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. 31, 2020

Filed:

Apr. 17, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Faried Abrahams, Laytonsville, MD (US);

Rashida A. Hodge, Ossining, NY (US);

Gandhi Sivakumar, Bentleigh, AU;

Amol A. Dhondse, Kothrud, IN;

Anand Pikle, Pune, IN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 17/27 (2006.01); G06N 20/00 (2019.01); G06F 16/901 (2019.01); G06F 16/9038 (2019.01); G06F 16/9032 (2019.01);
U.S. Cl.
CPC ...
G06F 17/278 (2013.01); G06F 16/9024 (2019.01); G06F 16/9038 (2019.01); G06F 16/90332 (2019.01); G06F 17/277 (2013.01); G06N 20/00 (2019.01);
Abstract

Approaches presented herein enable optimizing resource allocation to a bid request response based on a cognitive analysis of natural language artifacts. More specifically, a bid request and a plurality of supporting artifacts in a natural language are obtained. A cognitive analysis of the request and supporting artifacts is performed to extract a set of information entities. The extracted information entities are normalized using a lexical-relations based graph database to classify the set of extracted information entities as standardized concepts. A subset of the set of the standardized concepts is identified as a set of parameters corresponding to a set of predetermined variables. Each variable of the set of predetermined variables is weighted according to a likelihood that the variable indicates a relevance of a resource. A probability that a particular resource is relevant is determined based on the weighting and that resource is assigned to the bid request response.


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