Content generation and targeting using machine learning
US10671680B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 25, 2016 |
| Grant date | Jun 2, 2020 |
| Priority date | — |
| Expiry date | Oct 5, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for content generation and targeting using machine learning are provided. In example embodiments, a probability that a user will visit a webpage based on historical data is calculated. A probability that the user will engage with a particular content category based on past user engagement is calculated. In response to the probability of the user engaging with the particular content category being equal to or greater than a first threshold, the content is generated. Further, in response to the probability of the user not visiting a webpage meeting or exceeding a second threshold, the generated content is sent to the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.