Program
Welcome & Panel (15:00 – 15:45, CEST (GMT+2))
15 mins - discussion & short break
Please note that all the long papers have 10 minutes for presentation and 5 minutes for Q&A. Short papers have 5 minutes for presentation and 2 minutes for Q&A.
Session 1 (16:00 – 16:45, CEST (GMT+2))
- Recommendation Fairness: From Static to Dynamic (long)
- Dell Zhang and Jun Wang
- article
- Estimating and Penalizing Preference Shifts in Recommender Systems (long)
- Micah Carroll, Dylan Hadfield-Menell, Stuart Russell and Anca Dragan
- article
- User Tampering in Reinforcement Learning Recommender Systems(long)
- Charles Evans and Atoosa Kasirzadeh
- article
30 mins - discussion & long break
Session 2 (17:15 – 18:00, CEST (GMT+2))
- The Stereotyping Problem in Collaboratively Filtered Recommender Systems (long)
- Wenshuo Guo, Karl Krauth, Michael Jordan and Nikhil Garg
- article
- Searching for Representation: A sociotechnical audit of googling for members of U.S. Congress (long)
- Emma Lurie and Deirdre Mulligan
- article
- Fairness via AI: Bias Reduction in Medical Information (long)
- Shiri Dori-Hacohen, Roberto Montenegro, Fabricio Murai, Scott Hale, Keen Sung, Michela Blaine and Jennifer Edwards-Johnson
- article
15 mins - discussion & short break
Session 3 (18:15 – 19:00, CEST (GMT+2))
- Recommender Systems in the EU: from Responsibility to Regulation? (long)
- Sebastian Schwemer
- article
- Tag-boosted Explainable Matrix Factorization Methods for Multi-style Explanations (short)
- Olurotimi Seton, Pegah Sagheb Haghighi, Mohammed Alshammari and Olfa Nasraoui
- article
- FaiREO: User Group Fairness in Course Recommendation (short)
- Agoritsa Polyzou, Maria Kalantzi and George Karypis
- article
- An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System (short)
- Ajay Gangwar and Shweta Jain
- article
- Data Optimization for a Deep Learning Recommender System (short)
- Martin Tegner, Gustav Hertz, Sandhya Sachidanandan, Balazs Toth and Emil Jorgensen
- article