Reinforcement machine learning for personalized intelligent alerting
US11935080B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 12, 2020 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Mar 12, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present invention relate to providing intelligent alerting and automation for marketing analytics software. In implementation, intelligent alerting is initiated by a user, which enables deep learning models to analyze various data patterns. Intelligent alerting learns about preferences and data consumption patterns of the user with marketing analytics software. Intelligent alerting also accounts for and learns from any manually created alerts set up by the user and/or alerts created automatically by anomaly detection. Intelligent alerting analyzes all other users within the organization of the user to find similar users based on their consumption patterns. An on-demand game may be provided to the user to determine the criticality of one metric change over another. This enables intelligent alerting to automatically provide alerts which pass a critical threshold of importance to the user and context to help the user understand why a metric changes in a significant way.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.