Title/Authors | Title | Research Artifacts
[?] A research
artifact is any by-product of a research project that is not
directly included in the published research paper. In Computer
Science research this is often source code and data sets, but
it could also be media, documentation, inputs to proof
assistants, shell-scripts to run experiments, etc.
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How Public Is My Private Life?: Privacy in Online Dating Camille Cobb, Tadayoshi Kohno |
How Public Is My Private Life?: Privacy in Online Dating Details |
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An Army of Me: Sockpuppets in Online Discussion Communities Srijan Kumar, Justin Cheng, Jure Leskovec, V. S. Subrahmanian |
An Army of Me: Sockpuppets in Online Discussion Communities Details |
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Transparent Web Service Auditing via Network Provenance Functions Adam Bates, Wajih Ul Hassan, Kevin R. B. Butler, Alin Dobra, Bradley Reaves, Patrick T. Cable II, Thomas Moyer, Nabil Schear |
Transparent Web Service Auditing via Network Provenance Functions Details |
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What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu |
What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation Details |
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Collaborative Optimization for Collective Decision-making in Continuous Spaces Nikhil Garg, Vijay Kamble, Ashish Goel, David Marn, Kamesh Munagala |
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Distilling Task Knowledge from How-To Communities Cuong Xuan Chu, Niket Tandon, Gerhard Weikum |
Distilling Task Knowledge from How-To Communities Details |
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Back To The Source: An Online Approach for Sensor Placement and Source Localization Brunella Spinelli, L. Elisa Celis, Patrick Thiran |
Back To The Source: An Online Approach for Sensor Placement and Source Localization Details |
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AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization Tsubasa Takahashi, Bryan Hooi, Christos Faloutsos |
AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization Details |
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Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series Julia Proskurnia, Przemyslaw A. Grabowicz, Ryota Kobayashi, Carlos Castillo, Philippe Cudré-Mauroux, Karl Aberer |
Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series Details |
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Trajectory Recovery From Ash: User Privacy Is NOT Preserved in Aggregated Mobility Data Fengli Xu, Zhen Tu, Yong Li, Pengyu Zhang, Xiaoming Fu, Depeng Jin |
Trajectory Recovery From Ash: User Privacy Is NOT Preserved in Aggregated Mobility Data Details |
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Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley |
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Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding Chenyan Xiong, Russell Power, Jamie Callan |
Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding Details |
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Bimodal Distribution and Co-Bursting in Review Spam Detection Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao |
Bimodal Distribution and Co-Bursting in Review Spam Detection Details |
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Secure Centrality Computation Over Multiple Networks Gilad Asharov, Francesco Bonchi, David García-Soriano, Tamir Tassa |
Secure Centrality Computation Over Multiple Networks Details |
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Jack Hessel, Lillian Lee, David M. Mimno |
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Why Do Cascade Sizes Follow a Power-Law? Karol Wegrzycki, Piotr Sankowski, Andrzej Pacuk, Piotr Wygocki |
Why Do Cascade Sizes Follow a Power-Law? Details |
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GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees Qian Zhao, Yue Shi, Liangjie Hong |
GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees Details |
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Tracking Phishing Attacks Over Time Qian Cui, Guy-Vincent Jourdan, Gregor von Bochmann, Russell Couturier, Iosif-Viorel Onut |
Tracking Phishing Attacks Over Time Details |
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Learning to Extract Events from Knowledge Base Revisions Alexander Konovalov, Benjamin Strauss, Alan Ritter, Brendan O'Connor |
Learning to Extract Events from Knowledge Base Revisions Details |
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Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex |
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach Details |
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Sampling from Social Networks with Attributes Claudia Wagner, Philipp Singer, Fariba Karimi, Jürgen Pfeffer, Markus Strohmaier |
Sampling from Social Networks with Attributes Details |
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Who Controls the Internet?: Analyzing Global Threats using Property Graph Traversals Milivoj Simeonovski, Giancarlo Pellegrino, Christian Rossow, Michael Backes |
Who Controls the Internet?: Analyzing Global Threats using Property Graph Traversals Details |
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Learning to Recommend Accurate and Diverse Items Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, Hui Xiong |
Learning to Recommend Accurate and Diverse Items Details |
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PhLeGrA: Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data Maulik R. Kamdar, Mark A. Musen |
PhLeGrA: Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data Details |
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We are in the process of releasing a new version of the pattern-based query federation engine, and a much refined codebase, so please contact me for more details.
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Charles L. A. Clarke, Gordon V. Cormack, Jimmy J. Lin, Adam Roegiest |
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Web Application Migration with Closure Reconstruction Jin-woo Kwon, Soo-Mook Moon |
Web Application Migration with Closure Reconstruction Details |
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Assessing Percolation Threshold Based on High-Order Non-Backtracking Matrices Yuan Lin, Wei Chen, Zhongzhi Zhang |
Assessing Percolation Threshold Based on High-Order Non-Backtracking Matrices Details |
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Horizon-Independent Optimal Pricing in Repeated Auctions with Truthful and Strategic Buyers Alexey Drutsa |
Horizon-Independent Optimal Pricing in Repeated Auctions with Truthful and Strategic Buyers Details |
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CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han |
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases Details |
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Security Implications of Redirection Trail in Popular Websites Worldwide Li Chang, Hsu-Chun Hsiao, Wei Jeng, Tiffany Hyun-Jin Kim, Wei-Hsi Lin |
Security Implications of Redirection Trail in Popular Websites Worldwide Details |
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Inferring Individual Attributes from Search Engine Queries and Auxiliary Information Luca Soldaini, Elad Yom-Tov |
Inferring Individual Attributes from Search Engine Queries and Auxiliary Information Details |
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Wei Chen, Shang-Hua Teng |
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Constructing and Evaluating a Novel Crowdsourcing-based Paraphrased Opinion Spam Dataset Seongsoon Kim, Seongwoon Lee, Donghyeon Park, Jaewoo Kang |
Constructing and Evaluating a Novel Crowdsourcing-based Paraphrased Opinion Spam Dataset Details |
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Web Mail is not Dead!: It's Just Not Human Anymore Yoelle Maarek |
Web Mail is not Dead!: It's Just Not Human Anymore Details |
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Scalable Motif-aware Graph Clustering Charalampos E. Tsourakakis, Jakub Pachocki, Michael Mitzenmacher |
Scalable Motif-aware Graph Clustering Details |
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Situational Context for Ranking in Personal Search Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang |
Situational Context for Ranking in Personal Search Details |
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EOMM: An Engagement Optimized Matchmaking Framework Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A. Zaman, Yizhou Sun, Magy Seif El-Nasr |
EOMM: An Engagement Optimized Matchmaking Framework Details |
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Exact Computation of Influence Spread by Binary Decision Diagrams Takanori Maehara, Hirofumi Suzuki, Masakazu Ishihata |
Exact Computation of Influence Spread by Binary Decision Diagrams Details |
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PaRE: A System for Personalized Route Guidance Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi |
PaRE: A System for Personalized Route Guidance Details |
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Extended Tracking Powers: Measuring the Privacy Diffusion Enabled by Browser Extensions Oleksii Starov, Nick Nikiforakis |
Extended Tracking Powers: Measuring the Privacy Diffusion Enabled by Browser Extensions Details |
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User Personalized Satisfaction Prediction via Multiple Instance Deep Learning Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Haifeng Liu, Deng Cai |
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning Details |
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Cross View Link Prediction by Learning Noise-resilient Representation Consensus Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu |
Cross View Link Prediction by Learning Noise-resilient Representation Consensus Details |
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Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang |
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Security Challenges in an Increasingly Tangled Web Deepak Kumar, Zane Ma, Zakir Durumeric, Ariana Mirian, Joshua Mason, J. Alex Halderman, Michael Bailey |
Security Challenges in an Increasingly Tangled Web Details |
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Extracting and Ranking Travel Tips from User-Generated Reviews Ido Guy, Avihai Mejer, Alexander Nus, Fiana Raiber |
Extracting and Ranking Travel Tips from User-Generated Reviews Details |
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Dynamic Key-Value Memory Networks for Knowledge Tracing Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung |
Dynamic Key-Value Memory Networks for Knowledge Tracing Details |
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Do "Also-Viewed" Products Help User Rating Prediction? Chanyoung Park, Dong Hyun Kim, Jinoh Oh, Hwanjo Yu |
Do "Also-Viewed" Products Help User Rating Prediction? Details |
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Mark Pesce |
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GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks Minh X. Hoang, Xuan-Hong Dang, Xiang Wu, Zhenyu Yan, Ambuj K. Singh |
GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks Details |
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Detecting Large Reshare Cascades in Social Networks Karthik Subbian, B. Aditya Prakash, Lada A. Adamic |
Detecting Large Reshare Cascades in Social Networks Details |
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Competition and Selection Among Conventions Rahmtin Rotabi, Cristian Danescu-Niculescu-Mizil, Jon M. Kleinberg |
Competition and Selection Among Conventions Details |
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AppHolmes: Detecting and Characterizing App Collusion among Third-Party Android Markets Mengwei Xu, Yun Ma, Xuanzhe Liu, Felix Xiaozhu Lin, Yunxin Liu |
AppHolmes: Detecting and Characterizing App Collusion among Third-Party Android Markets Details |
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Alexey Drutsa, Gleb Gusev, Pavel Serdyukov |
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Clustered Model Adaption for Personalized Sentiment Analysis Lin Gong, Benjamin Haines, Hongning Wang |
Clustered Model Adaption for Personalized Sentiment Analysis Details |
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An Experimental Evaluation of Regret-Based Econometrics Noam Nisan, Gali Noti |
An Experimental Evaluation of Regret-Based Econometrics Details |
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Predicting Latent Structured Intents from Shopping Queries Chao-Yuan Wu, Amr Ahmed, Gowtham Ramani Kumar, Ritendra Datta |
Predicting Latent Structured Intents from Shopping Queries Details |
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Prices and Subsidies in the Sharing Economy Zhixuan Fang, Longbo Huang, Adam Wierman |
Prices and Subsidies in the Sharing Economy Details |
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Philipp Singer, Florian Lemmerich, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, Jure Leskovec |
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FLOCK: Combating Astroturfing on Livestreaming Platforms Neil Shah |
FLOCK: Combating Astroturfing on Livestreaming Platforms Details |
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Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi |
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification Details |
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Query Expansion Based on a Feedback Concept Model for Microblog Retrieval Yashen Wang, Heyan Huang, Chong Feng |
Query Expansion Based on a Feedback Concept Model for Microblog Retrieval Details |
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BOAT: Building Auto-Tuners with Structured Bayesian Optimization Valentin Dalibard, Michael Schaarschmidt, Eiko Yoneki |
BOAT: Building Auto-Tuners with Structured Bayesian Optimization Details |
Artifacts for some papers are reviewed by an artifact evaluation, reproducibility,
or similarly named committee. This is one such paper that passed review.
Artifact evaluation badge awarded
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GSP: The Cinderella of Mechanism Design Christopher A. Wilkens, Ruggiero Cavallo, Rad Niazadeh |
GSP: The Cinderella of Mechanism Design Details |
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When Confidence and Competence Collide: Effects on Online Decision-Making Discussions Liye Fu, Lillian Lee, Cristian Danescu-Niculescu-Mizil |
When Confidence and Competence Collide: Effects on Online Decision-Making Discussions Details |
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Can You Spot the Fakes?: On the Limitations of User Feedback in Online Social Networks David Mandell Freeman |
Can You Spot the Fakes?: On the Limitations of User Feedback in Online Social Networks Details |
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Cataloguing Treatments Discussed and Used in Online Autism Communities Shaodian Zhang, Tian Kang, Lin Qiu, Weinan Zhang, Yong Yu, Noémie Elhadad |
Cataloguing Treatments Discussed and Used in Online Autism Communities Details |
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Automated Template Generation for Question Answering over Knowledge Graphs Abdalghani Abujabal, Mohamed Yahya, Mirek Riedewald, Gerhard Weikum |
Automated Template Generation for Question Answering over Knowledge Graphs Details |
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Learning to Match using Local and Distributed Representations of Text for Web Search Bhaskar Mitra, Fernando Diaz, Nick Craswell |
Learning to Match using Local and Distributed Representations of Text for Web Search Details |
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The Long-Standing Privacy Debate: Mobile Websites vs Mobile Apps Elias P. Papadopoulos, Michalis Diamantaris, Panagiotis Papadopoulos, Thanasis Petsas, Sotiris Ioannidis, Evangelos P. Markatos |
The Long-Standing Privacy Debate: Mobile Websites vs Mobile Apps Details |
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Exploring Rated Datasets with Rating Maps Sihem Amer-Yahia, Sofia Kleisarchaki, Naresh Kumar Kolloju, Laks V. S. Lakshmanan, Ruben H. Zamar |
Exploring Rated Datasets with Rating Maps Details |
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Discussion Quality Diffuses in the Digital Public Square George Berry, Sean J. Taylor |
Discussion Quality Diffuses in the Digital Public Square Details |
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Learning Personalized Preference of Strong and Weak Ties for Social Recommendation Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen |
Learning Personalized Preference of Strong and Weak Ties for Social Recommendation Details |
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What Makes a Link Successful on Wikipedia? Dimitar Dimitrov, Philipp Singer, Florian Lemmerich, Markus Strohmaier |
What Makes a Link Successful on Wikipedia? Details |
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nTD: Noise-Profile Adaptive Tensor Decomposition Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino |
nTD: Noise-Profile Adaptive Tensor Decomposition Details |
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The Demographics of Mail Search and their Application to Query Suggestion David Carmel, Liane Lewin-Eytan, Alex Libov, Yoelle Maarek, Ariel Raviv |
The Demographics of Mail Search and their Application to Query Suggestion Details |
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Beyond Globally Optimal: Focused Learning for Improved Recommendations Alex Beutel, Ed Huai-hsin Chi, Zhiyuan Cheng, Hubert Pham, John R. Anderson |
Beyond Globally Optimal: Focused Learning for Improved Recommendations Details |
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A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan |
A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams Details |
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A General Model for Out-of-town Region Recommendation Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong |
A General Model for Out-of-town Region Recommendation Details |
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Correlation Clustering with Low-Rank Matrices Nate Veldt, Anthony Ian Wirth, David F. Gleich |
Correlation Clustering with Low-Rank Matrices Details |
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Ping Li, Cun-Hui Zhang |
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LETOR Methods for Unsupervised Rank Aggregation Avradeep Bhowmik, Joydeep Ghosh |
LETOR Methods for Unsupervised Rank Aggregation Details |
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Leye Wang, Dingqi Yang, Xiao Han, Tianben Wang, Daqing Zhang, Xiaojuan Ma |
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Identifying Value in Crowdsourced Wireless Signal Measurements Zhijing Li, Ana Nika, Xinyi Zhang, Yanzi Zhu, Yuanshun Yao, Ben Y. Zhao, Haitao Zheng |
Identifying Value in Crowdsourced Wireless Signal Measurements Details |
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Cascades: A View from Audience Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma |
Cascades: A View from Audience Details |
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Submodular Optimization Over Sliding Windows Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam |
Submodular Optimization Over Sliding Windows Details |
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Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner, Manuel Cebrián, Honglin Yu, Pascal Van Hentenryck |
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity Details |
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An Explorative Study of the Mobile App Ecosystem from App Developers' Perspective Haoyu Wang, Zhe Liu, Yao Guo, Xiangqun Chen, Miao Zhang, Guoai Xu, Jason I. Hong |
An Explorative Study of the Mobile App Ecosystem from App Developers' Perspective Details |
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Fairness in Package-to-Group Recommendations Dimitris Serbos, Shuyao Qi, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas |
Fairness in Package-to-Group Recommendations Details |
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J-Force: Forced Execution on JavaScript Kyungtae Kim, I Luk Kim, Chung Hwan Kim, Yonghwi Kwon, Yunhui Zheng, Xiangyu Zhang, Dongyan Xu |
J-Force: Forced Execution on JavaScript Details |
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Consistent Weighted Sampling Made More Practical Wei Wu, Bin Li, Ling Chen, Chengqi Zhang |
Consistent Weighted Sampling Made More Practical Details |
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Taming the Unpredictability of Cultural Markets with Social Influence Andrés Abeliuk, Gerardo Berbeglia, Pascal Van Hentenryck, Tad Hogg, Kristina Lerman |
Taming the Unpredictability of Cultural Markets with Social Influence Details |
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Legion: Enriching Internet Services with Peer-to-Peer Interactions Albert van der Linde, Pedro Fouto, João Leitão, Nuno M. Preguiça, Santiago J. Castiñeira, Annette Bieniusa |
Legion: Enriching Internet Services with Peer-to-Peer Interactions Details |
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Measuring and Improving the Reliability of Wide-Area Cloud Paths Osama Haq, Mamoon Raja, Fahad R. Dogar |
Measuring and Improving the Reliability of Wide-Area Cloud Paths Details |
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Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance Tim Althoff, Eric Horvitz, Ryen W. White, Jamie Zeitzer |
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Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, Deborah Estrin |
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Milijana Surbatovich, Jassim Aljuraidan, Lujo Bauer, Anupam Das, Limin Jia |
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Minglai Shao, Jianxin Li, Feng Chen, Hongyi Huang, Shuai Zhang, Xunxun Chen |
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Information Extraction in Illicit Web Domains Mayank Kejriwal, Pedro A. Szekely |
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Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model Qian Zhang, Nicola Perra, Daniela Perrotta, Michele Tizzoni, Daniela Paolotti, Alessandro Vespignani |
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Is Saki #delicious?: The Food Perception Gap on Instagram and Its Relation to Health Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba |
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Tools for Automated Analysis of Cybercriminal Markets Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson |
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Distilling Information Reliability and Source Trustworthiness from Digital Traces Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez |
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DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing Shuochao Yao, Shaohan Hu, Yiran Zhao, Aston Zhang, Tarek F. Abdelzaher |
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Deals or No Deals: Contract Design for Online Advertising Vahab S. Mirrokni, Hamid Nazerzadeh |
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Pinning Down Abuse on Google Maps Danny Yuxing Huang, Doug Grundman, Kurt Thomas, Abhishek Kumar, Elie Bursztein, Kirill Levchenko, Alex C. Snoeren |
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Portfolio Optimization for Influence Spread Naoto Ohsaka, Yuichi Yoshida |
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Taming the Data Deluge to Unravel the Mysteries of the Universe Melanie Johnston-Hollitt |
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Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi |
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Neural Collaborative Filtering Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua |
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On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim |
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Budget Management Strategies in Repeated Auctions Santiago R. Balseiro, Anthony Kim, Mohammad Mahdian, Vahab S. Mirrokni |
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Detecting Collusive Spamming Activities in Community Question Answering Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma |
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Reducing Latency by Eliminating Synchrony Min Hong Yun, Songtao He, Lin Zhong |
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Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks Kathy Lee, Ashequl Qadir, Sadid A. Hasan, Vivek V. Datla, Aaditya Prakash, Joey Liu, Oladimeji Farri |
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Drawing Sound Conclusions from Noisy Judgments David Goldberg, Andrew Trotman, Xiao Wang, Wei Min, Zongru Wan |
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Characterizing Email Search using Large-scale Behavioral Logs and Surveys Qingyao Ai, Susan T. Dumais, Nick Craswell, Daniel J. Liebling |
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Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level Denis Lukovnikov, Asja Fischer, Jens Lehmann, Sören Auer |
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Probabilistic Visitor Stitching on Cross-Device Web Logs Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor |
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Extracting Emerging Knowledge from Social Media Marco Brambilla, Stefano Ceri, Emanuele Della Valle, Riccardo Volonterio, Felix Xavier Acero Salazar |
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Promoting Relevant Results in Time-Ranked Mail Search David Carmel, Liane Lewin-Eytan, Alex Libov, Yoelle Maarek, Ariel Raviv |
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On the Content Security Policy Violations due to the Same-Origin Policy Dolière Francis Somé, Nataliia Bielova, Tamara Rezk |
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Web Search as a Linguistic Tool Adam Fourney, Meredith Ringel Morris, Ryen W. White |
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Performance Monitoring and Root Cause Analysis for Cloud-hosted Web Applications Hiranya Jayathilaka, Chandra Krintz, Rich Wolski |
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Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics Sourav Dutta, Pratik Nayek, Arnab Bhattacharya |
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Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha |
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De-anonymizing Web Browsing Data with Social Networks Jessica Su, Ansh Shukla, Sharad Goel, Arvind Narayanan |
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Usage Patterns and the Economics of the Public Cloud Cinar Kilcioglu, Justin M. Rao, Aadharsh Kannan, R. Preston McAfee |
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When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors Aneesh Sharma, C. Seshadhri, Ashish Goel |
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Monetary Discount Strategies for Real-Time Promotion Campaign Ying-Chun Lin, Chi-Hsuan Huang, Chu-Cheng Hsieh, Yu-Chen Shu, Kun-Ta Chuang |
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Semi-supervised Clustering in Attributed Heterogeneous Information Networks Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng |
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DeepMood: Forecasting Depressed Mood Based on Self-Reported Histories via Recurrent Neural Networks Yoshihiko Suhara, Yinzhan Xu, Alex 'Sandy' Pentland |
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Siddhartha Banerjee, Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala |
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Linear Additive Markov Processes Ravi Kumar, Maithra Raghu, Tamás Sarlós, Andrew Tomkins |
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ESCAPE: Efficiently Counting All 5-Vertex Subgraphs Ali Pinar, C. Seshadhri, Vaidyanathan Vishal |
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Giovanni Campagna, Rakesh Ramesh, Silei Xu, Michael Fischer, Monica S. Lam |
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A Fast and Provable Method for Estimating Clique Counts Using Turán's Theorem Shweta Jain, C. Seshadhri |
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How Users Explore Ontologies on the Web: A Study of NCBO's BioPortal Usage Logs Simon Walk, Lisette Espin Noboa, Denis Helic, Markus Strohmaier, Mark A. Musen |
How Users Explore Ontologies on the Web: A Study of NCBO's BioPortal Usage Logs Details |
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The data used in this paper is available at http://onto-apps.stanford.edu/bionic, which is described in more detail in: Kamdar, M. R., Walk, S., Tudorache, T., & Musen, M. A. (2017, October). BiOnIC: A Catalog of User Interactions with Biomedical Ontologies. In International Semantic Web Conference (pp. 130-138). Springer, Cham.
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Indexing Public-Private Graphs Aaron Archer, Silvio Lattanzi, Peter Likarish, Sergei Vassilvitskii |
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The k-peak Decomposition: Mapping the Global Structure of Graphs Priya Govindan, Chenghong Wang, Chumeng Xu, Hongyu Duan, Sucheta Soundarajan |
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A Generic Coordinate Descent Framework for Learning from Implicit Feedback Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle |
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Push or Request: An Investigation of HTTP/2 Server Push for Improving Mobile Performance Sanae Rosen, Bo Han, Shuai Hao, Zhuoqing Morley Mao, Feng Qian |
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Using Participatory Web-based Surveillance Data to Improve Seasonal Influenza Forecasting in Italy Daniela Perrotta, Michele Tizzoni, Daniela Paolotti |
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DeepCas: An End-to-end Predictor of Information Cascades Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei |
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Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules Wei Emma Zhang, Quan Z. Sheng, Jey Han Lau, Ermyas Abebe |
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Optimizing the Recency-Relevancy Trade-off in Online News Recommendations Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi |
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Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning Chao Zhang, Keyang Zhang, Quan Yuan, Haoruo Peng, Yu Zheng, Tim Hanratty, Shaowen Wang, Jiawei Han |
Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning Details |
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Mobile Sensing at the Service of Mental Well-being: a Large-scale Longitudinal Study Sandra Servia Rodríguez, Kiran K. Rachuri, Cecilia Mascolo, Peter J. Rentfrow, Neal Lathia, Gillian M. Sandstrom |
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Understanding and Discovering Deliberate Self-harm Content in Social Media Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang |
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The Onions Have Eyes: A Comprehensive Structure and Privacy Analysis of Tor Hidden Services Iskander Sánchez-Rola, Davide Balzarotti, Igor Santos |
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The Spread of Physical Activity Through Social Networks David Stück, Haraldur Tómas Hallgrímsson, Greg Ver Steeg, Alessandro Epasto, Luca Foschini |
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What's in a Name?: Understanding Profile Name Reuse on Twitter Enrico Mariconti, Jeremiah Onaolapo, Syed Sharique Ahmad, Nicolas Nikiforou, Manuel Egele, Nick Nikiforakis, Gianluca Stringhini |
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Modeling the Dynamics of Learning Activity on the Web Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez |
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Sangoshthi: Empowering Community Health Workers through Peer Learning in Rural India Deepika Yadav, Pushpendra Singh, Kyle Montague, Vijay Kumar, Deepak Sood, Madeline Balaam, Drishti Sharma, Mona Duggal, Tom Bartindale, Delvin Varghese, Patrick Olivier |
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Decoupled Collaborative Ranking Jun Hu, Ping Li |
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Christoph Trattner, David Elsweiler |
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Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu |
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Neural Underpinnings of Website Legitimacy and Familiarity Detection: An fNIRS Study Ajaya Neupane, Nitesh Saxena, Leanne M. Hirshfield |
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Ex Machina: Personal Attacks Seen at Scale Ellery Wulczyn, Nithum Thain, Lucas Dixon |
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AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields Jinyuan Jia, Binghui Wang, Le Zhang, Neil Zhenqiang Gong |
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SMARTGEN: Exposing Server URLs of Mobile Apps With Selective Symbolic Execution Chaoshun Zuo, Zhiqiang Lin |
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Template Induction over Unstructured Email Corpora Julia Proskurnia, Marc-Allen Cartright, Lluis Garcia Pueyo, Ivo Krka, James B. Wendt, Tobias Kaufmann, Balint Miklos |
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Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance Vasileios Lampos, Bin Zou, Ingemar Johansson Cox |
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Large Scale Density-friendly Graph Decomposition via Convex Programming Maximilien Danisch, T.-H. Hubert Chan, Mauro Sozio |
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Blotter: Low Latency Transactions for Geo-Replicated Storage Henrique Moniz, João Leitão, Ricardo J. Dias, Johannes Gehrke, Nuno M. Preguiça, Rodrigo Rodrigues |
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Blood Pressure Prediction via Recurrent Models with Contextual Layer Xiaohan Li, Shu Wu, Liang Wang |
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Sponsored Search Auctions with Rich Ads Ruggiero Cavallo, Prabhakar Krishnamurthy, Maxim Sviridenko, Christopher A. Wilkens |
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Exploring HTTP Header Manipulation In-The-Wild Gareth Tyson, Shan Huang, Félix Cuadrado, Ignacio Castro, Vasile Claudiu Perta, Arjuna Sathiaseelan, Steve Uhlig |
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