| 2023 | Incentivizing Exploration in Linear Contextual Bandits under Information Gap. | Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang |
| 2023 | A Simple and Robust Ensemble For Click-Through Rate Prediction. | Xingmei Wang, Yankai Wang, Defu Lian |
| 2023 | Data-free Knowledge Distillation for Reusing Recommendation Models. | Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang |
| 2023 | Gradient Matching for Categorical Data Distillation in CTR Prediction. | Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang |
| 2023 | Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model. | Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang |
| 2023 | Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. | Yueqi Wang, Yoni Halpern, Shuo Chang, Jingchen Feng, Elaine Ya Le, Longfei Li, Xujian Liang, Min-Cheng Huang, Shane Li, Alex Beutel, Yaping Zhang, Shuchao Bi |
| 2023 | NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems. | Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero |
| 2023 | ORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling. | Joo Vinagre, Marie Al-Ghossein, Ladislav Peska, Alpio Mrio Jorge, Albert Bifet |
| 2023 | Stability of Explainable Recommendation. | Sairamvinay Vijayaraghavan, Prasant Mohapatra |
| 2023 | Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit. | Tobias Vente, Michael D. Ekstrand, Joeran Beel |
| 2023 | Advancing Automation of Design Decisions in Recommender System Pipelines. | Tobias Vente |
| 2023 | Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders. | Bjrnar Vassy, Helge Langseth, Benjamin Kille |
| 2023 | Localify.org: Locally-focus Music Artist and Event Recommendation. | Douglas Turnbull, April Trainor, Douglas R. Turnbull, Elizabeth Richards, Kieran Bentley, Victoria Conrad, Paul Gagliano, Cassandra Raineault, Thorsten Joachims |
| 2023 | Unveiling Challenging Cases in Text-based Recommender Systems. | Ghazaleh Haratinezhad Torbati, Anna Tigunova, Gerhard Weikum |
| 2023 | Navigating the Feedback Loop in Recommender Systems: Insights and Strategies from Industry Practice. | Ding Tong, Qifeng Qiao, Ting-Po Lee, James McInerney, Justin Basilico |
| 2023 | Re2Dan: Retrieval of Medical Documents for e-Health in Danish. | Antonela Tommasel, Rafael Pablos-Sarabia, Ira Assent |
| 2023 | Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets. | Yoji Tomita, Riku Togashi, Yuriko Hashizume, Naoto Ohsaka |
| 2023 | Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning. | Xuewen Tao, Mingming Ha, Qiongxu Ma, Hongwei Cheng, Wenfang Lin, Xiaobo Guo, Linxun Chen, Bing Han |
| 2023 | International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. | Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao |
| 2023 | When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation. | Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen |
| 2023 | Reward innovation for long-term member satisfaction. | Gary Tang, Jiangwei Pan, Henry Wang, Justin Basilico |
| 2023 | Generative Next-Basket Recommendation. | Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen |
| 2023 | Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. | Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong |
| 2023 | Denoising Explicit Social Signals for Robust Recommendation. | Youchen Sun |
| 2023 | On Challenges of Evaluating Recommender Systems in an Offline Setting. | Aixin Sun |