US 12,407,898 B2
Methods and apparatus to determine when a smart device is out-of-tab
Michael Evan Anderson, Chicago, IL (US); Samantha M. Mowrer, San Francisco, CA (US); Robert Gottesman, Chicago, IL (US); and Astha Jain, El Cerrito, CA (US)
Assigned to The Nielsen Company (US), LLC, New York, NY (US)
Filed by The Nielsen Company (US), LLC, New York, NY (US)
Filed on Feb. 7, 2022, as Appl. No. 17/666,312.
Application 17/666,312 is a continuation of application No. 16/862,501, filed on Apr. 29, 2020, granted, now 11,245,963.
Prior Publication US 2022/0159342 A1, May 19, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 21/442 (2011.01); H04H 60/31 (2008.01); H04H 60/37 (2008.01); H04H 60/45 (2008.01); H04N 21/658 (2011.01)
CPC H04N 21/44222 (2013.01) [H04H 60/31 (2013.01); H04H 60/37 (2013.01); H04H 60/45 (2013.01); H04N 21/6582 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computing system comprising:
a processor; and
a non-transitory computer-readable storage medium, having stored thereon program instructions that, upon execution by the processor, cause performance of a set of operations comprising:
training a tab status model using a training data set;
testing the tab status model with a subset of the training data set that was not used to train the tab status model to obtain a plurality of test output tab statuses;
comparing the plurality of test output tab statuses from the tab status model with corresponding tab statutes of the subset of the training data that was not used to train the tab status model;
based on the comparison, determining that an accuracy of the tab status model exceeds an accuracy threshold;
providing smart television data from a smart television as an input to the tab status model to generate an output,
wherein the smart television data is included in population data from a population of smart televisions;
the training data set, comprising, for each of multiple smart televisions, respective training data that is labeled as in-tab or out-of-tab based on whether the smart television lacked network connectivity for a threshold amount of time preventing transmission of additional smart television data to a server;
determining a tab status of the smart television based on the output of the tab status model;
removing the smart television data from the population data based on the tab status of the smart television being out-of-tab; and
crediting media in a report based on the population data after removing the smart television data from the population data.