| 2023 | MCM: A Multi-task Pre-trained Customer Model for Personalization. | Rui Luo, Tianxin Wang, Jingyuan Deng, Peng Wan |
| 2023 | Analysis Operations for Constraint-based Recommender Systems. | Sebastian Lubos, Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran |
| 2023 | Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures. | Pasquale Lops, Elio Musacchio, Cataldo Musto, Marco Polignano, Antonio Silletti, Giovanni Semeraro |
| 2023 | How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective. | Benedikt Loepp, Jrgen Ziegler |
| 2023 | STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation. | Wanda Li, Wenhao Zheng, Xuanji Xiao, Suhang Wang |
| 2023 | STRec: Sparse Transformer for Sequential Recommendations. | Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li |
| 2023 | Co-occurrence Embedding Enhancement for Long-tail Problem in Multi-Interest Recommendation. | Yaokun Liu, Xiaowang Zhang, Minghui Zou, Zhiyong Feng |
| 2023 | Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation. | Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming |
| 2023 | Loss Harmonizing for Multi-Scenario CTR Prediction. | Congcong Liu, Liang Shi, Pei Wang, Fei Teng, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao |
| 2023 | On the Consistency, Discriminative Power and Robustness of Sampled Metrics in Offline Top-N Recommender System Evaluation. | Yang Liu, Alan Medlar, Dorota Glowacka |
| 2023 | What We Evaluate When We Evaluate Recommender Systems: Understanding Recommender Systems' Performance using Item Response Theory. | Yang Liu, Alan Medlar, Dorota Glowacka |
| 2023 | Distribution-based Learnable Filters with Side Information for Sequential Recommendation. | Haibo Liu, Zhixiang Deng, Liang Wang, Jinjia Peng, Shi Feng |
| 2023 | User Behavior Modeling with Deep Learning for Recommendation: Recent Advances. | Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang |
| 2023 | ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. | Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou |
| 2023 | Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. | Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke |
| 2023 | AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. | Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li |
| 2023 | Exploring Unlearning Methods to Ensure the Privacy, Security, and Usability of Recommender Systems. | Jens Leysen |
| 2023 | Fifth Workshop on Recommender Systems in Fashion and Retail - fashionXrecsys2023. | Julia Lasserre, Nima Dokoohaki, Reza Shirvany |
| 2023 | M3REC: A Meta-based Multi-scenario Multi-task Recommendation Framework. | Zerong Lan, Yingyi Zhang, Xianneng Li |
| 2023 | Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. | Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang |
| 2023 | Creating the next generation of news experience on ekstrabladet.dk with recommender systems. | Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Jes Frellsen |
| 2023 | A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions. | Norman Knyazev, Harrie Oosterhuis |
| 2023 | Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. | Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Lars Skjrven, Astrid Tessem, Christoph Trattner |
| 2023 | Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec? | Anton Klenitskiy, Alexey Vasilev |
| 2023 | Lightweight Boosting Models for User Response Prediction Using Adversarial Validation. | Hyeonwoo Kim, Wonsung Lee |