Prediction-model-based mapping and/or search using a multi-data-type vector space
US11281962B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2017 |
| Grant date | Mar 22, 2022 |
| Priority date | — |
| Expiry date | Jul 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In certain embodiments, content items may be obtained, where each of the content items may include multiple data types. Machine learning models may be caused to be trained based on the content items to map data in a vector space by providing at least a first portion of each of the content items as input to at least one of the machine learning models and providing at least a second portion of each of the content items as input to at least another one of the machine learning models. A search request for results may be obtained, where the search request includes search parameters. One or more locations within the vector space may be predicted (e.g., by one or more of the machine learning models) based on the search parameters. Information (indicating content items mapped to or proximate the predicted locations) may be provided as a request response.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.