Changeflow GovPing Banking & Finance Blue Yonder E-Commerce Patent, 20 Claims, Apr 21
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Blue Yonder E-Commerce Patent, 20 Claims, Apr 21

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Summary

USPTO granted Patent US12608739B1 to Blue Yonder Group, Inc. for systems and methods of multimodal interaction-based e-commerce. The patent (20 claims, CPC G06Q 30/06) covers multimodal fusion combining user focus and emotional-state tracking, collaborative filtering, and adaptive weighting for personalized product and service recommendations. The filing date was January 10, 2024.

Published by USPTO on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

What changed

USPTO issued Patent US12608739B1 to Blue Yonder Group, Inc. covering systems and methods for multimodal e-commerce recommendation. The invention combines user-focus and emotional-state tracking with collaborative filtering to generate an adaptive weighting scheme for item recommendations.

E-commerce platform operators, recommendation-system developers, and AI-enhanced retail technology providers should review these 20 claims for potential overlap with existing or planned systems. The patent covers specific techniques for action-based similarity calculation and user-user collaborative filtering that may be relevant to competitors in personalization and e-commerce AI.

Archived snapshot

Apr 22, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Grants

Systems and methods of multimodal interaction-based e-commerce

Grant US12608739B1 Kind: B1 Apr 21, 2026

Assignee

Blue Yonder Group, Inc.

Inventors

Pankaj Rathoure, Mayank Tiwari, Santosh Kumar

Abstract

A system and method are disclosed for performing multimodal fusion for e-commerce. The method includes monitoring a focus prompt of a current user, detecting a response of the current user corresponding to a displayed item, collecting attributes of the displayed item at different levels and track a focus and an emotional state of the current user, calculating an action-based similarity to generate a recommendation score of action similarity, applying collaborative filtering on a user-user similarity, identifying a most similar user to the current user based on the applied collaborative filtering to generate a user-user similarity, combine the recommendation score with the user-user similarity and superimpose a response classifier to generate a combined adaptive weighting scheme, identifying top suggested actions the current user is expected to perform based on the combined adaptive weighting scheme, and recommending an item or service to the current user based on the top suggested actions.

CPC Classifications

G06Q 30/06

Filing Date

2024-01-10

Application No.

18409259

Claims

20

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Last updated

Classification

Agency
USPTO
Published
April 21st, 2026
Instrument
Notice
Branch
Executive
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US12608739B1

Who this affects

Applies to
Technology companies Retailers Manufacturers
Industry sector
5112 Software & Technology
Activity scope
Patent grant E-commerce technology AI recommendation systems
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Data Privacy

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