| 2024 | 12th International Workshop on News Recommendation and Analytics (INRA'24). | Benjamin Kille, Andreas Lommatzsch, Clina Treuillier, Vandana Yadav, zlem zgbek |
| 2024 | Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. | Nikhil Khani, Li Wei, Aniruddh Nath, Shawn Andrews, Shuo Yang, Yang Liu, Pendo Abbo, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi |
| 2024 | Embedding based retrieval for long tail search queries in ecommerce. | Akshay Kekuda, Yuyang Zhang, Arun Udayashankar |
| 2024 | Understanding Fairness in Recommender Systems: A Healthcare Perspective. | Veronica Kecki, Alan Said |
| 2024 | Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems. | Zheng Ju, Honghui Du, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor |
| 2024 | Sliding Window Training - Utilizing Historical Recommender Systems Data for Foundation Models. | Swanand Joshi, Yesu Feng, Ko-Jen Hsiao, Zhe Zhang, Sudarshan Lamkhede |
| 2024 | MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. | Yuezihan Jiang, Changyu Li, Gaode Chen, Peiyi Li, Qi Zhang, Jingjian Lin, Peng Jiang, Fei Sun, Wentao Zhang |
| 2024 | Prompt Tuning for Item Cold-start Recommendation. | Yuezihan Jiang, Gaode Chen, Wenhan Zhang, Jingchi Wang, Yinjie Jiang, Qi Zhang, Jingjian Lin, Peng Jiang, Kaigui Bian |
| 2024 | Δ-OPE: Off-Policy Estimation with Pairs of Policies. | Olivier Jeunen, Aleksei Ustimenko |
| 2024 | CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. | Olivier Jeunen, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang |
| 2024 | Multi-Objective Recommendation via Multivariate Policy Learning. | Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko |
| 2024 | Powerful A/B-Testing Metrics and Where to Find Them. | Olivier Jeunen, Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko |
| 2024 | Bridging Viewpoints in News with Recommender Systems. | Jia Hua Jeng |
| 2024 | Evaluation and simplification of text difficulty using LLMs in the context of recommending texts in French to facilitate language learning. | Henri Jamet, Maxime Manderlier, Yash Raj Shrestha, Michalis Vlachos |
| 2024 | Harnessing Temporal Dynamics and Content: An Ensemble of Gradient Boosting Machines for News Recommendation. | Tomomu Iwai, Akihiro Tomita, Tomoyuki Arai, Hiroki Ogawa, Takuma Saito |
| 2024 | Reproducibility and Analysis of Scientific Dataset Recommendation Methods. | Ornella Irrera, Matteo Lissandrini, Daniele Dell'Aglio, Gianmaria Silvello |
| 2024 | Utilizing Non-click Samples via Semi-supervised Learning for Conversion Rate Prediction. | Jiahui Huang, Lan Zhang, Junhao Wang, Shanyang Jiang, Dongbo Huang, Cheng Ding, Lan Xu |
| 2024 | Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training. | Yi-Ping Hsu, Po-Wei Wang, Chantat Eksombatchai, Jiajing Xu |
| 2024 | "More to Read" at the Los Angeles Times: Solving a Cold Start Problem with LLMs to Improve Story Discovery. | Franklin Horn, Aurelia Alston, Won J. You |
| 2024 | Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge. | Lucien Heitz, Sanne Vrijenhoek, Oana Inel |
| 2024 | Informfully - Research Platform for Reproducible User Studies. | Lucien Heitz, Julian Andrea Croci, Madhav Sachdeva, Abraham Bernstein |
| 2024 | The 6th International Workshop on Health Recommender Systems. | Hanna Hauptmann, Christoph Trattner, Helma Torkamaan |
| 2024 | AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations. | Jan Hartman, Hitesh Sagtani, Julie Tibshirani, Rishabh Mehrotra |
| 2024 | Information-Controllable Graph Contrastive Learning for Recommendation. | Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua |
| 2024 | RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems. | Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri |