How the Wall Street Journal uses Machine Learning to predict lead conversions

Chris Boyd and John Wiley explain how the Wall Street Journal uses machine learning and a proprietary algorithm to predict the likelihood for someone subscribing, which in turn dictates the paywall experience that customer receives.

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Boyd, Chris (VerfasserIn)
Weitere Verfasser: Wiley, John
Format: Online
Sprache:eng
Veröffentlicht: Erscheinungsort nicht ermittelbar O'Reilly Media, Inc. 2019
Sebastopol, CA O'Reilly Media Inc.
Ausgabe:1st edition
Schlagworte:
Online Zugang:https://learning.oreilly.com/library/view/-/0636920424024/?ar
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Chris Boyd and John Wiley explain how the Wall Street Journal uses machine learning and a proprietary algorithm to predict the likelihood for someone subscribing, which in turn dictates the paywall experience that customer receives.
Beschreibung:1 Online-Ressource (1 video file, approximately 40 min.)