TIME-AWARE RECOMMENDATION SYSTEMS

Authors

  • Department of Applied Informatics, Kimyo International University in Tashkent, Author
  • Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi, Tashkent 100200, Uzbekistan Author

Abstract

Abstract

Time-aware Recommendation Systems have garnered attention in recent years due to the dynamic nature of user preferences. This research seeks to understand how the temporal dynamics of user behavior can be incorporated into recommendation algorithms, improving accuracy and user satisfaction.

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Published

2024-03-30

How to Cite

TIME-AWARE RECOMMENDATION SYSTEMS. (2024). Ta’limda Raqamli Texnologiyalarni Tadbiq Etishning Zamonaviy Tendensiyalari Va Rivojlanish Omillari, 29(1), 175-182. http://pedagoglar.org/index.php/01/article/view/1220