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:
Mar. 30, 2021

Filed:

Nov. 28, 2016
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Malia Douglas, Seattle, WA (US);

Eric Ross Freistadt, Seattle, WA (US);

Joan Li, Seattle, WA (US);

Karl Rolando Henderson, Jr., Bellevue, WA (US);

Sidharth Sehgal, Bellevue, WA (US);

Mark Rubinstein, Seattle, WA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/289 (2020.01); H04L 29/08 (2006.01); H04L 12/58 (2006.01); G06Q 10/06 (2012.01); G06Q 10/10 (2012.01); G06F 16/9032 (2019.01);
U.S. Cl.
CPC ...
G06F 40/289 (2020.01); G06F 16/9032 (2019.01); G06F 40/30 (2020.01); G06Q 10/06 (2013.01); G06Q 10/063112 (2013.01); G06Q 10/10 (2013.01); H04L 51/02 (2013.01); H04L 51/32 (2013.01); H04L 67/22 (2013.01); H04L 67/306 (2013.01);
Abstract

Representative embodiments disclose intelligent help systems that monitor user interactions through email, digital assistants, and other applications and recognize when a user can utilize the help of an expert with a task. The system detects user intent and a category of problem from the interactions (i.e., email communications, etc.) and searches a database of user profiles to find experts with the proper expertise to help the user with the category of problem. User intent can be detected by parsing communications, extracting features from the communications, and using the extracted features to identify intent, such as through matching or machine learning. A social score and an expertise score are calculated for expert profiles from the database. The social score is based on a degree of separation and expert and the expertise score is based on a level of expertise. Experts and areas of commonality are presented to the user.


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