About

The RecSys Challenge 2021 will be organized by Politecnico di Bari, ETH Zürich, Jönköping University, and the data set will be provided by Twitter. The challenge focuses on a real-world task of tweet engagement prediction in a dynamic environment. For 2021, the challenge considers four different engagement types: Likes, Retweet, Quote, and replies.

This year's challenge brings the problem even closer to Twitter's real recommender systems by introducing latency constraints. We will also increase the data size to encourage novel methods. Also, the data density will be increased in terms of the graph where users are considered to be nodes and interactions as edges.

The goal is twofold: to predict the probability of different engagement types of a target user for a set of tweets based on heterogeneous input data while providing fair recommendations. We are conscious that multi-goal optimization considering accuracy and fairness will be particularly challenging. However, we believe that the recommendation community is nowadays mature enough to face the challenge of providing accurate and, at the same time, fair recommendations.

Participation and Data

Twitter will make available a public dataset of close to 1 billion data points, >40 million each day over 28 days. Week 1 - 3 will be used for training and week 4 for evaluation and testing. Each datapoint contains the tweet along with engagement features, user features, and tweet features.

If you are experiencing any issues, please notify the organizers.

Participation for this challenge is subject to your acceptance of these Terms & Conditions , and your successful completion of the steps required within, including the registration and approval process with the Twitter Developer Program

The Terms & Conditions already require that all submissions are accompanied by reproducible code, so that we can inspect winning solutions in detail: “Your Submission must include the source code and any related information used to derive the results contained in your Submission. The source code must be released under an open-source license (Apache 2.0). A third party should be able to use your submitted source to regenerate your results.” Furthermore, we explicitly state in our rules that NO de-anonymization or access to data from Twitter users and user behavior from the Twitter API other than that in the challenge dataset is allowed. Enriching the data with other data sources remains possible.

If any of the rules mentioned in the Terms & Conditions (and explained further above) are broken and thus discovered by the organizers in the code submission, the participant(s) that the submission belongs to will be disqualified from the competition. As mentioned in the Terms and Conditions: “Organizers reserve the right, in their sole discretion, to disqualify any participant who makes a Submission that does not meet the Requirements or is in violation of these Terms.”

Paper Submission Guidelines ^top

Submission website: EasyChair Now Active!

• All participants of the challenge are invited to submit if they consider their submission particularly effective, novel, otherwise interesting, or exploiting identified particularities of the data.
• Note: paper submission is mandatory if you want to be eligible for a prize. Accepted papers are given an oral and a poster presentation slot at the workshop. At least one author of each accepted paper must attend the workshop and present their work. Please note that a badly written paper or absence of presence at workshop, may prevent you from being eligible for the prize. Please contact the workshop organization if none of the authors will be able to attend the workshop.
• Page limit: 7 pages + references (ACM SIG Format) Note: This is in reference to the latest single-column ACM template.
• Anonymization of submissions is not required; please include your team name in abstract and text, as well as a link to your code repository, the achieved score, and a reference to the RecSys Challenge Website (http://www.recsyschallenge.com/2021/). Note: This will be replaced with a reference to an overview paper in the RecSys proceedings for the camera-ready version.
• The submitted papers will be evaluated based on novelty, clarity, and presented empirical results.
• Each paper will be reviewed by at least three PC members.
• Our proceedings will be published in the ACM Digital Library within its International Conference Proceedings Series.
• Accepted papers must be presented in the RecSys Challenge Workshop (either as an oral presentation or poster).

Workshop Program and Accepted Papers

Program Committee ^top

• Nazareno Andrade, Universidade Federal de Campina Grande
• Vito Walter Anelli, Politecnico di Bari
• Luca Belli, Twitter Cortex
• Alejandro Bellogin, Universidad Autonoma de Madrid
• Ludovico Boratto, University of Cagliari
• Yashar Deldjoo, Polytechnic University of Bari
• Tommaso Di Noia, Politecnico di Bari
• Linus W. Dietz, Technical University of Munich
• Mehdi Elahi, University of Bergen
• Bruce Ferwenda, Jönköping University
• Dietmar Jannach, University of Klagenfurt
• Saikishore Kalloori, ETH Zurich
• Peter Knees, Vienna University of Technology
• Julia Neidhardt, Vienna University of Technology
• Frank Portman, Twitter
• Francesco Ricci, Free University of Bozen-Bolzano
• Wenzhe Shi, Twitter
• Gabriele Sottocornola, Libera Università di Bozen-Bolzano
• Fabio Stella, Dipartimento di Informatica, Sistemistica e Comunicazione, Universita' degli Studi di Milano-Bicocca, Milano, IT.
• Alykhan Tejani, Twitter
• Marko Tkalcic, University of Primorska
• Markus Zanker, Free University of Bozen-Bolzano

Academic Organizers ^top

• Walter Anelli, Politecnico di Bari, Italy
• Saikishore Kalloori, ETH Zürich, Switzerland
• Bruce Ferwerda, Jönköping University, Sweden

RecSys Industry Mentors ^top

• Luca Belli, Twitter
• Michael Bronstein, Twitter
• Alexandre Lung-Yut-Fong, Twitter
• Ben Chamberlain, Twitter
• Frank Portman, Twitter
• Alykhan Tejani, Twitter
• Yuanpu Xie, Twitter
• Jj Hunt, Twitter
• Wenzhe Shi, Twitter

Advisors ^top

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