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. 30, 2023

Filed:

Jun. 17, 2019
Applicant:

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

Inventors:

Baoxu Shi, San Jose, CA (US);

Feng Guo, Los Gatos, CA (US);

Jaewon Yang, Campbell, CA (US);

Qi He, San Jose, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2023.01); G06Q 10/10 (2023.01); G06N 20/00 (2019.01); G06Q 10/0631 (2023.01); G06Q 10/1053 (2023.01); G06Q 10/0639 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/063112 (2013.01); G06N 20/00 (2019.01); G06Q 10/06393 (2013.01); G06Q 10/06398 (2013.01); G06Q 10/1053 (2013.01);
Abstract

Techniques for scoring data items using a machine-learned model are provided. In one technique, multiple skills are identifying based on a job posting. Multiple attribute values of the job posting are identified. For each identified skill, multiple probabilities are identified, each probability corresponding to a different attribute value of the identified attribute values. The probabilities are input into a machine-learned model to generate multiple scores. Multiple skills of a candidate user are identified. An affinity score between the job posting and the candidate user is generated based the scores and the skills of the candidate user.


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