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:
Oct. 01, 2024

Filed:

Feb. 19, 2018
Applicant:

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

Inventors:

Aaron K. Baughman, Silver Spring, MD (US);

Gray F. Cannon, Miami, FL (US);

Ryan L. Whitman, Spalding, GA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06F 16/9535 (2019.01); G06N 3/045 (2023.01); H04L 67/025 (2022.01); H04L 67/50 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 16/9535 (2019.01); G06N 3/045 (2023.01); H04L 67/025 (2013.01); H04L 67/535 (2022.05);
Abstract

Modifying digital content based on predicted future user behavior is provided. Trends in propagation values corresponding to a layer of nodes in an artificial neural network are identified based on measuring the propagation values at each run of the artificial neural network. The trends in the propagation values are forecasted to generate predicted propagation values at a specified future point in time. The predicted propagation values are applied to the layer of nodes in the artificial neural network. Predicted website analytics values corresponding to a set of website variables of interest for the specified future point in time are generated based on running the artificial neural network with the predicted propagation values. A website corresponding to the set of website variables of interest is modified based on the predicted website analytics values corresponding to the set of website variables of interest for the specified future point in time.


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