RMSE 2019
Workshop on Recommendation in Multi-stakeholder Environments

Table of Contents

Session 1: Welcome and Introduction

• RMSE: Workshop on Recommendation in Multi-stakeholder Environments
  Robin Burke, Himan Abdollahpouri, Edward Malthouse, KP Thai, Yongfeng Zhang

Session 2: Fairness

• Recommender Systems Fairness Evaluation via Generalized Cross Entropy
  Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogin Kouki, Tommaso Di Noia
• Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness
  Himan Abdollahpouri, Robin Burke
• BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix
  Christopher Strucks, Manel Slokom, Martha Larson

Session 3: Calibration and Bias Disparity

• Bias Disparity in Recommendation Systems
  Virginia Tsintzou, Evaggelia Pitoura, Panayiotis Tsaparas
• Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison
  Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
• Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation
  Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
• The Unfairness of Popularity Bias in Recommendation
  Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher

Session 4: Multi-stakeholder Recommendation

• Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce
  Raphael Louca, Moumita Bhattacharya, Diane Hu, Liangjie Hong
• A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations
  Edward Malthouse, Khadija Ali Vakeel, Yasaman Kamyab Hessary, Robin Burke, Morana Fuduric
• Simple Objectives Work Better
  Joaquin Delgado, Samuel Lind, Carl Radecke, Satish Konijeti