| 2021 | Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. | Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen |
| 2021 | Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models. | Wentao Fan, Zhiyan Guo, Nizar Bouguila, Wenjuan Hou |
| 2021 | Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. | Mikhail Fain, Niall Twomey, Danushka Bollegala |
| 2021 | Hierarchical Dependence-aware Evaluation Measures for Conversational Search. | Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2021 | Enabling Performance Prediction in Information Retrieval Evaluation. | Guglielmo Faggioli |
| 2021 | PreSizE: Predicting Size in E-Commerce using Transformers. | Yotam Eshel, Or Levi, Haggai Roitman, Alexander Nus |
| 2021 | State of the Art of User Simulation Approaches for Conversational Information Retrieval. | Pierre Erbacher, Laure Soulier, Ludovic Denoyer |
| 2021 | Does BERT Pay Attention to Cyberbullying? | Fatma Elsafoury, Stamos Katsigiannis, Steven R. Wilson, Naeem Ramzan |
| 2021 | Semi-automatic Labelling of Scientific Articles using Deep Learning to Enlarge Benchmark Data for Scientific Summarization. | Alaa El-Ebshihy |
| 2021 | This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics. | Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans |
| 2021 | Understanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics. | Tim Draws |
| 2021 | User Preference-aware Fake News Detection. | Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun |
| 2021 | Restoring Healthy Online Discourse by Detecting and Reducing Controversy, Misinformation, and Toxicity Online. | Shiri Dori-Hacohen, Keen Sung, Jengyu Chou, Julian Lustig-Gonzalez |
| 2021 | Legal Judgment Prediction via Relational Learning. | Qian Dong, Shuzi Niu |
| 2021 | Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. | Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy |
| 2021 | MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. | Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo |
| 2021 | Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. | Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam |
| 2021 | Towards Multi-Modal Conversational Information Seeking. | Yashar Deldjoo, Johanne R. Trippas, Hamed Zamani |
| 2021 | Bridge the Gap: Industrial Data Pipeline oriented Recommendation Enhancement. | Jie Dai |
| 2021 | An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search. | Arnon Dagan, Ido Guy, Slava Novgorodov |
| 2021 | Motif-aware Sequential Recommendation. | Zeyu Cui, Yinjiang Cai, Shu Wu, Xibo Ma, Liang Wang |
| 2021 | Supporting Metacognition during Exploratory Search with the OrgBox. | Anita Crescenzi, Austin R. Ward, Yuan Li, Rob Capra |
| 2021 | TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. | Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff |
| 2021 | MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. | Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin |
| 2021 | Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. | Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff |