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:
Apr. 12, 2022

Filed:

Sep. 16, 2019
Applicant:

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

Inventors:

Norbert Herman, Denver, CO (US);

Daniel T. Lambert, Manhattan, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06N 20/00 (2019.01); G06F 16/28 (2019.01); G06F 16/955 (2019.01); G06F 16/9535 (2019.01); G06Q 10/06 (2012.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0204 (2013.01); G06F 16/285 (2019.01); G06F 16/955 (2019.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); G06Q 10/067 (2013.01); G06Q 30/0224 (2013.01); G06Q 30/0255 (2013.01); G06Q 50/01 (2013.01);
Abstract

Embodiments herein provide data clustering and user modeling for next-best-action decisions. Specifically, a modeling tool is configured to: receive indicators within unstructured social data from a plurality of users; analyze the unstructured social data of each of the plurality of users to assign a set of feature vectors to each of the plurality of users, each feature vector corresponding to one or more personality characteristics of each of the plurality of users; and analyze the feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors. The modeling tool is further configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; identify attributes of the cluster; and input the attributes of the cluster into a predictive model to determine an offer corresponding to the cluster.


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