System and Methods for Generating Representative Models

ChangeBridge: Patent Apps - Business Methods (G06Q)

Published October 23rd, 2025

Detected March 26th, 2026

Summary

The USPTO has published a patent application (US20260087428A1) detailing systems and methods for generating representative models and assigning service members. The application, filed on October 23, 2025, describes a process involving generating feature vectors from user responses to queries, creating representative models, and using these models to facilitate communication with service members.

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What changed

This document is a published patent application from the USPTO, specifically application US20260087428A1, titled "Systems and Methods for Generating Representative Models and Assigning Service Members." The application details a technical process for creating user models based on query responses and then using these models to match users with members of a task-facilitation service. The filing date was October 23, 2025, and the publication date is March 26, 2026.

As this is a patent application, it does not impose direct regulatory obligations or compliance deadlines on businesses. However, the underlying technology described could be relevant for companies developing AI-driven customer service, resource allocation, or personalized communication systems. Companies operating in sectors that utilize such technologies should be aware of patent filings in this area as they may impact future intellectual property landscapes and competitive strategies.

Source document (simplified)

← USPTO Patent Applications

SYSTEMS AND METHODS FOR GENERATING REPRESENTATIVE MODELS

Application US20260087428A1 Kind: A1 Mar 26, 2026

Inventors

Yoky Matsuoka, Nitin Viswanathan, Gwendolyn W. van der Linden, Malia Beaulieu, Lingyun Liu, Benjamin Deming, Sean Paterson

Abstract

Systems and methods are presented herein for generating representative models and assigning members of a task-facilitation service to representatives based on corresponding representative models. The task-facilitation service can transmit a set of queries that when received cause a computing device to generate a set of responses. The task-facilitation service may generate a feature vector that corresponds to the set of responses. The feature vector may be used to generate a representative model that corresponds to a user of the computing device. The representative model may be usable to establish communications one or more members of the task-facilitation service. The task-facilitation service may determine a correspondence between the representative model and one or more user models that correspond to the one or more members. The task-facilitation service may receive a selection of a particular user model and facilitate a communication to a client device associated with the particular user model.