公开(公告)号：US20240179218A1

公开(公告)日：2024-05-30

申请号：US18072267

申请日：2022-11-30

Applicant: Cisco Technology, Inc.

Inventor： Doosan Jung ,  Qihong Shao ,  Miriam Wagner Valladolid

IPC: H04L67/50 ,  G06N20/00

CPC classification number: H04L67/535 ,  G06N20/00

Abstract: Methods are provided for generating recommendations related to a network domain by performing self-supervised machine learning using masked modeling of input data related to user interactions with the network domain and/or network related information. Specifically, a computing device obtains input data including one or more of network information indicative of a plurality of network devices in a network domain and user behavior information indicative of one or more user interactions with the network domain. The computing device performs a self-supervised machine learning using mask modeling of a plurality of elements that represent the input data, to determine contextual meaning of the input data and generating at least one actionable task related to the network domain based on the contextual meaning of the input data. The computing device further provides the at least one actionable task for performing one or more actions associated with the network domain.