Systems and methods for online content recommendation
US11494666B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2015 |
| Grant date | Nov 8, 2022 |
| Priority date | — |
| Expiry date | Nov 26, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0269
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to computer systems implementing methods for online content recommendation. The computer systems may be configured to receive a training sample from a first client device corresponding to a predefined feedback interacting with online content displayed on the first client device; update a preexisting training database in real-time based on the received training sample to generate an updated training sample, wherein prior to being updated based on the training sample received from the first client, the training database includes a set of historical training samples; conduct a regression training to a computer learning model in real-time, using the updated training sample, to produce a set of trained parameters for an online content recommendation model; call the set of trained parameters in real-time to determine recommend online content for a second user with the online content recommendation model; and send the recommended online content to a second client device of the second user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.