09:00 - 09:20: Introduction
09:20 - 10:30: Invited speaker: From Arrow’s Impossibility Theorem to Multi-Stakeholder, Multi-task, and More Inclusive Recommendations (Ed Chi)
11:00 - 11:15: Recommender Systems Fairness Evaluation via Generalized Cross Entropy (Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogin Kouki and Tommaso Di Noia)
11:15 - 11:40: Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness (Himan Abdollahpouri and Robin Burke)
11:40 - 12:05: Simple Objectives Work Better (Joaquin Delgado, Samuel Lind, Carl Radecke and Satish Konijeti)
12:05 - 12:20 : BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix (Christopher Strucks, Manel Slokom and Martha Larson)
14:00 - 14:15: Bias Disparity in Recommendation Systems (Virginia Tsintzou, Evaggelia Pitoura and Panayiotis Tsaparas)
14:15 - 14:40: Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison (Masoud Mansoury, Bamshad Mobasher, Robin Burke and Mykola Pechenizkiy)
14:40 - 15:05: Crank up the volume: preference bias amplification in collaborative recommendation (Kun Lin, Nasim Sonboli, Bamshad Mobasher and Robin Burke)
15:05 - 15:30: The Unfairness of Popularity Bias in Recommendation (Himan Abdollahpouri, Masoud Mansoury, Robin Burke and Bamshad Mobasher)
16:00 - 16:15: Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce (Raphael Louca, Moumita Bhattacharya, Diane Hu and Liangjie Hong)
16:15 - 16:40: A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations (Edward Malthouse, Khadija Ali Vakeel, Yasaman Kamyab Hessary, Robin Burke and Morana Fuduric)