Sony Interactive Entertainment Inc.

Arthur Salazar

Xiaohan Zhang

A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. Message text may also be used. An evaluator module receives the score(s) from the ML model(s) indicating whether a particular message is spam and when the score(s) satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.

Machine learning based gaming platform messaging risk management

A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. An evaluator module receives score(s) from the ML model indicating whether a particular message is spam or other undesired message and when the scores satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.

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San Mateo, CA, United States of America

Arthur Salazar