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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,