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:
Mar. 12, 2024

Filed:

Dec. 06, 2021
Applicant:

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

Inventors:

Satyam Dwivedi, Bangalore, IN;

Vijay Ekambaram, Chennai, IN;

Kushagra Manglik, Lucknow, IN;

Nupur Aggarwal, Bangalore, IN;

Vikas C. Raykar, Bangalore, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06F 40/40 (2020.01); G06Q 30/0601 (2023.01); H04L 51/046 (2022.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06F 40/40 (2020.01); G06Q 30/0629 (2013.01); H04L 51/046 (2013.01);
Abstract

Methods, systems, and computer program products for facilitating user selection using trend-based joint embeddings are provided herein. A method includes obtaining a selection of an item in an online catalog; determining a compatible item of the plurality of items at least in part by providing the selected at least one item and at least one previously selected item corresponding to the user to a trend-based machine learning model, wherein the trend-based machine learning model is trained on historical data associated with the item in the online catalog and fine-tuned based on current trend data from multiple data sources; receiving feedback in response to outputting the at least one compatible item; identifying one or more attributes related to the at least one compatible item based on the feedback; and using the trend-based machine learning model to determine at least one additional compatible item based on the one or more attributes.


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