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Original Article

A Scalable System Design for Real-Time Personalized Recommendation Engines in E-Commerce

  • Paper ID 177
  • Volume 5, Issue 2
  • Pages 01-07
  • Published Online: March-April 2025
  • 17 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Karthik Kamarapu1
  • Kali Rama Krishna Vucha2

1Independent Software Researcher, Osmania University, Hyderabad, Telangana, India. 2Independent Software Researcher, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India

Article Information

Published Online
March-April 2025
Pages
01-07
Article Type
Original Article
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References

[1] Koren, Y., Bell, R., and Volinsky, C., "Matrix Factorization Techniques for Recommender Systems," IEEE Computer, 2009. [Online].
Available: https://ieeexplore.ieee.org
[2] He, X., Liao, L., Zhang, H., et al., "Neural Collaborative Filtering," in Proceedings of WWW, 2017. [Online]. Available: https://dl.acm.org
[3] Liu, J., Wang, Z., and Li, X., "Differential Privacy for Personalized Recommendations," ACM SIGKDD Conference, 2019. [Online]. Available:
https://dl.acm.org
[4] Yang, Q., Liu, Y., Chen, T., and Tong, Y., "Federated Learning for Recommender Systems," arXiv preprint, 2020. [Online]. Available:
https://arxiv.org
[5] Zhao, X., Zhang, Z., and Zhou, H., "Reinforcement Learning for Personalized Recommendations," in Proceedings of RecSys, 2018. [Online].
Available: https://dl.acm.org
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