A method for optimizing the matching mechanism of a ten-player online competitive game

Abstract

The invention provides a method for optimizing the matching mechanism of a ten-player online competitive game, and relates to the optimization technology of the game matching mechanism. This method collects the last 30 game information of each player who has entered between 5 seconds and 60 seconds of matching time, and uses 1‑D convolution, maximum function, random sampling, function mapping, arithmetic matching and other algorithms to make one player's game The average level is in a set interval, and the probability of conflict between one player's career choice is minimized. Using the method of the present invention, on the one hand, the game experience of the player is increased, the limited game time of the player is fully utilized, and the purpose of the game serving entertainment is realized. On the other hand, the application of the present invention promotes the development and expansion of the ten-player online competitive game in the game market, which has certain promotion significance for the game industry, and also has positive significance for the harmonious development of human society at a deeper level.

Description

technical field [0001] The invention relates to the field of game matching mechanism optimization. [0002] technical background [0003] With the accelerated pace of life, fast-paced online competitive games have become a part of people's daily lives, especially teenagers. Appropriate games are beneficial to physical and mental health. However, the current matching mechanism is not perfect, and there is a problem that the game level of the players on both sides is often quite different and players compete for character occupations, resulting in a very bad confrontation experience, which deviates from the purpose of the game serving life, and also hinders the game. The pace of advancement of the industry. [0004] At present, the development prospects of online competitive games are good, and the crowd base will definitely increase rapidly with the passage of time. Therefore, how to optimize the matching mechanism, solve the phenomenon of the large gap in the strength of th...

AI Technical Summary

Problems solved by technology

However, the current matching mechanism is not perfect, there is often a large gap between the game level of the two players and the players compete for the role of the problem, resulting in a very bad confrontation experience, which deviates from the purpose of the game to serve life, and also hinders the game The pace of the industry

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