RecSys Challenge 2020

The RecSys Challenge 2020 will be organized by Politecnico di Bari, Free University of Bozen-Bolzano, TU Wien, University of Colorado, Boulder, and Universidade Federal de Campina Grande, and sponsored by Twitter. The challenge focuses on a real-world task of tweet engagement prediction in a dynamic environment. The goal is to predict the probability for different types of engagement (Like, Reply, Retweet and Retweet with comment) of a target user for a set of tweets, based on heterogeneous input data. To this end, Twitter will release a large public dataset of ~200M public tweets, obtained by subsampling within ~2 weeks, that contains engagement features, user features, and tweet features.

A strong point of this challenge are the recent regulations on data protection and privacy. The challenge data set will be compliant: if a user deletes a Tweet, or their data from Twitter, the dataset will be promptly updated. Therefore, for every change in the dataset, the evaluation of the submissions will be re-done, and the leaderboard will be updated with the re-calculated metrics.

A detailed description of the challenge is available on the website of the RecSys Challenge 2020.
Accepted contributions will be presented during the RecSys Challenge 2020 Workshop.

Academic Organizers
Sponsor Mentors
Advisors