Content-item recommendations
US12026208B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 22, 2022 |
| Grant date | Jul 2, 2024 |
| Priority date | — |
| Expiry date | Oct 5, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are, among other things, techniques, devices, and systems for generating one or more trained machine-learning models used for generating content-item recommendations. Also described herein are techniques, devices, and systems for applying a consumption history of a particular user to the trained model(s) to generate score data indicating a correlation between each content-item title and the consumption history, as well as modifying this score data using one or more biasing factors for generating result data. In addition, the techniques, devices, and systems may use this result data, along with received user input, for determining an order in which to present one or more content items to the user. For example, this may include determining which content items to recommend to a user and in which order to do so.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.