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公开(公告)号:US11484801B2
公开(公告)日:2022-11-01
申请号:US17210312
申请日:2021-03-23
申请人: Riot Games, Inc.
发明人: Rahul Tripathi , Jonathan Blair Moormann , Tomasz Mozolewski , Jordan Braman Checkman , Cody Bryant Germain , Lawrence Lihuan Xie , Wenbin Xiang
IPC分类号: A63F13/795 , A63F13/35
摘要: In various examples, the present system tracks gameplay timeframes for when a user is engaged in an instance of gameplay. The system can then determine one or more typical timeframe(s) for when the user engages in gameplay. In some embodiments, the user can access a team matching UI and request to be matched with other user accounts and/or to be presented with a list of other user accounts who might be a good match for the user, such as those associated with similar typical timeframes for gameplay. Based on the request from the user, a set of user accounts available to be matched can be ranked based, at least in part, on a similarity between gameplay timeframes associated with the user and each of the user accounts in the set of user accounts. Using the ranking, the system can generate a team of users with similar typical gameplay timeframes.
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公开(公告)号:US20220305390A1
公开(公告)日:2022-09-29
申请号:US17210312
申请日:2021-03-23
申请人: Riot Games, Inc.
发明人: Rahul Tripathi , Jonathan Blair Moormann , Tomasz Mozolewski , Jordan Braman Checkman , Cody Bryant Germain , Lawrence Lihuan Xie , Wenbin Xiang
IPC分类号: A63F13/795 , A63F13/35
摘要: In various examples, the present system tracks gameplay timeframes for when a user is engaged in an instance of gameplay. The system can then determine one or more typical timeframe(s) for when the user engages in gameplay. In some embodiments, the user can access a team matching UI and request to be matched with other user accounts and/or to be presented with a list of other user accounts who might be a good match for the user, such as those associated with similar typical timeframes for gameplay. Based on the request from the user, a set of user accounts available to be matched can be ranked based, at least in part, on a similarity between gameplay timeframes associated with the user and each of the user accounts in the set of user accounts. Using the ranking, the system can generate a team of users with similar typical gameplay timeframes.
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