Joint optimization of notification and feed
US10956524B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2018 |
| Grant date | Mar 23, 2021 |
| Priority date | — |
| Expiry date | May 21, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, a machine learned model is used to determine whether to send a notification for a feed object to a user. This machine learned model is optimized not just based on the likelihood that the notification will cause the user to interact with the feed object, but also the likely short-term and long-term impacts of the user interacting with the feed object. This machine learned model factors in not only the viewer's probability of immediate action, such as clicking on a feed object, but also the probability of long-term impact, such as the display causing the viewer to contribute content to the network or the viewer's response encouraging more people to contribute content to the network. As such, the machine learned model is optimized not just on notification interactivity but also on feed objects interactivity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.