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ORCID28th WWW 2019: San Francisco, CA, USA
- Ling Liu, Ryen W. White, Amin Mantrach, Fabrizio Silvestri, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia:
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. ACM 2019, ISBN 978-1-4503-6674-8
Keynote Talk
- Jeff Dean:
Deep Learning for Solving Important Problems. 1 - Lawrence Lessig:
The Law of the Horse at 20: Phases of the Net. 2 - Claire Wardle:
Enlisting the Public to Build a Healthier Web Information Commons. 3
Full Paper
- Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
:
Addressing Trust Bias for Unbiased Learning-to-Rank. 4-14 - Rakshit Agrawal, Luca de Alfaro:
Learning Edge Properties in Graphs from Path Aggregations. 15-25 - Tarfah Alrashed, Chia-Jung Lee, Peter Bailey, Christopher H. Lin, Milad Shokouhi, Susan T. Dumais:
Evaluating User Actions as a Proxy for Email Significance. 26-36 - Rami Al-Rfou, Bryan Perozzi, Dustin Zelle:
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels. 37-48 - Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. 49-59 - Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao:
Personalized Bundle List Recommendation. 60-71 - Tian Bai, Slobodan Vucetic:
Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources. 72-82 - Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu:
No Place to Hide: Catching Fraudulent Entities in Tensors. 83-93 - Austin R. Benson, Jon M. Kleinberg:
Link Prediction in Networks with Core-Fringe Data. 94-104 - Massimo Bernaschi, Alessandro Celestini, Stefano Guarino, Flavio Lombardi, Enrico Mastrostefano:
Spiders like Onions: on the Network of Tor Hidden Services. 105-115 - Rajarshi Bhowmik, Gerard de Melo:
Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts. 116-126 - Angela Bonifati, Wim Martens, Thomas Timm:
Navigating the Maze of Wikidata Query Logs. 127-138 - Ceren Budak:
What happened? The Spread of Fake News Publisher Content During the 2016 U.S. Presidential Election. 139-150 - Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua:
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. 151-161 - David Carmel, Yaroslav Fyodorov, Saar Kuzi, Avihai Mejer, Fiana Raiber, Elad Rainshmidt:
Enriching News Articles with Related Search Queries. 162-172 - T.-H. Hubert Chan, Zhibin Liang, Mauro Sozio:
Revisiting Opinion Dynamics with Varying Susceptibility to Persuasion via Non-Convex Local Search. 173-183 - Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil:
Trajectories of Blocked Community Members: Redemption, Recidivism and Departure. 184-195 - Matheus Xavier Ferreira, S. Matthew Weinberg, Danny Yuxing Huang, Nick Feamster, Tithi Chattopadhyay:
Selling a Single Item with Negative Externalities. 196-206 - Gong Chen, Wei Meng, John A. Copeland:
Revisiting Mobile Advertising Threats with MAdLife. 207-217 - Huiyuan Chen, Jing Li:
Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources. 218-227 - Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker: Social Recommendation with Informative Sampling Strategy. 228-239 - Li Chen, Yonghua Yang, Ningxia Wang, Keping Yang, Quan Yuan:
How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. 240-250 - Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. 251-262 - Alex Chin, Yatong Chen, Kristen M. Altenburger, Johan Ugander:
Decoupled Smoothing on Graphs. 263-272 - Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi:
Cross-Network Embedding for Multi-Network Alignment. 273-284 - Dominic Coey, Tom Cunningham:
Improving Treatment Effect Estimators Through Experiment Splitting. 285-295 - Hang Cui, Tarek F. Abdelzaher, Lance M. Kaplan:
A Semi-Supervised Active-learning Truth Estimator for Social Networks. 296-306 - Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang:
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. 307-317 - Tiago Cunha, David Jurgens, Chenhao Tan, Daniel M. Romero:
Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities. 318-328 - Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang:
Adversarial Training Methods for Network Embedding. 329-339 - Zhuyun Dai, Zhen Fan, Hafeezul Rahman, Jamie Callan:
Local Matching Networks for Engineering Diagram Search. 340-350 - Amit Datta, Jianan Lu, Michael Carl Tschantz:
Evaluating Anti-Fingerprinting Privacy Enhancing Technologies. 351-362 - Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Di Wu, Dongyu Zhang, Kan Xu:
Heterographic Pun Recognition via Pronunciation and Spelling Understanding Gated Attention Network. 363-371 - Periwinkle Doerfler, Kurt Thomas, Maija Marincenko, Juri Ranieri, Yu Jiang, Angelika Moscicki, Damon McCoy:
Evaluating Login Challenges as aDefense Against Account Takeover. 372-382 - Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu:
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. 383-393 - Alessandro Epasto, Bryan Perozzi:
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts. 394-404 - Alessandro Epasto, Hossein Esfandiari, Vahab S. Mirrokni:
On-Device Algorithms for Public-Private Data with Absolute Privacy. 405-416 - Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Graph Neural Networks for Social Recommendation. 417-426 - Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu:
Knowledge-Enhanced Ensemble Learning for Word Embeddings. 427-437 - Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu:
Joint Entity Linking with Deep Reinforcement Learning. 438-447 - Shehroze Farooqi, Zubair Shafiq:
Measurement and Early Detection of Third-Party Application Abuse on Twitter. 448-458 - Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, Depeng Jin:
DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data. 459-469 - Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin:
MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. 470-479 - Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Gaps in Information Access in Social Networks? 480-490 - Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin:
Cross-domain Recommendation Without Sharing User-relevant Data. 491-502 - Yang Gao, Yifan Li, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham:
Towards Self-Adaptive Metric Learning On the Fly. 503-513 - Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit P. Sheth, Randy S. Welton, Jyotishman Pathak:
Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. 514-525 - Mohammad Ghasemisharif, Peter Snyder, Andrius Aucinas, Benjamin Livshits:
SpeedReader: Reader Mode Made Fast and Private. 526-537 - Masoud Seddighin, Hamed Saleh, Mohammad Ghodsi:
Externalities and Fairness. 538-548 - Cole Gleason, Patrick Carrington, Cameron Tyler Cassidy, Meredith Ringel Morris, Kris M. Kitani, Jeffrey P. Bigham:
"It's almost like they're trying to hide it": How User-Provided Image Descriptions Have Failed to Make Twitter Accessible. 549-559 - Maria Glenski, Emily Saldanha, Svitlana Volkova:
Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit. 560-570 - Mitchell L. Gordon, Tim Althoff, Jure Leskovec:
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. 571-582 - Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data. 583-593 - Hasini Gunasinghe, Ashish Kundu, Elisa Bertino, Hugo Krawczyk, Suresh Chari, Kapil Singh, Dong Su:
PrivIdEx: Privacy Preserving and Secure Exchange of Digital Identity Assets. 594-604 - Jinsong Guo, Valter Crescenzi, Tim Furche, Giovanni Grasso, Georg Gottlob:
RED: Redundancy-Driven Data Extraction from Result Pages? 605-615 - Qingyu Guo, Zhao Li, Bo An, Pengrui Hui, Jiaming Huang, Long Zhang, Mengchen Zhao:
Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. 616-626 - Shuguang Han, Bernhard Brodowsky, Przemek Gajda, Sergey Novikov, Mike Bendersky, Marc Najork, Robin Dua, Alexandrin Popescul:
Predictive Crawling for Commercial Web Content. 627-637 - Braden Hancock, Hongrae Lee, Cong Yu:
Generating Titles for Web Tables. 638-647 - Apinan Hasthanasombat, Cecilia Mascolo:
Understanding the Effects of the Neighbourhood Built Environment on Public Health with Open Data. 648-658 - Huan He, Jette Henderson, Joyce C. Ho:
Distributed Tensor Decomposition for Large Scale Health Analytics. 659-669 - Stefan Heindorf, Yan Scholten, Gregor Engels, Martin Potthast:
Debiasing Vandalism Detection Models at Wikidata. 670-680 - Manoel Horta Ribeiro, Kristina Gligoric, Robert West:
Message Distortion in Information Cascades. 681-692 - Desheng Hu, Shan Jiang, Ronald E. Robertson, Christo Wilson:
Auditing the Partisanship of Google Search Snippets. 693-704 - Tianran Hu, Yinglong Xia, Jiebo Luo:
To Return or to Explore: Modelling Human Mobility and Dynamics in Cyberspace. 705-716 - Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin:
MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. 717-728 - Damilola Ibosiola, Ignacio Castro, Gianluca Stringhini, Steve Uhlig, Gareth Tyson:
Who Watches the Watchmen: Exploring Complaints on the Web. 729-738 - Rania Ibrahim, David F. Gleich:
Nonlinear Diffusion for Community Detection and Semi-Supervised Learning. 739-750 - Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu:
Bayesian Exploration with Heterogeneous Agents. 751-761 - Nicole Immorlica, Jieming Mao, Christos Tzamos:
Diversity and Exploration in Social Learning. 762-772 - Shenggong Ji, Yu Zheng, Zhaoyuan Wang, Tianrui Li:
Alleviating Users' Pain of Waiting: Effective Task Grouping for Online-to-Offline Food Delivery Services. 773-783 - Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang:
CommunityGAN: Community Detection with Generative Adversarial Nets. 784-794 - Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork:
Semantic Text Matching for Long-Form Documents. 795-806 - Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Sunju Park:
RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs. 807-817 - Gustavo Resende, Philipe F. Melo, Hugo Sousa, Johnnatan Messias, Marisa Vasconcelos, Jussara M. Almeida, Fabrício Benevenuto:
(Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures. 818-828 - Ruthwik R. Junuthula, Maysam Haghdan, Kevin S. Xu, Vijay K. Devabhaktuni:
The Block Point Process Model for Continuous-time Event-based Dynamic Networks. 829-839 - Amin Kharraz, Zane Ma, Paul Murley, Charles Lever, Joshua Mason, Andrew Miller, Nikita Borisov, Manos Antonakakis, Michael D. Bailey:
Outguard: Detecting In-Browser Covert Cryptocurrency Mining in the Wild. 840-852 - Kang-Min Kim, Yeachan Kim, Jungho Lee, Ji-Min Lee, SangKeun Lee:
From Small-scale to Large-scale Text Classification. 853-862 - Seunghyeon Kim, Jongwuk Lee, Hyunjung Shim:
Dual Neural Personalized Ranking. 863-873 - Yongsung Kim, Adam Fourney, Ece Kamar:
Studying Preferences and Concerns about Information Disclosure in Email Notifications. 874-885 - Furkan Kocayusufoglu, Ying Sheng, Nguyen Vo, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork:
RiSER: Learning Better Representations for Richly Structured Emails. 886-895 - Marios Kokkodis:
Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets. 896-905 - Bernhard Kratzwald, Stefan Feuerriegel:
Learning from On-Line User Feedback in Neural Question Answering on the Web. 906-916 - Elias Koutsoupias, Philip Lazos, Foluso Ogunlana, Paolo Serafino:
Blockchain Mining Games with Pay Forward. 917-927 - Tuan M. V. Le, Leman Akoglu:
ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections. 928-938 - Changchun Li, Jihong Ouyang, Ximing Li:
Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover's Distance Space. 939-949 - Dingcheng Li, Jingyuan Zhang, Ping Li:
Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning. 950-960 - Huan Li, Richard Peng, Liren Shan, Yuhao Yi, Zhongzhi Zhang:
Current Flow Group Closeness Centrality for Complex Networks? 961-971 - Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. 972-982 - Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye:
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. 983-994 - Pengfei Li, Hua Lu, Gang Zheng, Qian Zheng, Long Yang, Gang Pan:
Exploiting Ratings, Reviews and Relationships for Item Recommendations in Topic Based Social Networks. 995-1005 - Piji Li, Zihao Wang, Lidong Bing, Wai Lam:
Persona-Aware Tips Generation? 1006-1016 - Xiucheng Li, Gao Cong, Aixin Sun, Yun Cheng:
Learning Travel Time Distributions with Deep Generative Model. 1017-1027 - Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn:
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. 1028-1038 - Shangsong Liang:
Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval. 1039-1050 - Fabrizio Lillo, Salvatore Ruggieri:
Estimating the Total Volume of Queries to Google. 1051-1060 - Allen Yilun Lin, Justin Cranshaw, Scott Counts:
Forecasting U.S. Domestic Migration Using Internet Search Queries. 1061-1072 - Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren:
Learning Dual Retrieval Module for Semi-supervised Relation Extraction. 1073-1083 - Wenqing Lin:
Distributed Algorithms for Fully Personalized PageRank on Large Graphs. 1084-1094 - Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Improving Outfit Recommendation with Co-supervision of Fashion Generation. 1095-1105 - Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu:
Learning to Generate Questions by LearningWhat not to Generate. 1106-1118 - Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang:
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction. 1119-1129 - Boge Liu, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Jingren Zhou:
Efficient (a,β)-core Computation: an Index-based Approach. 1130-1141 - Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang, Xiaochi Wei:
Neural Variational Correlated Topic Modeling. 1142-1152 - Xinyu Liu, Zhaohua Zhang, Rebecca J. Stones, Yusen Li, Gang Wang, Xiaoguang Liu:
A Hybrid BitFunnel and Partitioned Elias-Fano Inverted Index. 1153-1163 - Zongtao Liu, Yang Yang, Wei Huang, Zhongyi Tang, Ning Li, Fei Wu:
How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation. 1164-1174 - Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John A. Stankovic:
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues. 1175-1186 - Hongyu Lu, Min Zhang, Weizhi Ma, Yunqiu Shao, Yiqun Liu, Shaoping Ma:
Quality Effects on User Preferences and Behaviorsin Mobile News Streaming. 1187-1197 - Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng:
What We Vote for? Answer Selection from User Expertise View in Community Question Answering. 1198-1209 - Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, Xiang Ren:
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. 1210-1221 - Xiaojuan Ma, Emily P. Yang, Pascale Fung:
Exploring Perceived Emotional Intelligence of Personality-Driven Virtual Agents in Handling User Challenges. 1222-1233 - Yun Ma, Dongwei Xiang, Shuyu Zheng, Deyu Tian, Xuanzhe Liu:
Moving Deep Learning into Web Browser: How Far Can We Go? 1234-1244 - Joel M. Mackenzie, Kshitiz Gupta, Fang Qiao, Ahmed Hassan Awadallah, Milad Shokouhi:
Exploring User Behavior in Email Re-Finding Tasks. 1245-1255 - Rishabh Mehrotra, Mounia Lalmas, Doug Kenney, Thomas Lim-Meng, Golli Hashemian:
Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations. 1256-1267 - Thomas Minier, Hala Skaf-Molli, Pascal Molli:
SaGe: Web Preemption for Public SPARQL Query Services. 1268-1278