Machine learning classification of an application link as broken or working
US11361046B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 21, 2020 |
| Grant date | Jun 14, 2022 |
| Priority date | — |
| Expiry date | Feb 29, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying broken network connections. In one aspect, a system includes front-end server(s) that receive data specifying, for multiple different user interactions with one or more application links that link to a given application, presentation durations specifying how long application content linked to by the application link was presented following the multiple different user interactions with the application link(s). Back-end server(s) that communicate with the front end server(s) can classify each application link as broken or working based on application of a machine learning model to the presentation durations for the application link. The machine learning model can be generated using labeled training data. The back-end server(s) can generate and output an alert identifying an application link as a broken link based on the application link being classified as broken by the machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.