US 12,395,421 B1
Measuring performance in cognitive networks
Grégory Mermoud, Venthône (CH); and Jean-Philippe Vasseur, Combloux (FR)
Assigned to Cisco Technology, Inc., San Jose, CA (US)
Filed by Cisco Technology, Inc., San Jose, CA (US)
Filed on Feb. 16, 2024, as Appl. No. 18/443,952.
Int. Cl. H04L 43/55 (2022.01); H04L 41/147 (2022.01); H04L 43/08 (2022.01)
CPC H04L 43/55 (2022.05) [H04L 41/147 (2013.01); H04L 43/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
using, by a device, a quality of experience model to make predictions comprising probabilities of a quality of experience metric for an online application accessed via a network being acceptable;
determining, by the device and for each of a subset of the predictions having lowest probabilities of acceptable user experience from amongst the predictions, whether that prediction corresponds to a negative experience rating by a user of the online application;
computing, by the device, a negative retrieval accuracy for the quality of experience model based on a count of negative experience ratings associated with the subset and a size of the subset; and
using, by the device, the negative retrieval accuracy to detect an issue in the network.