Identifying search results using deep query understanding
US11860957B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 25, 2021 |
| Grant date | Jan 2, 2024 |
| Priority date | — |
| Expiry date | Dec 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/041
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An improved search engine is disclosed. The search engine receives search queries from client devices and inputs these queries into a first neural network (an action understanding model) that includes an action embedding layer. The action embedding layer can be a word embedding layer constructed using action terms. The action understanding model outputs a filter match associated with a type of filter and, in some scenarios, an action-condition pair. The action-condition pair includes an action associated with the type of filter and a condition comprising an adaptive value associated with the action. Based on the filter and, if present, action-condition pair(s), the embodiments generate a structured query and issue the structured query to a data repository (e.g., database). The search engine then returns a search results page responsive to the search query that includes the results returned by the data repository in response to the structured query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.