Unity Technologies SF filed 1 patent application in the AI & Machine Learning category.
The patent covers on-device machine learning technology for user profiling that infers player interests from gameplay behavior without exposing raw personal data. This approach enables privacy-preserving ad targeting and recommendations by processing user information locally on the device.
Unity Technologies' single AI and machine learning patent tackles the persistent tension between personalized advertising and user privacy in gaming. The application describes a system that embeds profiling models directly into the game engine runtime, allowing the software to analyze player behavior and infer interests locally on the device rather than shipping raw behavioral data to remote servers. By processing this sensitive information where it originates and transmitting only high-level interest profiles, the approach avoids both the privacy concerns inherent in server-side tracking and the bandwidth costs of uploading granular gameplay data. The result is a method for targeting ads and surfacing recommendations that operates on abstracted user profiles instead of exposing the underlying actions and patterns that generated them.
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