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    • 3. 发明授权
    • Network configuration system
    • US10958553B2
    • 2021-03-23
    • US16176226
    • 2018-10-31
    • Citrix Systems, Inc.
    • Saurabh PantAnup Lal Gupta
    • H04L12/26G06N3/04G06N3/08H04L12/24
    • 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.