US Patent Application 18323707. METHOD AND APPARATUS FOR GAME MATCHING, STORAGE MEDIUM, AND ELECTRONIC DEVICE simplified abstract

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METHOD AND APPARATUS FOR GAME MATCHING, STORAGE MEDIUM, AND ELECTRONIC DEVICE

Organization Name

Beijing Bytedance Network Technology Co., Ltd.

Inventor(s)

Shuai Hao of Beijing (CN)

Guande Qi of Beijing (CN)

Jierui Chen of Beijing (CN)

METHOD AND APPARATUS FOR GAME MATCHING, STORAGE MEDIUM, AND ELECTRONIC DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18323707 titled 'METHOD AND APPARATUS FOR GAME MATCHING, STORAGE MEDIUM, AND ELECTRONIC DEVICE

Simplified Explanation

The present disclosure is about a method and apparatus for game matching, as well as a storage medium and electronic device.

  • The method involves obtaining the team feature of a game team that needs to be matched.
  • A pre-trained clustering model is used to determine the target class cluster to which the game team belongs based on its team feature.
  • The clustering model is trained to ensure that sample game teams in different class clusters have different game levels under different game room types.
  • The goal is to minimize the quantitative difference between sample game teams in any two class clusters under different game room types.
  • The game team to be matched is then allocated to a target matching pool based on the target class cluster and a game room type.
  • Finally, a game team from the target matching pool is determined as a match for the game team to be matched.


Original Abstract Submitted

The present disclosure relates to a method and an apparatus for game matching, a storage medium, and an electronic device. The method includes: obtaining a team feature of a game team to be matched; obtaining, by a pre-trained clustering model, a target class cluster to which the game team to be matched belongs according to the team feature, the clustering model being obtained by training with a constraint goal of differing in game levels of sample game teams in different class clusters under different game room types and minimizing a quantitative difference of sample game teams in any two class clusters under different game room types; allocating the game team to be matched to a target matching pool according to the target class cluster and a game room type; and determining, in the target matching pool, a game team matched with the game team to be matched.

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