Machine learning driven dynamic notification content
US11475084B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2019 |
| Grant date | Oct 18, 2022 |
| Priority date | — |
| Expiry date | Apr 21, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Technologies for generating dynamic notification content for notification messages using a machine learned model are provided. The disclosed techniques include identifying an event related to a particular user, where the event has a particular notification type that represents a subject type of the event. Based on the particular notification type of the event, a set of candidate headline and call-to-action combinations corresponding to the particular notification type are identified. Using the machine learned model, scores are calculated for each headline and call-to-action combination in the set of candidate headline and call-to-action combinations. One or more particular headline and call-to-action combinations from the set of candidate headline and call-to-action combinations are selected based upon the scores calculated for each combination of the set of candidate headline and call-to-action combinations. A notification message is generated for the event that includes the one or more particular headline and call-to-action combinations selected.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.