The Trade Desk, Inc.

Twilio Inc.

Victor Andres Amin

Christopher Thorne

Mark Davenport

Devin Pullman

James Innocent

Jair Cazarin

Alexandre K W Navarro

Julius Rentergent

Simon Houghton

Scott Kawai

This disclosure is directed to systems and methods for generating a communication associated with or based on optimization data. Generating a communication may include (i) receiving first data associated with a first computing device or a first computing device user; (ii) generating at least two of: verification data, consistency data, and activity data; and (iii) generating optimization data.

Methods and systems for generating communications associated with optimization codes

This disclosure is directed to systems and methods for generating a communication associated with an optimization code. Generating a communication may include generating an optimization code, which may include (i) receiving a first data associated with one or more of a first computing device and a first computing device user; (ii) generating at least two confirmation codes, including one or more of a verification code, a consistency code, and an activity code; and (iii) generating an optimization code which may be based, at least in part, on the at least two confirmation codes.

This disclosure is directed to systems and methods for generating a communication associated with an optimization code. Generating a communication may include generating an optimization code, which may include (i) receiving a first data associated with one or more of a first computing device and a first computing device user; (ii) generating at least two confirmation codes, including one or more of a verification code, a consistency code, and an activity code, which may be associated with a comparative accuracy of the first data, a comparative consistency of the first data, and a comparative activity of the first data, respectively; and (iii) generating an optimization code which may be based, at least in part, on the at least two confirmation code and associated with a relative predictability of the first data.

Methods, systems, and computer programs are presented for validating if an email address is a valid email address. The validation includes a combination of rules-based heuristics (e.g., non-existing domain name) and a validity score calculated by a machine-learning model. The machine-learning model makes predictions based on the training data set that includes historical information about email addresses. The information obtained from the rules and the validity score is combined to determine the probability that the email address is a valid email address.

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Denver, CO, United States of America

Victor Andres Amin