ACM World Wide Web, WWW 2017


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

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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

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Transparent Web Service Auditing via Network Provenance Functions

Adam M. 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

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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

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Collaborative Optimization for Collective Decision-making in Continuous Spaces

Nikhil Garg, Vijay Kamble, Ashish Goel, David Marn, Kamesh Munagala

Collaborative Optimization for Collective Decision-making in Continuous Spaces

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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

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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

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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

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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

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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

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Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs

Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian McAuley

Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs

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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

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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

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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

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Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity

Jack Hessel, Lillian Lee, David M. Mimno

Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity

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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?

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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

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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

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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

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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

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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

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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

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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

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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

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Author Comments: 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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Ten Blue Links on Mars

Charles L. A. Clarke, Gordon V. Cormack, Jimmy J. Lin, Adam Roegiest

Ten Blue Links on Mars

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Web Application Migration with Closure Reconstruction

Jin-woo Kwon, Soo-Mook Moon

Web Application Migration with Closure Reconstruction

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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

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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

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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

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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

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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

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Interplay between Social Influence and Network Centrality: A Comparative Study on Shapley Centrality and Single-Node-Influence Centrality

Wei Chen, Shang-Hua Teng

Interplay between Social Influence and Network Centrality: A Comparative Study on Shapley Centrality and Single-Node-Influence Centrality

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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

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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

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Scalable Motif-aware Graph Clustering

Charalampos E. Tsourakakis, Jakub Pachocki, Michael Mitzenmacher

Scalable Motif-aware Graph Clustering

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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

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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

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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

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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

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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

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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

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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

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Streaming Recommender Systems

Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang

Streaming Recommender Systems

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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

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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

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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

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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?

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The Web-Wide World

Mark Pesce

The Web-Wide World

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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

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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

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Competition and Selection Among Conventions

Rahmtin Rotabi, Cristian Danescu-Niculescu-Mizil, Jon M. Kleinberg

Competition and Selection Among Conventions

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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

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Using the Delay in a Treatment Effect to Improve Sensitivity and Preserve Directionality of Engagement Metrics in A/B Experiments

Alexey Drutsa, Gleb Gusev, Pavel Serdyukov

Using the Delay in a Treatment Effect to Improve Sensitivity and Preserve Directionality of Engagement Metrics in A/B Experiments

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Clustered Model Adaption for Personalized Sentiment Analysis

Lin Gong, Benjamin Haines, Hongning Wang

Clustered Model Adaption for Personalized Sentiment Analysis

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An Experimental Evaluation of Regret-Based Econometrics

Noam Nisan, Gali Noti

An Experimental Evaluation of Regret-Based Econometrics

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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

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Prices and Subsidies in the Sharing Economy

Zhixuan Fang, Longbo Huang, Adam Wierman

Prices and Subsidies in the Sharing Economy

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Why We Read Wikipedia

Philipp Singer, Florian Lemmerich, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, Jure Leskovec

Why We Read Wikipedia

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FLOCK: Combating Astroturfing on Livestreaming Platforms

Neil Shah

FLOCK: Combating Astroturfing on Livestreaming Platforms

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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

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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

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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

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Artifacts for some papers are reviewed by an artifact evaluation, reproducibility, or similarly named committee. This is one such paper that passed review.
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GSP: The Cinderella of Mechanism Design

Christopher A. Wilkens, Ruggiero Cavallo, Rad Niazadeh

GSP: The Cinderella of Mechanism Design

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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?

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nTD: Noise-Profile Adaptive Tensor Decomposition

Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino

nTD: Noise-Profile Adaptive Tensor Decomposition

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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

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Beyond Globally Optimal: Focused Learning for Improved Recommendations

Alex Beutel, Ed Huai-hsin Chi, Zhiyuan Cheng, Hubert Pham, John Anderson

Beyond Globally Optimal: Focused Learning for Improved Recommendations

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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

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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

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Correlation Clustering with Low-Rank Matrices

Nate Veldt, Anthony Ian Wirth, David F. Gleich

Correlation Clustering with Low-Rank Matrices

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Theory of the GMM Kernel

Ping Li, Cun-Hui Zhang

Theory of the GMM Kernel

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LETOR Methods for Unsupervised Rank Aggregation

Avradeep Bhowmik, Joydeep Ghosh

LETOR Methods for Unsupervised Rank Aggregation

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Location Privacy-Preserving Task Allocation for Mobile Crowdsensing with Differential Geo-Obfuscation

Leye Wang, Dingqi Yang, Xiao Han, Tianben Wang, Daqing Zhang, Xiaojuan Ma

Location Privacy-Preserving Task Allocation for Mobile Crowdsensing with Differential Geo-Obfuscation

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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

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Cascades: A View from Audience

Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma

Cascades: A View from Audience

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Submodular Optimization Over Sliding Windows

Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam

Submodular Optimization Over Sliding Windows

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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

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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 Hong

An Explorative Study of the Mobile App Ecosystem from App Developers' Perspective

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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

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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

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Consistent Weighted Sampling Made More Practical

Wei Wu, Bin Li, Ling Chen, Chengqi Zhang

Consistent Weighted Sampling Made More Practical

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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

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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

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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

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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

Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance

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Collaborative Metric Learning

Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, Deborah Estrin

Collaborative Metric Learning

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Some Recipes Can Do More Than Spoil Your Appetite: Analyzing the Security and Privacy Risks of IFTTT Recipes

Milijana Surbatovich, Jassim Aljuraidan, Lujo Bauer, Anupam Das, Limin Jia

Some Recipes Can Do More Than Spoil Your Appetite: Analyzing the Security and Privacy Risks of IFTTT Recipes

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An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks

Minglai Shao, Jianxin Li, Feng Chen, Hongyi Huang, Shuai Zhang, Xunxun Chen

An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks

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Information Extraction in Illicit Web Domains

Mayank Kejriwal, Pedro Szekely

Information Extraction in Illicit Web Domains

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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

Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model

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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

Is Saki #delicious?: The Food Perception Gap on Instagram and Its Relation to Health

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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

Tools for Automated Analysis of Cybercriminal Markets

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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

Distilling Information Reliability and Source Trustworthiness from Digital Traces

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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

DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing

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Deals or No Deals: Contract Design for Online Advertising

Vahab S. Mirrokni, Hamid Nazerzadeh

Deals or No Deals: Contract Design for Online Advertising

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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

Pinning Down Abuse on Google Maps

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Portfolio Optimization for Influence Spread

Naoto Ohsaka, Yuichi Yoshida

Portfolio Optimization for Influence Spread

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Taming the Data Deluge to Unravel the Mysteries of the Universe

Melanie Johnston-Hollitt

Taming the Data Deluge to Unravel the Mysteries of the Universe

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Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

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Neural Collaborative Filtering

Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua

Neural Collaborative Filtering

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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

On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites

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Budget Management Strategies in Repeated Auctions

Santiago R. Balseiro, Anthony Kim, Mohammad Mahdian, Vahab S. Mirrokni

Budget Management Strategies in Repeated Auctions

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Detecting Collusive Spamming Activities in Community Question Answering

Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma

Detecting Collusive Spamming Activities in Community Question Answering

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Reducing Latency by Eliminating Synchrony

Min Hong Yun, Songtao He, Lin Zhong

Reducing Latency by Eliminating Synchrony

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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

Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks

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Drawing Sound Conclusions from Noisy Judgments

David Goldberg, Andrew Trotman, Xiao Wang, Wei Min, Zongru Wan

Drawing Sound Conclusions from Noisy Judgments

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Characterizing Email Search using Large-scale Behavioral Logs and Surveys

Qingyao Ai, Susan T. Dumais, Nick Craswell, Daniel J. Liebling

Characterizing Email Search using Large-scale Behavioral Logs and Surveys

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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

Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level

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Probabilistic Visitor Stitching on Cross-Device Web Logs

Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor

Probabilistic Visitor Stitching on Cross-Device Web Logs

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Extracting Emerging Knowledge from Social Media

Marco Brambilla, Stefano Ceri, Emanuele Della Valle, Riccardo Volonterio, Felix Xavier Acero Salazar

Extracting Emerging Knowledge from Social Media

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Promoting Relevant Results in Time-Ranked Mail Search

David Carmel, Liane Lewin-Eytan, Alex Libov, Yoelle Maarek, Ariel Raviv

Promoting Relevant Results in Time-Ranked Mail Search

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On the Content Security Policy Violations due to the Same-Origin Policy

Dolière Francis Somé, Nataliia Bielova, Tamara Rezk

On the Content Security Policy Violations due to the Same-Origin Policy

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Web Search as a Linguistic Tool

Adam Fourney, Meredith Ringel Morris, Ryen W. White

Web Search as a Linguistic Tool

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Performance Monitoring and Root Cause Analysis for Cloud-hosted Web Applications

Hiranya Jayathilaka, Chandra Krintz, Rich Wolski

Performance Monitoring and Root Cause Analysis for Cloud-hosted Web Applications

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Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics

Sourav Dutta, Pratik Nayek, Arnab Bhattacharya

Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics

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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 A. Baeza-Yates, Hongyuan Zha

Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion

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De-anonymizing Web Browsing Data with Social Networks

Jessica Su, Ansh Shukla, Sharad Goel, Arvind Narayanan

De-anonymizing Web Browsing Data with Social Networks

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Usage Patterns and the Economics of the Public Cloud

Cinar Kilcioglu, Justin M. Rao, Aadharsh Kannan, R. Preston McAfee

Usage Patterns and the Economics of the Public Cloud

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When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors

Aneesh Sharma, C. Seshadhri, Ashish Goel

When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors

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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

Monetary Discount Strategies for Real-Time Promotion Campaign

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Semi-supervised Clustering in Attributed Heterogeneous Information Networks

Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng

Semi-supervised Clustering in Attributed Heterogeneous Information Networks

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DeepMood: Forecasting Depressed Mood Based on Self-Reported Histories via Recurrent Neural Networks

Yoshihiko Suhara, Yinzhan Xu, Alex Sandy Pentland

DeepMood: Forecasting Depressed Mood Based on Self-Reported Histories via Recurrent Neural Networks

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Segmenting Two-Sided Markets

Siddhartha Banerjee, Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala

Segmenting Two-Sided Markets

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Linear Additive Markov Processes

Ravi Kumar, Maithra Raghu, Tamás Sarlós, Andrew Tomkins

Linear Additive Markov Processes

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ESCAPE: Efficiently Counting All 5-Vertex Subgraphs

Ali Pinar, C. Seshadhri, Vaidyanathan Vishal

ESCAPE: Efficiently Counting All 5-Vertex Subgraphs

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Almond: The Architecture of an Open, Crowdsourced, Privacy-Preserving, Programmable Virtual Assistant

Giovanni Campagna, Rakesh Ramesh, Silei Xu, Michael Fischer, Monica S. Lam

Almond: The Architecture of an Open, Crowdsourced, Privacy-Preserving, Programmable Virtual Assistant

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A Fast and Provable Method for Estimating Clique Counts Using Turán's Theorem

Shweta Jain, C. Seshadhri

A Fast and Provable Method for Estimating Clique Counts Using Turán's Theorem

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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

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Author Comments: 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

Indexing Public-Private Graphs

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The k-peak Decomposition: Mapping the Global Structure of Graphs

Priya Govindan, Chenghong Wang, Chumeng Xu, Hongyu Duan, Sucheta Soundarajan

The k-peak Decomposition: Mapping the Global Structure of Graphs

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A Generic Coordinate Descent Framework for Learning from Implicit Feedback

Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle

A Generic Coordinate Descent Framework for Learning from Implicit Feedback

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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

Push or Request: An Investigation of HTTP/2 Server Push for Improving Mobile Performance

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Using Participatory Web-based Surveillance Data to Improve Seasonal Influenza Forecasting in Italy

Daniela Perrotta, Michele Tizzoni, Daniela Paolotti

Using Participatory Web-based Surveillance Data to Improve Seasonal Influenza Forecasting in Italy

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DeepCas: An End-to-end Predictor of Information Cascades

Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei

DeepCas: An End-to-end Predictor of Information Cascades

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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

Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules

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Optimizing the Recency-Relevancy Trade-off in Online News Recommendations

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi

Optimizing the Recency-Relevancy Trade-off in Online News Recommendations

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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

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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

Mobile Sensing at the Service of Mental Well-being: a Large-scale Longitudinal Study

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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

Understanding and Discovering Deliberate Self-harm Content in Social Media

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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

The Onions Have Eyes: A Comprehensive Structure and Privacy Analysis of Tor Hidden Services

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The Spread of Physical Activity Through Social Networks

David Stück, Haraldur Tómas Hallgrímsson, Greg Ver Steeg, Alessandro Epasto, Luca Foschini

The Spread of Physical Activity Through Social Networks

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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

What's in a Name?: Understanding Profile Name Reuse on Twitter

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Modeling the Dynamics of Learning Activity on the Web

Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez

Modeling the Dynamics of Learning Activity on the Web

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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

Sangoshthi: Empowering Community Health Workers through Peer Learning in Rural India

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Decoupled Collaborative Ranking

Jun Hu, Ping Li

Decoupled Collaborative Ranking

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Investigating the Healthiness of Internet-Sourced Recipes: Implications for Meal Planning and Recommender Systems

Christoph Trattner, David Elsweiler

Investigating the Healthiness of Internet-Sourced Recipes: Implications for Meal Planning and Recommender Systems

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Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching

HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu

Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching

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Neural Underpinnings of Website Legitimacy and Familiarity Detection: An fNIRS Study

Ajaya Neupane, Nitesh Saxena, Leanne M. Hirshfield

Neural Underpinnings of Website Legitimacy and Familiarity Detection: An fNIRS Study

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Ex Machina: Personal Attacks Seen at Scale

Ellery Wulczyn, Nithum Thain, Lucas Dixon

Ex Machina: Personal Attacks Seen at Scale

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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

AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields

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SMARTGEN: Exposing Server URLs of Mobile Apps With Selective Symbolic Execution

Chaoshun Zuo, Zhiqiang Lin

SMARTGEN: Exposing Server URLs of Mobile Apps With Selective Symbolic Execution

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Template Induction over Unstructured Email Corpora

Julia Proskurnia, Marc-Allen Cartright, Lluis Garcia Pueyo, Ivo Krka, James Bradley Wendt, Tobias Kaufmann, Balint Miklos

Template Induction over Unstructured Email Corpora

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Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance

Vasileios Lampos, Bin Zou, Ingemar Johansson Cox

Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance

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Large Scale Density-friendly Graph Decomposition via Convex Programming

Maximilien Danisch, T.-H. Hubert Chan, Mauro Sozio

Large Scale Density-friendly Graph Decomposition via Convex Programming

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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

Blotter: Low Latency Transactions for Geo-Replicated Storage

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Blood Pressure Prediction via Recurrent Models with Contextual Layer

Xiaohan Li, Shu Wu, Liang Wang

Blood Pressure Prediction via Recurrent Models with Contextual Layer

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Sponsored Search Auctions with Rich Ads

Ruggiero Cavallo, Prabhakar Krishnamurthy, Maxim Sviridenko, Christopher A. Wilkens

Sponsored Search Auctions with Rich Ads

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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

Exploring HTTP Header Manipulation In-The-Wild

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