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:
Apr. 16, 2024

Filed:

May. 22, 2018
Applicants:

Micro Focus Llc, Santa Clara, CA (US);

Zhu Jing Wu, Shanghai, CN;

Xin-yu Wang, Shanghai, CN;

Jin Wang, Shanghai, CN;

Chun-hua LI, Shanghai, CN;

Zhen Cui, Shanghai, CN;

Inventors:

Zhu Jing Wu, Shanghai, CN;

Xin-Yu Wang, Shanghai, CN;

Jin Wang, Shanghai, CN;

Chun-Hua Li, Shanghai, CN;

Zhen Cui, Shanghai, CN;

Assignee:

Micro Focus LLC, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/107 (2023.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06N 3/044 (2023.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/107 (2013.01); G06F 18/214 (2023.01); G06F 18/24155 (2023.01); G06N 3/044 (2023.01); G06N 7/01 (2023.01);
Abstract

A computing device includes a processor and a medium storing instructions. The instructions are executable by the processor to: in response to a receipt of an electronic request comprising one or more structured data fields and one or more unstructured data fields, identify a set of previous electronic requests using the one or more structured data fields of the received electronic request; train a probabilistic classification model using at least one structured data field of the identified set of previous electronic requests; execute the trained probabilistic classification model using the one or more unstructured data fields of the received electronic request; and automatically select a request handler using an output of the executed probabilistic classification model.


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