Correlating network data with instant app feedback for ML-based customer experience management
US11973668B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Aug 3, 2020 |
| Grant date | Apr 30, 2024 |
| Priority date | — |
| Expiry date | Aug 3, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W24/02
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The correlation of per-session network logs with trouble reports provided by the users/user devices via a trouble reporting app generates labeled training information used to train Machine Learning (ML) models that are subsequently used to infer, explain, and address service issues associated with an application service session. As such, the level of automation for Quality of Experience (QoE) management increases, while the accuracy of such QoE management increases and a subscriber's experience improves.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.