Fair Isaac‘s patent involves a method, system, and computer program for generating interpretable features from data sources. The process includes defining search parameters, extracting features with predictive scores, and repeating searches based on feedback data. The system evaluates features using objective functions for improved results. GlobalData’s report on Fair Isaac gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Fair Isaac, AI for workflow management was a key innovation area identified from patents. Fair Isaac's grant share as of January 2024 was 52%. Grant share is based on the ratio of number of grants to total number of patents.

Generating interpretable set of features from search parameters and constraints

Source: United States Patent and Trademark Office (USPTO). Credit: Fair Isaac Corp

A recently granted patent (Publication Number: US11886512B2) discloses a computer-implemented method for searching data from multiple sources using defined search parameters and constraints. The method involves extracting predictive features from the searched data, evaluating these features using objective functions, and repeating the search process based on the evaluation results. The objective functions may include determining stand-alone or incremental values of features, or a combination of both. The system and computer program product based on this method also utilize Bayesian search techniques for efficient data retrieval.

Furthermore, the patent details the types of data that can be searched, such as transaction data, time-series data, tradeline data, or snapshot data. The search parameters can include data filter parameters, data aggregation parameters, or a combination of both, while constraints can be constraining values associated with specific search parameters. The features extracted from the data are determined using feature operators based on the search parameters and constraints. Overall, the patented method, system, and computer program product offer a comprehensive approach to searching and analyzing data from various sources, providing valuable predictive insights through iterative search processes and objective function evaluations.

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