Artificial intelligence system with hierarchical machine learning for interaction session optimization
US10977711B1 · kind B1 · utility
43Cited by
8References
20Claims
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Key dates
| Filing date | Jan 3, 2018 |
| Grant date | Apr 13, 2021 |
| Priority date | — |
| Expiry date | Apr 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An intermediate result set is obtained from a first machine learning model whose input data set comprises values of a first set of properties associated with a session of operations. The intermediate result and a second set of properties associated with the session are provided as input to a second machine learning model. A value of at least one property of the first set is determined before a value of at least one property of the second set is determined. A particular action recommendation, based at least in part on output generated by the second machine learning model, is implemented.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.