| 2021 | Scaling TensorFlow to 300 million predictions per second. | Jan Hartman, Davorin Kopic |
| 2021 | Improving Media Content Recommendation with Automatic Annotations (Long paper). | Ismail Harrando, Raphal Troncy |
| 2021 | How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption? (short paper). | Felix Hamborg, Timo Spinde, Kim Heinser, Karsten Donnay, Bela Gipp |
| 2021 | Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details. | Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Shoeb Ahmed Joarder, Qurat Ul Ain, Thao Ngo, Shadi Zumor, Yiqi Sun, Fangzheng Ji, Arham Muslim |
| 2021 | Challenges Experienced in Public Service Media Recommendation Systems. | Andreas Grn, Xenija Neufeld |
| 2021 | Recommendations at Videoland. | Mateo Gutierrez Granada, Daan Odijk |
| 2021 | Evaluating Recommender Systems with and for Children: towards a Multi-Perspective Framework. | Emilia Gmez, Vicky Charisi, Stphane Chaudron |
| 2021 | Optimization Levers for Promotions Personalization Under Limited Budget. | Dmitri Goldenberg, Javier Albert, Guy Tsype |
| 2021 | Drug Discovery as a Recommendation Problem: Challenges and Complexities in Biological Decisions. | Anna Gogleva, Eliseo Papa, Erik Jansson, Greet De Baets |
| 2021 | Scaling Enterprise Recommender Systems for Decentralization. | Maurits van der Goes |
| 2021 | Addressing the cold-start problem with a two-branch architecture for fair tweet recommendation. | Pere Gilabert, Santi Segu |
| 2021 | How does the User's Knowledge of the Recommender Influence their Behavior? | Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher |
| 2021 | Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method. | Fatih Gedikli, Anne Stockem Novo, Dietmar Jannach |
| 2021 | Play It Again, Sam! Recommending Familiar Music in Fresh Ways. | Giovanni Gabbolini, Derek Bridge |
| 2021 | Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. | Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat |
| 2021 | AIR: Personalized Product Recommender System for Nike's Digital Transformation. | Steven Essinger, Dave Huber, Daniel Tang |
| 2021 | FAccTRec 2021: The 4th Workshop on Responsible Recommendation. | Michael D. Ekstrand, Pierre-Nicolas Schwab, Toshihiro Kamishima, Nasim Sonboli |
| 2021 | SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research. | Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom |
| 2021 | FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research. | Simen Eide, David S. Leslie, Arnoldo Frigessi, Joakim Rishaug, Helge Jenssen, Sofie Verrewaere |
| 2021 | Reviews Are Gold!? On the Link between Item Reviews and Item Preferences (Long paper). | Tobias Eichinger |
| 2021 | Online Learning for Recommendations at Grubhub. | Alex Egg |
| 2021 | The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending. | Tim Donkers, Jrgen Ziegler |
| 2021 | LiGAN: Recommending Artificial Fillers for Police Photo Lineups (Short paper). | Patrik Dokoupil, Ladislav Peska |
| 2021 | Enhancing Gazetteers for Named Entity Recognition in Conversational Recommender Systems (Long paper). | Nicholas Dingwall, Vianne R. Gao |
| 2021 | On Evaluating Session-Based Recommendation with Implicit Feedback. | Fernando Diaz |