Adobe Inc.
Predicting a number of links an email campaign recipient will open

Abstract:

Techniques for predicting a number of links an email campaign recipient will open are described. Elements in a dataset related to an email campaign are modeled using a tree structure, where nodes of the tree represent features of each element. A mean squared error is computed of an outcome for each of the elements to determine a weight for each respective tree. The weights are then regularized by applying a penalty, such as an elastic net penalty, to each of the weights. Then, the weights are applied to each of the trees. A weighted average of all of the outcomes of the trees is calculated, where the weighted average represents a prediction of an outcome resulting from a set of feature values. The feature values correspond to the nodes of each of the trees.