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. 15, 2022
Applicant:

Federal Home Loan Mortgage Corporation (Freddie Mac), McLean, VA (US);

Inventors:

Yuang Tang, Baltimore, MD (US);

Fabio Quijada, Reston, VA (US);

Jianglong Li, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/2457 (2019.01); G06F 16/2458 (2019.01); G06F 16/248 (2019.01); G06F 16/28 (2019.01); G06F 16/29 (2019.01); G06N 20/00 (2019.01); G06Q 50/16 (2012.01);
U.S. Cl.
CPC ...
G06F 16/29 (2019.01); G06F 16/24573 (2019.01); G06F 16/2465 (2019.01); G06F 16/248 (2019.01); G06F 16/288 (2019.01); G06N 20/00 (2019.01); G06Q 50/16 (2013.01);
Abstract

In an illustrative embodiment, an automated system engineers customized feature vectors from geospatial information system (GIS) metadata. The system may include computing systems and devices for extracting metadata for GIS features located within a predetermined distance of a property from a GIS map file and storing the extracted GIS features within a feature vector. The system can augment each of the extracted GIS features with amplifying data features extracted from external data sources. The system can calculate a distance between the property and each extracted GIS feature, which establishes a relationship between the property and each GIS feature and associated amplifying data features. Amounts of correlation between each of the extracted GIS features and associated amplifying data features within the feature vector and a market assessment of the property location can be identified using a data model trained with a data set customized to characteristics of the property.


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