Machine learned models for search and recommendations
US12287819B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 17, 2024 |
| Grant date | Apr 29, 2025 |
| Priority date | — |
| Expiry date | Jan 17, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system may generate a prompt based in part on a search query from a customer client device. The prompt instructs a machine learned model to provide item predictions. And the model was trained by: converting structured data describing items of an online catalog to annotated text data (unstructured data), generating training examples based in part on the annotated text data, and training the model using the training examples. The system may receive item predictions generated by the prompt being applied to the machine learned model, the item predictions may have corresponding item identifiers. The item predictions are processed to identify a recommended item from the item predictions. The processing includes determining item information for the recommended item using an item identifier associated with the recommended item. The item information is provided to the customer client device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.