US Patent Issued to Zeta Global on Jan. 13 for "Machine learning model and encoder to predict online user journeys" (Georgia Inventors)

ALEXANDRIA, Va., Jan. 13 -- United States Patent no. 12,524,481, issued on Jan. 13, was assigned to Zeta Global Corp. (New York).

"Machine learning model and encoder to predict online user journeys" was invented by Danny Portman (Atlanta) and Zachary D. Jones (Atlanta).

According to the abstract* released by the U.S. Patent & Trademark Office: "The subject technology identifies a series of journey event types in an online user journey, the event types including an impression event, an email event, a click event, and a website visit, and assigns an encoder to each event type. Using an assigned encoder, the technology encodes each event type to generate an encoded vector for each event type. The encoded vector is representative of at least ...