Electronic Apparatus for Providing Recommendation Information and Operating Method Thereof
Summary
The USPTO published patent application US20260099696A1 filed by Visa on April 9, 2026, covering an AI recommendation system. The application (originally filed October 30, 2024, Application No. 18931310) describes an electronic apparatus using a trained artificial intelligence model with self-attention layers and inductive bias processing to derive recommendation information from sequential data patterns. Inventors include Noseong Park, Yehjin Shin, Jeongwhan Choi, and Hyowon Wi.
What changed
The USPTO published patent application US20260099696A1 for an AI recommendation system developed by Visa. The patent describes a method using artificial intelligence with embedding layers, self-attention processing, and inductive bias injection to analyze sequential data patterns and generate recommendation outputs. The system architecture includes specific layer configurations for data processing and attention mechanisms.
Patent application publications do not create compliance obligations or regulatory requirements. Technology companies, AI developers, and financial services firms may monitor this filing for competitive intelligence regarding Visa's AI recommendation technology development. The publication provides public notice of patent claims without imposing any regulatory obligations.
Archived snapshot
Apr 18, 2026GovPing 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.
ELECTRONIC APPARATUS FOR PROVIDING RECOMMENDATION INFORMATION AND OPERATING METHOD THEREOF
Application US20260099696A1 Kind: A1 Apr 09, 2026
Inventors
Noseong Park, Yehjin Shin, Jeongwhan Choi, Hyowon Wi
Abstract
The present disclosure relates to an electronic apparatus for providing recommendation information and an operating method thereof. A method of providing recommendation information, the method being performed by an electronic apparatus, includes acquiring a data set including a plurality of data having a sequential pattern, deriving recommendation information corresponding to the data set using a trained artificial intelligence model, and providing the recommendation information to an external apparatus, wherein the artificial intelligence model is constructed to include a first layer that performs embedding on the data set, a (2-1)-th layer that performs self-attention based on a result of the embedding by the first layer, and a (2-2)-th layer that performs data processing to inject an inductive bias based on the result of the embedding by the first layer.
CPC Classifications
G06N 3/045 G06N 3/0499
Filing Date
2024-10-30
Application No.
18931310
Related changes
Get daily alerts for USPTO Patent Applications - AI & Computing (G06N)
Daily digest delivered to your inbox.
Free. Unsubscribe anytime.
Source
About this page
Every important government, regulator, and court update from around the world. One place. Real-time. Free. Our mission
Source document text, dates, docket IDs, and authority are extracted directly from USPTO.
The summary, classification, recommended actions, deadlines, and penalty information are AI-generated from the original text and may contain errors. Always verify against the source document.
Classification
Who this affects
Taxonomy
Browse Categories
Get alerts for this source
We'll email you when USPTO Patent Applications - AI & Computing (G06N) publishes new changes.
Subscribed!
Optional. Filters your digest to exactly the updates that matter to you.