| 2021 | Learning Early Exit Strategies for Additive Ranking Ensembles. | Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2021 | Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations. | Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang |
| 2021 | When Choice Happens: A Systematic Examination of Mouse Movement Length for Decision Making in Web Search. | Lukas Brckner, Ioannis Arapakis, Luis A. Leiva |
| 2021 | Predicting Links on Wikipedia with Anchor Text Information. | Robin Brochier, Frdric Bchet |
| 2021 | Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage. | Will Brackenbury, Galen Harrison, Kyle Chard, Aaron J. Elmore, Blase Ur |
| 2021 | On the Orthogonality of Bias and Utility in Ad hoc Retrieval. | Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2021 | Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. | Keping Bi, Qingyao Ai, W. Bruce Croft |
| 2021 | YASBIL: Yet Another Search Behaviour (and) Interaction Logger. | Nilavra Bhattacharya, Jacek Gwizdka |
| 2021 | Semantic Query Labeling Through Synthetic Query Generation. | Elias Bassani, Gabriella Pasi |
| 2021 | On Interpretation and Measurement of Soft Attributes for Recommendation. | Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou |
| 2021 | Sim4IR: The SIGIR 2021 Workshop on Simulation for Information Retrieval Evaluation. | Krisztian Balog, David Maxwell, Paul Thomas, Shuo Zhang |
| 2021 | Variational Autoencoders for Top-K Recommendation with Implicit Feedback. | Bahare Askari, Jaroslaw Szlichta, Amirali Salehi-Abari |
| 2021 | A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra |
| 2021 | Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. | Vito Walter Anelli, Alejandro Bellogn, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia |
| 2021 | APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization. | Ali Ahmadvand, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein |
| 2021 | POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation. | Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog |
| 2021 | Regularized Dual-PPMI Co-clustering for Text Data. | Sverine Affeldt, Lazhar Labiod, Mohamed Nadif |
| 2021 | Retrieving Complex Tables with Multi-Granular Graph Representation Learning. | Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely |
| 2021 | Video Corpus Moment Retrieval with Contrastive Learning. | Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh |
| 2021 | Long-Tail Hashing. | Yong Chen, Yuqing Hou, Shu Leng, Qing Zhang, Zhouchen Lin, Dell Zhang |
| 2021 | DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. | Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher |
| 2021 | Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction. | Fan Zhou, Liu Yu, Xovee Xu, Goce Trajcevski |
| 2021 | Assessing Query Suggestions for Search Session Simulation. | Sebastian Gnther, Matthias Hagen |
| 2021 | DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. | Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2021 | Info-flow Enhanced GANs for Recommender. | Yuan Lin, Zhang Xie, Bo Xu, Kan Xu, Hongfei Lin |