Sony Interactive Entertainment Inc.

Xiaohan Zhang

Adil Ahmed Sherwani

Jay Robert Franck

Mischa G Stephens

Gabor Melli

Rui Li

Derek Andrew Parker

Nitin Y Mohan

Daniel S Hiatt

Oscar Michael Sanchez

Arthur Salazar

Dustin Shawn Clingman

Andrew D Herman

Ramana Bangalore Prakash

Xifan Chen

Dmitry Makarov

Ai Sasho

Stephen Paddon

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.

Machine learning based gaming platform messaging risk management using gamer behavior

A system and method for providing personalized assistance in a virtual environment is disclosed. A plurality of trigger events is stored in memory, each trigger event based on a user interaction in the virtual environment. Data sent over a communication network regarding gameplay of a user associated with a media title engaged in the virtual environment is received. Play characteristics exhibited by the user based on the received data are identified. One or more user generated content streams that meet conditions of an identified one or more trigger events are identified. Identified streams are ranked based on a match between the play characteristics exhibited by the user and metadata of each of the identified streams. A display of the ranked streams is provided, wherein the display includes an analysis of the match.

Personalization of user generated content

Techniques for improving a user video game experience are described. In an example, a computer system receives event data from a plurality of user devices. Each event data includes an identifier of an activity in a video game and data and an identifier of a mechanic used to complete the activity. The identifiers can be predefined in program code of the video game. The identifiers data can be received based on an execution of the program code. The event data is processed to determine, for a user that has not completed the activity, a readiness of the user to perform the activity. Depending on the readiness, the activity can be suggested in a user interface element.

Server-based game activity suggestions

Techniques for improving a user video game experience are described. In an example, a computer system receives event data from a plurality of user devices. Each event data includes an identifier of an activity in a video game and data indicating completion of the activity. The identifier can be predefined in program code of the video game. The identifier and completion data can be received based on an execution of the program code. The event data is processed to provide assistance videos to improve activity completion rates in the video game. The videos may be presented on the plurality of user devices.

Server-based video help in a video game

Techniques for improving a user video game experience are described. In an example, a computer system receives event data from a plurality of user devices. Each event data includes an identifier of an activity in a video game and data indicating completion of the activity. The identifier can be predefined in program code of the video game. The identifier and completion data can be received based on an execution of the program code. The event data is processed to determine a video game mechanic suggestion to help a player complete the activity.

Server-based mechanics help determination from aggregated user data

Server-based game activity suggestions by readiness score

Growing community of inventors

Albany, CA, United States of America

Xiaohan Zhang