Systems and methods for machine learning models for search engine performance optimization
US11238113B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2021 |
| Grant date | Feb 1, 2022 |
| Priority date | — |
| Expiry date | Mar 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer-readable media for updating a machine learning model utilized in a search engine operation. The method identifies a set of search queries in stored search queries corresponding to a service and apply the identified set of search queries to the search engine to generate one or more search results for the service. Each search result has an assigned aggregate based on values of a set of parameters associated with the service. The method then analyzes the values of the set of parameters to determine a tradeoff point of each parameter to determine one or more weights to apply to the machine learning model based on the tradeoff points. The method stores the determined one or more weights and applies them to the machine learning model for a search query corresponding to the service.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.