Machine learning techniques for transmitting push notifications
US11087237B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2018 |
| Grant date | Aug 10, 2021 |
| Priority date | — |
| Expiry date | Apr 8, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/55
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: utilizing historical transaction information to derive metric information associated with prior transactions; generating a listing of user-item pairs, each of the user-item pairs identifying a user and an item; executing a machine learning model that is configured to generate a transmission list for sending push notifications; generating a transmission list by selecting user-item pairs based on the conversion probability values and the confidence indicators that are assigned to the user-item pairs; customizing content for the push notifications to include information for items identified by the user-item pairs included in the transmission list; and transmitting the push notifications to the users identified by the user-item pairs included in the transmission list. Other embodiments are disclosed herein.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.