Points of interest in a location sharing system

This invention describes a system that learns to predict if someone is at a specific location, like a store or a park. It works by first gathering historical location and Wi-Fi network data from many people's devices. It then identifies when those people were at known places and uses this information to teach a computer model, which can then determine if a current user is at one of those specific, pre-defined places based on their live location and Wi-Fi data.

Why it matters: The claims describe a machine learning system for location prediction. Since 2021, the maturation of MLOps tools and cloud-based machine learning platforms has significantly lowered the barrier to building, deploying, and maintaining such complex data-driven systems.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning, data infrastructure

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