| 2021 | A Black-Box Attack Model for Visually-Aware Recommender Systems. Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir |
| 2021 | A Practical Federated Learning Framework for Small Number of Stakeholders. Christian Schneebeli, Saikishore Kalloori, Severin Klingler |
| 2021 | A Semantic Layer Querying Tool. Renato Stoffalette João |
| 2021 | A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores. Kasimir Gabert, Ali Pinar, Ümit V. Çatalyürek |
| 2021 | Abstractive Opinion Tagging. Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke |
| 2021 | Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging. Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke |
| 2021 | Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen |
| 2021 | Advances in Bias-aware Recommendation on the Web. Ludovico Boratto, Mirko Marras |
| 2021 | Adversarial Immunization for Certifiable Robustness on Graphs. Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng |
| 2021 | All the Wiser: Fake News Intervention Using User Reading Preferences. Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku |
| 2021 | Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph. Riku Togashi, Mayu Otani, Shin'ichi Satoh |
| 2021 | An Efficient and Effective Framework for Session-based Social Recommendation. Tianwen Chen, Raymond Chi-Wing Wong |
| 2021 | AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries. Tongliang Li, Lei Fang, Jian-Guang Lou, Zhoujun Li, Dongmei Zhang |
| 2021 | AttentionFlow: Visualising Influence in Networks of Time Series. Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Patrick Mathews, Rong Wang, Georgiana Lyall, Lexing Xie |
| 2021 | AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu |
| 2021 | Balance Maximization in Signed Networks via Edge Deletions. Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi |
| 2021 | Balanced Influence Maximization in the Presence of Homophily. Md Sanzeed Anwar, Martin Saveski, Deb Roy |
| 2021 | Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui |
| 2021 | Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. Liang Pang, Qingyao Ai, Jun Xu |
| 2021 | Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng |
| 2021 | Beyond Web Search: How Email Search is Different and Why it Matters. Susan T. Dumais |
| 2021 | BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han |
| 2021 | Bias-Variance Decomposition for Ranking. Pannaga Shivaswamy, Ashok Chandrashekar |
| 2021 | Bilateral Variational Autoencoder for Collaborative Filtering. Quoc-Tuan Truong, Aghiles Salah, Hady W. Lauw |
| 2021 | Bipartite Graph Embedding via Mutual Information Maximization. Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang |
| 2021 | Birdspotter: A Tool for Analyzing and Labeling Twitter Users. Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu |
| 2021 | CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled Experiments. Weinan Wang, Xi Zhang |
| 2021 | CalibreNet: Calibration Networks for Multilingual Sequence Labeling. Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang |
| 2021 | Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification. Idan Hasson, Slava Novgorodov, Gilad Fuchs, Yoni Acriche |
| 2021 | Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman |
| 2021 | Centrality with Diversity. Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang |
| 2021 | Chebyshev Accelerated Spectral Clustering. Tianyu Yu, Yonghua Zhao, Rongfeng Huang, Shifang Liu, Xinyin Zhang |
| 2021 | ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from Users. Yuki Maeda, Shuji Yamaguchi, Tatsuru Higurashi, Kota Tsubouchi |
| 2021 | Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings. Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi |
| 2021 | Community Connect: A Mock Social Media Platform to Study Online Behavior. Khyati Mahajan, Sourav Roy Choudhury, Sara Levens, Tiffany Gallicano, Samira Shaikh |
| 2021 | Contextualizing Trending Entities in News Stories. Marco Ponza, Diego Ceccarelli, Paolo Ferragina, Edgar Meij, Sambhav Kothari |
| 2021 | Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets. Ting Liang, Guanxiong Zeng, Qiwei Zhong, Jianfeng Chi, Jinghua Feng, Xiang Ao, Jiayu Tang |
| 2021 | DECAF: Deep Extreme Classification with Label Features. Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma |
| 2021 | Data-Sharing Economy: Value-Addition from Data meets Privacy. Piyush Bagad, Subrata Mitra, Sunny Dhamnani, Atanu R. Sinha, Raunak Gautam, Haresh Khanna |
| 2021 | Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems. Hao Chen, Xin Xin, Dong Wang, Yue Ding |
| 2021 | Deconfounding with Networked Observational Data in a Dynamic Environment. Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li |
| 2021 | Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. Guansong Pang, Longbing Cao, Charu Aggarwal |
| 2021 | Deep Recommender Systems Utilizing Side Information. Amit Livne |
| 2021 | DeepIS: Susceptibility Estimation on Social Networks. Wenwen Xia, Yuchen Li, Jun Wu, Shenghong Li |
| 2021 | DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin |
| 2021 | DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma |
| 2021 | Denoising Implicit Feedback for Recommendation. Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua |
| 2021 | Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning. Seungbae Kim, Jyun-Yu Jiang, Wei Wang |
| 2021 | Diverse User Preference Elicitation with Multi-Armed Bandits. Javier Parapar, Filip Radlinski |
| 2021 | Enhancing Neural Recommender Models through Domain-Specific Concordance. Ananth Balashankar, Alex Beutel, Lakshminarayanan Subramanian |
| 2021 | Event-Driven Query Expansion. Guy D. Rosin, Ido Guy, Kira Radinsky |
| 2021 | Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes. Quyu Kong, Rohit Ram, Marian-Andrei Rizoiu |
| 2021 | Explain and Predict, and then Predict Again. Zijian Zhang, Koustav Rudra, Avishek Anand |
| 2021 | Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals. Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar |
| 2021 | Explainable Recommendation with Comparative Constraints on Product Aspects. Trung-Hoang Le, Hady W. Lauw |
| 2021 | Explanation as a Defense of Recommendation. Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang |
| 2021 | Exploring Personal Knowledge Extraction from Conversations with CHARM. Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum |
| 2021 | Exploring the Subgraph Density-Size Trade-off via the Lovaśz Extension. Aritra Konar, Nicholas D. Sidiropoulos |
| 2021 | F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec |
| 2021 | FACE-KEG: Fact Checking Explained using KnowledgE Graphs. Nikhita Vedula, Srinivasan Parthasarathy |
| 2021 | Fairness-Aware Recommendation in Multi-Sided Platforms. Masoud Mansoury |
| 2021 | Fast Disjunctive Candidate Generation Using Live Block Filtering. Antonio Mallia, Michal Siedlaczek, Torsten Suel |
| 2021 | Federated Deep Knowledge Tracing. Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang |
| 2021 | Filter Pruning via Probabilistic Model-based Optimization for Accelerating Deep Convolutional Neural Networks. Qinghua Li, Cuiping Li, Hong Chen |
| 2021 | FinSense: An Assistant System for Financial Journalists and Investors. Yi-Ting Liou, Chung-Chi Chen, Tsun-Hsien Tang, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2021 | FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection. Jia Li, Shimin Di, Yanyan Shen, Lei Chen |
| 2021 | GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang |
| 2021 | Generating Tips from Product Reviews. Sharon Hirsch, Slava Novgorodov, Ido Guy, Alexander Nus |
| 2021 | Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. Dara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins |
| 2021 | Graph Mining with Graph Neural Networks. Wei Jin |
| 2021 | GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. Tianxiang Zhao, Xiang Zhang, Suhang Wang |
| 2021 | Harnessing Big Data for Personalized Medicine. Eran Segal |
| 2021 | HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam |
| 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 | Heterogeneous Hypergraph Embedding for Graph Classification. Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung |
| 2021 | Hierarchical Metadata-Aware Document Categorization under Weak Supervision. Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han |
| 2021 | How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled Experiments. Yuxiang Xie, Meng Xu, Evan Chow, Xiaolin Shi |
| 2021 | I2PS: An Online Item Intelligent Publishing System in Consumer to Consumer (C2C) Transaction Platform. Lei Tian, Nanyang Wang, Pan Pan, Bin Wang, Yinghui Xu |
| 2021 | Improving Cloud Storage Search with User Activity. Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork |
| 2021 | Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | Information to Wisdom: Commonsense Knowledge Extraction and Compilation. Simon Razniewski, Niket Tandon, Aparna S. Varde |
| 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 | Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains. Anna Muratova |
| 2021 | Interpretable Ranking with Generalized Additive Models. Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian |
| 2021 | Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling. Justus Isaiah Hibshman, Daniel Gonzalez, Satyaki Sikdar, Tim Weninger |
| 2021 | L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web. Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack |
| 2021 | Learning Dynamic Embeddings for Temporal Knowledge Graphs. Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang |
| 2021 | Learning User Representations with Hypercuboids for Recommender Systems. Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou |
| 2021 | Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng |
| 2021 | Learning to Drop: Robust Graph Neural Network via Topological Denoising. Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang |
| 2021 | Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users. Roger Zhe Li, Julián Urbano, Alan Hanjalic |
| 2021 | Local Collaborative Autoencoders. Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee |
| 2021 | Long Horizon Forecasting with Temporal Point Processes. Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi |
| 2021 | Long-Term Effect Estimation with Surrogate Representation. Lu Cheng, Ruocheng Guo, Huan Liu |
| 2021 | Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals. Anastasiia Kornilova, Lucas Bernardi |
| 2021 | Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang |
| 2021 | Modeling Context Pair Interaction for Pairwise Tasks on Graphs. Zhen Wang, Bo Zong, Huan Sun |
| 2021 | Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction. Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu |
| 2021 | Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen |
| 2021 | Multilingual and Multimodal Hate Speech Analysis in Twitter. Gretel Liz De la Peña Sarracén |
| 2021 | Multimodal Machine Learning for Drug Knowledge Discovery. Guy Shtar |
| 2021 | Neural Structured Learning: Training Neural Networks with Structured Signals. Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang |
| 2021 | Node Similarity Preserving Graph Convolutional Networks. Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang |
| 2021 | Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang |
| 2021 | On the Impact of Predicate Complexity in Crowdsourced Classification Tasks. Jorge Ramírez, Marcos Báez, Fabio Casati, Luca Cernuzzi, Boualem Benatallah, Ekaterina A. Taran, Veronika A. Malanina |
| 2021 | Online Experimentation with Surrogate Metrics: Guidelines and a Case Study. Weitao Duan, Shan Ba, Chunzhe Zhang |
| 2021 | Online Post-Processing in Rankings for Fair Utility Maximization. Ananya Gupta, Eric Johnson, Justin Payan, Aditya Kumar Roy, Ari Kobren, Swetasudha Panda, Jean-Baptiste Tristan, Michael L. Wick |
| 2021 | Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai |
| 2021 | Origin-Aware Next Destination Recommendation with Personalized Preference Attention. Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan |
| 2021 | Overview of the Supporting and Understanding of Conversational Dialogues (SUD) Workshop. Debasis Ganguly, Manisha Verma, Procheta Sen, Dipasree Pal, Gareth J. F. Jones |
| 2021 | PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng |
| 2021 | Personalization in Practice: Methods and Applications. Dmitri Goldenberg, Kostia Kofman, Javier Albert, Sarai Mizrachi, Adam Horowitz, Irene Teinemaa |
| 2021 | Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph. Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki |
| 2021 | Popularity-Opportunity Bias in Collaborative Filtering. Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee |
| 2021 | Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff |
| 2021 | Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2021 | Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen |
| 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 | Pretrained Transformers for Text Ranking: BERT and Beyond. Andrew Yates, Rodrigo Nogueira, Jimmy Lin |
| 2021 | Privacy Monitoring Service for Conversations. Qiongkai Xu, Chenchen Xu, Lizhen Qu |
| 2021 | Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks. Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta |
| 2021 | QueryBlazer: Efficient Query Autocompletion Framework. Young Mo Kang, Wenhao Liu, Yingbo Zhou |
| 2021 | Question Rewriting for Conversational Question Answering. Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha |
| 2021 | Quotebank: A Corpus of Quotations from a Decade of News. Timoté Vaucher, Andreas Spitz, Michele Catasta, Robert West |
| 2021 | RePBubLik: Reducing Polarized Bubble Radius with Link Insertions. Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal |
| 2021 | Real-time Relevant Recommendation Suggestion. Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin |
| 2021 | Real-time Streaming of Gait Assessment for Parkinson's Disease. Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi |
| 2021 | Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records. Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao |
| 2021 | Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information. Enyan Dai, Suhang Wang |
| 2021 | Scalable Graph Neural Networks with Deep Graph Library. Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis |
| 2021 | Semi-Supervised Text Classification via Self-Pretraining. Payam Karisani, Negin Karisani |
| 2021 | Shifting Consumption towards Diverse Content on Music Streaming Platforms. Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas |
| 2021 | SoMin.ai: Personality-Driven Content Generation Platform. Aleksandr Farseev, Qi Yang, Andrey Filchenkov, Kirill Lepikhin, Yu-Yi Chu-Farseeva, Daron-Benjamin Loo |
| 2021 | Some Thoughts on Computational Natural Language in the 21st Century. Yoav Shoham |
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| 2021 | Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman |
| 2021 | Temporal Cross-Effects in Knowledge Tracing. Chenyang Wang, Weizhi Ma, Min Zhang, Chuancheng Lv, Fengyuan Wan, Huijie Lin, Taoran Tang, Yiqun Liu, Shaoping Ma |
| 2021 | Temporal Meta-path Guided Explainable Recommendation. Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin |
| 2021 | The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong |
| 2021 | Theoretical Understandings of Product Embedding for E-commerce Machine Learning. Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan |
| 2021 | Time-Series Event Prediction with Evolutionary State Graph. Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren |
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| 2021 | Towards Dynamic User Intention in Sequential Recommendation. Chenyang Wang |
| 2021 | Towards Long-term Fairness in Recommendation. Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang |
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| 2021 | TwiScraper: A Collaborative Project to Enhance Twitter Data Collection. Didier Henry |
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| 2021 | Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions. Harrie Oosterhuis, Maarten de Rijke |
| 2021 | Unsupervised Attributed Network Embedding via Cross Fusion. Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu |
| 2021 | User Response Models to Improve a REINFORCE Recommender System. Minmin Chen, Bo Chang, Can Xu, Ed H. Chi |
| 2021 | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 Liane Lewin-Eytan, David Carmel, Elad Yom-Tov, Eugene Agichtein, Evgeniy Gabrilovich |
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| 2021 | WSDM 2021 Tutorial on Systematic Challenges and Computational Solutions on Bias and Unfairness in Peer Review. Nihar B. Shah |
| 2021 | WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19. Yuan Zhang, Xiaoqing Zhang, Yichuan Hu, Guanchun Wang, Rui Yan |
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