The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 30, 2024

Filed:

Feb. 08, 2021
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Gonzalo A. Ramos, Kirkland, WA (US);

Jin A Suh, Seattle, WA (US);

Christopher Alan Meek, Kirkland, WA (US);

Shiqian Rachel Ng, Seattle, WA (US);

Napol Rachatasumrit, Pittsburgh, PA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/022 (2023.01); G06F 16/904 (2019.01); G06N 20/00 (2019.01); G06F 40/103 (2020.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06N 5/022 (2013.01); G06F 16/904 (2019.01); G06F 40/103 (2020.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01);
Abstract

In examples, a schema augmentation system for exploratory research leverages intelligence from a machine learning model to augment such tasks by leveraging intelligence derived from machine learning capabilities. Augmenting tasks include schematization of content, such as information units and groupings of information units. Based on the schematization of such content, semantic proximities for information units are determined. The semantic proximities may be used to identify and present potentially relevant information units, for example to accelerate the exploratory research task at hand. As such, users engaged in consumption of heterogeneous content (e.g., across client applications and/or content sources), may receive machine-augmented support to find potential information units. To optimize machine training, user input may be received, such that the system may intelligently augment the user's exploratory research task based on the semantic coherence of the content processed from information units and associated user behavior.


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