ieee.org/document/9675960

3. Salmani, S., & Kulkarni, S. (2021). Hybrid movie recommendation system using machine learning. In International Conference on Communication information and Computing Technology (ICCICT), Mumbai. https://ieeexplore.ieee.org/document/9510058

4. Sunandana, G., Reshma, M., Pratyusha, Y., Kommineni, M., & Gogulamudi, S. (2021). Movie recommendation system using enhanced content-based filtering algorithm based on user demographic data. In 6th International Conference on Communication and Electronics Systems (ICCES), Coimbatore. https://ieeexplore.ieee.org/document/9489125

5. Roy, A., Banerjee, S., Sarkar, M., Darwish, A., Elhosen, M., & Hassanieen, A. E. (2018). Exploring New Vista of intelligent collaborative filtering: A restaurant recommendation paradigm. Journal of Computational Science, Elsevier, 27, 168–182.

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1. Movie Recommendation System Using Machine Learning;2023 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC);2023-12-14

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