Abstract: An automated predictive analytics system disclosed herein provides a novel technique for industry classification. Leveraging specific API to construct a database of companies labeled with the industries to which they belong, the automated predictive analytics system trains a deep neural network to predict the industries of novel companies. The automated predictive analytics system examines the capacity of the model to predict six-digit NAICS codes, as well as the ability of the model architecture to adapt to other industry segmentation schemas. Additionally, the automated predictive analytics system investigates the ability of the model to generalize despite the presence of noise in the labels in the training set. Finally, the automated predictive analytics system explores the possibility of increasing predictive precision by thresholding based on the confidence scores that the model outputs along with its predictions.

Abstract: An automated predictive analytics system disclosed herein provides a novel technique for industry classification. Leveraging specific API to construct a database of companies labeled with the industries to which they belong, the automated predictive analytics system trains a deep neural network to predict the industries of novel companies. The automated predictive analytics system examines the capacity of the model to predict six-digit NAICS codes, as well as the ability of the model architecture to adapt to other industry segmentation schemas. Additionally, the automated predictive analytics system investigates the ability of the model to generalize despite the presence of noise in the labels in the training set. Finally, the automated predictive analytics system explores the possibility of increasing predictive precision by thresholding based on the confidence scores that the model outputs along with its predictions.

Abstract: E-mail addresses are converted by a hashing function into hash codes. An e-mail mass mailer that can have millions of addresses hash codes all addresses to which a message might be sent to form a first list. An entity that wishes to exclude delivery of a message to various e-mail addresses, hash codes such addresses to form a second list. Hash codes in the first list that are also in the second list are purged from the first list to yield a third list of hash codes, each of which represents an e-mail address to which a message may be sent.

Abstract: E-mail addresses are converted by a hashing function into hash codes. An e-mail mass mailer that can have millions of addresses hash codes all addresses to which a message might be sent to form a first list. An entity that wishes to exclude delivery of a message to various e-mail addresses, hash codes such addresses to form a second list. Hash codes in the first list that are also in the second list are purged from the first list to yield a third list of hash codes, each of which represents an e-mail address to which a message may be sent.

Abstract: E-mail addresses are converted by a hashing function into hash codes. An e-mail mass mailer that can have millions of addresses hash codes all addresses to which a message might be sent to form a first list. An entity that wishes to exclude delivery of a message to various e-mail addresses, hash codes such addresses to form a second list. Hash codes in the first list that are also in the second list are purged from the first list to yield a third list of hash codes, each of which represents an e-mail address to which a message may be sent.