Multiplayer video game matchmaking system and methods

Abstract

Embodiments of systems presented herein may identify users to play a multiplayer video game together using a mapping system and machine learning algorithms to create sets of matchmaking plans for themultiplayer video game that increases player or user retention. Embodiments of systems presented herein can determine the predicted churn rate, or conversely retention rate, of a user waiting to playa video game if the user is matched with one or more additional users in a multiplayer instance of the video game.

Description

[0001] Incorporation by reference of any priority application [0002] This disclosure claims priority to U.S. Provisional Application No. 62 / 411,452, filed October 21, 2016, entitled "Engagement Optimized Matchmaking Framework," the disclosure of which is incorporated herein by This document is expressly incorporated by reference in its entirety for all purposes. Any and all applications for which foreign or domestic priority is claimed on the Application Data Sheet filed with this application are hereby incorporated by reference pursuant to 37 CFR 1.57. Background technique [0003] Software developers often expect their software to keep users engaged for as long as possible. The longer users engage with software, the more likely it is to be successful. This is especially true when it comes to video games, the relationship between the length of user engagement and the success of the software. The longer a user plays a particular video game, the more likely the user likes ...

AI Technical Summary

Problems solved by technology

Conversely, video games that provide users with a poor multiplayer experience are less likely to sustain high numbers of users

Therefore, one of the challenges of video game development is to provide a mechanism that ensures or increases the chances of an interesting multiplayer gaming experience

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