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ORCID31st WWW 2022: Virtual Event / Lyon, France
- Frédérique Laforest, Raphaël Troncy, Elena Simperl, Deepak Agarwal, Aristides Gionis, Ivan Herman
, Lionel Médini:
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022. ACM 2022, ISBN 978-1-4503-9096-5
Session 1 - Keynote Talks
- Prabhakar Raghavan:
Search Engines: From the Lab to the Engine Room, and Back: Keynote Talk. 1 - Jaime Teevan:
How the Web Will Shape the Hybrid Work Era: Keynote Talk. 2 - Virginia Dignum:
Responsible AI: From Principles To Action: Keynote Talk. 3
Session 2 - Research Track: Economics, Monetization, and Online Markets
- Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu:
Regulatory Instruments for Fair Personalized Pricing. 4-15 - Marios Papachristou, Jon M. Kleinberg:
Allocating Stimulus Checks in Times of Crisis. 16-26 - Xiaoxiao Xu, Chen Yang, Qian Yu, Zhiwei Fang, Jiaxing Wang, Chaosheng Fan, Yang He, Changping Peng, Zhangang Lin, Jingping Shao:
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework. 27-35 - Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu:
BONUS! Maximizing Surprise. 36-46 - Dirk Bergemann, Paul Dütting, Renato Paes Leme, Song Zuo:
Calibrated Click-Through Auctions. 47-57 - Johannes Brustle, Paul Dütting, Balasubramanian Sivan:
Price Manipulability in First-Price Auctions. 58-67 - Hadi Elzayn, Riccardo Colini-Baldeschi, Brian Lan, Okke Schrijvers:
Equilibria in Auctions with Ad Types. 68-78 - Moshe Babaioff, Yoav Kolumbus, Eyal Winter:
Optimal Collaterals in Multi-Enterprise Investment Networks. 79-89 - Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu:
On Designing a Two-stage Auction for Online Advertising. 90-99 - Yoav Kolumbus, Noam Nisan:
Auctions between Regret-Minimizing Agents. 100-111 - Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian:
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. 112-121 - Bo Li, Yingkai Li, Xiaowei Wu:
Almost (Weighted) Proportional Allocations for Indivisible Chores✱✱. 122-131 - Hamidreza Badri, Allen Tran:
Beyond Customer Lifetime Valuation: Measuring the Value of Acquisition and Retention for Subscription Services. 132-140 - Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng:
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. 141-150 - Moshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins, Sam Chiu-wai Wong:
Truthful Online Scheduling of Cloud Workloads under Uncertainty. 151-161 - Andrea Celli, Riccardo Colini-Baldeschi, Christian Kroer, Eric Sodomka:
The Parity Ray Regularizer for Pacing in Auction Markets. 162-172 - Aranyak Mehta:
Auction Design in an Auto-bidding Setting: Randomization Improves Efficiency Beyond VCG. 173-181 - Hannah Li, Geng Zhao, Ramesh Johari, Gabriel Y. Weintraub:
Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms. 182-192
Session 3 - Research Track: Search
- Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao:
Learning Explicit User Interest Boundary for Recommendation. 193-202 - Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang:
Modeling User Behavior with Graph Convolution for Personalized Product Search. 203-212 - Junqi Zhang, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma, Qi Tian:
Global or Local: Constructing Personalized Click Models for Web Search. 213-223 - Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen:
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. 224-233 - Weiren Yu, Jian Yang, Maoyin Zhang, Di Wu:
CoSimHeat: An Effective Heat Kernel Similarity Measure Based on Billion-Scale Network Topology✱. 234-245 - Kaifu Zheng, Lu Wang, Yu Li, Xusong Chen, Hu Liu, Jing Lu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao:
Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads. 246-255 - Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He:
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search. 256-265 - Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking using Forward Indexes. 266-276 - Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou:
A Gain-Tuning Dynamic Negative Sampler for Recommendation. 277-285 - Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. 286-296 - Jie Li, Yongli Ren, Ke Deng:
FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback. 297-307 - Renchi Yang:
Efficient and Effective Similarity Search over Bipartite Graphs. 308-318 - Kevin Roitero, Alessandro Checco, Stefano Mizzaro, Gianluca Demartini:
Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments. 319-327 - Yi Su, Magd Bayoumi, Thorsten Joachims:
Optimizing Rankings for Recommendation in Matching Markets. 328-338 - Yujia Zhou, Zhicheng Dou, Huaying Yuan, Zhengyi Ma:
Socialformer: Social Network Inspired Long Document Modeling for Document Ranking. 339-347 - Haoyu Pang, Fausto Giunchiglia, Ximing Li, Renchu Guan, Xiaoyue Feng:
PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation. 348-359 - Jiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen:
A Category-aware Multi-interest Model for Personalized Product Search. 360-368 - Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng:
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. 369-379 - Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuesong Chen, Min Zhang, Shaoping Ma:
Towards a Better Understanding of Human Reading Comprehension with Brain Signals. 380-391 - Pooya Khandel, Ilya Markov, Andrew Yates, Ana Lucia Varbanescu:
ParClick: A Scalable Algorithm for EM-based Click Models. 392-400 - Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed. 401-409 - Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang:
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. 410-421 - Qijie Shen, Hong Wen, Wanjie Tao, Jing Zhang, Fuyu Lv, Zulong Chen, Zhao Li:
Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation. 422-430 - Yiling Jia, Hongning Wang:
Learning Neural Ranking Models Online from Implicit User Feedback. 431-441 - Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin:
StruBERT: Structure-aware BERT for Table Search and Matching. 442-451 - Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. 452-461 - Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher:
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. 462-472 - Lang Mei, Jiaxin Mao, Gang Guo, Ji-Rong Wen:
Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. 473-482 - Canzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li:
Knowledge-aware Conversational Preference Elicitation with Bandit Feedback. 483-492 - Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang:
A Multi-task Learning Framework for Product Ranking with BERT. 493-501 - Euna Jung, Jaekeol Choi, Wonjong Rhee:
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning. 502-511
Session 4 - Research Track: Security, Privacy, and Trust
- Shahroz Tariq, Sowon Jeon, Simon S. Woo:
Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack. 512-523 - Wei Xie, Jiongyi Chen, Zhenhua Wang, Chao Feng, Enze Wang, Yifei Gao, Baosheng Wang, Kai Lu:
Game of Hide-and-Seek: Exposing Hidden Interfaces in Embedded Web Applications of IoT Devices. 524-532 - Nurullah Demir, Matteo Große-Kampmann, Tobias Urban, Christian Wressnegger, Thorsten Holz, Norbert Pohlmann:
Reproducibility and Replicability of Web Measurement Studies. 533-544 - Thai Le, Long Tran-Thanh, Dongwon Lee:
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. 545-554 - Dhruv Kuchhal, Frank Li:
A View into YouTube View Fraud. 555-563 - Nayanamana Samarasinghe, Aashish Adhikari, Mohammad Mannan, Amr M. Youssef:
Et tu, Brute? Privacy Analysis of Government Websites and Mobile Apps. 564-575 - Su-Chin Lin, Kai-Hsiang Chou, Yen Chen, Hsu-Chun Hsiao, Darion Cassel, Lujo Bauer, Limin Jia:
Investigating Advertisers' Domain-changing Behaviors and Their Impacts on Ad-blocker Filter Lists. 576-587 - Xingzhi Guo, Brian Kondracki, Nick Nikiforakis, Steven Skiena:
Verba Volant, Scripta Volant: Understanding Post-publication Title Changes in News Outlets. 588-598 - Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang:
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy. 599-609 - Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi:
MemStream: Memory-Based Streaming Anomaly Detection. 610-621 - Junxiao Wang, Song Guo, Xin Xie, Heng Qi:
Federated Unlearning via Class-Discriminative Pruning. 622-632 - Xinjie Lin, Gang Xiong, Gaopeng Gou, Zhen Li, Junzheng Shi, Jing Yu:
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification. 633-642 - Nicolas Tempelmeier, Elena Demidova:
Attention-Based Vandalism Detection in OpenStreetMap. 643-651 - Zhensu Sun, Xiaoning Du, Fu Song, Mingze Ni, Li Li:
CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning. 652-660 - Sijia Li, Gaopeng Gou, Chang Liu, Chengshang Hou, Zhenzhen Li, Gang Xiong:
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection. 661-669 - Jide S. Edu, Xavier Ferrer Aran, Jose M. Such, Guillermo Suarez-Tangil:
Measuring Alexa Skill Privacy Practices across Three Years. 670-680 - Chenkai Wang, Gang Wang:
Revisiting Email Forwarding Security under the Authenticated Received Chain Protocol. 681-689 - Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee:
ALLIE: Active Learning on Large-scale Imbalanced Graphs. 690-698 - Ziyi Zhang, Shuofei Zhu, Jaron Mink, Aiping Xiong, Linhai Song, Gang Wang:
Beyond Bot Detection: Combating Fraudulent Online Survey Takers✱. 699-709 - Jordan Jueckstock, Peter Snyder, Shaown Sarker, Alexandros Kapravelos, Benjamin Livshits:
Measuring the Privacy vs. Compatibility Trade-off in Preventing Third-Party Stateful Tracking. 710-720 - Benjamin Weggenmann, Valentin Rublack, Michael Andrejczuk, Justus Mattern, Florian Kerschbaum:
DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational Autoencoders. 721-731 - Xue Yang, Yan Feng, Weijun Fang, Jun Shao, Xiaohu Tang, Shu-Tao Xia, Rongxing Lu:
An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning. 732-742 - Soyoung Lee, Seongil Wi, Sooel Son:
Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement Learning. 743-754 - Seongil Wi, Sijae Woo, Joyce Jiyoung Whang, Sooel Son:
HiddenCPG: Large-Scale Vulnerable Clone Detection Using Subgraph Isomorphism of Code Property Graphs. 755-766 - Xin Tan, Yuan Zhang, Jiajun Cao, Kun Sun, Mi Zhang, Min Yang:
Understanding the Practice of Security Patch Management across Multiple Branches in OSS Projects. 767-777
Session 5 - Research Track: Semantics and Knowledge
- Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen:
Ontology-enhanced Prompt-tuning for Few-shot Learning. 778-787 - Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann:
Time-aware Entity Alignment using Temporal Relational Attention. 788-797 - Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu:
Rethinking Graph Convolutional Networks in Knowledge Graph Completion. 798-807 - Yue Xiang, Xuan Wu, Chang Lu, Yizheng Zhao:
Creating Signature-Based Views for Description Logic Ontologies with Transitivity and Qualified Number Restrictions. 808-817 - Stefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
EvoLearner: Learning Description Logics with Evolutionary Algorithms. 818-828 - Jia Li, Dandan Song:
Uncertainty-aware Pseudo Label Refinery for Entity Alignment. 829-837 - Kai Wang, Yu Liu, Quan Z. Sheng:
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. 838-849 - Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang:
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. 850-859 - Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. 860-870 - Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. 871-881 - Shahin Sharifi Noorian, Sihang Qiu, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon:
What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition. 882-892 - Vinh Thinh Ho, Daria Stepanova, Dragan Milchevski, Jannik Strötgen, Gerhard Weikum:
Enhancing Knowledge Bases with Quantity Facts. 893-901 - Ehsan Hamzei, Martin Tomko, Stephan Winter:
Translating Place-Related Questions to GeoSPARQL Queries. 902-911 - Yongqi Zhang, Quanming Yao:
Knowledge Graph Reasoning with Relational Digraph. 912-924 - Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. 925-934 - Rui Wu, Zhaopeng Qiu, Jiacheng Jiang, Guilin Qi, Xian Wu:
Conditional Generation Net for Medication Recommendation. 935-945 - Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang:
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. 946-955 - Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren:
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data. 956-965 - Isaac Alpizar Chacon, Sergey A. Sosnovsky:
What's in an Index: Extracting Domain-specific Knowledge Graphs from Textbooks. 966-976 - Aleksandr Perevalov, Andreas Both, Dennis Diefenbach, Axel-Cyrille Ngonga Ngomo:
Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs? 977-986 - Sk Mainul Islam, Sourangshu Bhattacharya:
AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations. 987-998 - Weiqi Sun, Haidar Khan, Nicolas Guenon des Mesnards, Melanie Rubino, Konstantine Arkoudas:
Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models. 999-1007 - Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu:
QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations. 1008-1017 - Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang:
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. 1018-1027 - Tianxiang Zhao, Xiang Zhang, Suhang Wang:
Exploring Edge Disentanglement for Node Classification. 1028-1036 - Vinh Nguyen, Hong Yung Yip, Goonmeet Bajaj, Thilini Wijesiriwardene, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus. 1037-1046 - Lars Heling, Maribel Acosta:
Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments. 1047-1057
Session 6 - Research Track: Social Network Analysis and Graph Algorithms
- Junxiang Wang, Junji Jiang, Liang Zhao:
An Invertible Graph Diffusion Neural Network for Source Localization. 1058-1069 - Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li:
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. 1070-1079 - Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin:
MiDaS: Representative Sampling from Real-world Hypergraphs. 1080-1092 - Suman K. Bera, Sayan Bhattacharya, Jayesh Choudhari, Prantar Ghosh:
A New Dynamic Algorithm for Densest Subhypergraphs. 1093-1103 - Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang:
Graph Alignment with Noisy Supervision. 1104-1114 - Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. 1115-1126 - Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He:
Graph Neural Networks Beyond Compromise Between Attribute and Topology. 1127-1135 - Zhe Xu, Boxin Du, Hanghang Tong:
Graph Sanitation with Application to Node Classification. 1136-1147 - Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou:
Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. 1148-1158 - Zhihao Wen, Yuan Fang:
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. 1159-1169 - Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Sanglu Lu:
Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling. 1170-1180 - Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen:
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. 1181-1190 - Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang:
Lightning Fast and Space Efficient k-clique Counting. 1191-1202 - Bolian Li, Baoyu Jing, Hanghang Tong:
Graph Communal Contrastive Learning. 1203-1213 - Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong:
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. 1214-1225 - Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu:
Geometric Graph Representation Learning via Maximizing Rate Reduction. 1226-1237 - Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. 1238-1247 - Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. 1248-1258 - Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li:
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. 1259-1269 - Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang:
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. 1270-1280 - Jaemin Yoo, Sooyeon Shim, U Kang:
Model-Agnostic Augmentation for Accurate Graph Classification. 1281-1291 - Jie Cai, Xin Wang, Chaoyu Guan, Yateng Tang, Jin Xu, Bin Zhong, Wenwu Zhu:
Multimodal Continual Graph Learning with Neural Architecture Search. 1292-1300 - Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han:
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. 1301-1310 - Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He:
AUC-oriented Graph Neural Network for Fraud Detection. 1311-1321 - Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu:
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. 1322-1330 - Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. 1331-1339 - Yunyu Liu, Jianzhu Ma, Pan Li:
Neural Predicting Higher-order Patterns in Temporal Networks. 1340-1351 - Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang:
Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. 1352-1361 - Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. 1362-1371 - Zhen Wang, Dongpeng Hou, Chao Gao, Jiajin Huang, Qi Xuan:
A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation. 1372-1380 - Lanning Wei, Huan Zhao, Zhiqiang He:
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. 1381-1391 - Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. 1392-1403 - Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang:
Polarized Graph Neural Networks. 1404-1413 - Suman K. Bera, Syamantak Das, Sainyam Galhotra, Sagar Sudhir Kale:
Fair k-Center Clustering in MapReduce and Streaming Settings. 1414-1422 - Nan Wang, Lu Lin, Jundong Li, Hongning Wang:
Unbiased Graph Embedding with Biased Graph Observations. 1423-1433 - Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du:
Prohibited Item Detection via Risk Graph Structure Learning. 1434-1443 - Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
FreSCo: Mining Frequent Patterns in Simplicial Complexes. 1444-1454 - Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang:
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. 1455-1465 - Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang:
Inflation Improves Graph Neural Networks. 1466-1474 - Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan A. Velimsky, Robert Elsässer, Bernhard C. Geiger:
Generating Simple Directed Social Network Graphs for Information Spreading. 1475-1485 - Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu:
H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. 1486-1494 - Muyi Liu, Pan Li:
SATMargin: Practical Maximal Frequent Subgraph Mining via Margin Space Sampling. 1495-1505 - Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun:
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. 1506-1516 - Zhengren Wang, Yi Zhou, Mingyu Xiao, Bakhadyr Khoussainov:
Listing Maximal k-Plexes in Large Real-World Graphs. 1517-1527 - Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. 1528-1537 - Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra:
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. 1538-1549 - Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang:
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. 1550-1558 - Luka V. Petrovic, Ingo Scholtes:
Learning the Markov Order of Paths in Graphs. 1559-1569 - Sijing Tu, Stefan Neumann:
A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks. 1570-1578 - Diego Santoro, Ilie Sarpe:
ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks. 1579-1588 - Farnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan:
FirmCore Decomposition of Multilayer Networks. 1589-1600 - Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi:
Compact Graph Structure Learning via Mutual Information Compression. 1601-1610 - Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li, Hong Chen:
ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs. 1611-1621 - Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang:
Graph Neural Network for Higher-Order Dependency Networks. 1622-1630 - Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen:
Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. 1631-1639 - Lutz Oettershagen, Petra Mutzel, Nils M. Kriege:
Temporal Walk Centrality: Ranking Nodes in Evolving Networks. 1640-1650 - Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu:
Dual-branch Density Ratio Estimation for Signed Network Embedding. 1651-1662
Session 7 - Research Track: Social Web
- Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong:
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. 1663-1672 - Abraham Israeli, Alexander Kremiansky, Oren Tsur:
This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaign. 1673-1684 - Xiaoni Duan, Chien-Ju Ho, Ming Yin:
The Influences of Task Design on Crowdsourced Judgement: A Case Study of Recidivism Risk Evaluation. 1685-1696 - Xinru Wang, Zhuoran Lu, Ming Yin:
Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making. 1697-1708 - Agathe Balayn, Gaole He, Andrea Hu, Jie Yang, Ujwal Gadiraju:
Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. 1709-1719 - Alexander Braylan, Omar Alonso, Matthew Lease:
Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks. 1720-1730 - Eun-Young Ko, Eunseo Choi, Jeong-woo Jang, Juho Kim:
Capturing Diverse and Precise Reactions to a Comment with User-Generated Labels. 1731-1740
Session 8 - Research Track: Systems and Infrastructure
- Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park:
Accelerating Serverless Computing by Harvesting Idle Resources. 1741-1751 - Tong Yang, Jizhou Li, Yikai Zhao, Kaicheng Yang, Hao Wang, Jie Jiang, Yinda Zhang, Nicholas Zhang:
QCluster: Clustering Packets for Flow Scheduling. 1752-1763 - Ting Liu, Tianhao Miao, Qinghua Wu, Zhenyu Li, Guangxin He, Jiaoren Wu, Shengzhuo Zhang, Xingwu Yang, Gareth Tyson, Gaogang Xie:
Modeling and Optimizing the Scaling Performance in Distributed Deep Learning Training. 1764-1773 - Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, Xu Chen:
Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing. 1774-1784 - Shenglin Zhang, Dongwen Li, Zhenyu Zhong, Jun Zhu, Minghan Liang, Jiexi Luo, Yongqian Sun, Ya Su, Sibo Xia, Zhongyou Hu, Yuzhi Zhang, Dan Pei, Jiyan Sun, Yinlong Liu:
Robust System Instance Clustering for Large-Scale Web Services. 1785-1796 - Tao Huang, Pengfei Chen, Ruipeng Li:
A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems. 1797-1806 - Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du, Xipeng Shen:
DREW: Efficient Winograd CNN Inference with Deep Reuse. 1807-1816 - Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. 1817-1828 - Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue:
TRACE: A Fast Transformer-based General-Purpose Lossless Compressor. 1829-1838 - Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao:
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. 1839-1850 - Yun-Yong Ko, Dongwon Lee, Sang-Wook Kim:
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training. 1851-1859 - Qiang He, Zeqian Dong, Feifei Chen, Shuiguang Deng, Weifa Liang, Yun Yang:
Pyramid: Enabling Hierarchical Neural Networks with Edge Computing. 1860-1870 - Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao, Gang Chen:
A Sampling-based Learning Framework for Big Databases. 1871-1881 - Medha Atre:
The Case of SPARQL UNION, FILTER and DISTINCT. 1882-1892 - Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniParser: A Unified Log Parser for Heterogeneous Log Data. 1893-1901
Session 9 - Research Track: User Modeling, Personalization and Accessibility
- Le Yu, Guanghui Wu, Leilei Sun, Bowen Du, Weifeng Lv:
Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction. 1902-1913 - Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain:
Hypercomplex Graph Collaborative Filtering. 1914-1922 - Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen:
Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. 1923-1932 - Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Outlier Detection for Streaming Task Assignment in Crowdsourcing. 1933-1943 - Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. 1944-1954 - Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang:
Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. 1955-1964 - Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu:
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. 1965-1976 - Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu:
AutoField: Automating Feature Selection in Deep Recommender Systems. 1977-1986 - Soumi Chattopadhyay, Richik Chanda, Suraj Kumar, Chandranath Adak:
OffDQ: An Offline Deep Learning Framework for QoS Prediction. 1987-1996 - Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen:
Learning Recommenders for Implicit Feedback with Importance Resampling. 1997-2005 - Jarana Manotumruksa, Jeffrey Dalton, Edgar Meij, Emine Yilmaz:
Similarity-based Multi-Domain Dialogue State Tracking with Copy Mechanisms for Task-based Virtual Personal Assistants. 2006-2014 - Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He:
Learning Robust Recommenders through Cross-Model Agreement. 2015-2025 - Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang:
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. 2026-2035 - Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu:
Sequential Recommendation via Stochastic Self-Attention. 2036-2047 - Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng:
Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. 2048-2057 - Teng-Yue Han, Pengfei Wang, Shaozhang Niu, Chenliang Li:
Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. 2058-2066 - Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li:
MINDSim: User Simulator for News Recommenders. 2067-2077 - Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng:
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. 2078-2087 - Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie:
FeedRec: News Feed Recommendation with Various User Feedbacks. 2088-2097 - Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie:
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. 2098-2108 - Antoine Gourru, Julien Velcin, Christophe Gravier, Julien Jacques:
Dynamic Gaussian Embedding of Authors. 2109-2119 - Chunyu Wei, Bing Bai, Kun Bai, Fei Wang:
GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction. 2120-2130 - Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang:
Towards a Multi-View Attentive Matching for Personalized Expert Finding. 2131-2140 - Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang:
Deep Unified Representation for Heterogeneous Recommendation. 2141-2152 - Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. 2153-2162 - Peng Wang, Renqin Cai, Hongning Wang:
Graph-based Extractive Explainer for Recommendations. 2163-2171 - Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. 2172-2182 - Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen:
Learning to Augment for Casual User Recommendation. 2183-2194 - Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen:
Unbiased Sequential Recommendation with Latent Confounders. 2195-2204 - Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee:
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. 2205-2215 - Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. 2216-2226 - Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu:
Generative Session-based Recommendation. 2227-2235 - Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng:
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. 2236-2246 - Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan:
Adaptive Experimentation with Delayed Binary Feedback. 2247-2255 - Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Disentangling Long and Short-Term Interests for Recommendation. 2256-2267 - Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong:
CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱. 2268-2276 - Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang:
Meta-Learning Helps Personalized Product Search. 2277-2287 - Kun Lin, Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen:
Sequential Recommendation with Decomposed Item Feature Routing. 2288-2297 - Maximilian Boeker, Aleksandra Urman:
An Empirical Investigation of Personalization Factors on TikTok. 2298-2309 - Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang:
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. 2310-2319 - Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao:
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. 2320-2329 - Wonsung Lee, Jaeyoon Chun, Youngmin Lee, Kyoungsoo Park, Sungrae Park:
Contrastive Learning for Knowledge Tracing. 2330-2338 - Zhaolin Gao, Zhaoyue Cheng, Felipe Pérez, Jianing Sun, Maksims Volkovs:
MCL: Mixed-Centric Loss for Collaborative Filtering. 2339-2347 - Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Off-policy Learning over Heterogeneous Information for Recommendation. 2348-2359 - Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu:
FIRE: Fast Incremental Recommendation with Graph Signal Processing. 2360-2369 - Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang:
Cross Pairwise Ranking for Unbiased Item Recommendation. 2370-2378 - Yaochen Zhu, Zhenzhong Chen:
Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems. 2379-2387 - Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. 2388-2399 - Waleed Hashmi, Moumena Chaqfeh, Lakshminarayanan Subramanian, Yasir Zaki:
QLUE: A Computer Vision Tool for Uniform Qualitative Evaluation of Web Pages. 2400-2410 - Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier:
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. 2411-2421 - Tianshu Shen, Zheda Mai, Ga Wu, Scott Sanner:
Distributional Contrastive Embedding for Clarification-based Conversational Critiquing. 2422-2432 - Zahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catherine M. Edwards, Benjamin A. Carterette, Mounia Lalmas:
Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations. 2433-2441 - Pedro Dalla Vecchia Chaves, Bruno L. Pereira, Rodrygo L. T. Santos:
Efficient Online Learning to Rank for Sequential Music Recommendation. 2442-2450 - Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu:
Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data. 2451-2461 - Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King:
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. 2462-2471 - Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang:
Prototype Feature Extraction for Multi-task Learning. 2472-2481 - Yoon-Sik Cho, Min-hwan Oh:
Stochastic-Expert Variational Autoencoder for Collaborative Filtering. 2482-2490
Session 10 - Research Track: Web and Society
- Hassan Iqbal, Usman Mahmood Khan, Hassan Ali Khan, Muhammad Shahzad:
Left or Right: A Peek into the Political Biases in Email Spam Filtering Algorithms During US Election 2020. 2491-2500 - Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang:
Evidence-aware Fake News Detection with Graph Neural Networks. 2501-2510 - Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernández-Lobato, Ting Chen:
BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis. 2511-2521 - Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
Leveraging Google's Publisher-Specific IDs to Detect Website Administration. 2522-2531 - Sachit Mishra, Zbigniew Smoreda, Marco Fiore:
Second-level Digital Divide: A Longitudinal Study of Mobile Traffic Consumption Imbalance in France. 2532-2540 - Orestis Papakyriakopoulos, Ellen P. Goodmann:
The Impact of Twitter Labels on Misinformation Spread and User Engagement: Lessons from Trump's Election Tweets. 2541-2551 - Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. 2552-2562 - Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi:
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. 2563-2572 - Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. 2573-2581 - Pushkal Agarwal, Aravindh Raman, Damilola Ibosiola, Nishanth Sastry, Gareth Tyson, Kiran Garimella:
Jettisoning Junk Messaging in the Era of End-to-End Encryption: A Case Study of WhatsApp. 2582-2591 - Sharon Levy, Robert E. Kraut, Jane A. Yu, Kristen M. Altenburger, Yi-Chia Wang:
Understanding Conflicts in Online Conversations. 2592-2602 - Assem Zhunis, Gabriel Lima, Hyeonho Song, Jiyoung Han, Meeyoung Cha:
Emotion Bubbles: Emotional Composition of Online Discourse Before and After the COVID-19 Outbreak. 2603-2613 - Manoj Niverthi, Gaurav Verma, Srijan Kumar:
Characterizing, Detecting, and Predicting Online Ban Evasion. 2614-2623 - Anjalie Field, Chan Young Park, Kevin Z. Lin, Yulia Tsvetkov:
Controlled Analyses of Social Biases in Wikipedia Bios. 2624-2635 - Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Fei Li, Meihuizi Jia, Jiaqi Li:
EvidenceNet: Evidence Fusion Network for Fact Verification. 2636-2645 - Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly:
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. 2646-2656 - Jiyi Li:
Context-based Collective Preference Aggregation for Prioritizing Crowd Opinions in Social Decision-making. 2657-2667 - Qiurong Song, Jiepu Jiang:
How Misinformation Density Affects Health Information Search. 2668-2677 - Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li:
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. 2678-2686 - Shen Yan, Kristen M. Altenburger, Yi-Chia Wang, Justin Cheng:
What Does Perception Bias on Social Networks Tell Us About Friend Count Satisfaction? 2687-2695 - Melody Sepahpour-Fard, Michael Quayle:
How Do Mothers and Fathers Talk About Parenting to Different Audiences?: Stereotypes and Audience Effects: An Analysis of r/Daddit, r/Mommit, and r/Parenting Using Topic Modelling. 2696-2706 - Cameron Ballard, Ian Goldstein, Pulak Mehta, Genesis Smothers, Kejsi Take, Victoria Zhong, Rachel Greenstadt, Tobias Lauinger, Damon McCoy:
Conspiracy Brokers: Understanding the Monetization of YouTube Conspiracy Theories. 2707-2718 - Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. 2719-2728 - Vibhor Agarwal, Sagar Joglekar, Anthony P. Young, Nishanth Sastry:
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates. 2729-2737
Session 1 - Research Track: Web Mining and Content Analysis
- Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang, Ruifeng Xu:
Zero-Shot Stance Detection via Contrastive Learning. 2738-2747 - Xiaoshi Zhong, Muyin Wang, Hongkun Zhang:
Is Least-Squares Inaccurate in Fitting Power-Law Distributions? The Criticism is Complete Nonsense. 2748-2758 - Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen:
Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering. 2759-2767 - Chong Chen, Fei Sun, Min Zhang, Bolin Ding:
Recommendation Unlearning. 2768-2777 - Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. 2778-2788 - Tiening Sun, Zhong Qian, Sujun Dong, Peifeng Li, Qiaoming Zhu:
Rumor Detection on Social Media with Graph Adversarial Contrastive Learning. 2789-2797 - Christof Naumzik, Stefan Feuerriegel:
Detecting False Rumors from Retweet Dynamics on Social Media. 2798-2809 - Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh:
VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. 2810-2818 - Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. 2819-2829 - Ye Tao, Ying Li, Su Zhang, Zhirong Hou, Zhonghai Wu:
Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network. 2830-2838 - Jin-Uk Cho, Min-Su Jeong, JinYeong Bak, Yun-Gyung Cheong:
Genre-Controllable Story Generation via Supervised Contrastive Learning. 2839-2849 - Maryam Sadat Mirzaei, Kourosh Meshgi, Satoshi Sekine:
Is this Question Real? Dataset Collection on Perceived Intentions and Implicit Attack Detection. 2850-2859 - Fa-Hsuan Hsiao, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Modeling Inter Round Attack of Online Debaters for Winner Prediction. 2860-2869 - Robert Churchill, Lisa Singh, Rebecca Ryan, Pamela Davis-Kean:
A Guided Topic-Noise Model for Short Texts. 2870-2878 - Shisong Tang, Qing Li, Xiaoteng Ma, Ci Gao, Dingmin Wang, Yong Jiang, Qian Ma, Aoyang Zhang, Hechang Chen:
Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction. 2879-2887 - Junho Song, Kyungsik Han, Sang-Wook Kim:
"I Have No Text in My Post": Using Visual Hints to Model User Emotions in Social Media. 2888-2896 - Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Tun Lu, Li Shang:
Cross-modal Ambiguity Learning for Multimodal Fake News Detection. 2897-2905 - Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He:
Contrastive Learning with Positive-Negative Frame Mask for Music Representation. 2906-2915 - Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
CycleNER: An Unsupervised Training Approach for Named Entity Recognition. 2916-2924 - Xin Wang, Lei Cao, Huijun Zhang, Ling Feng, Yang Ding, Ningyun Li:
A Meta-learning based Stress Category Detection Framework on Social Media. 2925-2935 - Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas:
Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing. 2936-2945 - Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue:
Massive Text Normalization via an Efficient Randomized Algorithm. 2946-2956 - Maryam Mousavi, Hasan Davulcu, Mohsen Ahmadi, Robert Axelrod, Richard Davis, Scott Atran:
Effective Messaging on Social Media: What Makes Online Content Go Viral? 2957-2966 - Sungkyu Park, Hyeonho Song, Sungwon Han, Berhane Weldegebriel, Lev Manovich, Emanuele Arielli, Meeyoung Cha:
Using Web Data to Reveal 22-Year History of Sneaker Designs. 2967-2977 - Quoc-Tuan Truong, Tong Zhao, Changhe Yuan, Jin Li, Jim Chan, Soo-Min Pantel, Hady W. Lauw:
AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions. 2978-2988 - Jiaqian Liu, Haipeng Dai, Rui Xia, Meng Li, Ran Ben Basat, Rui Li, Guihai Chen:
DUET: A Generic Framework for Finding Special Quadratic Elements in Data Streams. 2989-2997 - Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng:
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. 2998-3008 - Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei, Ed H. Chi:
Can Small Heads Help? Understanding and Improving Multi-Task Generalization. 3009-3019 - Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu:
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval. 3020-3030 - Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang:
Explainable Neural Rule Learning. 3031-3041 - Hao Fei, Jingye Li, Yafeng Ren, Meishan Zhang, Donghong Ji:
Making Decision like Human: Joint Aspect Category Sentiment Analysis and Rating Prediction with Fine-to-Coarse Reasoning. 3042-3051 - Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Significance and Coverage in Group Testing on the Social Web. 3052-3060 - Pasquale Balsebre, Dezhong Yao, Gao Cong, Zhen Hai:
Geospatial Entity Resolution. 3061-3070 - Yilmazcan Özyurt, Tobias Hatt, Ce Zhang, Stefan Feuerriegel:
A Deep Markov Model for Clickstream Analytics in Online Shopping. 3071-3081 - Feiyang Wang, Zhongbao Zhang, Li Sun, Junda Ye, Yang Yan:
DiriE: Knowledge Graph Embedding with Dirichlet Distribution. 3082-3091 - Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu:
Accurate and Explainable Recommendation via Review Rationalization. 3092-3101 - Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park:
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. 3102-3112 - Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang:
Comparative Explanations of Recommendations. 3113-3123 - Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. 3124-3133 - Jiayi Chen, Aidong Zhang:
Topological Transduction for Hybrid Few-shot Learning. 3134-3142 - Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. 3143-3152 - Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. 3153-3161 - Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han:
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. 3162-3173 - Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. 3174-3185 - Praveen Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu, Roberto Sanchis-Ojeda, Tiffany Wu, Ben Carterette, Mounia Lalmas, Tony Jebara:
Using Survival Models to Estimate User Engagement in Online Experiments. 3186-3195 - Maxwell A. Weinzierl, Sanda M. Harabagiu:
Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse. 3196-3205 - Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu:
Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. 3206-3216 - Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang:
STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. 3217-3228 - Wei Zhang, Junbing Yan, Zhuo Wang, Jianyong Wang:
Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation. 3229-3238 - Ting Bai, Yudong Xiao, Bin Wu, Guojun Yang, Hongyong Yu, Jian-Yun Nie:
A Contrastive Sharing Model for Multi-Task Recommendation. 3239-3247 - Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang:
GRAND+: Scalable Graph Random Neural Networks. 3248-3258 - Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. 3259-3268
Session 12 - Research Track: Web of Things, Ubiquitous and Mobile Computing
- Suining He, Kang G. Shin:
Socially-Equitable Interactive Graph Information Fusion-based Prediction for Urban Dockless E-Scooter Sharing. 3269-3279 - Junkun Peng, Qing Li, Xiaoteng Ma, Yong Jiang, Yutao Dong, Chuang Hu, Meng Chen:
MagNet: Cooperative Edge Caching by Automatic Content Congregating. 3280-3288 - Wanxin Shi, Qing Li, Chao Wang, Longhao Zou, Gengbiao Shen, Pei Zhang, Yong Jiang:
Learning-based Fuzzy Bitrate Matching at the Edge for Adaptive Video Streaming. 3289-3297 - Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu:
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. 3298-3307 - Yanxin Xi, Tong Li, Huandong Wang, Yong Li, Sasu Tarkoma, Pan Hui:
Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-Interests. 3308-3316 - Ran Gao, Xike Xie, Kai Zou, Torben Bach Pedersen:
Multi-dimensional Probabilistic Regression over Imprecise Data Streams. 3317-3326 - Guosheng Xu, Siyi Li, Hao Zhou, Shucen Liu, Yutian Tang, Li Li, Xiapu Luo, Xusheng Xiao, Guoai Xu, Haoyu Wang:
Lie to Me: Abusing the Mobile Content Sharing Service for Fun and Profit. 3327-3335 - Shuodi Hui, Huandong Wang, Zhenhua Wang, Xinghao Yang, Zhongjin Liu, Depeng Jin, Yong Li:
Knowledge Enhanced GAN for IoT Traffic Generation. 3336-3346 - Seungeun Oh, Jihong Park, Praneeth Vepakomma, Sihun Baek, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning. 3347-3357 - Sisi Li, Ao Zhou, Xiao Ma, Mengwei Xu, Shangguang Wang:
Commutativity-guaranteed Docker Image Reconstruction towards Effective Layer Sharing. 3358-3366
Session 13 - Special Track: Esports and Online Gaming
- Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi:
FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. 3367-3375 - Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu:
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. 3376-3386 - Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen:
Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. 3387-3395 - Jiashu Pu, Jianshi Lin, Xiaoxi Mao, Jianrong Tao, Xudong Shen, Yue Shang, Runze Wu:
Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided Masking. 3396-3406 - Ahmad Yousef Alhilal, Tristan Braud, Bo Han, Pan Hui:
Nebula: Reliable Low-latency Video Transmission for Mobile Cloud Gaming. 3407-3417 - Peter Xenopoulos, William Robert Freeman, Cláudio T. Silva:
Analyzing the Differences between Professional and Amateur Esports through Win Probability. 3418-3427 - Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo:
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games. 3428-3439 - Pierre Laperdrix, Naif Mehanna, Antonin Durey, Walter Rudametkin:
The Price to Play: A Privacy Analysis of Free and Paid Games in the Android Ecosystem. 3440-3449
Session 14 - Special Track: History of the Web
- Mark Bernstein:
On The Origins Of Hypertext In The Disasters Of The Short 20th Century. 3450-3457 - Damien Graux, Fabrizio Orlandi:
Through the Lens of the Web Conference Series: A Look Into the History of the Web. 3458-3464 - Harry Halpin, Evan Henshaw-Plath:
From Indymedia to Tahrir Square: The Revolutionary Origins of Status Updates on Twitter. 3465-3470 - Vibhor Agarwal, Nishanth Sastry:
"Way back then": A Data-driven View of 25+ years of Web Evolution. 3471-3479 - Fabien Gandon, Wendy Hall:
A Never-Ending Project for Humanity Called "the Web". 3480-3487
Session 15 - Special Track: Web for Good
- Saerom Park, Seongmin Kim, Yeon-sup Lim:
Fairness Audit of Machine Learning Models with Confidential Computing. 3488-3499 - Sangyup Lee, Jaeju An, Simon S. Woo:
BZNet: Unsupervised Multi-scale Branch Zooming Network for Detecting Low-quality Deepfake Videos. 3500-3510 - Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku:
VICTOR: An Implicit Approach to Mitigate Misinformation via Continuous Verification Reading. 3511-3519 - James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu:
End-to-End Learning for Fair Ranking Systems. 3520-3530 - Akshit Gupta, Debadeep Basu, Ramya Ghantasala, Sihang Qiu, Ujwal Gadiraju:
To Trust or Not To Trust: How a Conversational Interface Affects Trust in a Decision Support System. 3531-3540 - Sotiris Tsioutsiouliklis, Evaggelia Pitoura, Konstantinos Semertzidis, Panayiotis Tsaparas:
Link Recommendations for PageRank Fairness. 3541-3551 - Hui Hu, Lu Cheng, Jayden Parker Vap, Mike Borowczak:
Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes. 3552-3561 - Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua:
Causal Representation Learning for Out-of-Distribution Recommendation. 3562-3571 - Saerom Park, Junyoung Byun, Joohee Lee:
Privacy-Preserving Fair Learning of Support Vector Machine with Homomorphic Encryption. 3572-3583 - Eray Turkel:
Regulating Online Political Advertising. 3584-3593 - Luyu Qiu, Yi Yang, Caleb Chen Cao, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet Hui-wen Hsiao, Lei Chen:
Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data. 3594-3605 - Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi:
Distributionally-robust Recommendations for Improving Worst-case User Experience. 3606-3610 - Ziyi Kou, Lanyu Shang, Yang Zhang, Siyu Duan, Dong Wang:
Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition. 3611-3622 - Lanyu Shang, Ziyi Kou, Yang Zhang, Dong Wang:
A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection. 3623-3631 - Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu:
Domain Adaptive Fake News Detection via Reinforcement Learning. 3632-3640 - Thi Huyen Nguyen, Koustav Rudra:
Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs. 3641-3650 - Ming Shan Hee, Roy Ka-Wei Lee, Wen-Haw Chong:
On Explaining Multimodal Hateful Meme Detection Models. 3651-3655 - Kirill Solovev, Nicolas Pröllochs:
Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and Ethnicity. 3656-3661 - Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega:
Exposing Query Identification for Search Transparency. 3662-3672 - Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song:
Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. 3673-3684 - Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani:
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. 3685-3694 - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. 3695-3705 - Kirill Solovev, Nicolas Pröllochs:
Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media. 3706-3717 - Agha Ali Raza, Mustafa Naseem, Namoos Hayat Qasmi, Shan Randhawa, Fizzah Malik, Behzad Taimur, Sacha St-Onge Ahmad, Sarojini Hirshleifer, Arman Rezaee, Aditya Vashistha:
Fostering Engagement of Underserved Communities with Credible Health Information on Social Media. 3718-3727 - Ehsan ul Haq, Tristan Braud, Yui-Pan Yau, Lik-Hang Lee, Franziska B. Keller, Pan Hui:
Screenshots, Symbols, and Personal Thoughts: The Role of Instagram for Social Activism. 3728-3739 - Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah:
ExpScore: Learning Metrics for Recommendation Explanation. 3740-3744 - Yabo Ling, Jian-Yun Nie, Daiva Nielsen, Bärbel Knäuper, Nathan Yang, Laurette Dubé:
Following Good Examples - Health Goal-Oriented Food Recommendation based on Behavior Data. 3745-3754 - Karishma Sharma, Emilio Ferrara, Yan Liu:
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. 3755-3764
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