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:
May. 14, 2024

Filed:

Nov. 08, 2021
Applicant:

Procore Technologies, Inc., Carpinteria, CA (US);

Inventors:

James Adam Pita, Middletown, MD (US);

Catherine Knuff, Brooklyn, NY (US);

Assignee:

Procore Technologies, Inc., Carpinteria, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2023.01); G06F 18/214 (2023.01); G06F 18/23213 (2023.01); G06N 20/20 (2019.01); G06Q 10/0631 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/06313 (2013.01); G06F 18/214 (2023.01); G06F 18/23213 (2023.01); G06N 20/20 (2019.01); G06Q 10/06312 (2013.01);
Abstract

A computing platform is configured to: (i) at a first time, input data values for a first set of data variables associated with a given construction project into a first machine-learning model that functions to output a prediction of a first set of reference projects that are similar to the given construction project, (ii) based on historical data for the first set of reference projects, determine a predicted value for a parameter of the given construction project, (iii) at a second time, input data values for a second set of data variables associated with the given construction project into a second machine-learning model that functions to output a prediction of a second set of reference projects that are similar to the given construction project, and (iv) based on historical data for the second set of reference projects, determine an updated predicted value for the parameter of the given construction project.


Find Patent Forward Citations

Pita, James. (2024). Machine-learning-based prediction of construction project parameters (U.S. Patent No. 11983653). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11983653

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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