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

• Nazareno Andrade, Universidade Federal de Campina Grande, Brazil
• Walter Anelli, Politecnico di Bari, Italy
• Amra Delic, TU Wien, Austria & University of Sarajevo, Bosnia and Herzegovina
• Jessie Smith, University of Colorado, Boulder
• Gabriele Sottocornola, Free University of Bozen-Bolzano, Italy

Sponsor Mentors

• Luca Belli, Twitter
• Michael Bronstein, Twitter
• Alexandre Lung-Yut-Fong, Twitter
• Sofia Ira Ktena, Twitter
• Frank Portman, Twitter
• Wenzhe Shi, Twitter
• Alykhan Tejani, Twitter
• Yuanpu Xie, Twitter
• Xiao Zhu, Twitter

Advisors

• Yashar Deldjoo, Polytechnic University of Bari, Italy
• Peter Knees, TU Wien, Austria