Systems and methods for reinforcing search engine behavior using federated learning
US12346392B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 7, 2023 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Jul 7, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/954
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and computer-readable storage media for reinforcing and modifying the search engine behavior using aspects of federated learning. A system can receive from a user at a first time, a query for a product, then generate a vector representation of the query, and execute a search of an embedding space for the vector representation, resulting in at least one similarity score for at least one product. The system can present to the user search results based on the at least one similarity score, and receive from the user a selected product from within the search results. The system can update, based on the selected product, the at least one similarity score for the selected product, resulting in at least one updated similarity score, where when the query is received again the search of the embedding space for the vector representation produces the at least one updated similarity score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.