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:
Jan. 02, 2024

Filed:

Sep. 10, 2019
Applicant:

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

Inventors:

Janani Janakiraman, Austin, TX (US);

Su Liu, Austin, TX (US);

Nadiya Kochura, Bolton, MA (US);

Fang Lu, Billerica, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06F 40/284 (2020.01); G06F 18/23 (2023.01); G06F 18/21 (2023.01); G06V 30/40 (2022.01); G06V 30/19 (2022.01); G06V 30/262 (2022.01); G06V 10/762 (2022.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 18/217 (2023.01); G06F 18/23 (2023.01); G06F 40/284 (2020.01); G06N 20/00 (2019.01); G06T 7/97 (2017.01); G06V 10/762 (2022.01); G06V 30/1916 (2022.01); G06V 30/268 (2022.01); G06V 30/274 (2022.01); G06V 30/40 (2022.01);
Abstract

Techniques for machine learning analysis are provided. A machine learning (ML) model is trained to identify appropriate documents based on lexical knowledge of target groups. A lexical knowledge of a set of users is determined. Additionally, a first document of a plurality of documents is selected by processing the determined level of lexical knowledge using the ML model. The first document is presented to the set of users. A level of engagement of the set of users is then determined. Upon determining that the level of engagement is below a predefined threshold, a second document of the plurality of documents is selected using the ML model.


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