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:
Sep. 17, 2019

Filed:

Sep. 25, 2015
Applicant:

Conduent Business Services, Llc, Dallas, TX (US);

Inventors:

Sharmistha Jat, Pune, IN;

Anuj Mahajan, Indore, IN;

Shourya Roy, Bangalore, IN;

Assignee:

Conduent Business Services, LLC, Florham Park, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); H04L 12/58 (2006.01); H04L 29/08 (2006.01); G06F 16/28 (2019.01); G06F 16/2457 (2019.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06N 7/005 (2013.01); H04L 51/32 (2013.01); H04L 67/02 (2013.01);
Abstract

The disclosed embodiments illustrate methods and systems for predicting requirements of a user for resources. The method includes transforming a message posted by the user into a first message vector. The method further includes categorizing one or more first message vectors into one or more categories. The method further includes transforming each of the categorized first message vectors into one or more second message vectors using a wavelet transform technique. The method further includes determining, for each of the categorized first message vectors, a first score based on at least a probability distribution of one or more coefficients associated with each associated feature. The method further includes selecting a predefined number of features based on at least the first score. The method further includes training one or more classifiers on the selected predefined number of features to identify at least the one or more needs of the user.


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