> For the complete documentation index, see [llms.txt](https://wp.jannavi.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wp.jannavi.net/mahjong-big-data-depin-project/global-matchmaking.md). # Global Matchmaking This section explores the global matchmaking capabilities enhanced by the Mahjong Big Data Project, focusing on cross-border competition and skill-based matching to enrich the global Mahjong community experience. * **Cross-border Matchmaking**\ Leveraging DePIN technology, Mahjong players worldwide can now compete online without geographic constraints. This enables encounters with new opponents across different languages and cultures, broadening the scope of competition. * **Skill-based Matching**\ An AI algorithm recommends opponents based on players' skill levels and playing styles, ensuring fair and intense matches. This fosters a community where both beginners and advanced players can thrive. * **Globally Customized Experience**\ Future enhancements will allow players to select game rules and modes that suit their needs, providing a richer Mahjong experience. This feature will also accommodate diverse local rules rooted in regional cultures, adding variety to the gameplay. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://wp.jannavi.net/mahjong-big-data-depin-project/global-matchmaking.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.