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ORCIDRMSE@RecSys 2019: Copenhagen, Denmark
- Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang:
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 20, 2019. CEUR Workshop Proceedings 2440, CEUR-WS.org 2019
Session 1: Welcome and Introduction
- Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang:
RMSE: Workshop on Recommendation in Multi-stakeholder Environments.
Session 2: Fairness
- Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín Kouki, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. - Himan Abdollahpouri, Robin Burke:
Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. - Christopher Strucks, Manel Slokom, Martha A. Larson:
BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix.
Session 3: Calibration and Bias Disparity
- Virginia Tsintzou, Evaggelia Pitoura, Panayiotis Tsaparas
:
Bias Disparity in Recommendation Systems. - Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy:
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. - Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke:
Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation. - Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher:
The Unfairness of Popularity Bias in Recommendation.
Session 4: Multi-stakeholder Recommendation
- Raphael Louca, Moumita Bhattacharya, Diane Hu, Liangjie Hong:
Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. - Edward C. Malthouse, Khadija Ali Vakeel, Yasaman Kamyab Hessary, Robin Burke, Morana Fuduric:
A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations. - Joaquin Delgado, Samuel Lind, Carl Radecke, Satish Konijeti:
Simple Objectives Work Better.
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