Predicting which stories will become popular is an invaluable tool for newsrooms. Eui-Hong Han and Shuguang Wang explain how the Washington Post predicts what stories on its site will be popular with readers and share the challenges they faced in developing the tool and metrics on how they refined the tool to increase accuracy.
- Title: How the Washington Post uses machine learning to predict article popularity
- Release date: May 2017
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920457190
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