Invention Grant
- Patent Title: Machine-learning-based prediction of construction project parameters
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Application No.: US17521447Application Date: 2021-11-08
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Publication No.: US11983653B2Publication Date: 2024-05-14
- Inventor: James Adam Pita , Catherine Knuff
- Applicant: Procore Technologies, Inc.
- Applicant Address: US CA Carpinteria
- Assignee: Procore Technologies, Inc.
- Current Assignee: Procore Technologies, Inc.
- Current Assignee Address: US CA Carpinteria
- Agency: Lee Sullivan Shea & Smith LLP
- Main IPC: G06Q10/06
- IPC: G06Q10/06 ; G06F18/214 ; G06F18/23213 ; G06N20/20 ; G06Q10/0631
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.
Public/Granted literature
- US20230142105A1 Machine-Learning-Based Prediction of Construction Project Parameters Public/Granted day:2023-05-11
Information query
