The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 24, 2022
Filed:
May. 18, 2020
Adobe Inc., San Jose, CA (US);
Xinyue Liu, San Jose, CA (US);
Suofei Wu, San Jose, CA (US);
Chang Liu, Piscataway, NJ (US);
Jun He, San Jose, CA (US);
Zhenyu Yan, San Jose, CA (US);
Wuyang Dai, Santa Clara, CA (US);
Shengyun Peng, San Jose, CA (US);
Adobe Inc., San Jose, CA (US);
Abstract
Introduced here are approaches for identifying the optimal send time for messages by accounting for hidden confounders, such as the content of those messages, delivery channel, etc. These approaches use a causal inference framework to discover and then remove the impact of hidden confounders. These approaches may be employed by a marketing and analytics platform (or simply 'marketing platform') that may be used to design, implement, or review digital marketing campaigns. The marketing platform can consider the send time as a treatment and then employ machine learning (ML) models that consider the send time, features of the recipient, and hidden confounders to produce a ranked series of send times with the effect of the hidden confounders marginalized. Approaches to performing offline evaluations that mimic A/B tests using data related to existing field experiments are also introduced here.