| Fairness, Accountability and Transparency in Recommender Systems

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Schedule
Thursday, August 31st
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2017
9:00 AM	Towards Minimal Necessary Data: The Case for Analyzing Training Data Requirements of Recommender Algorithms Martha Larson, Radboud University Alessandro Zito, Politecnico di Milano Babak Loni, Delft University of Technology Paolo Cremonesi, Politecnico di Milano Como, Italy 9:00 AM
9:30 AM	On Quantifying Knowledge Segregation in Society Abhijnan Chakraborty, Max Planck Institute for Software Systems Muhammad Ali, Max Planck Institute for Software Systems Saptarshi Ghosh, Indian Institute of Technology Kharagpur Niloy Ganguly, Indian Institute of Technology Kharagpur Krishna P. Gummadi, Max Planck Institute for Software Systems Como, Italy 9:30 AM
10:00 AM	Balanced Neighborhoods for Fairness-Aware Collaborative Recommendation Robin Burke, DePaul University Nasim Sonboli, DePaul University Masoud Mansoury, DePaul University Aldo Ordonez-Gauger, DePaul University Como, Italy 10:00 AM
11:00 AM	Impact of Task Recommendation Systems in Crowdsourcing Platforms Kathrin Borchert, University of Würzburg Matthias Hirth, University of Würzburg Steffen Schnitzer, University of Darmstadt Christoph Rensing, University of Darmstadt Como, Italy 11:00 AM
11:30 AM	The Price of Fairness in Location Based Advertising Christopher Riederer, Columbia University Augustin Chaintreau, Columbia University Como, Italy 11:30 AM
12:00 PM	Fair Sharing for Sharing Economy Platforms Abhijnan Chakraborty, Max Plank Institute for Software Systems Aniko Hannak, Central European University Asia J. Biega, Max Planck Institute for Informatics Saarland Informatics Campus Krishna P. Gummadi, Max Plank Institute for Software Systems Como, Italy 12:00 PM
2:00 PM	Exploring Explanations for Matrix Factorization Recommender Systems Bashir Rastegarpanah, Boston University Mark Crovella, Boston University Krishna P. Gummadi, Max Planck Institute for Software Systems Como, Italy 2:00 PM
2:30 PM	Do News Consumers Want Explanations for Personalized News Rankings? Maartje ter Hoeve, University of Amsterdam Mathieu Heruer, Blendle Daan Odijk, Blendle Anne Schuth, Blendle Martijn Spitters, Blendle Maarten de Rijke, University of Amsterdam Como, Italy 2:30 PM
3:00 PM	Presenting Diversity Aware Recommendations: Making Challenging News Acceptable Nava Tintarev, Delft University of Technology Como, Italy 3:00 PM
4:00 PM	Academic performance prediction in a gender-imbalanced environment Piotr Sapiezynski, Northeastern University Valentin Kassarnig, Graz University of Technology Christo Wilson, Northeastern University Como, Italy 4:00 PM
4:30 PM	Considerations on Recommendation Independence for a Find-Good-Items Task Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology Shotaro Akaho, National Institute of Advanced Industrial Science and Technology Como, Italy 4:30 PM