The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 11, 2025

Filed:

Sep. 24, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Petar Ristoski, San Jose, CA (US);

Richard T. Goodwin, Dobbs Ferry, NY (US);

Jing Fu, Yorktown Heights, NY (US);

Richard B. Segal, Chappaqua, NY (US);

Robin Lougee, Yorktown Heights, NY (US);

Kimberly C. Lang, Yorktown Heights, NY (US);

Christian Harris, Port Chester, NY (US);

Tenzin Yeshi, New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 30/06 (2023.01); G06N 5/022 (2023.01); G06N 5/025 (2023.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0621 (2013.01); G06N 5/022 (2013.01); G06N 5/025 (2013.01);
Abstract

A method, system, and computer program product for representational learning of product formulas are provided. The method accesses a set of product formulas. Each product formula includes a set of ingredient tuples. A directed graph is generated from the set of product formulas. The directed graph including a node for each ingredient of the sets of ingredient tuples of the set of formulas. The method generates a weighted graph from the directed graph. The weighted graph has a weight assigned to each edge in the directed graph. The method generates an embedding model based on the directed graph. A set of embeddings is determined for the weighted graph where each node is represented with low-dimensional numerical vectors.


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