DESIGN AND OPTIMIZATION OF AN INTELLIGENT RECOMMENDATION SYSTEM BASED ON DATA ENGINEERING IN THE MEDIA ECOSYSTEM

Authors

  • S.Sh. Kobilov Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti
  • A.B. Abdunabiev Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti

Keywords:

media ecosystem, intelligent recommendation system, data engineering, data pipeline, collaborative filtering, deep learning.

Abstract

This article analyzes modern methods for creating and optimizing intelligent recommendation systems based on data engineering in the media ecosystem. The increase in the volume of media content consumption, the growth of user behavior data, and the demand for real-time recommendations require the creation of a strong, stable, and efficient data engineering infrastructure for recommendation systems. The article covers media data flow management, recommendation model architecture, data processing technologies, hybrid recommendation approaches, and methods for scientifically optimizing system performance.

References

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Published

2025-11-23

Issue

Vol. 2 No. 11 (2025): UNIVERSAL INTERNATIONAL SCIENTIFIC JOURNAL

Section

Articles

License

Copyright (c) 2025 S.Sh. Kobilov, A.B. Abdunabiev

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

DESIGN AND OPTIMIZATION OF AN INTELLIGENT RECOMMENDATION SYSTEM BASED ON DATA ENGINEERING IN THE MEDIA ECOSYSTEM. (2025). Universal International Scientific Journal, 2(11), 40-44. https://universaljurnal.uz/index.php/jurnal/article/view/3762