Systems and methods for email response prediction

摘要

Techniques for predicting a user response to the e-mail content are described. According to various embodiments, member email interaction data associated with a particular member and email content data describing a particular email content item is accessed. The data is then encoded into one or more feature vectors and assembled to thereby generate an assembled feature vector. Thereafter, a prediction modeling process is performed, based on the assembled feature vector and a trained prediction model, to predict a likelihood of the particular member performing a particular user action on the particular email content item.

主权项

1. A computer-implemented method comprising:
accessing, via one or more data sources, data including email content data describing a particular email content item and member email interaction data describing a particular member's interactions with various email content; encoding the data accessed from the external data sources into one or more feature vectors, and assembling the one or more feature vectors to thereby generate an assembled feature vector; and performing prediction modeling, by a machine including a memory and at least one processor, based on the assembled feature vector and a trained prediction model, to predict a likelihood of the particular member performing a particular user action on the particular email content item.