ByteDance received 1 granted patent this quarter in the AI & Machine Learning category (1).
The patent covers a matchmaking system for multiplayer online battle arena games that uses artificial intelligence to organize players into skill-based clusters across multiple pools. This approach aims to decrease wait times while maintaining balanced competitive matches in MOBA environments.
The single AI and machine learning patent addresses the challenge of balancing match quality against queue speed in competitive gaming. The system divides players into skill-based clusters and distributes them across multiple pools for parallel processing. What sets this approach apart is its training methodology, which optimizes for two competing goals simultaneously: it maintains appropriate skill gaps between opposing teams within each cluster tier while also ensuring that player pools remain evenly sized. This dual constraint helps the matchmaking algorithm deliver both competitive fairness and faster queue times by preventing bottlenecks in any single processing pool.
All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.