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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.

Patent No.:

US 12549504 B1

PDFFull Text
Date of Patent:
Feb. 10, 2026

Filed:

Sep. 28, 2023

Enhanced scheduling operations utilizing large language models and methods of use thereof

Applicant:

Yahoo Assets Llc, New York, NY (US);

Inventors:

Bassem Bouguerra, Long Beach, CA (US);

Kevin Patel, Fremont, CA (US);

Shashank Khanna, Fremont, CA (US);

Shiv Shankar Sahadevan, San Jose, CA (US);

Assignee:

YAHOO ASSETS LLC, New York, NY (US);

Attorneys:

James J. DeCarlo

Greenberg Traurig, LLP

Primary Examiner:

Mustafa Iqbal

Int. Cl.
CPC ...
G06F 40/00 (2020.01); G06F 16/00 (2019.01); G06F 16/34 (2019.01); G06F 40/166 (2020.01); G06F 40/20 (2020.01); G06F 40/205 (2020.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06Q 10/00 (2023.01); G06Q 10/1093 (2023.01); H04L 51/00 (2022.01); H04L 51/02 (2022.01); H04L 51/04 (2022.01); H04L 51/046 (2022.01); H04L 51/214 (2022.01); H04L 51/216 (2022.01); H04L 51/42 (2022.01); H04W 4/00 (2018.01); H04W 4/02 (2018.01);
U.S. Cl.
CPC ...
H04L 51/214 (2022.05); G06F 16/345 (2019.01); G06F 40/166 (2020.01); G06F 40/20 (2020.01); G06F 40/205 (2020.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06Q 10/1093 (2013.01); H04L 51/02 (2013.01); H04L 51/04 (2013.01); H04L 51/046 (2013.01); H04L 51/216 (2022.05); H04L 51/42 (2022.05); H04W 4/02 (2013.01);
Abstract

Disclosed are systems and methods for receiving a meeting request via an electronic account of a user; determining a conflict between the meeting request and a pre-existing meeting, extracting and comparing information associated with each meeting based on an analysis of each meeting; determining a priority associated with each meeting based on the analysis of the information of each meeting; and utilizing a machine learning model to generate an output associated with the priority of each meeting to the electronic account of the user.

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