Predicting topics of potential relevance based on retrieved/created digital media files
US10860642B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 21, 2018 |
| Grant date | Dec 8, 2020 |
| Priority date | — |
| Expiry date | Feb 22, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.