Vol-3268
urn:nbn:de:0074-3268-1

Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

MORS 2022
2nd Workshop on Multi-Objective Recommender Systems

Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems
co-located with 16th ACM Conference on Recommender Systems (RecSys 2022)

Seattle, WA, USA, 18th-23rd September 2022.

Edited by

Himan Abdollahpouri *
Shaghayegh Sahebi
Mehdi Elahi *
Masoud Mansoury
Babak Loni *
Zahra Nazari *
Maria Dimakopoulou *

* Spotify, USA
** University at Albany, State University of New York, USA
*** University of Bergen, Norway
**** University of Amsterdam, the Netherlands
***** Meta, the Netherlands

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

2022-09-14: submitted by Babak Loni, metadata incl. bibliographic data published under Creative Commons CC0
2022-11-06: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|

MORS 2022 2nd Workshop on Multi-Objective Recommender Systems

Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022)