Flavio Figueiredo wins 1st place in two out of the three tasks of the ECML/PKDD Predictive Analytics Challenge
Flavio was a visiting scholar with the database group at SCS during 2014-15. The challenge was to predict the popularity of a web page time series using 1h of data. Popularity was measured in the number of visits, Facebook likes and mentions the page receives on Twitter. The target time for predictions was 48h. Thus, given 1h worth of activity, the task was to predict the popularity (= amount of activity) of a page, for the next 48 hours. Flavio’s entry was the best for the number of visits and Facebook likes, among 7 competitors. Congratulations, Flavio!