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ORCID30th WWW 2021: Virtual Event / Ljubljana, Slovenia
- Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia:
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2 2021, ISBN 978-1-4503-8312-7
Session: Online Markets
- Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu:
REST: Relational Event-driven Stock Trend Forecasting. 1-10 - Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading. 11-22 - Friedhelm Victor
, Andrea Marie Weintraud:
Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges. 23-32 - Lei Wu, Yufeng Hu, Yajin Zhou, Haoyu Wang, Xiapu Luo, Zhi Wang, Fan Zhang, Kui Ren:
Towards Understanding and Demystifying Bitcoin Mixing Services. 33-44 - Kyle Soska, Jin-Dong Dong, Alex Khodaverdian, Ariel Zetlin-Jones, Bryan R. Routledge, Nicolas Christin:
Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX. 45-57
Session: Security
- Penghui Li, Wei Meng, Kangjie Lu, Changhua Luo:
On the Feasibility of Automated Built-in Function Modeling for PHP Symbolic Execution. 58-69 - Hyunwoo Lee, Doowon Kim, Yonghwi Kwon:
TLS 1.3 in Practice: How TLS 1.3 Contributes to the Internet. 70-79 - Jordan Jueckstock, Shaown Sarker, Peter Snyder, Aidan Beggs, Panagiotis Papadopoulos, Matteo Varvello, Benjamin Livshits, Alexandros Kapravelos:
Towards Realistic and ReproducibleWeb Crawl Measurements. 80-91 - Hyejin Shin, WooChul Shim, Saebom Kim, Sol Lee, Yong Goo Kang, Yong Ho Hwang:
#Twiti: Social Listening for Threat Intelligence. 92-104 - Guannan Liu, Xing Gao, Haining Wang:
An Investigation of Identity-Account Inconsistency in Single Sign-On. 105-117
Session: Learn to Rank
- Sebastian Bruch:
An Alternative Cross Entropy Loss for Learning-to-Rank. 118-126 - Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky:
Diversification-Aware Learning to Rank using Distributed Representation. 127-136 - Tao Yang, Qingyao Ai:
Maximizing Marginal Fairness for Dynamic Learning to Rank. 137-145 - Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang:
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. 146-157 - Harrie Oosterhuis, Maarten de Rijke:
Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank. 158-170
Session: Digital Health
- Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. 171-182 - Yujie Feng, Jiangtao Wang, Yasha Wang, Sumi Helal:
Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations. 183-193 - Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff:
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach. 194-205 - Sebastian Cross, Ahmed Mourad, Guido Zuccon, Bevan Koopman:
Search Engines vs. Symptom Checkers: A Comparison of their Effectiveness for Online Health Advice. 206-216 - Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. 217-226
Session: Search
- Yusi Zhang, Chuanjie Liu, Angen Luo, Hui Xue, Xuan Shan, Yuxiang Luo, Yiqian Xia, Yuanchi Yan, Haidong Wang:
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks. 227-238 - Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, Maarten de Rijke:
Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. 239-248 - Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West:
On the Value of Wikipedia as a Gateway to the Web. 249-260 - Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma:
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering. 261-269 - Ruizhe Zhang, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Constructing a Comparison-based Click Model for Web Search. 270-283
Session: Systems and Infrastructure
- Jia Zhang, Enhuan Dong, Zili Meng, Yuan Yang, Mingwei Xu, Sijie Yang, Miao Zhang, Yang Yue:
WiseTrans: Adaptive Transport Protocol Selection for Mobile Web Service. 284-294 - Lorenzo Corneo, Maximilian Eder, Nitinder Mohan, Aleksandr Zavodovski, Suzan Bayhan, Walter Wong, Per Gunningberg, Jussi Kangasharju, Jörg Ott:
Surrounded by the Clouds: A Comprehensive Cloud Reachability Study. 295-304 - Conor Kelton, Matteo Varvello, Andrius Aucinas, Ben Livshits:
BrowseLite: A Private Data Saving Solution for the Web. 305-316 - Hamed Rezaei, Balajee Vamanan:
Superways: A Datacenter Topology for Incast-heavy workloads. 317-328 - Santiago Vargas, Rebecca Drucker, Aiswarya Renganathan, Aruna Balasubramanian, Anshul Gandhi:
BBR Bufferbloat in DASH Video. 329-341
Session: Graph Models
- Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie:
Graph Structure Estimation Neural Networks. 342-353 - Zitan Sun, Xin Huang, Jianliang Xu, Francesco Bonchi:
Efficient Probabilistic Truss Indexing on Uncertain Graphs. 354-366 - Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis. 367-378 - Ahmet Erdem Sariyüce:
Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks. 379-390 - Di Jin, Cuiying Huo, Chundong Liang, Liang Yang:
Heterogeneous Graph Neural Network via Attribute Completion. 391-400
Session: Recommendations
- Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. 401-412 - Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang:
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. 413-424 - Xu Chen, Yali Du, Long Xia, Jun Wang:
Reinforcement Recommendation with User Multi-aspect Preference. 425-435 - Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang:
Variation Control and Evaluation for Generative Slate Recommendations. 436-448 - Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding:
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. 449-459
Session: Networks, Access and Content Quality
- Antonis Papasavva, Jeremy Blackburn, Gianluca Stringhini, Savvas Zannettou, Emiliano De Cristofaro:
"Is it a Qoincidence?": An Exploratory Study of QAnon on Voat. 460-471 - Zachary Weinberg, Diogo Barradas, Nicolas Christin:
Chinese Wall or Swiss Cheese? Keyword filtering in the Great Firewall of China. 472-483 - Lin Jin, Shuai Hao, Haining Wang, Chase Cotton:
Understanding the Impact of Encrypted DNS on Internet Censorship. 484-495 - Suyu Ge, Lu Cheng, Huan Liu:
Improving Cyberbullying Detection with User Interaction. 496-506 - Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu:
IFSpard: An Information Fusion-based Framework for Spam Review Detection. 507-517
Session: Sentiment
- Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth A. Loparo, Liang Zhao:
Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. 518-528 - Prashanth Vijayaraghavan, Deb Roy:
Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking. 529-540 - Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer:
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. 541-552 - Hao Fei, Yafeng Ren, Shengqiong Wu, Bobo Li, Donghong Ji:
Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective. 553-564 - Mohammadzaman Zamani, H. Andrew Schwartz:
Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary. 565-574
Session: User Modeling
- Jan Van Balen, Bart Goethals:
High-dimensional Sparse Embeddings for Collaborative Filtering. 575-581 - Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong:
Sinkhorn Collaborative Filtering. 582-592 - Jianing Sun, Zhaoyue Cheng, Saba Zuberi, Felipe Pérez, Maksims Volkovs:
HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering. 593-601 - Keith M. Davis III, Michiel M. A. Spapé, Tuukka Ruotsalo:
Collaborative Filtering with Preferences Inferred from Brain Signals. 602-611 - Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong:
Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective. 612-623
Session: Bias and Fairness
- Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang:
User-oriented Fairness in Recommendation. 624-632 - Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu:
Mitigating Gender Bias in Captioning Systems. 633-645 - Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi, Abhijnan Chakraborty:
Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding. 646-657 - Ziwei Gu, Jing Nathan Yan, Jeffrey M. Rzeszotarski:
Understanding User Sensemaking in Machine Learning Fairness Assessment Systems. 658-668 - Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali, Ahmed Taha Elthakeb, Dean M. Tullsen, Hadi Esmaeilzadeh:
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy. 669-680
Session: Models for networks and dynamics
- Matteo Almanza, Silvio Lattanzi, Alessandro Panconesi, Giuseppe Re:
Twin Peaks, a Model for Recurring Cascades. 681-692 - Yanbang Wang, Pan Li, Chongyang Bai, Jure Leskovec:
TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks. 693-705 - Maximilian Nickel, Matthew Le:
Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes. 706-717 - Giselle Zeno, Timothy La Fond, Jennifer Neville:
DYMOND: DYnamic MOtif-NoDes Network Generative Model. 718-729 - Alasdair Tran, Alexander Patrick Mathews, Cheng Soon Ong, Lexing Xie:
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series. 730-742
Session: Web Mining for Search
- Jia Chen, Jiaxin Mao, Yiqun Liu, Fan Zhang, Min Zhang, Shaoping Ma:
Towards a Better Understanding of Query Reformulation Behavior in Web Search. 743-755 - Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He:
Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. 756-767 - Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. 768-777 - Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang:
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval. 778-787 - Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen:
Cross-Positional Attention for Debiasing Clicks. 788-797
Session: Entity Linking and Knowledge Graph Completion
- Daniel Daza, Michael Cochez, Paul Groth:
Inductive Entity Representations from Text via Link Prediction. 798-808 - Sudhanshu Tiwari, Iti Bansal, Carlos R. Rivero:
Revisiting the Evaluation Protocol of Knowledge Graph Completion Methods for Link Prediction. 809-820 - Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan:
Boosting the Speed of Entity Alignment 10 ×: Dual Attention Matching Network with Normalized Hard Sample Mining. 821-832 - George Papadakis, Georgios M. Mandilaras, Nikos Mamoulis, Manolis Koubarakis:
Progressive, Holistic Geospatial Interlinking. 833-844 - Paolo Rosso, Dingqi Yang, Natalia Ostapuk, Philippe Cudré-Mauroux:
RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs. 845-856
Session: Recommendations
- Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang:
A Recommender System for Crowdsourcing Food Rescue Platforms. 857-865 - Shengnan Lyu, Arpit Rana, Scott Sanner, Mohamed Reda Bouadjenek:
A Workflow Analysis of Context-driven Conversational Recommendation. 866-877 - Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. 878-887 - Xing Zhao, Ziwei Zhu, James Caverlee:
Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests. 888-899 - Jialiang Han, Yun Ma, Qiaozhu Mei, Xuanzhe Liu:
DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. 900-911
Session: Federated Learning
- Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang:
Meta-HAR: Federated Representation Learning for Human Activity Recognition. 912-922 - Bingyan Liu, Yao Guo, Xiangqun Chen:
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization. 923-934 - Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu:
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. 935-946 - Jingwen Zhang, Yuezhou Wu, Rong Pan:
Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction. 947-956 - Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Hierarchical Personalized Federated Learning for User Modeling. 957-968
Session: Security
- Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu:
Data Poisoning Attacks and Defenses to Crowdsourcing Systems. 969-980 - Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath:
Deepfake Videos in the Wild: Analysis and Detection. 981-992 - Tianhao Wang, Florian Kerschbaum:
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks. 993-1004 - Anil Yelam, Shibani Subbareddy, Keerthana Ganesan, Stefan Savage, Ariana Mirian:
CoResident Evil: Covert Communication In The Cloud With Lambdas. 1005-1016 - Hao Wu, Xuejin Tian, Yuhang Gong, Xing Su, Minghao Li, Fengyuan Xu:
DAPter: Preventing User Data Abuse in Deep Learning Inference Services. 1017-1028
Session: Information retrieval
- Puxuan Yu, Hongliang Fei, Ping Li:
Cross-lingual Language Model Pretraining for Retrieval. 1029-1039 - Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang:
Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. 1040-1052 - Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Linguistic Study on Relevance Modeling in Information Retrieval. 1053-1064 - Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. 1065-1075 - Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang:
Pivot-based Candidate Retrieval for Cross-lingual Entity Linking. 1076-1085
Session: Online Conversations
- Martin Saveski, Brandon Roy, Deb Roy:
The Structure of Toxic Conversations on Twitter. 1086-1097 - Andreas Spitz, Ahmad Abu-Akel, Robert West:
Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial. 1098-1109 - Punyajoy Saha, Binny Mathew, Kiran Garimella, Animesh Mukherjee:
"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups. 1110-1121 - Fatemeh Tahmasbi, Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou:
"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19. 1122-1133 - Jiajun Bao, Junjie Wu, Yiming Zhang, Eshwar Chandrasekharan, David Jurgens:
Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations. 1134-1145
Session: Systems and Infrastructure
- Patara Trirat, Jae-Gil Lee:
DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior. 1146-1156 - Alexander Yu, Theophilus A. Benson:
Dissecting Performance of Production QUIC. 1157-1168 - Yongqiang Liu, Xike Xie:
XY-Sketch: on Sketching Data Streams at Web Scale. 1169-1180 - Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang:
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. 1181-1191 - Paul Murley, Zane Ma, Joshua Mason, Michael D. Bailey, Amin Kharraz:
WebSocket Adoption and the Landscape of the Real-Time Web. 1192-1203
Session: Graph Models
- Qingqing Long, Yilun Jin, Yi Wu, Guojie Song:
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. 1204-1214 - Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui:
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. 1215-1226 - Cheng Yang, Jiawei Liu, Chuan Shi:
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. 1227-1237 - Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
CurGraph: Curriculum Learning for Graph Classification. 1238-1248 - Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song:
Lorentzian Graph Convolutional Networks. 1249-1261
Session: Recommendations
- Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. 1262-1273 - Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu:
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. 1274-1283 - Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. 1284-1295 - Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie:
Interest-aware Message-Passing GCN for Recommendation. 1296-1305 - Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang:
Task-adaptive Neural Process for User Cold-Start Recommendation. 1306-1316
Session: Sampling
- Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao:
Consistent Sampling Through Extremal Process. 1317-1327 - Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li:
Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network. 1328-1339 - Yanhao Wang, Francesco Fabbri, Michael Mathioudakis:
Fair and Representative Subset Selection from Data Streams. 1340-1350 - Zhuoyi Wang, Yuqiao Chen, Chen Zhao, Yu Lin, Xujiang Zhao, Hemeng Tao, Yigong Wang, Latifur Khan:
CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining. 1351-1362