Machine learning based gaming platform messaging risk management using gamer behavior
US11964209B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Mar 17, 2022 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Mar 17, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/131
- WIPO fieldFurniture, games
- WIPO sectorOther fields
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.