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:
Feb. 07, 2023

Filed:

Jul. 16, 2020
Applicant:

Avanade Holdings Llc, Wilmington, DE (US);

Inventors:

Michele D. Bennett, Berwyn, PA (US);

Mark J. Garavaglia, Mercer Island, WA (US);

Michael P. Isaac, Chanhassen, MN (US);

Stephanie Mills, London, GB;

William Jeffrey Harding, Seattle, WA (US);

Anthony Joseph Molisani, Philadelphia, PA (US);

William Scott Powell, Seattle, WA (US);

Robert James Boisjolie, Pennington, NJ (US);

Assignee:

Avanade Holdings LLC, Wilmington, DE (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/2457 (2019.01); G10L 15/06 (2013.01); G10L 15/22 (2006.01); G10L 15/18 (2013.01); G06N 20/00 (2019.01); G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/24578 (2019.01); G06N 20/00 (2019.01); G10L 15/063 (2013.01); G10L 15/18 (2013.01); G10L 15/22 (2013.01); G06Q 10/06393 (2013.01);
Abstract

A device may transmit questionnaires to a set of client devices, wherein the questionnaires include a set of questions that relate to an internal entity experience attribute and/or an external entity experience attribute. The device may receive a set of questionnaire responses and correlate the set of questionnaire responses with contextual data relating to an entity. The device may process, using a machine learning model trained based on data relating to one or more other entities, the set of questionnaire responses and the contextual data to identify a set of features and a set of feature ranks. The device may select a subset of features based on the set of feature ranks and a set of influence thresholds. The device may generate a set of recommendations associated with the subset of features and communicate with one or more other devices to implement the set of recommendations.


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