Predicting a number of links an email campaign recipient will open
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United States of America Patent
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May 4, 2021
Grant Date -
Feb 1, 2018
app pub date -
Aug 1, 2016
filing date -
Aug 1, 2016
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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.
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