Methods, systems, and apparatuses for content recommendations based on user activity
US11962857B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 10, 2021 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Mar 24, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/6582
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatuses for content recommendations based on user activity data are described herein. An analytics subsystem may receive first activity data. The first activity may be indicative of a plurality of first engagements with a first plurality of media assets. At least one machine learning model may be configured to receive an input of activity data, such as the first activity data, and to determine at least one content recommendation on that basis. The at least one content recommendation may comprise a recommendation for at least one media asset. The at least one media asset may be associated with at least one media asset classification. The analytics subsystem may send the at least one content recommendation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.