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. 23, 2021

Filed:

Oct. 31, 2018
Applicant:

Citrix Systems, Inc., Fort Lauderdale, FL (US);

Inventors:

Saurabh Pant, Bangalore, IN;

Anup Lal Gupta, Bangalore, IN;

Assignee:

Citrix Systems, Inc., Fort Fauderdale, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/26 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); H04L 12/24 (2006.01);
U.S. Cl.
CPC ...
H04L 43/0876 (2013.01); G06N 3/0427 (2013.01); G06N 3/08 (2013.01); H04L 41/0816 (2013.01); H04L 43/06 (2013.01);
Abstract

Methods and systems described herein are directed towards using artificial intelligence to recommend network features to add to networks. A network configuration system may determine the network components and usage characteristics for a network within a plurality of networks. The network configuration system may use an ensemble to generate recommendations based on the network components and usage characteristics of the plurality of networks. The ensemble may include one or more machine learning based recommenders. The ensemble may also include a non-personalized recommender that generates recommendations based on known compatibility between network features. The network configuration system may weight recommendations from each recommender to create a ranked ordering of the recommendations. The network configuration system may modify (e.g., add or remove network features) one or more networks based on the recommendations and/or user input. As networks are modified, the network configuration system may train each recommender to provide better recommendations.


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