Adeia received 1 granted patent this quarter in the AI & Machine Learning category.
The patent covers a system that leverages artificial intelligence to recommend Esports and gaming video on demand content by analyzing pre-game, in-game, and post-game performance metrics. This approach moves beyond traditional recommendation methods that rely primarily on user ratings or viewing history.
The AI & Machine Learning patent takes a three-stage approach to filtering gaming video content for recommendations. Rather than suggesting videos based on team popularity or historical viewership patterns, the system first evaluates whether pre-game expectations align with what actually happened during gameplay. It then checks whether post-game statistics confirm the in-game performance data before making a recommendation. This sequential validation process aims to surface content where competitive outcomes reflect genuine skill and performance rather than reputation or hype, addressing a specific challenge in the Esports viewing space where team followings can skew traditional recommendation algorithms.
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.