| 2019 | "Data Strikes": Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies. Nicholas Vincent, Brent J. Hecht, Shilad Sen |
| 2019 | "It's almost like they're trying to hide it": How User-Provided Image Descriptions Have Failed to Make Twitter Accessible. Cole Gleason, Patrick Carrington, Cameron Tyler Cassidy, Meredith Ringel Morris, Kris M. Kitani, Jeffrey P. Bigham |
| 2019 | (Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures. Gustavo Resende, Philipe F. Melo, Hugo Sousa, Johnnatan Messias, Marisa Vasconcelos, Jussara M. Almeida, Fabrício Benevenuto |
| 2019 | ?-Diagnosis: Unsupervised and Real-time Diagnosis of Small- window Long-tail Latency in Large-scale Microservice Platforms. Huasong Shan, Yuan Chen, Haifeng Liu, Yunpeng Zhang, Xiao Xiao, Xiaofeng He, Min Li, Wei Ding |
| 2019 | A Dynamic Embedding Model of the Media Landscape. Jérémie Rappaz, Dylan Bourgeois, Karl Aberer |
| 2019 | A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction. Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou |
| 2019 | A First Look at Deep Learning Apps on Smartphones. Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu |
| 2019 | A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs. Jeffery Ansah, Lin Liu, Wei Kang, Selasi Kwashie, Jixue Li, Jiuyong Li |
| 2019 | A Hierarchical Attention Retrieval Model for Healthcare Question Answering. Ming Zhu, Aman Ahuja, Wei Wei, Chandan K. Reddy |
| 2019 | A Human-in-the-loop Attribute Design Framework for Classification. Md. Abdus Salam, Mary E. Koone, Saravanan Thirumuruganathan, Gautam Das, Senjuti Basu Roy |
| 2019 | A Hybrid BitFunnel and Partitioned Elias-Fano Inverted Index. Xinyu Liu, Zhaohua Zhang, Rebecca J. Stones, Yusen Li, Gang Wang, Xiaoguang Liu |
| 2019 | A Large-scale Study of Wikipedia Users' Quality of Experience. Flavia Salutari, Diego N. da Hora, Gilles Dubuc, Dario Rossi |
| 2019 | A Large-scale Study on the Risks of the HTML5 WebAPI for Mobile Sensor-based Attacks. Francesco Marcantoni, Michalis Diamantaris, Sotiris Ioannidis, Jason Polakis |
| 2019 | A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. Jathushan Rajasegaran, Naveen Karunanayake, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon |
| 2019 | A Multimodal Text Matching Model for Obfuscated Language Identification in Adversarial Communication? Longtao Huang, Ting Ma, Junyu Lin, Jizhong Han, Songlin Hu |
| 2019 | A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity. Fanshuang Kong, Richong Zhang, Hongyu Guo, Samuel Mensah, Zhiyuan Hu, Yongyi Mao |
| 2019 | A Novel Generative Topic Embedding Model by Introducing Network Communities. Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang |
| 2019 | A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts. Xueying Wang, Haiqiao Zhang, Qi Li, Yiyu Shi, Meng Jiang |
| 2019 | A Scalable Hybrid Research Paper Recommender System for Microsoft Academic. Anshul Kanakia, Zhihong Shen, Darrin Eide, Kuansan Wang |
| 2019 | A Semi-Supervised Active-learning Truth Estimator for Social Networks. Hang Cui, Tarek F. Abdelzaher, Lance M. Kaplan |
| 2019 | A Tree-Structured Neural Network Model for Household Energy Breakdown. Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse |
| 2019 | Abstractive Meeting Summarization via Hierarchical Adaptive Segmental Network Learning. Zhou Zhao, Haojie Pan, Changjie Fan, Yan Liu, Linlin Li, Min Yang |
| 2019 | ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs. Natalia Ostapuk, Jie Yang, Philippe Cudré-Mauroux |
| 2019 | Adaptive matrix completion for the users and the items in tail. Mohit Sharma, George Karypis |
| 2019 | Addressing Trust Bias for Unbiased Learning-to-Rank. Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork |
| 2019 | Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues. Shanu Kumar, Shubham Atreja, Anjali Singh, Mohit Jain |
| 2019 | Adversarial Point-of-Interest Recommendation. Fan Zhou, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Jin Wu |
| 2019 | Adversarial Sampling and Training for Semi-Supervised Information Retrieval. Dae Hoon Park, Yi Chang |
| 2019 | Adversarial Training Methods for Network Embedding. Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang |
| 2019 | Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng |
| 2019 | Alleviating Users' Pain of Waiting: Effective Task Grouping for Online-to-Offline Food Delivery Services. Shenggong Ji, Yu Zheng, Zhaoyuan Wang, Tianrui Li |
| 2019 | An Investigation of Cyber Autonomy on Government Websites. Hsu-Chun Hsiao, Tiffany Hyun-Jin Kim, Yu-Ming Ku, Chun-Ming Chang, Hung-Fang Chen, Yu-Jen Chen, Chun-Wen Wang, Wei Jeng |
| 2019 | Anomaly Detection in the Dynamics of Web and Social Networks Using Associative Memory. Volodymyr Miz, Benjamin Ricaud, Kirell Benzi, Pierre Vandergheynst |
| 2019 | Anything to Hide? Studying Minified and Obfuscated Code in the Web. Philippe Skolka, Cristian-Alexandru Staicu, Michael Pradel |
| 2019 | Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities. Tiago Cunha, David Jurgens, Chenhao Tan, Daniel M. Romero |
| 2019 | Aspect-level Sentiment Analysis using AS-Capsules. Yequan Wang, Aixin Sun, Minlie Huang, Xiaoyan Zhu |
| 2019 | Auditing Offline Data Brokers via Facebook's Advertising Platform. Giridhari Venkatadri, Piotr Sapiezynski, Elissa M. Redmiles, Alan Mislove, Oana Goga, Michelle L. Mazurek, Krishna P. Gummadi |
| 2019 | Auditing the Partisanship of Google Search Snippets. Desheng Hu, Shan Jiang, Ronald E. Robertson, Christo Wilson |
| 2019 | Augmenting Knowledge Tracing by Considering Forgetting Behavior. Koki Nagatani, Qian Zhang, Masahiro Sato, Yan-Ying Chen, Francine Chen, Tomoko Ohkuma |
| 2019 | Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning. Chen Zhao, Yeye He |
| 2019 | Automated Fact Checking in the News Room. Sebastião Miranda, David Nogueira, Afonso Mendes, Andreas Vlachos, Andrew Secker, Rebecca Garrett, Jeff Mitchell, Zita Marinho |
| 2019 | Automatic Boolean Query Refinement for Systematic Review Literature Search. Harrisen Scells, Guido Zuccon, Bevan Koopman |
| 2019 | Automatic Generation of Pattern-controlled Product Description in E-commerce. Tao Zhang, Jin Zhang, Chengfu Huo, Weijun Ren |
| 2019 | Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues. Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John A. Stankovic |
| 2019 | BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy |
| 2019 | BaG: Behavior-aware Group Detection in Crowded Urban Spaces using WiFi Probes. Jiaxing Shen, Jiannong Cao, Xuefeng Liu |
| 2019 | Bayesian Exploration with Heterogeneous Agents. Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu |
| 2019 | Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts. Rajarshi Bhowmik, Gerard de Melo |
| 2019 | Before and After GDPR: The Changes in Third Party Presence at Public and Private European Websites. Jannick Kirk Sørensen, Sokol Kosta |
| 2019 | Beyond Shortest Paths: Route Recommendations for Ride-sharing. Chak Fai Yuen, Abhishek Pratap Singh, Sagar Goyal, Sayan Ranu, Amitabha Bagchi |
| 2019 | Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents. Rabah A. Al-Zaidy, Cornelia Caragea, C. Lee Giles |
| 2019 | Blockchain Mining Games with Pay Forward. Elias Koutsoupias, Philip Lazos, Foluso Ogunlana, Paolo Serafino |
| 2019 | BoFGAN: Towards A New Structure of Backward-or-Forward Generative Adversarial Nets. M. K. Sophie Chen, Xinyi Lin, Wei Chen, Rui Yan |
| 2019 | Bootstrapping Domain-Specific Content Discovery on the Web. Kien Pham, Aécio S. R. Santos, Juliana Freire |
| 2019 | BotCamp: Bot-driven Interactions in Social Campaigns. Noor Abu-El-Rub, Abdullah Mueen |
| 2019 | Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search. Alexandra Vtyurina, Adam Fourney, Meredith Ringel Morris, Leah Findlater, Ryen W. White |
| 2019 | CBHE: Corner-based Building Height Estimation for Complex Street Scene Images. Yunxiang Zhao, Jianzhong Qi, Rui Zhang |
| 2019 | Can You Give Me a Reason?: Argument-inducing Online Forum by Argument Mining. Makiko Ida, Gaku Morio, Kosui Iwasa, Tomoyuki Tatsumi, Takaki Yasui, Katsuhide Fujita |
| 2019 | Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit. Maria Glenski, Emily Saldanha, Svitlana Volkova |
| 2019 | Choosing to Grow a Graph: Modeling Network Formation as Discrete Choice. Jan Overgoor, Austin R. Benson, Johan Ugander |
| 2019 | Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability. Miriam Redi, Besnik Fetahu, Jonathan T. Morgan, Dario Taraborelli |
| 2019 | City-Wide Signal Strength Maps: Prediction with Random Forests. Emmanouil Alimpertis, Athina Markopoulou, Carter T. Butts, Konstantinos Psounis |
| 2019 | CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li |
| 2019 | Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover's Distance Space. Changchun Li, Jihong Ouyang, Ximing Li |
| 2019 | Click Feedback-Aware Query Recommendation Using Adversarial Examples. Ruirui Li, Liangda Li, Xian Wu, Yunhong Zhou, Wei Wang |
| 2019 | CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users. Dilruk Perera, Roger Zimmermann |
| 2019 | CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning. Ziyu Yao, Jayavardhan Reddy Peddamail, Huan Sun |
| 2019 | Collaborative Similarity Embedding for Recommender Systems. Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yi-Hsuan Yang |
| 2019 | Community Detection through Likelihood Optimization: In Search of a Sound Model. Liudmila Ostroumova Prokhorenkova, Alexey Tikhonov |
| 2019 | CommunityGAN: Community Detection with Generative Adversarial Nets. Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang |
| 2019 | Constrained Local Graph Clustering by Colored Random Walk. Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang |
| 2019 | Constructing Test Collections using Multi-armed Bandits and Active Learning. Md. Mustafizur Rahman, Mücahid Kutlu, Matthew Lease |
| 2019 | Context-Aware Sequential Recommendations withStacked Recurrent Neural Networks. Lakshmanan Rakkappan, Vaibhav Rajan |
| 2019 | Context-Sensitive Malicious Spelling Error Correction. Hongyu Gong, Yuchen Li, Suma Bhat, Pramod Viswanath |
| 2019 | Context-aware Variational Trajectory Encoding and Human Mobility Inference. Fan Zhou, Xiaoli Yue, Goce Trajcevski, Ting Zhong, Kunpeng Zhang |
| 2019 | ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections. Tuan M. V. Le, Leman Akoglu |
| 2019 | Cookie Synchronization: Everything You Always Wanted to Know But Were Afraid to Ask. Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos |
| 2019 | Cross-Network Embedding for Multi-Network Alignment. Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi |
| 2019 | Cross-domain Recommendation Without Sharing User-relevant Data. Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin |
| 2019 | Crowd-Mapping Urban Objects from Street-Level Imagery. Sihang Qiu, Achilleas Psyllidis, Alessandro Bozzon, Geert-Jan Houben |
| 2019 | CrowdPT: Summarizing Crowd Opinions as Professional Analyst. Chung-Chi Chen, Hen-Hsen Huang, Chia-Wen Tsai, Hsin-Hsi Chen |
| 2019 | Current Flow Group Closeness Centrality for Complex Networks? Huan Li, Richard Peng, Liren Shan, Yuhao Yi, Zhongzhi Zhang |
| 2019 | Cyberbullying Ends Here: Towards Robust Detection of Cyberbullying in Social Media. Mengfan Yao, Charalampos Chelmis, Daphney-Stavroula Zois |
| 2019 | DDGK: Learning Graph Representations for Deep Divergence Graph Kernels. Rami Al-Rfou, Bryan Perozzi, Dustin Zelle |
| 2019 | DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji |
| 2019 | DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data. Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, Depeng Jin |
| 2019 | Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization. Alessandro Nuara, Nicola Sosio, Francesco Trovò, Maria Chiara Zaccardi, Nicola Gatti, Marcello Restelli |
| 2019 | Debiasing Vandalism Detection Models at Wikidata. Stefan Heindorf, Yan Scholten, Gregor Engels, Martin Potthast |
| 2019 | Decoupled Smoothing on Graphs. Alex Chin, Yatong Chen, Kristen M. Altenburger, Johan Ugander |
| 2019 | Deep Learning for Solving Important Problems. Jeff Dean |
| 2019 | Demographic Inference and Representative Population Estimates from Multilingual Social Media Data. Zijian Wang, Scott A. Hale, David Ifeoluwa Adelani, Przemyslaw A. Grabowicz, Timo Hartmann, Fabian Flöck, David Jurgens |
| 2019 | Deriving User- and Content-specific Rewards for Contextual Bandits. Paolo Dragone, Rishabh Mehrotra, Mounia Lalmas |
| 2019 | Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning. Jing Ma, Wei Gao, Kam-Fai Wong |
| 2019 | Detecting Low Self-Esteem in Youths from Web Search Data. Anis Zaman, Rupam Acharyya, Henry A. Kautz, Vincent Silenzio |
| 2019 | Detection and Analysis of Self-Disclosure in Online News Commentaries. Prasanna Umar, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer |
| 2019 | Discovering Product Defects and Solutions from Online User Generated Contents. Xuan Zhang, Zhilei Qiao, Aman Ahuja, Weiguo Fan, Edward A. Fox, Chandan K. Reddy |
| 2019 | Distributed Algorithms for Fully Personalized PageRank on Large Graphs. Wenqing Lin |
| 2019 | Distributed Tensor Decomposition for Large Scale Health Analytics. Huan He, Jette Henderson, Joyce C. Ho |
| 2019 | Diversity and Exploration in Social Learning. Nicole Immorlica, Jieming Mao, Christos Tzamos |
| 2019 | Dixit: Interactive Visual Storytelling via Term Manipulation. Chao-Chun Hsu, Yu-Hua Chen, Zi-Yuan Chen, Hsin-Yu Lin, Ting-Hao (Kenneth) Huang, Lun-Wei Ku |
| 2019 | Domain-Constrained Advertising Keyword Generation. Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu |
| 2019 | Domain-aware Neural Model for Sequence Labeling using Joint Learning. Heng Huang, Xiaozhong Liu, Yuliang Yan |
| 2019 | Doppelgängers on the Dark Web: A Large-scale Assessment on Phishing Hidden Web Services. Changhoon Yoon, Kwanwoo Kim, Yongdae Kim, Seungwon Shin, Sooel Son |
| 2019 | Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang |
| 2019 | Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems. Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen |
| 2019 | Dual Neural Personalized Ranking. Seunghyeon Kim, Jongwuk Lee, Hyunjung Shim |
| 2019 | Dynamic Deep Multi-modal Fusion for Image Privacy Prediction. Ashwini Tonge, Cornelia Caragea |
| 2019 | Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests. Qingyun Wu, Huazheng Wang, Yanen Li, Hongning Wang |
| 2019 | Efficient (a,β)-core Computation: an Index-based Approach. Boge Liu, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Jingren Zhou |
| 2019 | Efficient Interaction-based Neural Ranking with Locality Sensitive Hashing. Shiyu Ji, Jinjin Shao, Tao Yang |
| 2019 | Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification. Huiru Xiao, Xin Liu, Yangqiu Song |
| 2019 | Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye |
| 2019 | Embarrassingly Shallow Autoencoders for Sparse Data. Harald Steck |
| 2019 | Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu |
| 2019 | Enhancing Fashion Recommendation with Visual Compatibility Relationship. Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang |
| 2019 | Enlisting the Public to Build a Healthier Web Information Commons. Claire Wardle |
| 2019 | Enlisting the Public to Build a Healthier Web Information Commons. Amin Mantrach, Fabrizio Silvestri |
| 2019 | Enriching News Articles with Related Search Queries. David Carmel, Yaroslav Fyodorov, Saar Kuzi, Avihai Mejer, Fiana Raiber, Elad Rainshmidt |
| 2019 | Entity Personalized Talent Search Models with Tree Interaction Features. Cagri Ozcaglar, Sahin Cem Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan |
| 2019 | Estimating Walk-Based Similarities Using Random Walk. Shogo Murai, Yuichi Yoshida |
| 2019 | Estimating the Total Volume of Queries to Google. Fabrizio Lillo, Salvatore Ruggieri |
| 2019 | Evaluating Anti-Fingerprinting Privacy Enhancing Technologies. Amit Datta, Jianan Lu, Michael Carl Tschantz |
| 2019 | Evaluating Login Challenges as aDefense Against Account Takeover. Periwinkle Doerfler, Kurt Thomas, Maija Marincenko, Juri Ranieri, Yu Jiang, Angelika Moscicki, Damon McCoy |
| 2019 | Evaluating Neural Text Simplification in the Medical Domain. Laurens Van den Bercken, Robert-Jan Sips, Christoph Lofi |
| 2019 | Evaluating User Actions as a Proxy for Email Significance. Tarfah Alrashed, Chia-Jung Lee, Peter Bailey, Christopher H. Lin, Milad Shokouhi, Susan T. Dumais |
| 2019 | Event Detection using Hierarchical Multi-Aspect Attention. Sneha Mehta, Mohammad Raihanul Islam, Huzefa Rangwala, Naren Ramakrishnan |
| 2019 | Event-Driven Analysis of Crowd Dynamics in the Black Lives Matter Online Social Movement. Hao Peng, Ceren Budak, Daniel M. Romero |
| 2019 | ExQuisiTe: Explaining Quantities in Text. Yusra Ibrahim, Gerhard Weikum |
| 2019 | Exam Keeper: Detecting Questions with Easy-to-Find Answers. Ting-Lun Hsu, Shih-Chieh Dai, Lun-Wei Ku |
| 2019 | Exploiting Diversity in Android TLS Implementations for Mobile App Traffic Classification. Satadal Sengupta, Niloy Ganguly, Pradipta De, Sandip Chakraborty |
| 2019 | Exploiting Ratings, Reviews and Relationships for Item Recommendations in Topic Based Social Networks. Pengfei Li, Hua Lu, Gang Zheng, Qian Zheng, Long Yang, Gang Pan |
| 2019 | Exploring Perceived Emotional Intelligence of Personality-Driven Virtual Agents in Handling User Challenges. Xiaojuan Ma, Emily P. Yang, Pascale Fung |
| 2019 | Exploring User Behavior in Email Re-Finding Tasks. Joel M. Mackenzie, Kshitiz Gupta, Fang Qiao, Ahmed Hassan Awadallah, Milad Shokouhi |
| 2019 | Externalities and Fairness. Masoud Seddighin, Hamed Saleh, Mohammad Ghodsi |
| 2019 | FARE: Diagnostics for Fair Ranking using Pairwise Error Metrics. Caitlin Kuhlman, MaryAnn Van Valkenburg, Elke A. Rundensteiner |
| 2019 | Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality. Aria Khademi, Sanghack Lee, David Foley, Vasant G. Honavar |
| 2019 | Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction. Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang |
| 2019 | Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods. A. B. M. Moniruzzaman, Richi Nayak, Maolin Tang, Balasubramaniam Thirunavukarasu |
| 2019 | Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort. Duilio Balsamo, Paolo Bajardi, André Panisson |
| 2019 | Focusing Attention Network for Answer Ranking. Yufei Xie, Shuchun Liu, Tangren Yao, Yao Peng, Zhao Lu |
| 2019 | Forecasting U.S. Domestic Migration Using Internet Search Queries. Allen Yilun Lin, Justin Cranshaw, Scott Counts |
| 2019 | From Small-scale to Large-scale Text Classification. Kang-Min Kim, Yeachan Kim, Jungho Lee, Ji-Min Lee, SangKeun Lee |
| 2019 | From Stances' Imbalance to Their HierarchicalRepresentation and Detection. Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz |
| 2019 | Fuzzy Multi-task Learning for Hate Speech Type Identification. Han Liu, Pete Burnap, Wafa Alorainy, Matthew L. Williams |
| 2019 | Gaps in Information Access in Social Networks? Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian |
| 2019 | Generalists and Specialists: Using Community Embeddings to Quantify Activity Diversity in Online Platforms. Isaac Waller, Ashton Anderson |
| 2019 | Generating Product Descriptions from User Reviews. Slava Novgorodov, Guy Elad, Ido Guy, Kira Radinsky |
| 2019 | Generating Titles for Web Tables. Braden Hancock, Hongrae Lee, Cong Yu |
| 2019 | Generative Graph Models based on Laplacian Spectra? Alana Shine, David Kempe |
| 2019 | Genre Differences of Song Lyrics and Artist Wikis: An Analysis of Popularity, Length, Repetitiveness, and Readability. Markus Schedl |
| 2019 | GhostLink: Latent Network Inference for Influence-aware Recommendation. Subhabrata Mukherjee, Stephan Günnemann |
| 2019 | Global Vectors for Node Representations. Robin Brochier, Adrien Guille, Julien Velcin |
| 2019 | Globally-Optimized Realtime Supply-Demand Matching in On-Demand Ridesharing. Yifang Liu, Will Skinner, Chongyuan Xiang |
| 2019 | Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. Mitchell L. Gordon, Tim Althoff, Jure Leskovec |
| 2019 | Google Dataset Search: Building a search engine for datasets in an open Web ecosystem. Dan Brickley, Matthew Burgess, Natasha F. Noy |
| 2019 | Gradual Machine Learning for Entity Resolution. Boyi Hou, Qun Chen, Jiquan Shen, Xin Liu, Ping Zhong, Yanyan Wang, Zhaoqiang Chen, Zhanhuai Li |
| 2019 | Graph Neural Networks for Social Recommendation. Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin |
| 2019 | Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics. Xuan-Son Vu, Addi Ait-Mlouk, Erik Elmroth, Lili Jiang |
| 2019 | GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. Zhaocheng Zhu, Shizhen Xu, Jian Tang, Meng Qu |
| 2019 | GraviTIE: Exploratory Analysis of Large-Scale Heterogeneous Image Collections. Sean T. Yang, Luke Rodriguez, Jevin D. West, Bill Howe |
| 2019 | Grid-based Evaluation Metrics for Web Image Search. Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Yunqiu Shao, Zixin Ye, Min Zhang, Shaoping Ma |
| 2019 | Growing Attributed Networks through Local Processes. Harshay Shah, Suhansanu Kumar, Hari Sundaram |
| 2019 | Hack for Hire: Exploring the Emerging Market for Account Hijacking. Ariana Mirian, Joe DeBlasio, Stefan Savage, Geoffrey M. Voelker, Kurt Thomas |
| 2019 | Heterogeneous Graph Attention Network. Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu |
| 2019 | Heterographic Pun Recognition via Pronunciation and Spelling Understanding Gated Attention Network. Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Di Wu, Dongyu Zhang, Kan Xu |
| 2019 | Hierarchical Neural Variational Model for Personalized Sequential Recommendation. Teng Xiao, Shangsong Liang, Zaiqiao Meng |
| 2019 | Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec |
| 2019 | HopRank: How Semantic Structure Influences Teleportation in PageRank (A Case Study on BioPortal). Lisette Espín-Noboa, Florian Lemmerich, Simon Walk, Markus Strohmaier, Mark A. Musen |
| 2019 | How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation. Zongtao Liu, Yang Yang, Wei Huang, Zhongyi Tang, Ning Li, Fei Wu |
| 2019 | How Intention Informed Recommendations Modulate Choices: A Field Study of Spoken Word Content. Longqi Yang, Michael Sobolev, Yu Wang, Jenny Chen, Drew Dunne, Christina Tsangouri, Nicola Dell, Mor Naaman, Deborah Estrin |
| 2019 | How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks. Muhammad Saleem, Gábor Szárnyas, Felix Conrads, Syed Ahmad Chan Bukhari, Qaiser Mehmood, Axel-Cyrille Ngonga Ngomo |
| 2019 | How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. Li Chen, Yonghua Yang, Ningxia Wang, Keping Yang, Quan Yuan |
| 2019 | Improved Cross-Lingual Question Retrieval for Community Question Answering. Andreas Rücklé, Krishnkant Swarnkar, Iryna Gurevych |
| 2019 | Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources. Tian Bai, Slobodan Vucetic |
| 2019 | Improving Multiclass Classification in Crowdsourcing by Using Hierarchical Schemes. Xiaoni Duan, Keishi Tajima |
| 2019 | Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke |
| 2019 | Improving Outfit Recommendation with Co-supervision of Fashion Generation. Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | Improving Top-K Recommendation via JointCollaborative Autoencoders. Ziwei Zhu, Jianling Wang, James Caverlee |
| 2019 | Improving Treatment Effect Estimators Through Experiment Splitting. Dominic Coey, Tom Cunningham |
| 2019 | Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu |
| 2019 | InfraNodus: Generating Insight Using Text Network Analysis. Dmitry Paranyushkin |
| 2019 | Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews. Kristen M. Altenburger, Daniel E. Ho |
| 2019 | Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts. Alessandro Epasto, Bryan Perozzi |
| 2019 | Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses. Xidao Wen, Yu-Ru Lin, Xi Liu, Peter Brusilovsky, Jordan Barria-Pineda |
| 2019 | Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen |
| 2019 | Joint Entity Linking with Deep Reinforcement Learning. Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu |
| 2019 | Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang |
| 2019 | Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, Xiang Ren |
| 2019 | Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations. Rishabh Mehrotra, Mounia Lalmas, Doug Kenney, Thomas Lim-Meng, Golli Hashemian |
| 2019 | Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks. Dongyu Zhang, Teng Guo, Hanxiao Pan, Jie Hou, Zhitao Feng, Liang Yang, Hongfei Lin, Feng Xia |
| 2019 | Keyphrase Extraction from Disaster-related Tweets. Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea |
| 2019 | Knowledge Graph Convolutional Networks for Recommender Systems. Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo |
| 2019 | Knowledge-Enhanced Ensemble Learning for Word Embeddings. Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu |
| 2019 | Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit P. Sheth, Randy S. Welton, Jyotishman Pathak |
| 2019 | Language in Our Time: An Empirical Analysis of Hashtags. Yang Zhang |
| 2019 | Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning. Dingcheng Li, Jingyuan Zhang, Ping Li |
| 2019 | Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen |
| 2019 | Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation. Laure Berti-Équille |
| 2019 | LearnerExp: Exploring and Explaining the Time Management of Online Learning Activity. Huan He, Qinghua Zheng, Bo Dong |
| 2019 | Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2019 | Learning Clusters through Information Diffusion. Liudmila Ostroumova Prokhorenkova, Alexey Tikhonov, Nelly Litvak |
| 2019 | Learning Dual Retrieval Module for Semi-supervised Relation Extraction. Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren |
| 2019 | Learning Edge Properties in Graphs from Path Aggregations. Rakshit Agrawal, Luca de Alfaro |
| 2019 | Learning Fast Matching Models from Weak Annotations. Xue Li, Zhipeng Luo, Hao Sun, Jianjin Zhang, Weihao Han, Xianqi Chu, Liangjie Zhang, Qi Zhang |
| 2019 | Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations. Hongyang Gao, Yongjun Chen, Shuiwang Ji |
| 2019 | Learning How to Correct a Knowledge Base from the Edit History. Thomas Pellissier Tanon, Camille Bourgaux, Fabian M. Suchanek |
| 2019 | Learning Intent to Book Metrics for Airbnb Search. Bradley C. Turnbull |
| 2019 | Learning Novelty-Aware Ranking of Answers to Complex Questions. Shahar Harel, Sefi Albo, Eugene Agichtein, Kira Radinsky |
| 2019 | Learning Resolution Parameters for Graph Clustering. Nate Veldt, David F. Gleich, Anthony Wirth |
| 2019 | Learning Semantic Models of Data Sources Using Probabilistic Graphical Models. Binh Vu, Craig A. Knoblock, Jay Pujara |
| 2019 | Learning Task-Specific City Region Partition. Hongjian Wang, Porter Jenkins, Hua Wei, Fei Wu, Zhenhui Li |
| 2019 | Learning Travel Time Distributions with Deep Generative Model. Xiucheng Li, Gao Cong, Aixin Sun, Yun Cheng |
| 2019 | Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li |
| 2019 | Learning from On-Line User Feedback in Neural Question Answering on the Web. Bernhard Kratzwald, Stefan Feuerriegel |
| 2019 | Learning to Generate Questions by LearningWhat not to Generate. Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu |
| 2019 | Leveraging Peer Communication to Enhance Crowdsourcing. Wei Tang, Ming Yin, Chien-Ju Ho |
| 2019 | Link Prediction in Networks with Core-Fringe Data. Austin R. Benson, Jon M. Kleinberg |
| 2019 | Link Prediction on N-ary Relational Data. Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng |
| 2019 | Listening between the Lines: Learning Personal Attributes from Conversations. Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum |
| 2019 | Local Matching Networks for Engineering Diagram Search. Zhuyun Dai, Zhen Fan, Hafeezul Rahman, Jamie Callan |
| 2019 | Longitudinal Adversarial Attack on Electronic Health Records Data. Sungtae An, Cao Xiao, Walter F. Stewart, Jimeng Sun |
| 2019 | MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin |
| 2019 | MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan |
| 2019 | MVAE: Multimodal Variational Autoencoder for Fake News Detection. Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, Vasudeva Varma |
| 2019 | Maximizing Marginal Utility per Dollar for Economic Recommendation. Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang |
| 2019 | Measurement and Early Detection of Third-Party Application Abuse on Twitter. Shehroze Farooqi, Zubair Shafiq |
| 2019 | Measuring Political Personalization of Google News Search. Huyen T. Le, Raven Maragh, Brian Ekdale, Andrew High, Timothy Havens, Zubair Shafiq |
| 2019 | Message Distortion in Information Cascades. Manoel Horta Ribeiro, Kristina Gligoric, Robert West |
| 2019 | MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin |
| 2019 | Mobile App Risk Ranking via Exclusive Sparse Coding. Deguang Kong, Lei Cen |
| 2019 | Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation. Jianmo Ni, Larry Muhlstein, Julian J. McAuley |
| 2019 | Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems. Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma |
| 2019 | Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources. Huiyuan Chen, Jing Li |
| 2019 | Modeling the Factors of User Success in Online Debate. Esin Durmus, Claire Cardie |
| 2019 | Moving Deep Learning into Web Browser: How Far Can We Go? Yun Ma, Dongwei Xiang, Shuyu Zheng, Deyu Tian, Xuanzhe Liu |
| 2019 | Multi-Domain Gated CNN for Review Helpfulness Prediction. Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao |
| 2019 | Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation. Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo |
| 2019 | Multilevel Network Alignment. Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad |
| 2019 | Multimodal Review Generation for Recommender Systems. Quoc-Tuan Truong, Hady W. Lauw |
| 2019 | Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding. Shiv Kumar Saini, Sunny Dhamnani, Aakash Srinivasan, Akil Arif Ibrahim, Prithviraj Chavan |
| 2019 | Multistream Classification for Cyber Threat Data with Heterogeneous Feature Space. Yi-Fan Li, Yang Gao, Gbadebo Ayoade, Hemeng Tao, Latifur Khan, Bhavani Thuraisingham |
| 2019 | Nameles: An intelligent system for Real-Time Filtering of Invalid Ad Traffic. Antonio Pastor, Matti Antero Parssinen, Patricia Callejo, Pelayo Vallina, Rubén Cuevas, Ángel Cuevas, Mikko Kotila, Arturo Azcorra |
| 2019 | Navigating the Maze of Wikidata Query Logs. Angela Bonifati, Wim Martens, Thomas Timm |
| 2019 | NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang |
| 2019 | Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2019 | Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2019 | Neural IR Meets Graph Embedding: A Ranking Model for Product Search. Yuan Zhang, Dong Wang, Yan Zhang |
| 2019 | Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems. Zheng Zhang, Lizi Liao, Minlie Huang, Xiaoyan Zhu, Tat-Seng Chua |
| 2019 | Neural Variational Correlated Topic Modeling. Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang, Xiaochi Wei |
| 2019 | No More than What I Post: Preventing Linkage Attacks on Check-in Services. Fengli Xu, Zhen Tu, Hongjia Huang, Shuhao Chang, Funing Sun, Diansheng Guo, Yong Li |
| 2019 | No Place to Hide: Catching Fraudulent Entities in Tensors. Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu |
| 2019 | Nonlinear Diffusion for Community Detection and Semi-Supervised Learning. Rania Ibrahim, David F. Gleich |
| 2019 | On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu |
| 2019 | On Convexity and Bounds of Fairness-aware Classification. Yongkai Wu, Lu Zhang, Xintao Wu |
| 2019 | On the Impact of Choice Architectures on Inequality in Online Donation Platforms. Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari |
| 2019 | On-Device Algorithms for Public-Private Data with Absolute Privacy. Alessandro Epasto, Hossein Esfandiari, Vahab S. Mirrokni |
| 2019 | Online Learning for Measuring Incentive Compatibility in Ad Auctions? Zhe Feng, Okke Schrijvers, Eric Sodomka |
| 2019 | Open-world Learning and Application to Product Classification. Hu Xu, Bing Liu, Lei Shu, Philip S. Yu |
| 2019 | Outage Prediction and Diagnosis for Cloud Service Systems. Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang |
| 2019 | Outguard: Detecting In-Browser Covert Cryptocurrency Mining in the Wild. Amin Kharraz, Zane Ma, Paul Murley, Charles Lever, Joshua Mason, Andrew Miller, Nikita Borisov, Manos Antonakakis, Michael D. Bailey |
| 2019 | PYTHIA: a Framework for the Automated Analysis of Web Hosting Environments. Srdjan Matic, Gareth Tyson, Gianluca Stringhini |
| 2019 | Parametric Models for Intransitivity in Pairwise Rankings. Rahul Makhijani, Johan Ugander |
| 2019 | Pcard: Personalized Restaurants Recommendation from Card Payment Transaction Records. Min Du, Robert Christensen, Wei Zhang, Feifei Li |
| 2019 | Persona-Aware Tips Generation? Piji Li, Zihao Wang, Lidong Bing, Wai Lam |
| 2019 | Personalized Bundle List Recommendation. Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao |
| 2019 | Personalized Online Spell Correction for Personal Search. Jai Prakash Gupta, Zhen Qin, Michael Bendersky, Donald Metzler |
| 2019 | Place Deduplication with Embeddings. Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han |
| 2019 | Policy Gradients for Contextual Recommendations. Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He |
| 2019 | Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. Yilun Zhou, Steven Schockaert, Julie Shah |
| 2019 | Predicting Human Mobility via Variational Attention. Qiang Gao, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang |
| 2019 | Predicting pregnancy using large-scale datafrom a women's health tracking mobile application. Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec |
| 2019 | Predictive Crawling for Commercial Web Content. Shuguang Han, Bernhard Brodowsky, Przemek Gajda, Sergey Novikov, Mike Bendersky, Marc Najork, Robin Dua, Alexandrin Popescul |
| 2019 | PrivIdEx: Privacy Preserving and Secure Exchange of Digital Identity Assets. Hasini Gunasinghe, Ashish Kundu, Elisa Bertino, Hugo Krawczyk, Suresh Chari, Kapil Singh, Dong Su |
| 2019 | Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor. Vincent Primault, Vasileios Lampos, Ingemar J. Cox, Emiliano De Cristofaro |
| 2019 | Product-Aware Helpfulness Prediction of Online Reviews. Miao Fan, Chao Feng, Lin Guo, Mingming Sun, Ping Li |
| 2019 | Pruning based Distance Sketches with Provable Guarantees on Random Graphs. Hongyang Zhang, Huacheng Yu, Ashish Goel |
| 2019 | QAnswer: A Question Answering prototype bridging the gap between a considerable part of the LOD cloud and end-users. Dennis Diefenbach, Pedro Henrique Migliatti, Omar Qawasmeh, Vincent Lully, Kamal Singh, Pierre Maret |
| 2019 | Quality Effects on User Preferences and Behaviorsin Mobile News Streaming. Hongyu Lu, Min Zhang, Weizhi Ma, Yunqiu Shao, Yiqun Liu, Shaoping Ma |
| 2019 | Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior. Yongzhen Wang, Heng Huang, Yuliang Yan, Xiaozhong Liu |
| 2019 | Querying Data Lakes using Spark and Presto. Mohamed Nadjib Mami, Damien Graux, Simon Scerri, Hajira Jabeen, Sören Auer |
| 2019 | R2SIGTP: a Novel Real-Time Recommendation System with Integration of Geography and Temporal Preference for Next Point-of-Interest. Xu Jiao, Yingyuan Xiao, Wenguang Zheng, Hongya Wang, Youzhi Jin |
| 2019 | RAQ: Relationship-Aware Graph Querying in Large Networks. Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya |
| 2019 | RED: Redundancy-Driven Data Extraction from Result Pages? Jinsong Guo, Valter Crescenzi, Tim Furche, Giovanni Grasso, Georg Gottlob |
| 2019 | Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering. Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jaeho Choi |
| 2019 | Rating Worker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective. George Trimponias, Xiaojuan Ma, Qiang Yang |
| 2019 | RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs. Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Sunju Park |
| 2019 | RecBoard: A Web-based Platform for Recommendation System Research and Development. Mohit Chawla, Kriti Singh, Longqi Yang, Deborah Estrin |
| 2019 | Recommender Systems with Heterogeneous Side Information. Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu |
| 2019 | Reconciliation k-median: Clustering with Non-polarized Representatives. Bruno Ordozgoiti, Aristides Gionis |
| 2019 | Recurrent Convolutional Neural Network for Sequential Recommendation. Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong |
| 2019 | Redesigning Bitcoin's fee market. Ron Lavi, Or Sattath, Aviv Zohar |
| 2019 | Reply-Aided Detection of Misinformation via Bayesian Deep Learning. Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz |
| 2019 | Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets. Marios Kokkodis |
| 2019 | Rethinking the Detection of Child Sexual Abuse Imagery on the Internet. Elie Bursztein, Einat Clarke, Michelle DeLaune, David M. Elifff, Nick Hsu, Lindsey Olson, John Shehan, Madhukar Thakur, Kurt Thomas, Travis Bright |
| 2019 | Review Response Generation in E-Commerce Platforms with External Product Information. Lujun Zhao, Kaisong Song, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu |
| 2019 | Revisiting Mobile Advertising Threats with MAdLife. Gong Chen, Wei Meng, John A. Copeland |
| 2019 | Revisiting Opinion Dynamics with Varying Susceptibility to Persuasion via Non-Convex Local Search. T.-H. Hubert Chan, Zhibin Liang, Mauro Sozio |
| 2019 | Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach. Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudré-Mauroux |
| 2019 | Revisiting Wedge Sampling for Triangle Counting. Ata Turk, Duru Türkoglu |
| 2019 | RiSER: Learning Better Representations for Richly Structured Emails. Furkan Kocayusufoglu, Ying Sheng, Nguyen Vo, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork |
| 2019 | Rock, Rap, or Reggaeton?: Assessing Mexican Immigrants' Cultural Assimilation Using Facebook Data, . Ian Stewart, René D. Flores, Timothy Riffe, Ingmar Weber, Emilio Zagheni |
| 2019 | SGX-PySpark: Secure Distributed Data Analytics. Do Le Quoc, Franz Gregor, Jatinder Singh, Christof Fetzer |
| 2019 | STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher |
| 2019 | SWAT: Seamless Web Authentication Technology. Florentin Rochet, Kyriakos Efthymiadis, François Koeune, Olivier Pereira |
| 2019 | SWeG: Lossless and Lossy Summarization of Web-Scale Graphs. Kijung Shin, Amol Ghoting, Myunghwan Kim, Hema Raghavan |
| 2019 | SaGe: Web Preemption for Public SPARQL Query Services. Thomas Minier, Hala Skaf-Molli, Pascal Molli |
| 2019 | SamWalker: Social Recommendation with Informative Sampling Strategy. Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen |
| 2019 | Sampled in Pairs and Driven by Text: A New Graph Embedding Framework. Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu |
| 2019 | Sarcasm Detection with Self-matching Networks and Low-rank Bilinear Pooling. Tao Xiong, Peiran Zhang, Hongbo Zhu, Yihui Yang |
| 2019 | Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data. Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, Philippe Cudré-Mauroux |
| 2019 | SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators. Panayiotis Smeros, Carlos Castillo, Karl Aberer |
| 2019 | Search Mindsets: Understanding Focused and Non-Focused Information Seeking in Music Search. Ang Li, Jennifer Thom, Praveen Chandar, Christine Hosey, Brian St. Thomas, Jean Garcia-Gathright |
| 2019 | Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. Qingyu Guo, Zhao Li, Bo An, Pengrui Hui, Jiaming Huang, Long Zhang, Mengchen Zhao |
| 2019 | Self- and Cross-Excitation in Stack Exchange Question & Answer Communities. Tiago Santos, Simon Walk, Roman Kern, Markus Strohmaier, Denis Helic |
| 2019 | Selling a Single Item with Negative Externalities. Matheus Xavier Ferreira, S. Matthew Weinberg, Danny Yuxing Huang, Nick Feamster, Tithi Chattopadhyay |
| 2019 | Semantic Hilbert Space for Text Representation Learning. Benyou Wang, Qiuchi Li, Massimo Melucci, Dawei Song |
| 2019 | Semantic Text Matching for Long-Form Documents. Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork |
| 2019 | Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference. Shichao Pei, Lu Yu, Robert Hoehndorf, Xiangliang Zhang |
| 2019 | Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang |
| 2019 | Semi-supervised Multi-view Individual and Sharable Feature Learning for Webpage Classification. Fei Wu, Xiao-Yuan Jing, Jun Zhou, Yi-Mu Ji, Chao Lan, Qinghua Huang, Ruchuan Wang |
| 2019 | Sensitivity Analysis of Centralities on Unweighted Networks. Shogo Murai, Yuichi Yoshida |
| 2019 | ShadowBlock: A Lightweight and Stealthy Adblocking Browser. Shitong Zhu, Umar Iqbal, Zhongjie Wang, Zhiyun Qian, Zubair Shafiq, Weiteng Chen |
| 2019 | Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. Omar Besbes, Antoine Désir, Vineet Goyal, Garud Iyengar, Raghav Singal |
| 2019 | Signals Matter: Understanding Popularity and Impact of Users on Stack Overflow. Arpit Merchant, Daksh Shah, Gurpreet Singh Bhatia, Anurag Ghosh, Ponnurangam Kumaraguru |
| 2019 | Signed Distance-based Deep Memory Recommender. Thanh Tran, Xinyue Liu, Kyumin Lee, Xiangnan Kong |
| 2019 | SmartDBO: Smart Docker Benchmarking Orchestrator for Web-application. Devki Nandan Jha, Michael Nee, Zhenyu Wen, Albert Y. Zomaya, Rajiv Ranjan |
| 2019 | Snapshot-based Loading Acceleration of Web Apps with Nondeterministic JavaScript Execution. Ji Hwan Yeo, Chang Hyun Shin, Soo-Mook Moon |
| 2019 | Spatio-Temporal Capsule-based Reinforcement Learning for Mobility-on-Demand Network Coordination. Suining He, Kang G. Shin |
| 2019 | Spectrum-enhanced Pairwise Learning to Rank. Wenhui Yu, Zheng Qin |
| 2019 | SpeedReader: Reader Mode Made Fast and Private. Mohammad Ghasemisharif, Peter Snyder, Andrius Aucinas, Benjamin Livshits |
| 2019 | Spiders like Onions: on the Network of Tor Hidden Services. Massimo Bernaschi, Alessandro Celestini, Stefano Guarino, Flavio Lombardi, Enrico Mastrostefano |
| 2019 | Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma |
| 2019 | Studying Preferences and Concerns about Information Disclosure in Email Notifications. Yongsung Kim, Adam Fourney, Ece Kamar |
| 2019 | TIM: A Tool for Gaining Insights into Psychotherapy. Ronan Cummins, Michael P. Ewbank, Alan Martin, Valentin Tablan, Ana Catarino, Andrew D. Blackwell |
| 2019 | TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables. Besnik Fetahu, Avishek Anand, Maria Koutraki |
| 2019 | Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System. Wenhao Yu, Zongze Li, Qingkai Zeng, Meng Jiang |
| 2019 | Tag2Vec: Learning Tag Representations in Tag Networks. Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin |
| 2019 | TaxVis: a Visual System for Detecting Tax Evasion Group. Hongchao Yu, Huan He, Qinghua Zheng, Bo Dong |
| 2019 | The Block Point Process Model for Continuous-time Event-based Dynamic Networks. Ruthwik R. Junuthula, Maysam Haghdan, Kevin S. Xu, Vijay K. Devabhaktuni |
| 2019 | The Chain of Implicit Trust: An Analysis of the Web Third-party Resources Loading. Muhammad Ikram, Rahat Masood, Gareth Tyson, Mohamed Ali Kâafar, Noha Loizon, Roya Ensafi |
| 2019 | The Illusion of Change: Correcting for Biases in Change Inference for Sparse, Societal-Scale Data. Gabriel Cadamuro, Ramya Korlakai Vinayak, Joshua Blumenstock, Sham M. Kakade, Jacob N. Shapiro |
| 2019 | The Law of the Horse at 20: Phases of the Net. Lawrence Lessig |
| 2019 | The Matthew Effect in Computation Contests: High Difficulty May Lead to 51% Dominance? Yulong Zeng, Song Zuo |
| 2019 | The Music Streaming Sessions Dataset. Brian Brost, Rishabh Mehrotra, Tristan Jehan |
| 2019 | The Silent Majority Speaks: Inferring Silent Users' Opinions in Online Social Networks. Lei Wang, Jianwei Niu, Xuefeng Liu, Kaili Mao |
| 2019 | The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets. Yunhe Feng, Wenjun Zhou, Zheng Lu, Zhibo Wang, Qing Cao |
| 2019 | The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019 Ling Liu, Ryen W. White, Amin Mantrach, Fabrizio Silvestri, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia |
| 2019 | The few-get-richer: a surprising consequence of popularity-based rankings? Fabrizio Germano, Vicenç Gómez, Gaël Le Mens |
| 2019 | Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis. Shirin Nilizadeh, Hojjat Aghakhani, Eric Gustafson, Christopher Kruegel, Giovanni Vigna |
| 2019 | TiFi: Taxonomy Induction for Fictional Domains Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum |
| 2019 | TiSSA: A Time Slice Self-Attention Approach for Modeling Sequential User Behaviors. Chenyi Lei, Shouling Ji, Zhao Li |
| 2019 | To Return or to Explore: Modelling Human Mobility and Dynamics in Cyberspace. Tianran Hu, Yinglong Xia, Jiebo Luo |
| 2019 | Topic Structure-Aware Neural Language Model: Unified language model that maintains word and topic ordering by their embedded representations. Noriaki Kawamae |
| 2019 | Tortoise or Hare? Quantifying the Effects of Performance on Mobile App Retention. Agustin Zuniga, Huber Flores, Eemil Lagerspetz, Petteri Nurmi, Sasu Tarkoma, Pan Hui, Jukka Manner |
| 2019 | Towards Efficient Sharing: A Usage Balancing Mechanism for Bike Sharing Systems. Shuai Wang, Tian He, Desheng Zhang, Yunhuai Liu, Sang Hyuk Son |
| 2019 | Towards Neural Mixture Recommender for Long Range Dependent User Sequences. Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi |
| 2019 | Towards Predicting a Realisation of an Information Need based on Brain Signals. Yashar Moshfeghi, Peter Triantafillou, Frank E. Pollick |
| 2019 | Towards Self-Adaptive Metric Learning On the Fly. Yang Gao, Yifan Li, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham |
| 2019 | Tracy: Tracing Facts over Knowledge Graphs and Text. Mohamed H. Gad-Elrab, Daria Stepanova, Jacopo Urbani, Gerhard Weikum |
| 2019 | Trajectories of Blocked Community Members: Redemption, Recidivism and Departure. Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil |
| 2019 | Transfer Learning for Unsupervised Influenza-like Illness Models from Online Search Data. Bin Zou, Vasileios Lampos, Ingemar J. Cox |
| 2019 | Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. Guangneng Hu, Yu Zhang, Qiang Yang |
| 2019 | Triple Trustworthiness Measurement for Knowledge Graph. Shengbin Jia, Yang Xiang, Xiaojun Chen, Kun Wang, Shijia E |
| 2019 | Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2019 | TurkScanner: Predicting the Hourly Wage of Microtasks. Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham |
| 2019 | TweetSenti: Target-dependent Tweet Sentiment Analysis. Quanzhi Li, Qiong Zhang, Luo Si |
| 2019 | UNVEIL: Capture and Visualise WiFi Data Leakages. Shubham Jain, Eden Bensaid, Yves-Alexandre de Montjoye |
| 2019 | Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm. Ziniu Hu, Yang Wang, Qu Peng, Hang Li |
| 2019 | Understanding Reader Backtracking Behavior in Online News Articles. Uzi Smadja, Max Grusky, Yoav Artzi, Mor Naaman |
| 2019 | Understanding Urban Dynamics via State-sharing Hidden Markov Model. Tong Xia, Yue Yu, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li |
| 2019 | Understanding the Effects of the Neighbourhood Built Environment on Public Health with Open Data. Apinan Hasthanasombat, Cecilia Mascolo |
| 2019 | Understanding the Evolution of Mobile App Ecosystems: A Longitudinal Measurement Study of Google Play. Haoyu Wang, Hao Li, Yao Guo |
| 2019 | Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua |
| 2019 | Unnecessarily Identifiable: Quantifying the fingerprintability of browser extensions due to bloat. Oleksii Starov, Pierre Laperdrix, Alexandros Kapravelos, Nick Nikiforakis |
| 2019 | Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval. Shangsong Liang |
| 2019 | Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale. Rajkarn Singh, Marco Fiore, Mahesh K. Marina, Alberto Tarable, Alessandro Nordio |
| 2019 | User-Video Co-Attention Network for Personalized Micro-video Recommendation. Shang Liu, Zhenzhong Chen, Hongyi Liu, Xinghai Hu |
| 2019 | Using Variability as a Guiding Principle to Reduce Latency in Web Applications via OS Profiling. Amoghavarsha Suresh, Anshul Gandhi |
| 2019 | VACCINE: Using Contextual Integrity For Data Leakage Detection. Yan Shvartzshnaider, Zvonimir Pavlinovic, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian, Helen Nissenbaum, Prateek Mittal |
| 2019 | Value-aware Recommendation based on Reinforcement Profit Maximization. Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang |
| 2019 | Variational Session-based Recommendation Using Normalizing Flows. Fan Zhou, Zijing Wen, Kunpeng Zhang, Goce Trajcevski, Ting Zhong |
| 2019 | ViTOR: Learning to Rank Webpages Based on Visual Features. Bram van den Akker, Ilya Markov, Maarten de Rijke |
| 2019 | Voyageur: An Experiential Travel Search Engine. Sara Evensen, Aaron Feng, Alon Y. Halevy, Jinfeng Li, Vivian Li, Yuliang Li, Huining Liu, George A. Mihaila, John Morales, Natalie Nuno, Ekaterina Pavlovic, Wang-Chiew Tan, Xiaolan Wang |
| 2019 | Web Experience in Mobile Networks: Lessons from Two Million Page Visits. Mohammad Rajiullah, Andra Lutu, Ali Safari Khatouni, Mah-Rukh Fida, Marco Mellia, Anna Brunström, Özgü Alay, Stefan Alfredsson, Vincenzo Mancuso |
| 2019 | What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings. Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Alex Cheng, Yueting Zhuang |
| 2019 | What We Vote for? Answer Selection from User Expertise View in Community Question Answering. Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng |
| 2019 | What happened? The Spread of Fake News Publisher Content During the 2016 U.S. Presidential Election. Ceren Budak |
| 2019 | What is in Your Password? Analyzing Memorable and Secure Passwords using a Tensor Decomposition. Youjin Shin, Simon S. Woo |
| 2019 | Who Watches the Watchmen: Exploring Complaints on the Web. Damilola Ibosiola, Ignacio Castro, Gianluca Stringhini, Steve Uhlig, Gareth Tyson |
| 2019 | With a Little Help from My Friends (and Their Friends): Influence Neighborhoods for Social Recommendations. Avni Gulati, Magdalini Eirinaki |
| 2019 | XFake: Explainable Fake News Detector with Visualizations. Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu |
| 2019 | Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network. Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong |