| 2021 | Hybrid Model with Time Modeling for Sequential Recommender Systems. | Marlesson R. O. Santana, Anderson Soares |
| 2021 | Combining RNN with Transformer for Modeling Multi-Leg Trips. | Yoshihiro Sakatani |
| 2021 | TripRec - A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis. | Rinita Roy, Linus W. Dietz |
| 2021 | Event-Driven Query Expansion. | Guy D. Rosin, Ido Guy, Kira Radinsky |
| 2021 | Information to Wisdom: Commonsense Knowledge Extraction and Compilation. | Simon Razniewski, Niket Tandon, Aparna S. Varde |
| 2021 | Birdspotter: A Tool for Analyzing and Labeling Twitter Users. | Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu |
| 2021 | On the Impact of Predicate Complexity in Crowdsourced Classification Tasks. | Jorge Ramrez, Marcos Bez, Fabio Casati, Luca Cernuzzi, Boualem Benatallah, Ekaterina A. Taran, Veronika A. Malanina |
| 2021 | HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. | Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam |
| 2021 | Integrity 2021: Integrity in Social Networks and Media. | Lluis Garcia Pueyo, Anand Bhaskar, Roelof van Zwol, Timos Sellis, Gireeja Ranade, Prathyusha Senthil Kumar, Yu Sun, Joy Zhang |
| 2021 | Test Students' Attention in Class using a Mobile Application. | Doru Anastasiu Popescu, Cosmin Iulian Gosoiu, Ion Alexandru Popescu |
| 2021 | Learning Testing Model using Test Generators and Mobile Applications. | Doru Anastasiu Popescu, Cosmin Iulian Gosoiu, Daniel Nijloveanu |
| 2021 | Contextualizing Trending Entities in News Stories. | Marco Ponza, Diego Ceccarelli, Paolo Ferragina, Edgar Meij, Sambhav Kothari |
| 2021 | Collaboration Patterns in Students' Teams Working on Business Cases. | Galena Pisoni, Hannie Gijlers, Hsin-Chueh Chen, Thu Ha Nguyen |
| 2021 | Attention-based neural re-ranking approach for next city in trip recommendations. | Aleksandr V. Petrov, Yuriy Makarov |
| 2021 | Diverse User Preference Elicitation with Multi-Armed Bandits. | Javier Parapar, Filip Radlinski |
| 2021 | Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. | Guansong Pang, Longbing Cao, Charu Aggarwal |
| 2021 | Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. | Liang Pang, Qingyao Ai, Jun Xu |
| 2021 | Unsupervised Attributed Network Embedding via Cross Fusion. | Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu |
| 2021 | Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions. | Harrie Oosterhuis, Maarten de Rijke |
| 2021 | Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. | Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng |
| 2021 | Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks. | Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta |
| 2021 | Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains. | Anna Muratova |
| 2021 | DECAF: Deep Extreme Classification with Label Features. | Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma |
| 2021 | Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network. | Congcong Miao, Jiajun Fu, Jilong Wang, Heng Yu, Botao Yao, Anqi Zhong, Jie Chen, Zekun He |
| 2021 | Fairness-Aware Recommendation in Multi-Sided Platforms. | Masoud Mansoury |