Realtime response to network-transferred content requests using statistical prediction models
US11049022B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 28, 2017 |
| Grant date | Jun 29, 2021 |
| Priority date | — |
| Expiry date | Mar 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for leveraging existing statistical prediction models are provided. A first statistical prediction model is generated for a content item. An instruction is received to create a clone from the content item. In response to receiving the instruction, the clone is created based on attributes of the content item. A second statistical prediction model that is different than the first statistical prediction model is generated for the clone. In response to receiving a request for content, the clone is identified as relevant to the first request. A similarity between (1) first content of the content item and (2) second content of the clone is determined. If the similarity exceeds a similarity threshold, then the first statistical prediction model is used to generate a prediction of an entity user selection rate associated with the clone. Otherwise, the second statistical prediction model is used to generate the prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.