US 12,282,941 B2
Email subject line generation method
Ming Chen, Bedford, MA (US); Long Sha, Somerville, MA (US); and Zhong Chen, Acton, MA (US)
Assigned to CONSTANT CONTACT, INC., Waltham, MA (US)
Filed by Constant Contact, Inc., Waltham, MA (US)
Filed on Jun. 30, 2022, as Appl. No. 17/855,625.
Prior Publication US 2024/0005365 A1, Jan. 4, 2024
Int. Cl. G06Q 30/0241 (2023.01); G06F 40/166 (2020.01); G06F 40/295 (2020.01); G06V 30/10 (2022.01)
CPC G06Q 30/0277 (2013.01) [G06F 40/166 (2020.01); G06F 40/295 (2020.01); G06V 30/10 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A computer based method for an electronic marketing campaign from a customer to a contact, comprising the steps of:
receiving a campaign comprising an email message body;
receiving a historic profile of a previous campaign by the customer, comprising emails sent to the contact;
preprocessing the email message body based upon the campaign and the historic profile to produce campaign training data;
training a neural network learning model with the campaign training data and a hyperparameter tuning module that selects at least one of the group consisting of an appropriate network layer size, depth, learning rate, and an optimization function;
receiving a subject line recommendation inference from the neural network; and performing named entity recognition on the subject line recommendation to seek entity titles and terms that may be specific or unique to the customer and ensure that extracted text correctly reflects and expresses the terms in the content of the subject line recommendation,
wherein the email message body comprises text and image data.