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MORS@RecSys
2022
2022
2022
Keyphrases
Publications
2022
Vito Walter Anelli
,
Yashar Deldjoo
,
Tommaso Di Noia
,
Eugenio Di Sciascio
,
Antonio Ferrara
,
Daniele Malitesta
,
Claudio Pomo
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering.
MORS@RecSys
(2022)
Dietmar Jannach
Multi-Objective Recommendation: Overview and Challenges.
MORS@RecSys
(2022)
Chunpai Wang
,
Shaghayegh Sahebi
,
Peter Brusilovsky
Proximity-Based Educational Recommendations: A Multi-Objective Framework.
MORS@RecSys
(2022)
Mounir Hafsa
,
Pamela Wattebled
,
Julie Jacques
,
Laetitia Jourdan
A Multi-Objective E-learning Recommender System at Mandarine Academy.
MORS@RecSys
(2022)
Yiding Ran
,
Hengchang Hu
,
Min-Yen Kan
PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation.
MORS@RecSys
(2022)
Tahereh Arabghalizi
,
Alexandros Labrinidis
A Ranked Bandit Approach for Multi-stakeholder Recommender Systems.
MORS@RecSys
(2022)
Renata Pelissari
,
Paulos S. C. Alencar
,
Sarah Ben Amor
,
Leonardo Tomazeli Duarte
A Systematic Review of the Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: Preliminary Results.
MORS@RecSys
(2022)
Oleg Lesota
,
Stefan Brandl
,
Matthias Wenzel
,
Alessandro B. Melchiorre
,
Elisabeth Lex
,
Navid Rekabsaz
,
Markus Schedl
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization.
MORS@RecSys
(2022)
Preface.
MORS@RecSys
(2022)
Peter Knees
,
Andres Ferraro
,
Moritz Hubler
Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact.
MORS@RecSys
(2022)
Yan Zhao
,
Mitchell Goodman
,
Sameer Kanase
,
Shenghe Xu
,
Yannick Kimmel
,
Brent Payne
,
Saad Khan
,
Patricia Grao
Mitigating Targeting Bias in Content Recommendation with Causal Bandits.
MORS@RecSys
(2022)
Sinan Seymen
,
Anna-Lena Sachs
,
Edward C. Malthouse
Making Smart Recommendations for Perishable and Stockout Products.
MORS@RecSys
(2022)
volume 3268, 2022
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.
MORS@RecSys
3268 (2022)
2021
Sinan Seymen
,
Himan Abdollahpouri
,
Edward C. Malthouse
A Unified Optimization Toolbox for Solving Popularity Bias, Fairness, and Diversity in Recommender Systems.
MORS@RecSys
(2021)
Himan Abdollahpouri
,
Mehdi Elahi
,
Masoud Mansoury
,
Shaghayegh Sahebi
,
Zahra Nazari
,
Allison Chaney
,
Babak Loni
MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems.
MORS@RecSys
(2021)
Dmitri Goldenberg
,
Javier Albert
,
Guy Tsype
Optimization Levers for Promotions Personalization Under Limited Budget.
MORS@RecSys
(2021)
Alain Starke
,
Christoph Trattner
,
Hedda Bakken
,
Martin Johannessen
,
Vegard Solberg
The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric.
MORS@RecSys
(2021)
Sasha Stoikov
,
Hongyi Wen
Evaluating Music Recommendations with Binary Feedback for Multiple Stakeholders.
MORS@RecSys
(2021)
Tiago Cunha
,
Ioannis Partalas
,
Phong Nguyen
Juggler: Multi-Stakeholder Ranking with Meta-Learning.
MORS@RecSys
(2021)
Blagoj Mitrevski
,
Milena Filipovic
,
Emma Lejal Glaude
,
Boi Faltings
,
Claudiu Musat
Momentum-based Gradient Methods in Multi-Objective Recommendation.
MORS@RecSys
(2021)
Arnault Pachot
,
Adelaide Albouy-Kissi
,
Benjamin Albouy-Kissi
,
Frédéric Chausse
Multiobjective Recommendation for Sustainable Production Systems.
MORS@RecSys
(2021)
volume 2959, 2021
Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, September 25, 2021.
MORS@RecSys
2959 (2021)