MORS 2022
2nd Workshop on Multi-Objective Recommender Systems

Table of Contents

Session 1

• MORS 2022 - 2nd Workshop on Multi-Objective Recommender Systems (Workshop Summary)
  Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni Zahra Nazari, Maria Dimakopoulou
• Multi-Objective Recommendation: Overview and Challenges (Keynote)
  Dietmar Jannach
• Making Smart Recommendations for Perishable and Stockout Products (long)
  Sinan Seymen, Anna-Lena Sachs, Edward C. Malthouse
• PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation (short)
  Yiding Ran, Hengchang Hu, Min-Yen Kan

Session 2

• Proximity-Based Educational Recommendations: A Multi-Objective Framework (long)
  Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky
• Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization (short)
  Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
• Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact (short)
  Peter Knees, Andres Ferraro, Moritz Hubler
• How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering (short)
  Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo

Session 3 (Poster Session)

• A Ranked Bandit Approach for Multi-stakeholder Recommender Systems (poster)
  Tahereh Arabghalizi, Alexandros Labrinidis
• A Multi-Objective E-learning Recommender System at Mandarine Academy (poster)
  Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan
• A Systematic Review of the Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: Preliminary Results (poster)
  Renata Pelissari, Paulos S.C. Alencar, Sarah Ben Amor, Leonardo Tomazeli Duarte
• Mitigating Targeting Bias in Content Recommendation with Causal Bandits (poster)
  Yan Zhao, Mitchell Goodman, Sameer Kanase, Shenghe Xu, Yannick Kimmel, Brent Payne, Saad Khan, Patricia Grao