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:
May. 18, 2021

Filed:

Mar. 09, 2018
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Guanglei Xiong, Fremont, CA (US);

Chung-Sheng Li, Scarsdale, NY (US);

Christopher Cole, San Anselmo, CA (US);

Michael Dekshenieks, Menlo Park, CA (US);

Kayhan Moharreri, San Jose, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G06N 20/00 (2019.01); G06F 15/76 (2006.01); G06F 40/40 (2020.01); G06F 40/279 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01);
U.S. Cl.
CPC ...
G06Q 10/0631 (2013.01); G06F 15/76 (2013.01); G06F 40/279 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01); G06F 40/40 (2020.01); G06N 20/00 (2019.01); G06Q 10/0633 (2013.01); G06Q 10/0639 (2013.01);
Abstract

Examples of job allocation are described hereon. In an example, a job for allocation may be received. The job may be analyzed to obtain information pertaining to the job. The information may comprise at least one of a domain of the job and a priority level of the job. Further, performance of resources may be determined to provide resource information. The resource information may be determined using a supervised learning model comprising a job vector for each job type and a resource vector corresponding to each resource. The resource information may include a list of resources with at least one of a corresponding probability of each resource completing the job and a performance score of each resource. Based on the job information and the resource information, the resource may be recommended for the job using an expertise-estimation modeling technique and the job may be assigned to the recommended resource, accordingly.


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