Matching Algorithm

This section outlines the sophisticated matching algorithm used by JAN-Navi to enhance the competitiveness and enjoyment of mahjong games. By leveraging advanced analytics and machine learning, the platform ensures players are matched in a manner that promotes balanced and engaging gameplay.

  • Skill Level Assessment On JAN-Navi, a player's rank and game data, along with their match history on the blockchain, are analyzed to assess their overall skill level. This comprehensive evaluation helps in creating matches that are fair and challenging for all participants.

  • Optimal Matchups The algorithm developed by JAN-Navi matches players with optimal opponents based on a variety of factors, including skill level, game style, and geographic proximity. This tailored approach not only enhances player satisfaction but also fosters a competitive environment that is both fun and rewarding.

  • Learning and Updates Utilizing AI and machine learning, JAN-Navi continuously analyzes matching results to refine and improve the algorithm. This ongoing optimization process ensures that matchups become progressively fairer and more exciting, keeping the gaming experience fresh and engaging for players.

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