US 11,694,221 B2
Dynamically modifying digital content distribution campaigns based on triggering conditions and actions
Xiaoxiao Ma, San Mateo, CA (US); Ko Ching Chang, Rowland Heights, CA (US); and Mohamed Yasser Ahmed Hammad Nour, Hamilton Township, NJ (US)
Assigned to Meta Platforms, Inc., Menlo Park, CA (US)
Filed by Meta Platforms, Inc., Menlo Park, CA (US)
Filed on Jan. 10, 2022, as Appl. No. 17/572,474.
Application 17/572,474 is a continuation of application No. 16/890,451, filed on Jun. 2, 2020, granted, now 11,244,347.
Application 16/890,451 is a continuation of application No. 15/798,170, filed on Oct. 30, 2017, granted, now 10,692,106, issued on Jun. 23, 2020.
Prior Publication US 2022/0129940 A1, Apr. 28, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/00 (2023.01); G06Q 30/0242 (2023.01); G06N 20/00 (2019.01); G06F 3/04817 (2022.01); G06F 3/0482 (2013.01)
CPC G06Q 30/0244 (2013.01) [G06N 20/00 (2019.01); G06F 3/0482 (2013.01); G06F 3/04817 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising at least one processor and at least one non-transitory computer readable storage medium storing instructions that, when executed by the at least one processor, cause the system to:
utilize a machine learning model to generate predicted campaign rules for a content distribution campaign, the predicted campaign rules comprising a plurality of predicted conditions and a plurality of predicted actions for the plurality of predicted conditions;
monitor activity of the content distribution campaign to automatically detect whether a first condition from the plurality of predicted conditions has been triggered, the first condition corresponding to a first action from the plurality of predicted actions; and
in response to detecting that the first condition has been triggered, automatically modify the content distribution campaign according to the first action.