Inside the Washington Post’s popularity prediction experiment
A peek into the clickstream analysis and production pipeline for processing tens of millions of daily clicks, for thousands of articles.
Shuguang Wang
Shuguang Wang is a senior data scientist at the Washington Post. He enjoys the process of making sense of large amounts of data and is very skilled in various machine learning and data-mining tools. At the Washington Post, Shuguang has successfully built several predictive models to tackle business challenges. Previously, he was a software development engineer at Amazon Web Services. Shuguang holds an Msc in computer science from the University of Pittsburgh.