Roblox Corporation

Sejal Chauhan

Aswath Manoharan

Nikolaus Sonntag

David Alyea

Eric Holmdahl

A system and method identifies activity data that is related to activity of a plurality of users of a gaming platform. The activity data is used by the gaming platform to perform a gaming process. The system and method identifies first data of the activity data based on a first characteristic. The first data is a subset of the activity data. The system and method determines a number of times that the first data of the activity data meets a first condition. The system and method responsive to determining that the number of times that the first data of the activity data meets the first condition satisfies a first threshold, modifies the activity data by removing the first data from the activity data. The system and method performs the gaming process using the modified activity data.

Data flood checking and improved performance of gaming processes

Implementations described herein relate to methods, systems, and computer-readable media to dynamically customize rankings. In some implementations, a method includes receiving, from a user, a request for a list of items available on an online gaming platform, identifying a particular trained machine learning model based at least in part on user data associated with the user, providing an input feature vector to the particular trained machine learning model, obtaining an output feature vector from the particular trained machine learning model, assigning a rank for each of the plurality of items based on the output feature vector, generating the list of items, wherein items in the list of items are ordered based on respective ranks, and providing a user interface to the user that includes the list of items.

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San Jose, CA, United States of America

Sejal Chauhan