US 12,335,570 B2
Methods and apparatus to correct errors in audience measurements for media accessed using over-the-top devices
Kumar Nagaraja Rao, Fremont, CA (US); Kamer Toker Yildiz, Campbell, CA (US); Jennifer Haskell, Sunnyvale, CA (US); Cristina Ion, Belmont, CA (US); and Mimi Zhang, San Francisco, 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 May 22, 2024, as Appl. No. 18/671,630.
Application 18/671,630 is a continuation of application No. 18/327,634, filed on Jun. 1, 2023, granted, now 12,015,826.
Application 18/327,634 is a continuation of application No. 17/676,689, filed on Feb. 21, 2022, granted, now 11,706,490, issued on Jul. 18, 2023.
Application 17/676,689 is a continuation of application No. 17/027,398, filed on Sep. 21, 2020, granted, now 11,259,086, issued on Feb. 22, 2022.
Application 17/027,398 is a continuation of application No. 16/525,218, filed on Jul. 29, 2019, granted, now 10,785,537, issued on Sep. 22, 2020.
Application 16/525,218 is a continuation of application No. 15/956,092, filed on Apr. 18, 2018, granted, now 10,368,130, issued on Jul. 30, 2019.
Application 15/956,092 is a continuation of application No. 14/967,355, filed on Dec. 13, 2015, granted, now 10,045,082, issued on Aug. 7, 2018.
Claims priority of provisional application 62/188,380, filed on Jul. 2, 2015.
Prior Publication US 2024/0314395 A1, Sep. 19, 2024
Int. Cl. H04N 21/466 (2011.01); G06Q 30/00 (2023.01); G06Q 30/02 (2023.01); G06Q 30/0241 (2023.01); G06Q 30/0251 (2023.01); H04N 21/25 (2011.01); H04N 21/258 (2011.01); H04N 21/442 (2011.01); H04N 21/45 (2011.01); H04N 21/81 (2011.01); G06Q 50/00 (2012.01)
CPC H04N 21/4663 (2013.01) [G06Q 30/00 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0241 (2013.01); G06Q 30/0251 (2013.01); H04N 21/252 (2013.01); H04N 21/25883 (2013.01); H04N 21/25891 (2013.01); H04N 21/44222 (2013.01); H04N 21/44226 (2020.08); H04N 21/4532 (2013.01); H04N 21/4661 (2013.01); H04N 21/4667 (2013.01); H04N 21/812 (2013.01); G06Q 50/01 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining, from a media service provider, tuning data,
wherein the tuning data is associated with an over-the-top device in a household,
wherein the tuning data comprises an IP address of the over-the-top device, and
wherein the tuning data comprises a media content impression for a viewing event;
obtaining, using the IP address, a demographic composition for the household from a database proprietor,
wherein the demographic composition of the household defines demographic information for at least a first member of the household and a second member of the household;
applying, using a computing system, a trained machine learning model to determine respective probabilities that the first member and second member of the household viewed the viewing event,
wherein the trained machine learning model is trained using a training set of known demographics of each individual in a plurality of households and known viewership information associated with the respective individuals of the plurality of households; and
generating, using at least the respective probabilities, an audience measurement metric for the viewing event.