US 12,219,191 B2
Systems and methods for optimized delivery of targeted media
Brendan Kitts, Seattle, WA (US); Dyng Au, Seattle, WA (US); and Jon Borchardt, Seattle, WA (US)
Assigned to ADAP.TV, Inc., Dulles (VA)
Filed by ADAP.TV, Inc., Dulles, VA (US)
Filed on Jan. 25, 2023, as Appl. No. 18/159,323.
Application 18/159,323 is a continuation of application No. 17/453,251, filed on Nov. 2, 2021, granted, now 11,601,702.
Application 17/453,251 is a continuation of application No. 17/129,357, filed on Dec. 21, 2020, granted, now 11,197,047, issued on Dec. 7, 2021.
Application 17/129,357 is a continuation of application No. 16/733,777, filed on Jan. 3, 2020, granted, now 10,911,808, issued on Feb. 2, 2021.
Application 16/733,777 is a continuation of application No. 16/118,650, filed on Aug. 31, 2018, granted, now 10,567,820, issued on Feb. 18, 2020.
Application 16/118,650 is a continuation of application No. 14/817,990, filed on Aug. 4, 2015, granted, now 10,104,411, issued on Oct. 16, 2018.
Claims priority of provisional application 62/032,936, filed on Aug. 4, 2014.
Prior Publication US 2023/0164374 A1, May 25, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 21/258 (2011.01); G06Q 30/02 (2023.01); G06Q 30/0242 (2023.01); G06Q 30/0251 (2023.01); G06Q 30/0273 (2023.01); H04N 21/234 (2011.01); H04N 21/24 (2011.01); H04N 21/25 (2011.01); H04N 21/2547 (2011.01); H04N 21/2668 (2011.01); H04N 21/442 (2011.01); H04N 21/466 (2011.01); H04N 21/658 (2011.01); H04N 21/81 (2011.01)
CPC H04N 21/25883 (2013.01) [G06Q 30/02 (2013.01); G06Q 30/0242 (2013.01); G06Q 30/0269 (2013.01); G06Q 30/0273 (2013.01); H04N 21/23424 (2013.01); H04N 21/2407 (2013.01); H04N 21/252 (2013.01); H04N 21/2547 (2013.01); H04N 21/25891 (2013.01); H04N 21/2668 (2013.01); H04N 21/44204 (2013.01); H04N 21/4667 (2013.01); H04N 21/6582 (2013.01); H04N 21/812 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of recommending electronic media placement for multiple content providers, the method comprising:
calculating, by a processor, a cost metric for each impression opportunity among a plurality of impression opportunities according to a cost per targeted impression and a calculated first relevance of each targeted viewer among a plurality of targeted viewers for the respective impression opportunity; and
generating, by the processor, recommendations for a selected impression opportunity among the plurality of impression opportunities based on the calculated first relevance of each targeted viewer and the calculated cost metric.