| 2023 | LLM Based Generation of Item-Description for Recommendation System. | Arkadeep Acharya, Brijraj Singh, Naoyuki Onoe |
| 2023 | Two-sided Calibration for Quality-aware Responsible Recommendation. | Chenyang Wang, Yankai Liu, Yuanqing Yu, Weizhi Ma, Min Zhang, Yiqun Liu, Haitao Zeng, Junlan Feng, Chao Deng |
| 2023 | Multiple Connectivity Views for Session-based Recommendation. | Yaming Yang, Jieyu Zhang, Yujing Wang, Zheng Miao, Yunhai Tong |
| 2023 | Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. | Yaxiong Wu, Craig Macdonald, Iadh Ounis |
| 2022 | Page-Wise Personalized Recommendations in an Industrial e-Commerce Setting. | Liying Zheng, Yingji Pan, Yuri M. Brovman |
| 2022 | Mitigating Targeting Bias in Content Recommendation with Causal Bandits. | Yan Zhao, Mitchell Goodman, Sameer Kanase, Shenghe Xu, Yannick Kimmel, Brent Payne, Saad Khan, Patricia Grao |
| 2022 | Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022). | Eva Zangerle, Christine Bauer, Alan Said |
| 2022 | Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders. | Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | Modeling Two-Way Selection Preference for Person-Job Fit. | Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao |
| 2022 | Online Recommender Systems: Is the Juice Worth the Squeeze? | Eugene Yan |
| 2022 | Rethinking Personalized Ranking at Pinterest: An End-to-End Approach. | Jiajing Xu, Andrew Zhai, Charles Rosenberg |
| 2022 | Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2022). | |
| 2022 | Preface. | |
| 2022 | A Nonparametric Contextual Bandit with Arm-level Eligibility Control for Customer Service Routing. | Ruofeng Wen, Wenjun Zeng, Yi Liu |
| 2022 | A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models. | Yingcan Wei, Matthias Langer, Fan Yu, Minseok Lee, Jie Liu, Ji Shi, Zehuan Wang |
| 2022 | CaMeLS: Cooperative Meta-Learning Service for Recommender Systems. | Lukas Wegmeth, Joeran Beel |
| 2022 | Dynamic Global Sensitivity for Differentially Private Contextual Bandits. | Huazheng Wang, David Zhao, Hongning Wang |
| 2022 | Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. | Zehuan Wang, Yingcan Wei, Minseok Lee, Matthias Langer, Fan Yu, Jie Liu, Shijie Liu, Daniel G. Abel, Xu Guo, Jianbing Dong, Ji Shi, Kunlun Li |
| 2022 | Recommending for a multi-sided marketplace with heterogeneous contents. | Yuyan Wang, Long Tao, Xian-Xing Zhang |
| 2022 | Proximity-Based Educational Recommendations: A Multi-Objective Framework. | Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky |
| 2022 | RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations. | Sanne Vrijenhoek, Gabriel Bndict, Mateo Gutierrez Granada, Daan Odijk, Maarten de Rijke |
| 2022 | Performance Predictors for Conversational Fashion Recommendation. | Maria Vlachou, Craig Macdonald |
| 2022 | ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling. | Joo Vinagre, Marie Al-Ghossein, Alpio Mrio Jorge, Albert Bifet, Ladislav Peska |
| 2022 | Recommendation Systems for Ad Creation: A View from the Trenches. | Manisha Verma, Shaunak Mishra |
| 2022 | Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. | Robin Verachtert, Lien Michiels, Bart Goethals |