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:
Nov. 30, 2021

Filed:

Mar. 26, 2018
Applicant:

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

Inventors:

Colleen Lhota, Cary, NC (US);

Ashley K. Silva, Durham, NC (US);

Aksel Davis, Raleigh, NC (US);

Jocelyn Sese, Knightdale, NC (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G06N 20/00 (2019.01); G06F 8/65 (2018.01); G06F 16/27 (2019.01);
U.S. Cl.
CPC ...
G06Q 10/06311 (2013.01); G06F 8/65 (2013.01); G06F 16/27 (2019.01); G06N 20/00 (2019.01); G06Q 10/063114 (2013.01);
Abstract

A method and system for improving a machine learning task assignment process is provided to address productivity with respect to satisfaction. The method includes connecting hardware devices to a server system. Job related data associated with job roles for individuals is retrieved and associated with a time period. Work related items of the job related data are presented and selections for work related items are retrieved via selectors for the work items. Expected and actual satisfaction ratings for the work related items are received and analyzed in accordance with an order in which they are received. At least one work item is assigned to a user and a specialized memory repository is generated within a portion of a memory device. Results of the assignment are stored within the specialized memory repository. Self-learning software code for executing future task assignment processes is generated and modified based on reported satisfaction ratings.


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