US 12,323,290 B2
Hierarchical auto summary generation with multi-task learning in networking recommendations
Qixu Gong, Santa Clara, CA (US); Benjamin L Chang, Saratoga, CA (US); Qihong Shao, Clyde Hill, WA (US); Derek William Engi, Pleasant Ridge, MI (US); and Jaime Madruga Rita, Rolesville, NC (US)
Assigned to CISCO TECHNOLOGY, INC., San Jose, CA (US)
Filed by Cisco Technology, Inc., San Jose, CA (US)
Filed on Mar. 16, 2023, as Appl. No. 18/184,972.
Prior Publication US 2024/0314020 A1, Sep. 19, 2024
Int. Cl. H04L 41/0631 (2022.01); H04L 41/069 (2022.01); H04L 41/16 (2022.01)
CPC H04L 41/065 (2013.01) [H04L 41/069 (2013.01); H04L 41/16 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining a plurality of notifications related to a plurality of network issues;
generating meta-semantic data comprising a summary of each of the plurality of notifications;
obtaining inventory data of a plurality of network devices in a plurality of domains of a network, the inventory data including configuration information of the plurality of network devices;
generating a multi-level hierarchical summary specific to the network based on the inventory data and the meta-semantic data, wherein the multi-level hierarchical summary includes a first level specific to one or more affected network devices from the plurality of network devices and a second level specific to a group of network devices including the one or more affected network devices and at least one other network device from the plurality of network devices that is related to the one or more affected network devices based on a device type, a specific configuration, and/or a network service, and wherein the summary of each of the plurality of notifications is shorter at the second level than the first level based on a set of rules; and
providing the multi-level hierarchical summary for performing one or more actions associated with the network.