Content playback optimization using nearline information
US12355834B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 24, 2024 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Jan 24, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L65/61
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In some embodiments, a method determines training data from first nearline features for a first sliding time window and a fixed time window. The first sliding time window changes during a first time period and the fixed time window is static during the first time period. A prediction model is trained using the training data. The prediction model is trained for a second time period in the first time period. The method determines values for second nearline features for a second sliding time window and a fixed time window for a request for a current session that is received during the second time period. The second sliding time window is based on a time for the request. The values are input for the second nearline features into the prediction model to generate a prediction. The method performs an action for the current session based on the prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.