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:
Aug. 16, 2022

Filed:

Jul. 09, 2020
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Sanjay Sharma, New Delhi, IN;

Nilesh Kumar Gupta, New Delhi, IN;

Madhuleena Adhikary, Kolkata, IN;

Arpendu Kumar Ganguly, Gurgaon, IN;

Utkarsh Mittal, Ghaziabad, IN;

Samik Adhikary, Frankfurt, DE;

Amitava Dey, New Delhi, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06N 20/00 (2019.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06Q 30/0224 (2013.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/0201 (2013.01); G06Q 30/0204 (2013.01);
Abstract

In some examples, personality trait-based customer behavior prediction may include extracting personality features from images associated with a user. Social style features may be extracted from social data associated with the user. Consumer demographics features may be extracted from consumer demographics data associated with the user. Based on a probability analysis of the extracted features, relevant features may be selected from the images, the social data, and the consumer demographics data. Historical purchase features may be extracted from historical purchase data associated with the user. At least one machine learning model may be trained based on the extracted features, and used to generate a next best offer for the user for purchase of a product or a service. A purchase of the product or the service may be performed based on the generated offer.


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