| 2022 | Multi-Objective Recommendation: Overview and Challenges. | Dietmar Jannach |
| 2022 | TorchRec: a PyTorch Domain Library for Recommendation Systems. | Dmytro Ivchenko, Dennis Van Der Staay, Colin Taylor, Xing Liu, Will Feng, Rahul Kindi, Anirudh Sudarshan, Shahin Sefati |
| 2022 | Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively. | Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara |
| 2022 | Building and Deploying a Multi-Stage Recommender System with Merlin. | Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira |
| 2022 | Bundle MCR: Towards Conversational Bundle Recommendation. | Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley |
| 2022 | Learning Choice Models for Simulating Users' Interactions with Recommender Systems. | Naieme Hazrati, Francesco Ricci |
| 2022 | Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding. | Jan Hartman, Davorin Kopic |
| 2022 | Taxonomic Recommendations of Real Estate Properties with Textual Attribute Information. | Zachary Harrison, Anish Khazane |
| 2022 | Evaluation Framework for Cold-Start Techniques in Large-Scale Production Settings. | Moran Haham |
| 2022 | A Multi-Objective E-learning Recommender System at Mandarine Academy. | Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan |
| 2022 | What if Interactive Explanation in a Scientific Literature Recommender System. | Mouadh Guesmi, Mohamed Amine Chatti, Jaleh Ghorbani-Bavani, Shoeb Ahmed Joarder, Qurat Ul Ain, Rawaa Alatrash |
| 2022 | Translating the Public Service Media Remit into Metrics and Algorithms. | Andreas Grn, Xenija Neufeld |
| 2022 | Multiobjective Evaluation of Reinforcement Learning Based Recommender Systems. | Alexey Grishanov, Anastasia Ianina, Konstantin V. Vorontsov |
| 2022 | Scientific Challenges, Practical Methodologies and Policy Perspectives for Trustworthy Artificial Intelligence. | Emilia Gmez |
| 2022 | Personalizing Benefits Allocation Without Spending Money: Utilizing Uplift Modeling in a Budget Constrained Setup. | Dmitri Goldenberg, Javier Albert |
| 2022 | The Impacts of Primacy/Recency Effects on Item Review Sentiment Analysis. | Besnik Gjergjizi, Thi Ngoc Trang Tran, Alexander Felfernig |
| 2022 | Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). | Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang |
| 2022 | A User-Centered Investigation of Personal Music Tours. | Giovanni Gabbolini, Derek G. Bridge |
| 2022 | Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship. | Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born |
| 2022 | A Neighbourhood-based Location- and Time-aware Recommender System. | Len Feremans, Robin Verachtert, Bart Goethals |
| 2022 | Enhancing Counterfactual Evaluation and Learning for Recommendation Systems. | Nicol Felicioni |
| 2022 | Optimizing product recommendations for millions of merchants. | Kim Falk, Chen Karako |
| 2022 | Next-Generation Intelligent Assistants for AR/VR Devices. | Xin Luna Dong |
| 2022 | Long-term fairness for Group Recommender Systems with Large Groups. | Patrik Dokoupil |
| 2022 | Co-designing ML Models with Data Activists. | Catherine D'Ignazio |