Search engine for recommending search queries based on user interactions using a transformer-based language model
US12373446B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 26, 2024 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Mar 26, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An online system provides a search interface for a user to identify items. The search interface may present suggested search queries to the user, allowing the user to select a suggested search query rather than manually entering search terms to form a search query. To identify search queries most likely to be selected by the user, the online system gets a set of candidate search queries and generates a relevance score for each candidate search query by applying a trained query relevance model to each candidate search query. The scored candidate search queries are selected and ranked using the relevance scores, and the selected candidate search queries are displayed using the ranking in the search interface. The query relevance model is a transformer-based small language model receiving a user sequence of prior search queries and items with which the user interacted and the candidate search terms as input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.