| 2022 | Let's Learn from Children: Scaffolding to Enable Search as Learning in the Educational Environment. | Monica Landoni, Maria Soledad Pera, Emiliana Murgia, Theo Huibers |
| 2022 | An Attribute-Driven Mirror Graph Network for Session-based Recommendation. | Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun |
| 2022 | Competitive Search. | Oren Kurland, Moshe Tennenholtz |
| 2022 | EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems. | Ishaan Kumar, Yaochen Hu, Yingxue Zhang |
| 2022 | 3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022). | Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci |
| 2022 | Zero-shot Query Contextualization for Conversational Search. | Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas |
| 2022 | Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model. | Till Kletti, Jean-Michel Renders, Patrick Loiseau |
| 2022 | Summarizing Legal Regulatory Documents using Transformers. | Svea Klaus, Ria Van Hecke, Kaweh Djafari Naini, Ismail Sengor Altingovde, Juan Bernab-Moreno, Enrique Herrera-Viedma |
| 2022 | Alignment Rationale for Query-Document Relevance. | Youngwoo Kim, Razieh Rahimi, James Allan |
| 2022 | A Multi-Task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems. | To Eun Kim, Aldo Lipani |
| 2022 | Applications and Future of Dense Retrieval in Industry. | Yubin Kim |
| 2022 | Scalable User Interface Optimization Using Combinatorial Bandits. | Ioannis Kangas, Maud Schwoerer, Lucas Bernardi |
| 2022 | eCom'22: The SIGIR 2022 Workshop on eCommerce. | Ajinkya Kale, Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue |
| 2022 | CRET: Cross-Modal Retrieval Transformer for Efficient Text-Video Retrieval. | Kaixiang Ji, Jiajia Liu, Weixiang Hong, Liheng Zhong, Jian Wang, Jingdong Chen, Wei Chu |
| 2022 | Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. | Yiling Jia, Hongning Wang |
| 2022 | Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research? | Longquan Jiang, Ricardo Usbeck |
| 2022 | Few-Shot Stance Detection via Target-Aware Prompt Distillation. | Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2022 | Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. | Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2022 | On Optimizing Top-K Metrics for Neural Ranking Models. | Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | Learning to Rank Knowledge Subgraph Nodes for Entity Retrieval. | Parastoo Jafarzadeh, Zahra Amirmahani, Faezeh Ensan |
| 2022 | AHP: Learning to Negative Sample for Hyperedge Prediction. | Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin |
| 2022 | P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. | Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu |
| 2022 | Learning to Infer User Implicit Preference in Conversational Recommendation. | Chenhao Hu, Shuhua Huang, Yansen Zhang, Yubao Liu |
| 2022 | Lightweight Meta-Learning for Low-Resource Abstractive Summarization. | Taehun Huh, Youngjoong Ko |
| 2022 | An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. | Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo |