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:
Dec. 11, 2018

Filed:

Oct. 21, 2014
Applicant:

Elance, Inc., Mountain View, CA (US);

Inventors:

Kwan-Min Chiu, Fremont, CA (US);

Fabio Rosati, Palo Alto, CA (US);

Yuet Ping Poon, Cupertino, CA (US);

Megan Emily Kamil, Belmont, CA (US);

Assignee:

Elance, Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06Q 10/10 (2012.01); G06F 17/30 (2006.01); G06N 99/00 (2010.01);
U.S. Cl.
CPC ...
G06Q 10/1053 (2013.01); G06F 17/3053 (2013.01); G06F 17/30554 (2013.01); G06N 99/005 (2013.01);
Abstract

Embodiments of the present invention are directed to a system and method of calculating a match score and mapping the match score to a level. Interested contractors in a list are ranked based on a rank score that is calculated for each of the interested contractor using a set of factors. The rank score is a combination of factor scores associated with the factors. A mapping engine, implementing a machine learning model, maps each of the interested contractors to one of at least two levels based on the set of factor scores, by comparing the set of factor scores to historical data collected to determine the likelihood of the contractor having that set being chosen by the client. Any interested contractor who has been mapped to the highest level is distinguished from others in the list. The mapping engine continuously learns from the historical data to improve future mappings.


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