Optimizing In-App Purchases Through Personalized Recommendation Systems #302038669250 (2025-02-04)

Optimizing In-App Purchases Through Personalized Recommendation Systems

Thanks to Samuel Jenkins for contributing the article "Optimizing In-App Purchases Through Personalized Recommendation Systems".

This paper focuses on the cybersecurity risks associated with mobile games, specifically exploring how game applications collect, store, and share player data. The study examines the security vulnerabilities inherent in mobile gaming platforms, such as data breaches, unauthorized access, and exploitation of user information. Drawing on frameworks from cybersecurity research and privacy law, the paper investigates the implications of mobile game data collection on user privacy and the broader implications for digital identity protection. The research also provides policy recommendations for improving the security and privacy protocols in the mobile gaming industry, ensuring that players’ data is adequately protected.

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Adversarial Attack Detection in Mobile Game AI Algorithms

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Gamified Health Interventions: Mobile Games for Promoting Mental Well-Being

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Integrating Spatial AI for Real-Time Environmental Interaction in AR Games

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Anna Ross 2025-02-04 published post