DEVELOPMENT OF THE DIGITAL ECONOMY OF UZBEKISTAN: IMPLEMENTATION OF PERSONALIZED MONETIZATION MODELS BASED ON ARTIFICIAL INTELLIGENCE AS A TOOL FOR INCREASING REVENUE FOR LOCAL VIDEO GAME STUDIOS

Shvets Stanislav Fedorovich

Authors

Shvets Stanislav Fedorovich Tashkent University of Information Technologies

Keywords:

Game development, artificial intelligence, machine learning, recommender systems, monetization, video games, digital economy, user experience, data science

Abstract

This article examines the implementation of a personalized AI-based monetization system in the Uzbek gaming industry. Particular attention is paid to recommendation systems as a tool for increasing revenue for local studios and developing the digital economy. A review of international practices and their potential for adaptation to the local context is provided, along with proposals for integrating AI technologies into game development processes. Using analytical and survey methods, this study serves as a foundation for subsequent applied research and practical recommendations.

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