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:
Nov. 30, 2021

Filed:

Jul. 26, 2018
Applicant:

Emc Ip Holding Company Llc, Hopkinton, MA (US);

Inventors:

Venkata Chandra Sekar Rao, Bangalore, IN;

Sumit Gupta, Bangalore, IN;

Kirti Khade, Bangalore, IN;

Kalpana Razdan, Bangalore, IN;

Diwahar Sivaraman, Bangalore, IN;

Assignee:

EMC IP Holding Company LLC, Hopkinton, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06N 3/08 (2006.01); G06F 16/9535 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0202 (2013.01); G06F 16/9535 (2019.01); G06N 3/08 (2013.01);
Abstract

Methods, apparatus, and processor-readable storage media for dynamically determining customer intent and related recommendations using deep learning techniques are provided herein. An example computer-implemented method includes generating a prediction as to whether a user will order a particular offering during a user browsing session by applying one or more deep learning techniques to browsing session data derived from the user browsing session; mapping the user browsing session to one or more pre-established procurement user types by comparing the browser session data to data pertaining to multiple pre-established procurement user types; determining a recommendation of one or more offerings distinct from the particular offering, wherein determining the recommendation is based at least in part on the generated prediction and the mapping of the user browsing session to one or more of the multiple pre-established procurement user types; and outputting, within the user browsing session, the recommendation to the user.


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