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29th WWW 2020: Taipei, Taiwan
- Yennun Huang, Irwin King, Tie-Yan Liu, Maarten van Steen:
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020. ACM / IW3C2 2020, ISBN 978-1-4503-7023-3
Session: Full Paper
- Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen:
Relation Adversarial Network for Low Resource Knowledge Graph Completion. 1-12 - Wenbo Zheng, Chao Gou, Lan Yan, Shaocong Mo:
Learning to Classify: A Flow-Based Relation Network for Encrypted Traffic Classification. 13-22 - Xi Chen, Hang Li, Chenyi Zhou, Xue Liu, Di Wu, Gregory Dudek:
FiDo: Ubiquitous Fine-Grained WiFi-based Localization for Unlabelled Users via Domain Adaptation. 23-33 - Bertil Chapuis, Olamide Omolola, Mauro Cherubini, Mathias Humbert, Kévin Huguenin:
An Empirical Study of the Use of Integrity Verification Mechanisms for Web Subresources. 34-45 - Wanyue Xu, Yibin Sheng, Zuobai Zhang, Haibin Kan, Zhongzhi Zhang:
Power-Law Graphs Have Minimal Scaling of Kemeny Constant for Random Walks. 46-56 - Furong Xu, Wei Zhang, Yuan Cheng, Wei Chu:
Metric Learning with Equidistant and Equidistributed Triplet-based Loss for Product Image Search. 57-65 - Tong Li, Mingyang Zhang, Hancheng Cao, Yong Li, Sasu Tarkoma, Pan Hui:
"What Apps Did You Use?": Understanding the Long-term Evolution of Mobile App Usage. 66-76 - Yusan Lin, Maryam Moosaei, Hao Yang:
OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning. 77-87 - Suining He, Kang G. Shin:
Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems. 88-98 - Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. 99-109 - Yao Zhou, Arun Reddy Nelakurthi, Ross Maciejewski, Wei Fan, Jingrui He:
Crowd Teaching with Imperfect Labels. 110-121 - Xueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu, Guojun Wang, Kenli Li:
Directional and Explainable Serendipity Recommendation. 122-132 - Suining He, Kang G. Shin:
Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration. 133-143 - Liang Yang, Fan Wu, Junhua Gu, Chuan Wang, Xiaochun Cao, Di Jin, Yuanfang Guo:
Graph Attention Topic Modeling Network. 144-154 - Xi Tong Lee, Arijit Khan, Sourav Sen Gupta, Yu Hann Ong, Xuan Liu:
Measurements, Analyses, and Insights on the Entire Ethereum Blockchain Network. 155-166 - David Zeber, Sarah Bird, Camila Oliveira, Walter Rudametkin, Ilana Segall, Fredrik Wollsén, Martin Lopatka:
The Representativeness of Automated Web Crawls as a Surrogate for Human Browsing. 167-178 - Kijin An, Eli Tilevich:
Client Insourcing: Bringing Ops In-House for Seamless Re-engineering of Full-Stack JavaScript Applications. 179-189 - Christian Meurisch, Bekir Bayrak, Max Mühlhäuser:
Privacy-preserving AI Services Through Data Decentralization. 190-200 - Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, Cane Wing-Ki Leung:
ASER: A Large-scale Eventuality Knowledge Graph. 201-211 - Chris Xiaoxuan Lu, Yang Li, Yuanbo Xiangli, Zhengxiong Li:
Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices. 212-223 - Márcio Silva, Lucas Santos de Oliveira, Athanasios Andreou, Pedro Olmo Stancioli Vaz de Melo, Oana Goga, Fabrício Benevenuto:
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook. 224-234 - Yuxuan Shi, Gong Cheng, Evgeny Kharlamov:
Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings. 235-245 - Meng Ma, Jingmin Xu, Yuan Wang, Pengfei Chen, Zonghua Zhang, Ping Wang:
AutoMAP: Diagnose Your Microservice-based Web Applications Automatically. 246-258 - Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. 259-270 - Syed Suleman Ahmad, Muhammad Daniyal Dar, Muhammad Fareed Zaffar, Narseo Vallina-Rodriguez, Rishab Nithyanand:
Apophanies or Epiphanies? How Crawlers Impact Our Understanding of the Web. 271-280 - Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin:
Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension. 281-291 - Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye:
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. 292-302 - Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong:
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. 303-313 - Adithya Kumar, Iyswarya Narayanan, Timothy Zhu, Anand Sivasubramaniam:
The Fast and The Frugal: Tail Latency Aware Provisioning for Coping with Load Variations. 314-326 - Daniele Rama, Yelena Mejova, Michele Tizzoni, Kyriaki Kalimeri, Ingmar Weber:
Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide. 327-338 - Zi Chen, Long Yuan, Xuemin Lin, Lu Qin, Jianye Yang:
Efficient Maximal Balanced Clique Enumeration in Signed Networks. 339-349 - Ping Wang, Tian Shi, Chandan K. Reddy:
Text-to-SQL Generation for Question Answering on Electronic Medical Records. 350-361 - Han Xiao, Bruno Ordozgoiti, Aristides Gionis:
Searching for polarization in signed graphs: a local spectral approach. 362-372 - David Carmel, Elad Haramaty, Arnon Lazerson, Liane Lewin-Eytan:
Multi-Objective Ranking Optimization for Product Search Using Stochastic Label Aggregation. 373-383 - Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu:
Open Knowledge Enrichment for Long-tail Entities. 384-394 - Iskander Sánchez-Rola, Davide Balzarotti, Christopher Kruegel, Giovanni Vigna, Igor Santos:
Dirty Clicks: A Study of the Usability and Security Implications of Click-related Behaviors on the Web. 395-406 - Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky, Alexandrin Popescul:
Adversarial Bandits Policy for Crawling Commercial Web Content. 407-417 - Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, Gord Lueck:
Generating Clarifying Questions for Information Retrieval. 418-428 - Jing Li, Shuo Shang, Ling Shao:
MetaNER: Named Entity Recognition with Meta-Learning. 429-440 - Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong:
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. 441-451 - Ekta Gujral, Ravdeep Pasricha, Evangelos E. Papalexakis:
Beyond Rank-1: Discovering Rich Community Structure in Multi-Aspect Graphs. 452-462 - Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi:
Off-policy Learning in Two-stage Recommender Systems. 463-473 - Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. 474-485 - Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. 486-497 - Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu:
A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. 498-507 - Kai Zhao, Ting Bai, Bin Wu, Bai Wang, Youjie Zhang, Yuanyu Yang, Jian-Yun Nie:
Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding. 508-518 - Farhan Khawar, Leonard K. M. Poon, Nevin L. Zhang:
Learning the Structure of Auto-Encoding Recommenders. 519-529 - Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. 530-540 - Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
Clinical Report Auto-completion. 541-550 - Huafeng Liu, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang, Lin Xiao, Jian Yu:
Deep Global and Local Generative Model for Recommendation. 551-561 - Austin Hounsel, Kevin Borgolte, Paul Schmitt, Jordan Holland, Nick Feamster:
Comparing the Effects of DNS, DoT, and DoH on Web Performance. 562-572 - Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang:
Flowless: Extracting Densest Subgraphs Without Flow Computations. 573-583 - Zhihan Fang, Guang Wang, Shuai Wang, Chaoji Zuo, Fan Zhang, Desheng Zhang:
CellRep: Usage Representativeness Modeling and Correction Based on Multiple City-Scale Cellular Networks. 584-595 - Renato Paes Leme, Balasubramanian Sivan, Yifeng Teng:
Why Do Competitive Markets Converge to First-Price Auctions? 596-605 - Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. 606-616 - Zhengjie Miao, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan:
Snippext: Semi-supervised Opinion Mining with Augmented Data. 617-628 - Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher:
paper2repo: GitHub Repository Recommendation for Academic Papers. 629-639 - Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang:
High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. 640-650 - Shuangyin Li, Yu Zhang, Rong Pan, Kaixiang Mo:
Adaptive Probabilistic Word Embedding. 651-661 - Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui:
Conversational Contextual Bandit: Algorithm and Application. 662-672 - Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar:
Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. 673-683 - Khoa D. Doan, Chandan K. Reddy:
Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. 684-694 - Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie:
LightRec: A Memory and Search-Efficient Recommender System. 695-705 - Ilya Amburg, Nate Veldt, Austin R. Benson:
Clustering in graphs and hypergraphs with categorical edge labels. 706-717 - Zhuoyi Wang, Yigong Wang, Yu Lin, Evan Delord, Latifur Khan:
Few-Sample and Adversarial Representation Learning for Continual Stream Mining. 718-728 - Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He:
Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. 729-739 - Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen:
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. 740-751 - Xiangyu Zhao, Longbiao Wang, Ruifang He, Ting Yang, Jinxin Chang, Ruifang Wang:
Multiple Knowledge Syncretic Transformer for Natural Dialogue Generation. 752-762 - Moumena Chaqfeh, Yasir Zaki, Jacinta Hu, Lakshmi Subramanian:
JSCleaner: De-Cluttering Mobile Webpages Through JavaScript Cleanup. 763-773 - Yen-Hao Huang, Ting-Wei Liu, Ssu-Rui Lee, Fernando Henrique Calderon Alvarado, Yi-Shin Chen:
Conquering Cross-source Failure for News Credibility: Learning Generalizable Representations beyond Content Embedding. 774-784 - Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He:
Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. 785-795 - Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan:
Fast Generating A Large Number of Gumbel-Max Variables. 796-807 - Vikas Mishra, Pierre Laperdrix, Antoine Vastel, Walter Rudametkin, Romain Rouvoy, Martin Lopatka:
Don't Count Me Out: On the Relevance of IP Address in the Tracking Ecosystem. 808-815 - Rolf van Wegberg, Fieke Miedema, Ugur Akyazi, Arman Noroozian, Bram Klievink, Michel van Eeten:
Go See a Specialist? Predicting Cybercrime Sales on Online Anonymous Markets from Vendor and Product Characteristics. 816-826 - Xiang Li, Chao Wang, Jiwei Tan, Xiaoyi Zeng, Dan Ou, Bo Zheng:
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction. 827-836 - Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang:
Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. 837-847 - Aviad Elyashar, Sagi Uziel, Abigail Paradise, Rami Puzis:
The Chameleon Attack: Manipulating Content Display in Online Social Media. 848-859 - Sheng Tian, Tao Xiong:
A Generic Solver Combining Unsupervised Learning and Representation Learning for Breaking Text-Based Captchas. 860-871 - Idan Szpektor, Deborah Cohen, Gal Elidan, Michael Fink, Avinatan Hassidim, Orgad Keller, Sayali Kulkarni, Eran Ofek, Sagie Pudinsky, Asaf Revach, Shimi Salant, Yossi Matias:
Dynamic Composition for Conversational Domain Exploration. 872-883 - Ammar Tahir, Muhammad Tahir Munir, Shaiq Munir Malik, Zafar Ayyub Qazi, Ihsan Ayyub Qazi:
Deconstructing Google's Web Light Service. 884-893 - Arvind Narayanan, Eman Ramadan, Jason Carpenter, Qingxu Liu, Yu Liu, Feng Qian, Zhi-Li Zhang:
A First Look at Commercial 5G Performance on Smartphones. 894-905 - Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung:
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. 906-916 - Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. 917-927 - Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. 928-938 - Pubali Datta, Prabuddha Kumar, Tristan Morris, Michael Grace, Amir Rahmati, Adam Bates:
Valve: Securing Function Workflows on Serverless Computing Platforms. 939-950 - Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang:
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. 951-961 - Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang:
Identifying Referential Intention with Heterogeneous Contexts. 962-972 - Jiangwei Zhang, Y. C. Tay:
PG2S+: Stack Distance Construction Using Popularity, Gap and Machine Learning. 973-983 - Amr Azzam, Javier D. Fernández, Maribel Acosta, Martin Beno, Axel Polleres:
SMART-KG: Hybrid Shipping for SPARQL Querying on the Web. 984-994 - Xian Wu, Suleyman Cetintas, Deguang Kong, Miao Lu, Jian Yang, Nitesh V. Chawla:
Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit. 995-1005 - Faysal Hossain Shezan, Hang Hu, Jiamin Wang, Gang Wang, Yuan Tian:
Read Between the Lines: An Empirical Measurement of Sensitive Applications of Voice Personal Assistant Systems. 1006-1017 - Nir Rosenfeld, Aron Szanto, David C. Parkes:
A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone. 1018-1028 - Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun:
Patient-Trial Matching with Deep Embedding and Entailment Prediction. 1029-1037 - Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang:
Weakly Supervised Attention for Hashtag Recommendation using Graph Data. 1038-1048 - Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cláudio T. Silva, Juliana Freire:
Real-Time Clustering for Large Sparse Online Visitor Data. 1049-1059 - Rachid Guerraoui, Anne-Marie Kermarrec, Olivier Ruas, François Taïani:
Smaller, Faster & Lighter KNN Graph Constructions. 1060-1070 - Harrisen Scells, Guido Zuccon, Bevan Koopman, Justin Clark:
Automatic Boolean Query Formulation for Systematic Review Literature Search. 1071-1081 - Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu:
Traffic Flow Prediction via Spatial Temporal Graph Neural Network. 1082-1092 - Defu Lian, Qi Liu, Enhong Chen:
Personalized Ranking with Importance Sampling. 1093-1103 - Yu Liu, Quanming Yao, Yong Li:
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases. 1104-1114 - Caleb Belth, Xinyi Zheng, Jilles Vreeken, Danai Koutra:
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization. 1115-1126 - Xueliang Guo, Chongyang Shi, Chuanming Liu:
Intention Modeling from Ordered and Unordered Facets for Sequential Recommendation. 1127-1137 - Shen Gao, Xiuying Chen, Chang Liu, Li Liu, Dongyan Zhao, Rui Yan:
Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog. 1138-1148 - Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai:
Dynamic Graph Convolutional Networks for Entity Linking. 1149-1159 - Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett:
Leading Conversational Search by Suggesting Useful Questions. 1160-1170 - Marc Anthony Warrior, Yunming Xiao, Matteo Varvello, Aleksandar Kuzmanovic:
De-Kodi: Understanding the Kodi Ecosystem. 1171-1181 - Weiping Pei, Arthur Mayer, Kaylynn Tu, Chuan Yue:
Attention Please: Your Attention Check Questions in Survey Studies Can Be Automatically Answered. 1182-1193 - Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. 1194-1204 - Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber:
Complex Factoid Question Answering with a Free-Text Knowledge Graph. 1205-1216 - Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu:
Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. 1217-1227 - Carlos Toxtli, Angela Richmond-Fuller, Saiph Savage:
Reputation Agent: Prompting Fair Reviews in Gig Markets. 1228-1240 - Saiph Savage, Chun-Wei Chiang, Susumu Saito, Carlos Toxtli, Jeffrey P. Bigham:
Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers. 1241-1252 - Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu:
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. 1253-1263 - Fuqiang Yu, Lizhen Cui, Wei Guo, Xudong Lu, Qingzhong Li, Hua Lu:
A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data. 1264-1274 - Tobias Urban, Martin Degeling, Thorsten Holz, Norbert Pohlmann:
Beyond the Front Page: Measuring Third Party Dynamics in the Field. 1275-1286 - Adam Breuer, Roee Eilat, Udi Weinsberg:
Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks. 1287-1297 - Shuo Zhang, Edgar Meij, Krisztian Balog, Ridho Reinanda:
Novel Entity Discovery from Web Tables. 1298-1308 - Wei-Fan Chen, Shahbaz Syed, Benno Stein, Matthias Hagen, Martin Potthast:
Abstractive Snippet Generation. 1309-1319 - Benjamin Eriksson, Andrei Sabelfeld:
AutoNav: Evaluation and Automatization of Web Navigation Policies. 1320-1331 - Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers, Alexander Löser:
Learning Contextualized Document Representations for Healthcare Answer Retrieval. 1332-1343 - Roland Aydin, Lars Henning Klein, Arnaud Miribel, Robert West:
Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information Diets. 1344-1354 - Tianfu He, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Li Song, Hui He, Yu Zheng:
What is the Human Mobility in a New City: Transfer Mobility Knowledge Across Cities. 1355-1365 - Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon:
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance. 1366-1377 - Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis:
Finding large balanced subgraphs in signed networks. 1378-1388 - Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu:
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework. 1389-1399 - Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui:
Structural Deep Clustering Network. 1400-1410 - Weili Chen, Tuo Zhang, Zhiguang Chen, Zibin Zheng, Yutong Lu:
Traveling the token world: A graph analysis of Ethereum ERC20 token ecosystem. 1411-1421 - Zhihao Wang, Qiang Li, Jinke Song, Haining Wang, Limin Sun:
Towards IP-based Geolocation via Fine-grained and Stable Webcam Landmarks. 1422-1432 - Panagiotis Papadopoulos, Peter Snyder, Dimitrios Athanasakis, Benjamin Livshits:
Keeping out the Masses: Understanding the Popularity and Implications of Internet Paywalls. 1433-1444 - André Greiner-Petter, Moritz Schubotz, Fabian Müller, Corinna Breitinger, Howard S. Cohl, Akiko Aizawa, Bela Gipp:
Discovering Mathematical Objects of Interest - A Study of Mathematical Notations. 1445-1456 - Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu:
Unsupervised Domain Adaptive Graph Convolutional Networks. 1457-1467 - David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos E. Tsourakakis:
Query-Efficient Correlation Clustering. 1468-1478 - Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos, Nishanth Sastry, Nicolas Kourtellis:
Stop tracking me Bro! Differential Tracking of User Demographics on Hyper-Partisan Websites. 1479-1490 - Simon S. Woo:
How Do We Create a Fantabulous Password? 1491-1501 - Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. 1502-1513 - Minje Choi, Luca Maria Aiello, Krisztián Zsolt Varga, Daniele Quercia:
Ten Social Dimensions of Conversations and Relationships. 1514-1525 - Giovanni Quattrone, Antonino Nocera, Licia Capra, Daniele Quercia:
Social Interactions or Business Transactions?What customer reviews disclose about Airbnb marketplace. 1526-1536 - Jiaoyan Chen, Xi Chen, Ian Horrocks, Erik B. Myklebust, Ernesto Jiménez-Ruiz:
Correcting Knowledge Base Assertions. 1537-1547 - Binny Mathew, Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier:
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings. 1548-1558 - Safwan Hossain, Andjela Mladenovic, Nisarg Shah:
Designing Fairly Fair Classifiers Via Economic Fairness Notions. 1559-1569 - Medina Andresel, Julien Corman, Magdalena Ortiz, Juan L. Reutter, Ognjen Savkovic, Mantas Simkus:
Stable Model Semantics for Recursive SHACL. 1570-1580 - Zhuoren Jiang, Zheng Gao, Jinjiong Lan, Hongxia Yang, Yao Lu, Xiaozhong Liu:
Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding. 1581-1591 - Shan Jiang, Simon Baumgartner, Abe Ittycheriah, Cong Yu:
Factoring Fact-Checks: Structured Information Extraction from Fact-Checking Articles. 1592-1603 - Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin:
Keywords Generation Improves E-Commerce Session-based Recommendation. 1604-1614 - Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee:
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data. 1615-1624 - Vasudevan Nagendra, Arani Bhattacharya, Vinod Yegneswaran, Amir Rahmati, Samir Ranjan Das:
An Intent-Based Automation Framework for Securing Dynamic Consumer IoT Infrastructures. 1625-1636 - Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo:
Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. 1637-1647 - Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong:
Personalized Employee Training Course Recommendation with Career Development Awareness. 1648-1659 - Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li, Cho-Jui Hsieh:
Efficient Neural Interaction Function Search for Collaborative Filtering. 1660-1670 - Tobias Hatt, Stefan Feuerriegel:
Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model. 1671-1681 - Alexander Sjösten, Peter Snyder, Antonio Pastor, Panagiotis Papadopoulos, Benjamin Livshits:
Filter List Generation for Underserved Regions. 1682-1692 - Rohail Syed, Kevyn Collins-Thompson, Paul N. Bennett, Mengqiu Teng, Shane Williams, Wendy W. Tay, Shamsi T. Iqbal:
Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation. 1693-1703 - Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun:
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. 1704-1714 - Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé, Jacques Klein:
MadDroid: Characterizing and Detecting Devious Ad Contents for Android Apps. 1715-1726 - Yangyu Hu, Haoyu Wang, Ren He, Li Li, Gareth Tyson, Ignacio Castro, Yao Guo, Lei Wu, Guoai Xu:
Mobile App Squatting. 1727-1738 - Benjamin Coleman, Anshumali Shrivastava:
Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data. 1739-1749 - Niklas Kolbe, Pierre-Yves Vandenbussche, Sylvain Kubler, Yves Le Traon:
LOVBench: Ontology Ranking Benchmark. 1750-1760 - Jacopo Urbani, Ceriel J. H. Jacobs:
Adaptive Low-level Storage of Very Large Knowledge Graphs. 1761-1772 - Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski:
Generating Representative Headlines for News Stories. 1773-1784 - Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha:
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. 1785-1795 - Yuan Deng, Sébastien Lahaie, Vahab S. Mirrokni, Song Zuo:
A Data-Driven Metric of Incentive Compatibility. 1796-1806 - Alexander Braylan, Matthew Lease:
Modeling and Aggregation of Complex Annotations via Annotation Distances. 1807-1818 - Udit Paul, Alexander Ermakov, Michael Nekrasov, Vivek Adarsh, Elizabeth M. Belding:
#Outage: Detecting Power and Communication Outages from Social Networks. 1819-1829 - Tom Harting, Sepideh Mesbah, Christoph Lofi:
LOREM: Language-consistent Open Relation Extraction from Unstructured Text. 1830-1838 - Wen Wang, Han Zhao, Honglei Zhuang, Nirav Shah, Rema Padman:
DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring. 1839-1850 - Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux:
OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation. 1851-1862 - Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, Elena Zheleva:
Correcting for Selection Bias in Learning-to-rank Systems. 1863-1873 - Janith Weerasinghe, Bailey Flanigan, Aviel J. Stein, Damon McCoy, Rachel Greenstadt:
The Pod People: Understanding Manipulation of Social Media Popularity via Reciprocity Abuse. 1874-1884 - Paolo Rosso, Dingqi Yang, Philippe Cudré-Mauroux:
Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction. 1885-1896 - Zhuyun Dai, Jamie Callan:
Context-Aware Document Term Weighting for Ad-Hoc Search. 1897-1907 - Jingbo Shang, Xinyang Zhang, Liyuan Liu, Sha Li, Jiawei Han:
NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network. 1908-1919 - Ang Li, Alice Wang, Zahra Nazari, Praveen Chandar, Benjamin A. Carterette:
Do podcasts and music compete with one another? Understanding users' audio streaming habits. 1920-1931 - Yu Chen, Sampath Kannan, Sanjeev Khanna:
Near-Perfect Recovery in the One-Dimensional Latent Space Model. 1932-1942 - Vinayshekhar Bannihatti Kumar, Roger Iyengar, Namita Nisal, Yuanyuan Feng, Hana Habib, Peter Story, Sushain Cherivirala, Margaret Hagan, Lorrie Faith Cranor, Shomir Wilson, Florian Schaub, Norman M. Sadeh:
Finding a Choice in a Haystack: Automatic Extraction of Opt-Out Statements from Privacy Policy Text. 1943-1954 - Ramnath Kumar, Shweta Yadav, Raminta Daniulaityte, Francois R. Lamy, Krishnaprasad Thirunarayan, Usha Lokala, Amit P. Sheth:
eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection. 1955-1965 - Shweta Jain, C. Seshadhri:
Provably and Efficiently Approximating Near-cliques using the Turán Shadow: PEANUTS. 1966-1976 - Daniele Dell'Aglio, Abraham Bernstein:
Differentially Private Stream Processing for the Semantic Web. 1977-1987 - Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. 1988-1998 - Chun Lo, Emilie de Longueau, Ankan Saha, Shaunak Chatterjee:
Edge formation in Social Networks to Nurture Content Creators. 1999-2008 - Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Open Intent Extraction from Natural Language Interactions. 2009-2020 - Hui-Ju Hung, Wang-Chien Lee, De-Nian Yang, Chih-Ya Shen, Zhen Lei, Sy-Miin Chow:
Efficient Algorithms towards Network Intervention. 2021-2031 - Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He:
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. 2032-2043 - Emaad A. Manzoor, Rui Li, Dhananjay Shrouty, Jure Leskovec:
Expanding Taxonomies with Implicit Edge Semantics. 2044-2054 - Danaja Maldeniya, Ceren Budak, Lionel P. Robert Jr., Daniel M. Romero:
Herding a Deluge of Good Samaritans: How GitHub Projects Respond to Increased Attention. 2055-2065 - Jonathan P. Chang, Justin Cheng, Cristian Danescu-Niculescu-Mizil:
Don't Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions. 2066-2077 - Yuxin Xiao, Adit Krishnan, Hari Sundaram:
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. 2078-2088 - Ana-Andreea Stoica, Jessy Xinyi Han, Augustin Chaintreau:
Seeding Network Influence in Biased Networks and the Benefits of Diversity. 2089-2098 - Geoffrey Ramseyer, Ashish Goel, David Mazières:
Liquidity in Credit Networks with Constrained Agents. 2099-2108 - Brown Farinholt, Mohammad Rezaeirad, Damon McCoy, Kirill Levchenko:
Dark Matter: Uncovering the DarkComet RAT Ecosystem. 2109-2120 - Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han:
Discriminative Topic Mining via Category-Name Guided Text Embedding. 2121-2132 - Natã M. Barbosa, Emily Sun, Judd Antin, Paolo Parigi:
Designing for Trust: A Behavioral Framework for Sharing Economy Platforms. 2133-2143 - Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu:
A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. 2144-2154 - Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra, Mounia Lalmas:
Algorithmic Effects on the Diversity of Consumption on Spotify. 2155-2165 - Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren:
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. 2166-2176 - Jyun-Yu Jiang, Patrick H. Chen, Cho-Jui Hsieh, Wei Wang:
Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. 2177-2187 - Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han:
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. 2188-2198 - Jibang Wu, Renqin Cai, Hongning Wang:
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation. 2199-2209 - Chang Wang, Bang Wang:
An End-to-end Topic-Enhanced Self-Attention Network for Social Emotion Classification. 2210-2219 - Zhe Xu, Chang Men, Peng Li, Bicheng Jin, Ge Li, Yue Yang, Chunyang Liu, Ben Wang, Xiaohu Qie:
When Recommender Systems Meet Fleet Management: Practical Study in Online Driver Repositioning System. 2220-2229 - Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He:
Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. 2230-2240 - Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han:
Collective Multi-type Entity Alignment Between Knowledge Graphs. 2241-2252 - Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz:
Characterizing Search-Engine Traffic to Internet Research Agency Web Properties. 2253-2263 - Wenjie Hu, Yang Yang, Jianbo Wang, Xuanwen Huang, Ziqiang Cheng:
Understanding Electricity-Theft Behavior via Multi-Source Data. 2264-2274 - Kevin Borgolte, Nick Feamster:
Understanding the Performance Costs and Benefits of Privacy-focused Browser Extensions. 2275-2286 - Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li:
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. 2287-2297 - Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen:
RLPer: A Reinforcement Learning Model for Personalized Search. 2298-2308 - Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang:
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. 2309-2319 - Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla:
Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. 2320-2330 - Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King:
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. 2331-2341 - Christof Naumzik, Patrick Zoechbauer, Stefan Feuerriegel:
Mining Points-of-Interest for Explaining Urban Phenomena: A Scalable Variational Inference Approach. 2342-2353 - Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen:
Large-Scale Talent Flow Embedding for Company Competitive Analysis. 2354-2364 - Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West:
Quantifying Engagement with Citations on Wikipedia. 2365-2376 - Xinyan Zhao, Feng Xiao, Haoming Zhong, Jun Yao, Huanhuan Chen:
Condition Aware and Revise Transformer for Question Answering. 2377-2387 - Zhen Guo, Zhe Zhang, Munindar P. Singh:
In Opinion Holders' Shoes: Modeling Cumulative Influence for View Change in Online Argumentation. 2388-2399 - Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma:
Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation. 2400-2410 - Payam Karisani, Joyce C. Ho, Eugene Agichtein:
Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media. 2411-2420 - Zhijing Wu, Jiaxin Mao, Yiqun Liu, Jingtao Zhan, Yukun Zheng, Min Zhang, Shaoping Ma:
Leveraging Passage-level Cumulative Gain for Document Ranking. 2421-2431 - Anthony Z. Liu, Santiago Guerra, Isaac Fung, Gabriel Matute, Ece Kamar, Walter S. Lasecki:
Towards Hybrid Human-AI Workflows for Unknown Unknown Detection. 2432-2442 - Kai Wei, Yu-Ru Lin, Muheng Yan:
Examining Protest as An Intervention to Reduce Online Prejudice: A Case Study of Prejudice Against Immigrants. 2443-2454
Session: Future of the Web Track
- Soumen Chakrabarti:
Interpretable Complex Question Answering. 2455-2457
Session: Short Paper
- Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao:
Practical Data Poisoning Attack against Next-Item Recommendation. 2458-2464 - Peng Yang, Ping Li:
Efficient Online Multi-Task Learning via Adaptive Kernel Selection. 2465-2471 - Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang:
Few-Shot Learning for New User Recommendation in Location-based Social Networks. 2472-2478 - Roee Shraga, Haggai Roitman, Guy Feigenblat, Mustafa Canim:
Ad Hoc Table Retrieval using Intrinsic and Extrinsic Similarities. 2479-2485 - Yanxiang Ling, Fei Cai, Honghui Chen, Maarten de Rijke:
Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems. 2486-2492 - Dhivya Eswaran, Srijan Kumar, Christos Faloutsos:
Higher-Order Label Homogeneity and Spreading in Graphs. 2493-2499 - Shuang Peng, Hengbin Cui, Niantao Xie, Sujian Li, Jiaxing Zhang, Xiaolong Li:
Enhanced-RCNN: An Efficient Method for Learning Sentence Similarity. 2500-2506 - Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. 2507-2513 - Zilong Wang, Zhaohong Wan, Xiaojun Wan:
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis. 2514-2520 - Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang:
Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. 2521-2527 - Md. Mehrab Tanjim, Congzhe Su, Ethan Benjamin, Diane Hu, Liangjie Hong, Julian J. McAuley:
Attentive Sequential Models of Latent Intent for Next Item Recommendation. 2528-2534 - Kai Luo, Scott Sanner, Ga Wu, Hanze Li, Hojin Yang:
Latent Linear Critiquing for Conversational Recommender Systems. 2535-2541 - Jiayi Xie, Yaochen Zhu, Zhibin Zhang, Jian Peng, Jing Yi, Yaosi Hu, Hongyi Liu, Zhenzhong Chen:
A Multimodal Variational Encoder-Decoder Framework for Micro-video Popularity Prediction. 2542-2548 - Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Graph-Query Suggestions for Knowledge Graph Exploration. 2549-2555 - Masayasu Muraoka, Tetsuya Nasukawa, Rudy Raymond, Bishwaranjan Bhattacharjee:
Visual Concept Naming: Discovering Well-Recognized Textual Expressions of Visual Concepts. 2556-2562 - Xiaoya Chong, Qing Li, Howard Leung, Qianhui Men, Xianjin Chao:
Hierarchical Visual-aware Minimax Ranking Based on Co-purchase Data for Personalized Recommendation. 2563-2569 - Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang:
A Cue Adaptive Decoder for Controllable Neural Response Generation. 2570-2576 - Haggai Roitman, Guy Feigenblat, Doron Cohen, Odellia Boni, David Konopnicki:
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-Focused Extractive Summarization. 2577-2584 - Guiliang Liu, Xu Li, Jiakang Wang, Mingming Sun, Ping Li:
Extracting Knowledge from Web Text with Monte Carlo Tree Search. 2585-2591 - Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. 2592-2598 - Hamed Rezaei, Balajee Vamanan:
ResQueue: A Smarter Datacenter Flow Scheduler. 2599-2605 - Huiqiang Mao, Yanzhi Li, Chenliang Li, Di Chen, Xiaoqing Wang, Yuming Deng:
PARS: Peers-aware Recommender System. 2606-2612 - Trung-Kien Tran, Mohamed H. Gad-Elrab, Daria Stepanova, Evgeny Kharlamov, Jannik Strötgen:
Fast Computation of Explanations for Inconsistency in Large-Scale Knowledge Graphs. 2613-2619 - Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma:
Review-guided Helpful Answer Identification in E-commerce. 2620-2626 - Se-eun Yoon, HyungSeok Song, Kijung Shin, Yung Yi:
How Much and When Do We Need Higher-order Informationin Hypergraphs? A Case Study on Hyperedge Prediction. 2627-2633 - Dongxiang Zhang, Yuyang Nie, Sai Wu, Yanyan Shen, Kian-Lee Tan:
Multi-Context Attention for Entity Matching. 2634-2640 - Zitao Liu, Guowei Xu, Tianqiao Liu, Weiping Fu, Yubi Qi, Wenbiao Ding, Yujia Song, Chaoyou Guo, Cong Kong, Songfan Yang, Gale Yan Huang:
Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education. 2641-2647 - Hechan Tian, Meng Zhang, Xiangyang Luo, Fenlin Liu, Yaqiong Qiao:
Twitter User Location Inference Based on Representation Learning and Label Propagation. 2648-2654 - Pantelis Pipergias Analytis, Daniel Barkoczi, Philipp Lorenz-Spreen, Stefan M. Herzog:
The Structure of Social Influence in Recommender Networks. 2655-2661 - Yifang Yin, Jagannadan Varadarajan, Guanfeng Wang, Xueou Wang, Dhruva Sahrawat, Roger Zimmermann, See-Kiong Ng:
A Multi-task Learning Framework for Road Attribute Updating via Joint Analysis of Map Data and GPS Traces. 2662-2668 - Sam Miller, Abeer ElBahrawy, Martin Dittus, Mark Graham, Joss Wright:
Predicting Drug Demand with Wikipedia Views: Evidence from Darknet Markets. 2669-2675 - Xiaotie Deng, Tao Lin, Tao Xiao:
Private Data Manipulation in Optimal Sponsored Search Auction. 2676-2682 - Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin:
Active Domain Transfer on Network Embedding. 2683-2689 - Shuai Zhao, Achir Kalra, Cristian Borcea, Yi Chen:
To be Tough or Soft: Measuring the Impact of Counter-Ad-blocking Strategies on User Engagement. 2690-2696 - Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi:
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. 2697-2703 - Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun:
Heterogeneous Graph Transformer. 2704-2710 - Alvis Logins, Yuchen Li, Panagiotis Karras:
On the Robustness of Cascade Diffusion under Node Attacks. 2711-2717 - Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. 2718-2724 - Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler:
Stabilizing Neural Search Ranking Models. 2725-2732 - Andrey Gusev, Jiajing Xu:
Evolution of a Web-Scale Near Duplicate Image Detection System. 2733-2739 - Shota Yasui, Gota Morishita, Komei Fujita, Masashi Shibata:
A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback. 2740-2746 - Lijun Chang, Miao Qiao:
Deconstruct Densest Subgraphs. 2747-2753 - Yaowei Zheng, Richong Zhang, Suyuchen Wang, Samuel Mensah, Yongyi Mao:
Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification. 2754-2760 - Stergios Stergiou:
Scaling PageRank to 100 Billion Pages. 2761-2767 - Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. 2768-2774 - Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani:
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning. 2775-2781 - Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang:
ROSE: Role-based Signed Network Embedding. 2782-2788 - Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Natural Key Discovery in Wikipedia Tables. 2789-2795 - Samed Atouati, Xiao Lu, Mauro Sozio:
Negative Purchase Intent Identification in Twitter. 2796-2802 - Victor Kristof, Matthias Grossglauser, Patrick Thiran:
War of Words: The Competitive Dynamics of Legislative Processes. 2803-2809 - Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Deep Rating Elicitation for New Users in Collaborative Filtering. 2810-2816 - Unmesh Joshi, Jacopo Urbani:
Searching for Embeddings in a Haystack: Link Prediction on Knowledge Graphs with Subgraph Pruning. 2817-2823 - Flavio Chierichetti, Ravi Kumar, Andrew Tomkins:
Asymptotic Behavior of Sequence Models. 2824-2830 - Kasper Green Larsen, Michael Mitzenmacher, Charalampos E. Tsourakakis:
Clustering with a faulty oracle. 2831-2834 - Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler:
Matching Cross Network for Learning to Rank in Personal Search. 2835-2841 - Jianghong Zhou, Eugene Agichtein:
RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search. 2842-2848 - Meike Zehlike, Carlos Castillo:
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach. 2849-2855 - Porter Jenkins, Jennifer Zhao, Heath Vinicombe, Anant Subramanian, Arun Prasad, Atillia Dobi, Eileen Li, Yunsong Guo:
Natural Language Annotations for Search Engine Optimization. 2856-2862 - Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Graph Enhanced Representation Learning for News Recommendation. 2863-2869 - Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed H. Chi, Harish Ganapathy, Nitin Jindal, Pei Cao, Wei Wang:
End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. 2870-2877 - Seungbae Kim, Jyun-Yu Jiang, Masaki Nakada, Jinyoung Han, Wei Wang:
Multimodal Post Attentive Profiling for Influencer Marketing. 2878-2884 - Simone Filice, Nachshon Cohen, David Carmel:
Voice-based Reformulation of Community Answers. 2885-2891 - Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. 2892-2898 - Nikesh Joshi, Francesca Spezzano, Mayson Green, Elijah Hill:
Detecting Undisclosed Paid Editing in Wikipedia. 2899-2905 - Taisa Kushner, Amit Sharma:
Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums. 2906-2912 - Riccardo Colini-Baldeschi, Stefano Leonardi, Okke Schrijvers, Eric Sodomka:
Envy, Regret, and Social Welfare Loss. 2913-2919 - Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy:
ShapeVis: High-dimensional Data Visualization at Scale. 2920-2926 - Huda Nassar, Caitlin Kennedy, Shweta Jain, Austin R. Benson, David F. Gleich:
Using Cliques with Higher-order Spectral Embeddings Improves Graph Visualizations. 2927-2933 - Yuqing Xie, Wei Yang, Luchen Tan, Kun Xiong, Nicholas Jing Yuan, Baoxing Huai, Ming Li, Jimmy Lin:
Distant Supervision for Multi-Stage Fine-Tuning in Retrieval-Based Question Answering. 2934-2940 - Aleksandr Artemenkov, Maxim Panov:
NCVis: Noise Contrastive Approach for Scalable Visualization. 2941-2947 - Simon S. Woo, Hanbin Jang, Woojung Ji, Hyoungshick Kim:
I've Got Your Packages: Harvesting Customers' Delivery Order Information using Package Tracking Number Enumeration Attacks. 2948-2954 - Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin:
Crowdsourcing Detection of Sampling Biases in Image Datasets. 2955-2961 - Subendhu Rongali, Luca Soldaini, Emilio Monti, Wael Hamza:
Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing. 2962-2968 - Xing Zhao, Ziwei Zhu, Majid Alfifi, James Caverlee:
Addressing the Target Customer Distortion Problem in Recommender Systems. 2969-2975 - Rediet Abebe, Salvatore Giorgi, Anna Tedijanto, Anneke Buffone, H. Andrew Schwartz:
Quantifying Community Characteristics of Maternal Mortality Using Social Media. 2976-2983 - Yin Zhang, Yun He, Jianling Wang, James Caverlee:
Adaptive Hierarchical Translation-based Sequential Recommendation. 2984-2990 - Shahab Raji, Gerard de Melo:
What Sparks Joy: The AffectVec Emotion Database. 2991-2997 - Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff:
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew. 2998-3004 - Alexandre Maros, Jussara M. Almeida, Fabrício Benevenuto, Marisa Vasconcelos:
Analyzing the Use of Audio Messages in WhatsApp Groups. 3005-3011 - Xuhai Xu, Ahmed Hassan Awadallah, Susan T. Dumais, Farheen Omar, Bogdan Popp, Robert Rounthwaite, Farnaz Jahanbakhsh:
Understanding User Behavior For Document Recommendation. 3012-3018 - Minghong Fang, Neil Zhenqiang Gong, Jia Liu:
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. 3019-3025 - Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi:
Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. 3026-3032 - Hind A. Al-Merekhi, Haewoon Kwak, Joni Salminen, Bernard J. Jansen:
Are These Comments Triggering? Predicting Triggers of Toxicity in Online Discussions. 3033-3040 - Harrisen Scells, Guido Zuccon, Mohamed A. Sharaf, Bevan Koopman:
Sampling Query Variations for Learning to Rank to Improve Automatic Boolean Query Generation in Systematic Reviews. 3041-3048 - Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang:
Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. 3049-3055 - Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. 3056-3062 - Sadegh Farhang, Mehmet Bahadir Kirdan, Aron Laszka, Jens Grossklags:
An Empirical Study of Android Security Bulletins in Different Vendors. 3063-3069 - Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang:
One2Multi Graph Autoencoder for Multi-view Graph Clustering. 3070-3076 - Xin Wang, Xu Li, Jinxing Yu, Mingming Sun, Ping Li:
Improved Touch-screen Inputting Using Sequence-level Prediction Generation. 3077-3083 - Prasenjit Dey, Kunal Goel, Rahul Agrawal:
P-Simrank: Extending Simrank to Scale-Free Bipartite Networks. 3084-3090 - Carolina Coimbra Vieira, Filipe Ribeiro, Pedro Olmo Stancioli Vaz de Melo, Fabrício Benevenuto, Emilio Zagheni:
Using Facebook Data to Measure Cultural Distance between Countries: The Case of Brazilian Cuisine. 3091-3097 - Liang Zhang, Xudong Wang, Hongsheng Li, Guangming Zhu, Peiyi Shen, Ping Li, Xiaoyuan Lu, Syed Afaq Ali Shah, Mohammed Bennamoun:
Structure-Feature based Graph Self-adaptive Pooling. 3098-3104 - Xingwen Zhang, Feng Qi, Zhigang Hua, Shuang Yang:
Solving Billion-Scale Knapsack Problems. 3105-3111 - Weikang Bian, Wei Meng, Mingxue Zhang:
MineThrottle: Defending against Wasm In-Browser Cryptojacking. 3112-3118 - Christof Naumzik, Stefan Feuerriegel:
One Picture Is Worth a Thousand Words? The Pricing Power of Images in e-Commerce. 3119-3125 - Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
Learning Model-Agnostic Counterfactual Explanations for Tabular Data. 3126-3132 - Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He:
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. 3133-3139
Keynote Talk
- Yolanda Gil:
Embedding the Scientific Record on the Web: Towards Automating Scientific Discoveries. 3140 - Nigel Shadbolt:
Architectures for Autonomy: Towards an Equitable Web of Data in the Age of AI. 3141-3142 - Wei-Ying Ma:
Democratizing Content Creation and Dissemination through AI Technology. 3143
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