System and method for identifying comparables

US11720842B2 · kind B2 · utility

Assignee

• KPMG LLP · US

Inventors

• Steven Galginaitis · Bradenton, US
• Michel Braun · Düsseldorf, DE
• Matthew Cretcher · Dallas, US
• Brian Shea · La Grange, US
• Mitchell Miller · Martinez, US
• Rebecca Reitz · Seattle, US
• Jillian Schleicher · Seattle, US
• John Hyung Lee · Irvine, US
• Marc Daniel Allen · Hillsboro, US

Key dates

• Filing date: Dec 31, 2019
• Grant date: Aug 8, 2023
• Expiry date: Nov 3, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0283
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The invention relates to a computer implemented system and method for identification of comparables. The method may comprise: receiving input data from a plurality of data sources for a comparable, generating labeled training data for a function classifier by labeling historical search results for comparables, generating probabilistic training data for the primary product and service classifiers, training the primary product and service classifiers using the labeled training data and the probabilistic training data, determining the functions, products, services, and risks of the comparable using the corresponding classifiers, receiving attributes of a tested party, applying a scoring algorithm to calculate a similarity score for the comparable, generating a recommendation to accept the comparable, reject the comparable, or give additional scrutiny to determine acceptability, and automatically providing a written justification for the decision to accept or to reject the comparable.