| 2022 | Explainable Fairness in Recommendation. | Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang |
| 2022 | Entity-aware Transformers for Entity Search. | Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries |
| 2022 | SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts. | Andrs Garca-Silva, Cristian Berrio, Jos Manul Gmez-Prez, Jos Antonio Martnez Heras, Alessandro Donati, Ilaria Roma |
| 2022 | Value Penalized Q-Learning for Recommender Systems. | Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao |
| 2022 | Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems. | Zhaolin Gao, Tianshu Shen, Zheda Mai, Mohamed Reda Bouadjenek, Isaac Waller, Ashton Anderson, Ron Bodkin, Scott Sanner |
| 2022 | Long Document Re-ranking with Modular Re-ranker. | Luyu Gao, Jamie Callan |
| 2022 | Self-Guided Learning to Denoise for Robust Recommendation. | Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang, Baihua Zheng |
| 2022 | Unlearning Protected User Attributes in Recommendations with Adversarial Training. | Christian Ganhr, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl |
| 2022 | From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. | Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stphane Clinchant |
| 2022 | Forest-based Deep Recommender. | Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen |
| 2022 | Analyzing the Support Level for Tips Extracted from Product Reviews. | Miriam Farber, David Carmel, Lital Kuchy, Avihai Mejer |
| 2022 | Goal-Driven Lifelong Learning through Personalized Search and Recommendation Services. | Abdolali Faraji, MohammadReza Tavakoli, Gbor Kismihk |
| 2022 | Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. | Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie |
| 2022 | Towards Event-level Causal Relation Identification. | Chuang Fan, Daoxing Liu, Libo Qin, Yue Zhang, Ruifeng Xu |
| 2022 | Graph Trend Filtering Networks for Recommendation. | Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li |
| 2022 | Improving Implicit Alternating Least Squares with Ring-based Regularization. | Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen |
| 2022 | Interactive Query Clarification and Refinement via User Simulation. | Pierre Erbacher, Ludovic Denoyer, Laure Soulier |
| 2022 | Hierarchical Task-aware Multi-Head Attention Network. | Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu |
| 2022 | Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. | Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu |
| 2022 | Optimizing Generalized Gini Indices for Fairness in Rankings. | Virginie Do, Nicolas Usunier |
| 2022 | Information Ecosystem Threats in Minoritized Communities: Challenges, Open Problems and Research Directions. | Shiri Dori-Hacohen, Scott A. Hale |
| 2022 | Table Enrichment System for Machine Learning. | Yuyang Dong, Masafumi Oyamada |
| 2022 | Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. | Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin |
| 2022 | Improving Fairness and Transparency for Artists in Music Recommender Systems. | Karlijn Dinnissen |
| 2022 | Interpolative Distillation for Unifying Biased and Debiased Recommendation. | Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang |