U.S. Pat. No. 12,447,406
CLASSIFYING REAL-WORLD POINTS OF INTEREST IN A PARALLEL VIRTUAL WORLD
AssigneeNiantic Spatial, Inc.
Issue DateOctober 10, 2022
Illustrative Figure
Abstract
A machine learning model classifies points of interest in a parallel reality game hosted by a server. The server generates training data sets that include verified properties for points of interest. The machine learning model may predict unverified properties for points of interest. Players in the parallel reality game may input properties for the points of interest. The machine learning model use the received properties from players as inputs to the machine learning model to verify unverified properties or generate new properties for the points of interest. The server may classify the points of interest as suitable for particular activities, and the server may use the classifications for future activities within the parallel reality game.
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