US 12,248,966 B2
Method and system for providing electronic marketing communications for a promotion and marketing service
Don Albert Chennavasin, Santa Clara, CA (US); Lawrence Lee Wai, Mountain View, CA (US); Hamish Barney, Chicago, IL (US); Devdatta Gangal, Chicago, IL (US); Daniel Beard, Chicago, IL (US); Valampuri Lakshminarayanan, Chicago, IL (US); and Michael Burton, San Francisco, CA (US)
Assigned to BYTEDANCE INC., Wilmington, DE (US)
Filed by Bytedance Inc., Wilmington, DE (US)
Filed on Jan. 7, 2022, as Appl. No. 17/571,129.
Application 17/571,129 is a continuation of application No. 17/062,209, filed on Oct. 2, 2020, granted, now 11,250,472.
Application 17/062,209 is a continuation of application No. 14/577,320, filed on Dec. 19, 2014, granted, now 10,832,290, issued on Nov. 10, 2020.
Claims priority of provisional application 61/918,576, filed on Dec. 19, 2013.
Prior Publication US 2022/0237659 A1, Jul. 28, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/0251 (2023.01)
CPC G06Q 30/0269 (2013.01) [G06Q 30/0261 (2013.01); G06Q 30/0267 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus comprising at least one processor and at least one memory storing instructions that, with the at least one processor, cause the apparatus to:
generate, based at least in part on a consumer segment associated with a consumer, a threshold promotion score for the consumer;
store, in one or more repositories, the threshold promotion score for the consumer;
adjust the threshold promotion score for the consumer based at least in part on a current time data and current consumer activity data associated with a mobile computing device associated with the consumer;
receive, from the one or more repositories, data inputs associated with the consumer;
transform the data inputs into a multidimensional vector;
input, to a trained machine learning model, the multidimensional vector;
obtain, from the trained machine learning model, a probability value;
generate a plurality of promotion scores by generating, based at least in part on the probability value, a promotion score for each promotion of a plurality of promotions;
store, in the one or more repositories, the plurality of promotion scores;
compare the threshold promotion score with the plurality of promotion scores;
responsive to determining that a selected promotion of the plurality of promotions is associated with a respective promotion score that exceeds the threshold promotion score, generate an electronic marketing communication comprising the selected promotion, the electronic marketing communication configured to be rendered via a display device of the mobile computing device; and
responsive to determining that the current time data is within a specified time period, transmit, via a network and to the mobile computing device, the electronic marketing communication.