US 11,706,090 B2
Computer network troubleshooting
Arjun Mathur, Stanwood, WA (US); Andrew Ash, San Carlos, CA (US); Anuraag Bahl, New York, NY (US); Andy Chen, New York, NY (US); Aydin Keskin, Jersey City, NJ (US); Christopher Rogers, Brooklyn, NY (US); Anshuman Prasad, New York, NY (US); Ankit Shankar, Redwood City, CA (US); Casey Patton, London (GB); Christopher Wynnyk, Washington, DC (US); Joanna Peller, London (GB); Jonathan Victor, New York, NY (US); Mackenzie Bohannon, San Rafael, CA (US); Mitchell Skiles, New York, NY (US); Nikhil Taneja, New York, NY (US); Ryan Norris, London (GB); Scott Adams, London (GB); Samuel Sinensky, New York, NY (US); Sri Krishna Vempati, Santa Clara, CA (US); Thomas Mathew, St. Livonia, MI (US); Vinoo Ganesh, New York, NY (US); and Rahij Ramsharan, London (GB)
Assigned to Palantir Technlogies Inc., Denver, CO (US)
Filed by Palantir Technologies Inc., Denver, CO (US)
Filed on Nov. 16, 2021, as Appl. No. 17/455,127.
Application 17/455,127 is a continuation of application No. 16/895,621, filed on Jun. 8, 2020, granted, now 11,206,196.
Application 16/895,621 is a continuation of application No. 15/916,073, filed on Mar. 8, 2018, granted, now 10,721,142, issued on Jul. 21, 2020.
Prior Publication US 2022/0150138 A1, May 12, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 41/08 (2022.01); H04L 41/5074 (2022.01); H04L 41/5022 (2022.01); H04L 41/0604 (2022.01); H04L 41/5067 (2022.01); G06F 18/243 (2023.01)
CPC H04L 41/0876 (2013.01) [G06F 18/24323 (2023.01); H04L 41/0609 (2013.01); H04L 41/5022 (2013.01); H04L 41/5067 (2013.01); H04L 41/5074 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer system comprising:
one or more computer processors configured to execute computer executable instructions to cause the computer system to:
access a model that has been trained, using historical data associated with a plurality of users of a network, to generate importance values for reported problems based on at least demographics data for the plurality of users of the network and network usage data for the plurality of users of the network;
receive a reported problem from a new user of the network and about a connection to the network of a first computer device of the new user;
apply the model to at least the reported problem and the new user to generate an importance value;
determine a node in the network with a connection to the first computer device;
create at least a first work order based on one or more actions to be taken for the node;
calculate a first priority value for the first work order based at least in part on the importance value; and
cause the first work order to be executed based at least in part on the first priority value.