Skip to Content
How the Wall Street Journal uses Machine Learning to predict lead conversions
case study

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

by Chris Boyd, John Wiley
June 2019
40m
English
O'Reilly Media, Inc.
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)

Overview

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.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Spot and overcome machine learning bottlenecks: Lessons from Baidu

Spot and overcome machine learning bottlenecks: Lessons from Baidu

Bin Fan, Haojun Wang

Publisher Resources

ISBN: 0636920424024