Methods and systems for generating recommendations for contacting users through the use of a contextual multi-armed bandit framework
US12045874B2 · kind B2 · utility
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16Claims
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Key dates
| Filing date | Jun 17, 2020 |
| Grant date | Jul 23, 2024 |
| Priority date | — |
| Expiry date | Jan 8, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/212
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods and systems are described for machine learning algorithms that dynamically allocate traffic to contact strategies that are performing well, while allocating less traffic to contact strategies that are underperforming. In particular, the methods and systems discussed are for the use of a contextual multi-armed bandit framework for applications that have both immediate results and long-term results, in which immediate results are correlated with the long-term results (e.g., results related to debt collection strategies).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.