Predictive Web Analytics Dataset and Challenge

Submitted by ChaTo on Wed, 2014/03/26 - 08:50

A new and exciting dataset is available. It contains the number of visitors, average visit time, "tweets" on Twitter, and "likes" on Facebook, for a set of thousands of web pages. The data is aggregated on windows of 5-minutes, during a period of 48 hours.

We are inviting researchers to participate in a competition: an ECML/PKDD Discovery Challenge that consists on predicting the total activity after 48 hours, by observing only the first hour of life of a web page. This is an important task that has significant practical applications.

https://sites.google.com/site/predictivechallenge2014/

Dataset available courtesy of Chartbeat Inc.

— Carlos Castillo and Josh Schwartz
Predictive Web Analytics Challenge Co-Chairs