| 2022 | Wikimarks: Harvesting Relevance Benchmarks from Wikipedia. | Laura Dietz, Shubham Chatterjee, Connor Lennox, Sumanta Kashyapi, Pooja Oza, Ben Gamari |
| 2022 | A 'Pointwise-Query, Listwise-Document' based Query Performance Prediction Approach. | Suchana Datta, Sean MacAvaney, Debasis Ganguly, Derek Greene |
| 2022 | The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. | Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto |
| 2022 | Query Facet Mapping and its Applications in Streaming Services: The Netflix Case Study. | Sudeep Das, Ivan Provalov, Vickie Zhang, Weidong Zhang |
| 2022 | Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. | Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi |
| 2022 | Video Moment Retrieval from Text Queries via Single Frame Annotation. | Ran Cui, Tianwen Qian, Pai Peng, Elena Daskalaki, Jingjing Chen, Xiaowei Guo, Huyang Sun, Yu-Gang Jiang |
| 2022 | KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums. | Limeng Cui, Dongwon Lee |
| 2022 | Relation-Guided Few-Shot Relational Triple Extraction. | Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang |
| 2022 | Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. | Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff |
| 2022 | Extractive Search for Analysis of Biomedical Texts. | Daniel Clothiaux, Ravi Starzl |
| 2022 | H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. | Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin |
| 2022 | Conversational Question Answering on Heterogeneous Sources. | Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum |
| 2022 | Explainable Conversational Question Answering over Heterogeneous Sources. | Philipp Christmann |
| 2022 | RecDelta: An Interactive Dashboard on Top-k Recommendation for Cross-model Evaluation. | Yi-Shyuan Chiang, Yu-Ze Liu, Chen-Feng Tsai, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang |
| 2022 | Fairness-Aware Question Answering for Intelligent Assistants. | Sachin Pathiyan Cherumanal |
| 2022 | Constructing Better Evaluation Metrics by Incorporating the Anchoring Effect into the User Model. | Nuo Chen, Fan Zhang, Tetsuya Sakai |
| 2022 | Adversarial Graph Perturbations for Recommendations at Scale. | Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang |
| 2022 | Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. | Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen |
| 2022 | AutoGSR: Neural Architecture Search for Graph-based Session Recommendation. | Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang |
| 2022 | GERE: Generative Evidence Retrieval for Fact Verification. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. | Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang |
| 2022 | Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. | Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao |
| 2022 | Generative Adversarial Framework for Cold-Start Item Recommendation. | Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li |
| 2022 | Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling. | Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei |
| 2022 | GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection. | Xu Chen, Qiu Qiu, Changshan Li, Kunqing Xie |