Patent · US Active

Multi-modal machine-learning model training for search

US11914665B2 · kind B2 · utility

0Cited by

1References

20Claims

0Family size

Assignee

Adobe Inc. · US

Inventors

Matvey Kapilevich · Ardsley-on-Hudson, US
Margarita Savova · Jersey City, US
Anup Rao · San Jose, US
Tung Mai · San Jose, US
Lakshmi Shivalingaiah · Berkeley, US
Liron Goren Snai · Sunnyvale, US
Charles Menguy · New York, US
Vijeth Lomada · San Jose, US
Moumita Sinha · Sherghati, IN
Harleen Sahni · Washington, US

Key dates

Filing date	Feb 18, 2022
Grant date	Feb 27, 2024
Priority date	—
Expiry date	Nov 18, 2042

Classification

Technology area (CPC H)Electricity
CPC primaryH04L67/10
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Multi-modal machine-learning model training techniques for search are described that overcome conventional challenges and inefficiencies to support real time output, which is not possible in conventional training techniques. In one example, a search system is configured to support multi-modal machine-learning model training. This includes use of a preview mode and an expanded mode. In the preview mode, a preview segment is generated as part of real time training of a machine learning model. In the expanded mode, the preview segment is persisted as an expanded segment that is used to train and utilize an expanded machine-learning model as part of search.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.