Table of Contents

• Some Thoughts on Computational Natural Language in the 21st CenturyYoav Shoham. 1 [doi]
• Beyond Web Search: How Email Search is Different and Why it MattersSusan T. Dumais. 2 [doi]
• Harnessing Big Data for Personalized MedicineEran Segal. 3 [doi]
• Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and ImplicationsJina Suh, Eric Horvitz, Ryen W. White, Tim Althoff. 4-12 [doi]
• Ad Delivery Algorithms: The Hidden Arbiters of Political MessagingMuhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke. 13-21 [doi]
• Towards Ordinal Suicide Ideation Detection on Social MediaRamit Sawhney, Harshit Joshi, Saumya Gandhi, Rajiv Ratn Shah. 22-30 [doi]
• DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text DocumentsKunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma. 31-39 [doi]
• Semi-Supervised Text Classification via Self-PretrainingPayam Karisani, Negin Karisani. 40-48 [doi]
• DECAF: Deep Extreme Classification with Label FeaturesAnshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma. 49-57 [doi]
• Modeling Across-Context Attention For Long-Tail Query Classification in E-commerceJunhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang. 58-66 [doi]
• On the Impact of Predicate Complexity in Crowdsourced Classification TasksJorge Ramírez, Marcos Báez, Fabio Casati, Luca Cernuzzi, Boualem Benatallah, Ekaterina A. Taran, Veronika A. Malanina. 67-75 [doi]
• Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender SystemsZhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui. 76-84 [doi]
• Popularity-Opportunity Bias in Collaborative FilteringZiwei Zhu, Yun He 0001, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee. 85-93 [doi]
• A Black-Box Attack Model for Visually-Aware Recommender SystemsRami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir. 94-102 [doi]
• Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream UsersRoger Zhe Li, Julián Urbano, Alan Hanjalic. 103-111 [doi]
• Real-time Relevant Recommendation SuggestionRuobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia 0006, Leyu Lin. 112-120 [doi]
• User Response Models to Improve a REINFORCE Recommender SystemMinmin Chen, Bo Chang, Can Xu, Ed H. Chi. 121-129 [doi]
• Diverse User Preference Elicitation with Multi-Armed BanditsJavier Parapar, Filip Radlinski. 130-138 [doi]
• RePBubLik: Reducing Polarized Bubble Radius with Link InsertionsShahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal. 139-147 [doi]
• Node Similarity Preserving Graph Convolutional NetworksWei Jin, Tyler Derr, Yiqi Wang, Yao Ma 0001, Zitao Liu, Jiliang Tang. 148-156 [doi]
• BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich NetworksDi Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han 0001. 157-165 [doi]
• Deconfounding with Networked Observational Data in a Dynamic EnvironmentJing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li. 166-174 [doi]
• Balanced Influence Maximization in the Presence of HomophilyMd Sanzeed Anwar, Martin Saveski, Deb Roy. 175-183 [doi]
• Learning and Updating Node Embedding on Dynamic Heterogeneous Information NetworkYuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng. 184-192 [doi]
• Online Experimentation with Surrogate Metrics: Guidelines and a Case StudyWeitao Duan, Shan Ba, Chunzhe Zhang. 193-201 [doi]
• CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled ExperimentsWeinan Wang, Xi Zhang. 202-210 [doi]
• Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust PredictionShuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer, Denis Charles, Emre Kiciman. 211-219 [doi]
• Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited RecordsJiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao. 220-228 [doi]
• Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts NetsTing Liang, Guanxiong Zeng, Qiwei Zhong, Jianfeng Chi, Jinghua Feng, Xiang Ao, Jiayu Tang. 229-237 [doi]
• Shifting Consumption towards Diverse Content on Music Streaming PlatformsChristian Hansen 0004, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas. 238-246 [doi]
• Chebyshev Accelerated Spectral ClusteringTianyu Yu, Yonghua Zhao, Rongfeng Huang, Shifang Liu, Xinyin Zhang. 247-255 [doi]
• Theoretical Understandings of Product Embedding for E-commerce Machine LearningDa Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan. 256-264 [doi]
• Pre-Training Graph Neural Networks for Cold-Start Users and Items RepresentationBowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen 0001. 265-273 [doi]
• Long-Term Effect Estimation with Surrogate RepresentationLu Cheng, Ruocheng Guo, Huan Liu 0001. 274-282 [doi]
• PROP: Pre-training with Representative Words Prediction for Ad-hoc RetrievalXinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng. 283-291 [doi]
• Bilateral Variational Autoencoder for Collaborative FilteringQuoc-Tuan Truong, Aghiles Salah, Hady W. Lauw. 292-300 [doi]
• Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale StudyDara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins. 301-309 [doi]
• Generating Tips from Product ReviewsSharon Hirsch, Slava Novgorodov, Ido Guy, Alexander Nus. 310-318 [doi]
• Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post LearningSeungbae Kim, Jyun-Yu Jiang, Wei Wang 0010. 319-327 [doi]
• Quotebank: A Corpus of Quotations from a Decade of NewsTimoté Vaucher, Andreas Spitz, Michele Catasta, Robert West 0001. 328-336 [doi]
• Abstractive Opinion TaggingQintong Li, Piji Li, Xinyi Li 0001, Zhaochun Ren, Zhumin Chen, Maarten de Rijke. 337-345 [doi]
• Contextualizing Trending Entities in News StoriesMarco Ponza, Diego Ceccarelli, Paolo Ferragina, Edgar Meij, Sambhav Kothari. 346-354 [doi]
• Question Rewriting for Conversational Question AnsweringSvitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha. 355-363 [doi]
• Adapting User Preference to Online Feedback in Multi-round Conversational RecommendationKerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo 0002, Ji-Rong Wen. 364-372 [doi]
• Denoising Implicit Feedback for RecommendationWenjie Wang, Fuli Feng, Xiangnan He 0001, Liqiang Nie, Tat-Seng Chua. 373-381 [doi]
• Origin-Aware Next Destination Recommendation with Personalized Preference AttentionNicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan. 382-390 [doi]
• Event-Driven Query ExpansionGuy D. Rosin, Ido Guy, Kira Radinsky. 391-399 [doi]
• An Efficient and Effective Framework for Session-based Social RecommendationTianwen Chen, Raymond Chi-Wing Wong. 400-408 [doi]
• Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective InterventionsYanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman. 409-417 [doi]
• Explain and Predict, and then Predict AgainZijian Zhang 0006, Koustav Rudra, Avishek Anand. 418-426 [doi]
• Combating Selection Biases in Recommender Systems with a Few Unbiased RatingsXiaojie Wang 0003, Rui Zhang, Yu Sun, Jianzhong Qi 0001. 427-435 [doi]
• Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender SystemsXuezhi Wang 0002, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel. 436-444 [doi]
• Towards Long-term Fairness in RecommendationYingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun 0001, Junfeng Ge, Wenwu Ou, Yongfeng Zhang. 445-453 [doi]
• Online Post-Processing in Rankings for Fair Utility MaximizationAnanya Gupta, Eric Johnson, Justin Payan, Aditya Kumar Roy, Ari Kobren, Swetasudha Panda, Jean-Baptiste Tristan, Michael L. Wick. 454-462 [doi]
• Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online InterventionsHarrie Oosterhuis, Maarten de Rijke. 463-471 [doi]
• Bias-Variance Decomposition for RankingPannaga Shivaswamy, Ashok Chandrashekar. 472-480 [doi]
• Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a CorrectionNan Wang, Zhen Qin 0002, Xuanhui Wang, Hongning Wang. 481-489 [doi]
• Unbiased Learning to Rank in Feeds RecommendationXinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang 0001. 490-498 [doi]
• Interpretable Ranking with Generalized Additive ModelsHonglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian. 499-507 [doi]
• Improving Cloud Storage Search with User ActivityRolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin 0002, Michael Bendersky, Marc Najork. 508-516 [doi]
• Temporal Cross-Effects in Knowledge TracingChenyang Wang, Weizhi Ma, Min Zhang, Chuancheng Lv, Fengyuan Wan, Huijie Lin, Taoran Tang, Yiqun Liu 0001, Shaoping Ma. 517-525 [doi]
• FACE-KEG: Fact Checking Explained using KnowledgE GraphsNikhita Vedula, Srinivasan Parthasarathy 0001. 526-534 [doi]
• Learning Dynamic Embeddings for Temporal Knowledge GraphsSiyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang. 535-543 [doi]
• Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge GraphYu Chen 0022, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki. 544-552 [doi]
• Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision SignalsGaole He, Yunshi Lan, Jing Jiang 0001, Wayne Xin Zhao, Ji-Rong Wen. 553-561 [doi]
• Beyond Relevance: Trustworthy Answer Selection via Consensus VerificationLixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng. 562-570 [doi]
• Long Horizon Forecasting with Temporal Point ProcessesPrathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi. 571-579 [doi]
• Time-Series Event Prediction with Evolutionary State GraphWenjie Hu, Yang Yang 0009, Ziqiang Cheng, Carl Yang, Xiang Ren. 580-588 [doi]
• F-FADE: Frequency Factorization for Anomaly Detection in Edge StreamsYen-Yu Chang, Pan Li 0005, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec. 589-597 [doi]
• Sparse-Interest Network for Sequential RecommendationQiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu. 598-606 [doi]
• Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time IntervalsTsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar. 607-615 [doi]
• Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality PredictionChunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu. 616-634 [doi]
• Bipartite Graph Embedding via Mutual Information MaximizationJiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang 0004. 635-643 [doi]
• Centrality with DiversityLiang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang. 644-652 [doi]
• Filter Pruning via Probabilistic Model-based Optimization for Accelerating Deep Convolutional Neural NetworksQinghua Li, Cuiping Li, Hong Chen. 653-661 [doi]
• Federated Deep Knowledge TracingJinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang 0001. 662-670 [doi]
• Fast Disjunctive Candidate Generation Using Live Block FilteringAntonio Mallia, Michal Siedlaczek, Torsten Suel. 671-679 [doi]
• Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute InformationEnyan Dai, Suhang Wang. 680-688 [doi]
• A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph CoresKasimir Gabert, Ali Pinar, Ümit V. Çatalyürek. 689-697 [doi]
• Adversarial Immunization for Certifiable Robustness on GraphsShuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng. 698-706 [doi]
• Triangular Bidword Generation for Sponsored Search AuctionZhenqiao Song, Jiaze Chen, Hao Zhou, Lei Li 0005. 707-715 [doi]
• Learning User Representations with Hypercuboids for Recommender SystemsShuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou. 716-724 [doi]
• Heterogeneous Hypergraph Embedding for Graph ClassificationXiangguo Sun, Hongzhi Yin, Bo Liu 0004, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung. 725-733 [doi]
• Local Collaborative AutoencodersMinjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee. 734-742 [doi]
• Exploring the Subgraph Density-Size Trade-off via the Lovaśz ExtensionAritra Konar, Nicholas D. Sidiropoulos. 743-751 [doi]
• Balance Maximization in Signed Networks via Edge DeletionsKartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi. 752-760 [doi]
• DeepIS: Susceptibility Estimation on Social NetworksWenwen Xia, Yuchen Li, Jun Wu, Shenghong Li. 761-769 [doi]
• Hierarchical Metadata-Aware Document Categorization under Weak SupervisionYu Zhang, Xiusi Chen, Yu Meng 0001, Jiawei Han 0001. 770-778 [doi]
• Learning to Drop: Robust Graph Neural Network via Topological DenoisingDongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang. 779-787 [doi]
• AutoCite: Multi-Modal Representation Fusion for Contextual Citation GenerationQingqin Wang, Yun Xiong, Yao Zhang 0009, Jiawei Zhang, Yangyong Zhu. 788-796 [doi]
• Unsupervised Attributed Network Embedding via Cross FusionGuosheng Pan, Yuan Yao 0001, Hanghang Tong, Feng Xu 0007, Jian Lu 0001. 797-805 [doi]
• Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal NetworkCongcong Miao, Jiajun Fu, Jilong Wang 0001, Heng Yu, Botao Yao, Anqi Zhong, Jie Chen, Zekun He. 806-814 [doi]
• Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph ModelingJustus Isaiah Hibshman, Daniel Gonzalez, Satyaki Sikdar, Tim Weninger. 815-823 [doi]
• FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly DetectionJia Li, Shimin Di, Yanyan Shen, Lei Chen. 824-832 [doi]
• GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural NetworksTianxiang Zhao, Xiang Zhang, Suhang Wang. 833-841 [doi]
• CalibreNet: Calibration Networks for Multilingual Sequence LabelingShining Liang, Linjun Shou, Jian Pei, Ming Gong, WanLi Zuo, Daxin Jiang. 842-850 [doi]
• Modeling Context Pair Interaction for Pairwise Tasks on GraphsZhen Wang, Bo Zong, Huan Sun. 851-859 [doi]
• HeteGCN: Heterogeneous Graph Convolutional Networks for Text ClassificationRahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam. 860-868 [doi]
• Towards Scalable Spectral Embedding and Data Visualization via Spectral CoarseningZhiqiang Zhao, Ying Zhang, Zhuo Feng. 869-877 [doi]
• I2PS: An Online Item Intelligent Publishing System in Consumer to Consumer (C2C) Transaction PlatformLei Tian, Nanyang Wang, Pan Pan, Bin Wang, Yinghui Xu. 878-881 [doi]
• FinSense: An Assistant System for Financial Journalists and InvestorsYi-Ting Liou, Chung-Chi Chen, Tsun-Hsien Tang, Hen-Hsen Huang, Hsin-Hsi Chen. 882-885 [doi]
• TwiScraper: A Collaborative Project to Enhance Twitter Data CollectionDidier Henry. 886-889 [doi]
• SoMin.ai: Personality-Driven Content Generation PlatformAleksandr Farseev, Qi Yang, Andrey Filchenkov, Kirill Lepikhin, Yu-Yi Chu-Farseeva, Daron-Benjamin Loo. 890-893 [doi]
• ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from UsersYuki Maeda, Shuji Yamaguchi, Tatsuru Higurashi, Kota Tsubouchi. 894-897 [doi]
• WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19Yuan Zhang, Xiaoqing Zhang, Yichuan Hu, Guanchun Wang, Rui Yan 0001. 898-901 [doi]
• Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical ClassificationIdan Hasson, Slava Novgorodov, Gilad Fuchs, Yoni Acriche. 902-905 [doi]
• AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical QueriesTongliang Li, Lei Fang, Jian-Guang Lou, Zhoujun Li, Dongmei Zhang. 906-909 [doi]
• A Practical Federated Learning Framework for Small Number of StakeholdersChristian Schneebeli, Saikishore Kalloori, Severin Klingler. 910-913 [doi]
• GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial TransactionsMangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang. 914-917 [doi]
• Birdspotter: A Tool for Analyzing and Labeling Twitter UsersRohit Ram, Quyu Kong, Marian-Andrei Rizoiu. 918-921 [doi]
• DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad ServingWei Deng 0002, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin. 922-930 [doi]
• Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge GraphRiku Togashi, Mayu Otani, Shin'ichi Satoh. 931-939 [doi]
• β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of OutliersDionysis Manousakas, Cecilia Mascolo. 940-948 [doi]
• How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled ExperimentsYuxiang Xie, Meng Xu, Evan Chow, Xiaolin Shi. 949-957 [doi]
• Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender SystemsHao Chen, Xin Xin, Dong Wang, Yue Ding. 958-966 [doi]
• Explainable Recommendation with Comparative Constraints on Product AspectsTrung Hoang Le, Hady W. Lauw. 967-975 [doi]
• Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation RentalsAnastasiia Kornilova, Lucas Bernardi. 976-983 [doi]
• Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR PredictionKai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen. 984-992 [doi]
• Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce AdvertisingZhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai. 993-1001 [doi]
• Enhancing Neural Recommender Models through Domain-Specific ConcordanceAnanth Balashankar, Alex Beutel, Lakshminarayanan Subramanian. 1002-1010 [doi]
• QueryBlazer: Efficient Query Autocompletion FrameworkYoung Mo Kang, Wenhao Liu, Yingbo Zhou. 1020-1028 [doi]
• Explanation as a Defense of RecommendationAobo Yang, Nan Wang, Hongbo Deng, Hongning Wang. 1029-1037 [doi]
• Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert NetworksXichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao 0005, Hongbo Deng. 1038-1046 [doi]
• Toward User Engagement Optimization in 2D PresentationLiang Wu 0006, Mihajlo Grbovic, Jundong Li. 1047-1055 [doi]
• Temporal Meta-path Guided Explainable RecommendationHongxu Chen, Yicong Li 0003, Xiangguo Sun, Guandong Xu, Hongzhi Yin. 1056-1064 [doi]
• WoMG: A Library for Word-of-Mouth Cascades GenerationFederico Cinus, Francesco Bonchi, Corrado Monti, André Panisson. 1065-1068 [doi]
• All the Wiser: Fake News Intervention Using User Reading PreferencesKuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku. 1069-1072 [doi]
• Community Connect: A Mock Social Media Platform to Study Online BehaviorKhyati Mahajan, Sourav Roy Choudhury, Sara Levens, Tiffany Gallicano, Samira Shaikh. 1073-1076 [doi]
• Exploring Personal Knowledge Extraction from Conversations with CHARMAnna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum. 1077-1080 [doi]
• Real-time Streaming of Gait Assessment for Parkinson's DiseaseCristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi. 1081-1084 [doi]
• AttentionFlow: Visualising Influence in Networks of Time SeriesMinjeong Shin, Alasdair Tran, Siqi Wu, Alexander Patrick Mathews, Rong Wang, Georgiana Lyall, Lexing Xie. 1085-1088 [doi]
• Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial NetworksDaniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta. 1089-1092 [doi]
• Privacy Monitoring Service for ConversationsQiongkai Xu, Chenchen Xu, Lizhen Qu. 1093-1096 [doi]
• Evently: Modeling and Analyzing Reshare Cascades with Hawkes ProcessesQuyu Kong, Rohit Ram, Marian-Andrei Rizoiu. 1097-1100 [doi]
• A Semantic Layer Querying ToolRenato Stoffalette João. 1101-1104 [doi]
• Data-Sharing Economy: Value-Addition from Data meets PrivacyPiyush Bagad, Subrata Mitra, Sunny Dhamnani, Atanu R. Sinha, Raunak Gautam, Haresh Khanna. 1105-1108 [doi]
• Multilingual and Multimodal Hate Speech Analysis in TwitterGretel Liz De la Peña Sarracén. 1109-1110 [doi]
• Deep Recommender Systems Utilizing Side InformationAmit Livne. 1111-1112 [doi]
• Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various DomainsAnna Muratova. 1113-1114 [doi]
• Multimodal Machine Learning for Drug Knowledge DiscoveryGuy Shtar. 1115-1116 [doi]
• Fairness-Aware Recommendation in Multi-Sided PlatformsMasoud Mansoury. 1117-1118 [doi]
• Graph Mining with Graph Neural NetworksWei Jin. 1119-1120 [doi]
• Towards Dynamic User Intention in Sequential RecommendationChenyang Wang. 1121-1122 [doi]
• Personalization in Practice: Methods and ApplicationsDmitri Goldenberg, Kostia Kofman, Javier Albert, Sarai Mizrachi, Adam Horowitz, Irene Teinemaa. 1123-1126 [doi]
• Deep Learning for Anomaly Detection: Challenges, Methods, and OpportunitiesGuansong Pang, Longbing Cao, Charu Aggarwal 0001. 1127-1130 [doi]
• WSDM 2021 Tutorial on Systematic Challenges and Computational Solutions on Bias and Unfairness in Peer ReviewNihar B. Shah. 1131-1133 [doi]
• WSDM 2021 Tutorial on Conversational Recommendation SystemsZuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang. 1134-1136 [doi]
• Beyond Probability Ranking Principle: Modeling the Dependencies among DocumentsLiang Pang, Qingyao Ai, Jun Xu. 1137-1140 [doi]
• Scalable Graph Neural Networks with Deep Graph LibraryDa Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang 0001, George Karypis. 1141-1142 [doi]
• Information to Wisdom: Commonsense Knowledge Extraction and CompilationSimon Razniewski, Niket Tandon, Aparna S. Varde. 1143-1146 [doi]
• Advances in Bias-aware Recommendation on the WebLudovico Boratto, Mirko Marras. 1147-1149 [doi]
• Neural Structured Learning: Training Neural Networks with Structured SignalsArjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang. 1150-1153 [doi]
• Pretrained Transformers for Text Ranking: BERT and BeyondAndrew Yates, Rodrigo Nogueira, Jimmy Lin. 1154-1156 [doi]
• WebTour 2021 Workshop on Web TourismTsvi Kuflik, Catalin Mihai Barbu, Amra Delic, Dmitri Goldenberg, Julia Neidhardt, Ludovik Coba, Markus Zanker. 1157-1158 [doi]
• Integrity 2021: Integrity in Social Networks and MediaLluis Garcia Pueyo, Anand Bhaskar, Roelof van Zwol, Timos Sellis, Gireeja Ranade, Prathyusha Senthil Kumar, Yu Sun, Joy Zhang. 1159-1160 [doi]
• The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021)Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen 0017, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong. 1161-1162 [doi]
• Overview of the Supporting and Understanding of Conversational Dialogues (SUD) WorkshopDebasis Ganguly, Manisha Verma, Procheta Sen, Dipasree Pal, Gareth J. F. Jones. 1163-1164 [doi]
• L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the WebDanilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack. 1165-1166 [doi]