ACM World Wide Web, WWW 2018


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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Mining Tours and Paths in Activity Networks

Sofia Maria Nikolakaki, Charalampos Mavroforakis, Alina Ene, Evimaria Terzi

Mining Tours and Paths in Activity Networks

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"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates

Chenhao Tan, Hao Peng, Noah A. Smith

"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates

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Uncovering HTTP Header Inconsistencies and the Impact on Desktop/Mobile Websites

Abner Mendoza, Phakpoom Chinprutthiwong, Guofei Gu

Uncovering HTTP Header Inconsistencies and the Impact on Desktop/Mobile Websites

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Variational Autoencoders for Collaborative Filtering

Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, Tony Jebara

Variational Autoencoders for Collaborative Filtering

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Prediction of Sparse User-Item Consumption Rates with Zero-Inflated Poisson Regression

Moshe Lichman, Padhraic Smyth

Prediction of Sparse User-Item Consumption Rates with Zero-Inflated Poisson Regression

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The Size Conundrum: Why Online Knowledge Markets Can Fail at Scale

Himel Dev, Chase Geigle, Qingtao Hu, Jiahui Zheng, Hari Sundaram

The Size Conundrum: Why Online Knowledge Markets Can Fail at Scale

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A Correlation Clustering Framework for Community Detection

Nate Veldt, David F. Gleich, Anthony Wirth

A Correlation Clustering Framework for Community Detection

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Time Expression Recognition Using a Constituent-based Tagging Scheme

Xiaoshi Zhong, Erik Cambria

Time Expression Recognition Using a Constituent-based Tagging Scheme

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Exposing Search and Advertisement Abuse Tactics and Infrastructure of Technical Support Scammers

Bharat Srinivasan, Athanasios Kountouras, Najmeh Miramirkhani, Monjur Alam, Nick Nikiforakis, Manos Antonakakis, Mustaque Ahamad

Exposing Search and Advertisement Abuse Tactics and Infrastructure of Technical Support Scammers

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What We Read, What We Search: Media Attention and Public Attention Among 193 Countries

Haewoon Kwak, Jisun An, Joni Salminen, Soon-Gyo Jung, Bernard J. Jansen

What We Read, What We Search: Media Attention and Public Attention Among 193 Countries

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Fast Exact CoSimRank Search on Evolving and Static Graphs

Weiren Yu, Fan Wang

Fast Exact CoSimRank Search on Evolving and Static Graphs

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Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

Zhiyong Cheng, Ying Ding, Lei Zhu, Mohan S. Kankanhalli

Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

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Facet Annotation Using Reference Knowledge Bases

Riccardo Porrini, Matteo Palmonari, Isabel F. Cruz

Facet Annotation Using Reference Knowledge Bases

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Modeling Interdependent and Periodic Real-World Action Sequences

Takeshi Kurashima, Tim Althoff, Jure Leskovec

Modeling Interdependent and Periodic Real-World Action Sequences

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Mile High WiFi: A First Look At In-Flight Internet Connectivity

John P. Rula, James Newman, Fabián E. Bustamante, Arash Molavi Kakhki, David R. Choffnes

Mile High WiFi: A First Look At In-Flight Internet Connectivity

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Aesthetic-based Clothing Recommendation

Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin

Aesthetic-based Clothing Recommendation

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ProxyTorrent: Untangling the Free HTTP(S) Proxy Ecosystem

Diego Perino, Matteo Varvello, Claudio Soriente

ProxyTorrent: Untangling the Free HTTP(S) Proxy Ecosystem

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TEM: Tree-enhanced Embedding Model for Explainable Recommendation

Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua

TEM: Tree-enhanced Embedding Model for Explainable Recommendation

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Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text

Yixuan Cao, Hongwei Li, Ping Luo, Jiaquan Yao

Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text

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Creating Crowdsourced Research Talks at Scale

Rajan Vaish, Shirish Goyal, Amin Saberi, Sharad Goel

Creating Crowdsourced Research Talks at Scale

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AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering

Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu

AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering

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Listing k-cliques in Sparse Real-World Graphs

Maximilien Danisch, Oana Denisa Balalau, Mauro Sozio

Listing k-cliques in Sparse Real-World Graphs

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Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning

Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning

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Arrays of (locality-sensitive) Count Estimators (ACE): Anomaly Detection on the Edge

Chen Luo, Anshumali Shrivastava

Arrays of (locality-sensitive) Count Estimators (ACE): Anomaly Detection on the Edge

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StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow

Ziyu Yao, Daniel S. Weld, Wei-Peng Chen, Huan Sun

StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow

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Modelling Dynamics in Semantic Web Knowledge Graphs with Formal Concept Analysis

Larry González, Aidan Hogan

Modelling Dynamics in Semantic Web Knowledge Graphs with Formal Concept Analysis

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Dynamic Embeddings for Language Evolution

Maja R. Rudolph, David M. Blei

Dynamic Embeddings for Language Evolution

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Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks

Abir De, Sourangshu Bhattacharya, Niloy Ganguly

Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks

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Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations

Tian Shi, Kyeongpil Kang, Jaegul Choo, Chandan K. Reddy

Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations

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Measuring and Improving the Core Resilience of Networks

Ricky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan

Measuring and Improving the Core Resilience of Networks

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Betrayed by Your Dashboard: Discovering Malicious Campaigns via Web Analytics

Oleksii Starov, Yuchen Zhou, Xiao Zhang, Najmeh Miramirkhani, Nick Nikiforakis

Betrayed by Your Dashboard: Discovering Malicious Campaigns via Web Analytics

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Detecting Crowdturfing "Add to Favorites" Activities in Online Shopping

Ning Su, Yiqun Liu, Zhao Li, Yuli Liu, Min Zhang, Shaoping Ma

Detecting Crowdturfing "Add to Favorites" Activities in Online Shopping

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Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text

Nir Grinberg

Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text

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Aladdin: Automating Release of Deep-Link APIs on Android

Yun Ma, Ziniu Hu, Yunxin Liu, Tao Xie, Xuanzhe Liu

Aladdin: Automating Release of Deep-Link APIs on Android

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I'm Listening to your Location! Inferring User Location with Acoustic Side Channels

Young Bae Jeon, Minchul Kim, Hyunsoo Kim, Hyoungshick Kim, Jun Ho Huh, Ji Won Yoon

I'm Listening to your Location! Inferring User Location with Acoustic Side Channels

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Conversational Query Understanding Using Sequence to Sequence Modeling

Gary Ren, Xiaochuan Ni, Manish Malik, Qifa Ke

Conversational Query Understanding Using Sequence to Sequence Modeling

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Semantics and Complexity of GraphQL

Olaf Hartig, Jorge Pérez

Semantics and Complexity of GraphQL

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Any-k: Anytime Top-k Tree Pattern Retrieval in Labeled Graphs

Xiaofeng Yang, Deepak Ajwani, Wolfgang Gatterbauer, Patrick K. Nicholson, Mirek Riedewald, Alessandra Sala

Any-k: Anytime Top-k Tree Pattern Retrieval in Labeled Graphs

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Mining E-Commerce Query Relations using Customer Interaction Networks

Bijaya Adhikari, Parikshit Sondhi, Wenke Zhang, Mohit Sharma, B. Aditya Prakash

Mining E-Commerce Query Relations using Customer Interaction Networks

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Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees

Minji Yoon, Woojeong Jin, U. Kang

Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees

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A Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data

Hong Huang, Bo Zhao, Hao Zhao, Zhou Zhuang, Zhenxuan Wang, Xiaoming Yao, Xinggang Wang, Hai Jin, Xiaoming Fu

A Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data

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Multi-instance Domain Adaptation for Vaccine Adverse Event Detection

Junxiang Wang, Liang Zhao

Multi-instance Domain Adaptation for Vaccine Adverse Event Detection

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User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction

Wei Zhang, Wen Wang, Jun Wang, Hongyuan Zha

User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction

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Auditing the Personalization and Composition of Politically-Related Search Engine Results Pages

Ronald E. Robertson, David Lazer, Christo Wilson

Auditing the Personalization and Composition of Politically-Related Search Engine Results Pages

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Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification

Emmanouil Krasanakis, Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Yiannis Kompatsiaris

Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification

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Detecting Absurd Conversations from Intelligent Assistant Logs by Exploiting User Feedback Utterances

Chikara Hashimoto, Manabu Sassano

Detecting Absurd Conversations from Intelligent Assistant Logs by Exploiting User Feedback Utterances

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Socioeconomic Dependencies of Linguistic Patterns in Twitter: a Multivariate Analysis

Jacob Levy Abitbol, Márton Karsai, Jean-Philippe Magué, Jean-Pierre Chevrot, Eric Fleury

Socioeconomic Dependencies of Linguistic Patterns in Twitter: a Multivariate Analysis

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Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising

Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising

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Scalable Supervised Discrete Hashing for Large-Scale Search

Xin Luo, Ye Wu, Xin-Shun Xu

Scalable Supervised Discrete Hashing for Large-Scale Search

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Bid-Limited Targeting

Patrick Hummel, Uri Nadav

Bid-Limited Targeting

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No Silk Road for Online Gamers!: Using Social Network Analysis to Unveil Black Markets in Online Games

Eunjo Lee, Jiyoung Woo, Hyoungshick Kim, Huy Kang Kim

No Silk Road for Online Gamers!: Using Social Network Analysis to Unveil Black Markets in Online Games

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SIDE: Representation Learning in Signed Directed Networks

Junghwan Kim, Haekyu Park, Ji-Eun Lee, U. Kang

SIDE: Representation Learning in Signed Directed Networks

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Mind Your Credit: Assessing the Health of the Ripple Credit Network

Pedro Moreno-Sanchez, Navin Modi, Raghuvir Songhela, Aniket Kate, Sonia Fahmy

Mind Your Credit: Assessing the Health of the Ripple Credit Network

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Improving Word Embedding Compositionality using Lexicographic Definitions

Thijs Scheepers, Evangelos Kanoulas, Efstratios Gavves

Improving Word Embedding Compositionality using Lexicographic Definitions

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CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

Shikhar Vashishth, Prince Jain, Partha Talukdar

CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

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Learning Causal Effects From Many Randomized Experiments Using Regularized Instrumental Variables

Alexander Peysakhovich, Dean Eckles

Learning Causal Effects From Many Randomized Experiments Using Regularized Instrumental Variables

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Platform Criminalism: The 'Last-Mile' Geography of the Darknet Market Supply Chain

Martin Dittus, Joss Wright, Mark Graham

Platform Criminalism: The 'Last-Mile' Geography of the Darknet Market Supply Chain

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A Coherent Unsupervised Model for Toponym Resolution

Ehsan Kamalloo, Davood Rafiei

A Coherent Unsupervised Model for Toponym Resolution

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Leveraging Fine-Grained Wikipedia Categories for Entity Search

Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang

Leveraging Fine-Grained Wikipedia Categories for Entity Search

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Are All People Married?: Determining Obligatory Attributes in Knowledge Bases

Jonathan Lajus, Fabian M. Suchanek

Are All People Married?: Determining Obligatory Attributes in Knowledge Bases

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Financing the Web of Data with Delayed-Answer Auctions

Tobias Grubenmann, Abraham Bernstein, Dmitry Moor, Sven Seuken

Financing the Web of Data with Delayed-Answer Auctions

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On the Causal Effect of Badges

Tomasz Kusmierczyk, Manuel Gomez-Rodriguez

On the Causal Effect of Badges

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Never-Ending Learning for Open-Domain Question Answering over Knowledge Bases

Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya, Gerhard Weikum

Never-Ending Learning for Open-Domain Question Answering over Knowledge Bases

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RaRE: Social Rank Regulated Large-scale Network Embedding

Yupeng Gu, Yizhou Sun, Yanen Li, Yang Yang

RaRE: Social Rank Regulated Large-scale Network Embedding

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Unveiling a Socio-Economic System in a Virtual World: A Case Study of an MMORPG

Selin Chun, Daejin Choi, Jinyoung Han, Huy Kang Kim, Taekyoung Kwon

Unveiling a Socio-Economic System in a Virtual World: A Case Study of an MMORPG

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Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews

Yichao Lu, Ruihai Dong, Barry Smyth

Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews

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A Structured Approach to Understanding Recovery and Relapse in AA

Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, Lise Getoor

A Structured Approach to Understanding Recovery and Relapse in AA

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A Feature-Oriented Sentiment Rating for Mobile App Reviews

Washington Luiz, Felipe Viegas, Rafael Odon de Alencar, Fernando Mourão, Thiago Salles, Dárlinton Carvalho, Marcos André Gonçalves, Leonardo C. da Rocha

A Feature-Oriented Sentiment Rating for Mobile App Reviews

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HighLife: Higher-arity Fact Harvesting

Patrick Ernst, Amy Siu, Gerhard Weikum

HighLife: Higher-arity Fact Harvesting

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Sentiment Analysis by Capsules

Yequan Wang, Aixin Sun, Jialong Han, Ying Liu, Xiaoyan Zhu

Sentiment Analysis by Capsules

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Neural Attentional Rating Regression with Review-level Explanations

Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma

Neural Attentional Rating Regression with Review-level Explanations

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Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

Yi Tay, Luu Anh Tuan, Siu Cheung Hui

Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

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Geographical Feature Extraction for Entities in Location-based Social Networks

Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu, Pearl Pu

Geographical Feature Extraction for Entities in Location-based Social Networks

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SafeKeeper: Protecting Web Passwords using Trusted Execution Environments

Klaudia Krawiecka, Arseny Kurnikov, Andrew Paverd, Mohammad Mannan, N. Asokan

SafeKeeper: Protecting Web Passwords using Trusted Execution Environments

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Low Rank Spectral Network Alignment

Huda Nassar, Nate Veldt, Shahin Mohammadi, Ananth Grama, David F. Gleich

Low Rank Spectral Network Alignment

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Sharing Deep Neural Network Models with Interpretation

Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu

Sharing Deep Neural Network Models with Interpretation

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(Don't) Mention the War: A Comparison of Wikipedia and Britannica Articles on National Histories

Anna Samoilenko, Florian Lemmerich, Maria Zens, Mohsen Jadidi, Mathieu Génois, Markus Strohmaier

(Don't) Mention the War: A Comparison of Wikipedia and Britannica Articles on National Histories

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Modeling Individual Cyclic Variation in Human Behavior

Emma Pierson, Tim Althoff, Jure Leskovec

Modeling Individual Cyclic Variation in Human Behavior

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Better Caching in Search Advertising Systems with Rapid Refresh Predictions

Conglong Li, David G. Andersen, Qiang Fu, Sameh Elnikety, Yuxiong He

Better Caching in Search Advertising Systems with Rapid Refresh Predictions

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Fully Dynamic k-Center Clustering

T.-H. Hubert Chan, Arnaud Guerqin, Mauro Sozio

Fully Dynamic k-Center Clustering

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Me, My Echo Chamber, and I: Introspection on Social Media Polarization

Nabeel Gillani, Ann Yuan, Martin Saveski, Soroush Vosoughi, Deb Roy

Me, My Echo Chamber, and I: Introspection on Social Media Polarization

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Anxiety and Information Seeking: Evidence From Large-Scale Mouse Tracking

Brit Youngmann, Elad Yom-Tov

Anxiety and Information Seeking: Evidence From Large-Scale Mouse Tracking

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Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification

Chenyi Zhuang, Qiang Ma

Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification

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Browserless Web Data Extraction: Challenges and Opportunities

Ruslan R. Fayzrakhmanov, Emanuel Sallinger, Ben Spencer, Tim Furche, Georg Gottlob

Browserless Web Data Extraction: Challenges and Opportunities

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Spectral Algorithms for Temporal Graph Cuts

Arlei Silva, Ambuj K. Singh, Ananthram Swami

Spectral Algorithms for Temporal Graph Cuts

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The Cost of Digital Advertisement: Comparing User and Advertiser Views

Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos

The Cost of Digital Advertisement: Comparing User and Advertiser Views

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Modeling Success and Engagement for the App Economy

Haim Mendelson, Ken Moon

Modeling Success and Engagement for the App Economy

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Incognito: A Method for Obfuscating Web Data

Rahat Masood, Dinusha Vatsalan, Muhammad Ikram, Mohamed Ali Kâafar

Incognito: A Method for Obfuscating Web Data

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Your Secrets Are Safe: How Browsers' Explanations Impact Misconceptions About Private Browsing Mode

Yuxi Wu, Panya Gupta, Miranda Wei, Yasemin Acar, Sascha Fahl, Blase Ur

Your Secrets Are Safe: How Browsers' Explanations Impact Misconceptions About Private Browsing Mode

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Query Suggestion with Feedback Memory Network

Bin Wu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu

Query Suggestion with Feedback Memory Network

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Algorithmic Glass Ceiling in Social Networks: The effects of social recommendations on network diversity

Ana-Andreea Stoica, Christopher J. Riederer, Augustin Chaintreau

Algorithmic Glass Ceiling in Social Networks: The effects of social recommendations on network diversity

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Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing

Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, Jing Gao

Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing

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Detecting Ponzi Schemes on Ethereum: Towards Healthier Blockchain Technology

Weili Chen, Zibin Zheng, Jiahui Cui, Edith C. H. Ngai, Peilin Zheng, Yuren Zhou

Detecting Ponzi Schemes on Ethereum: Towards Healthier Blockchain Technology

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VERSE: Versatile Graph Embeddings from Similarity Measures

Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller

VERSE: Versatile Graph Embeddings from Similarity Measures

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Leveraging Social Media Signals for Record Linkage

Andrew T. Schneider, Arjun Mukherjee, Eduard C. Dragut

Leveraging Social Media Signals for Record Linkage

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Strategies for Geographical Scoping and Improving a Gazetteer

Sanket Kumar Singh, Davood Rafiei

Strategies for Geographical Scoping and Improving a Gazetteer

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CHIMP: Crowdsourcing Human Inputs for Mobile Phones

Mário Almeida, Muhammad Bilal, Alessandro Finamore, Ilias Leontiadis, Yan Grunenberger, Matteo Varvello, Jeremy Blackburn

CHIMP: Crowdsourcing Human Inputs for Mobile Phones

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MemeSequencer: Sparse Matching for Embedding Image Macros

Abhimanyu Dubey, Esteban Moro, Manuel Cebrián, Iyad Rahwan

MemeSequencer: Sparse Matching for Embedding Image Macros

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Discovering Progression Stages in Trillion-Scale Behavior Logs

Kijung Shin, Mahdi Shafiei, Myunghwan Kim, Aastha Jain, Hema Raghavan

Discovering Progression Stages in Trillion-Scale Behavior Logs

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Hierarchical Variational Memory Network for Dialogue Generation

Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin

Hierarchical Variational Memory Network for Dialogue Generation

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Search Process as Transitions Between Neural States

Yashar Moshfeghi, Frank E. Pollick

Search Process as Transitions Between Neural States

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Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding

Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao

Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding

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Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa

Jie Yang, Thomas Drake, Andreas Damianou, Yoelle Maarek

Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa

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Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach

Srishti Gupta, Abhinav Khattar, Arpit Gogia, Ponnurangam Kumaraguru, Tanmoy Chakraborty

Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach

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Minimizing Polarization and Disagreement in Social Networks

Cameron Musco, Christopher Musco, Charalampos E. Tsourakakis

Minimizing Polarization and Disagreement in Social Networks

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Towards Annotating Relational Data on the Web with Language Models

Matteo Cannaviccio, Denilson Barbosa, Paolo Merialdo

Towards Annotating Relational Data on the Web with Language Models

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Multi-Task Learning Improves Disease Models from Web Search

Bin Zou, Vasileios Lampos, Ingemar J. Cox

Multi-Task Learning Improves Disease Models from Web Search

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Learning from Multi-View Multi-Way Data via Structural Factorization Machines

Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu

Learning from Multi-View Multi-Way Data via Structural Factorization Machines

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Modeling Dynamic Competition on Crowdfunding Markets

Yusan Lin, Peifeng Yin, Wang-Chien Lee

Modeling Dynamic Competition on Crowdfunding Markets

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An Automated Approach to Auditing Disclosure of Third-Party Data Collection in Website Privacy Policies

Timothy Libert

An Automated Approach to Auditing Disclosure of Third-Party Data Collection in Website Privacy Policies

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Ad Hoc Table Retrieval using Semantic Similarity

Shuo Zhang, Krisztian Balog

Ad Hoc Table Retrieval using Semantic Similarity

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SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations

Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong, Mark James Carman, Lexing Xie

SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations

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Finding Subcube Heavy Hitters in Analytics Data Streams

Branislav Kveton, S. Muthukrishnan, Hoa T. Vu, Yikun Xian

Finding Subcube Heavy Hitters in Analytics Data Streams

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Why Reinvent the Wheel: Let's Build Question Answering Systems Together

Kuldeep Singh, Arun Sethupat Radhakrishna, Andreas Both, Saeedeh Shekarpour, Ioanna Lytra, Ricardo Usbeck, Akhilesh Vyas, Akmal Khikmatullaev, Dharmen Punjani, Christoph Lange, Maria-Esther Vidal, Jens Lehmann, Sören Auer

Why Reinvent the Wheel: Let's Build Question Answering Systems Together

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How to Impute Missing Ratings?: Claims, Solution, and Its Application to Collaborative Filtering

Youngnam Lee, Sang-Wook Kim, Sunju Park, Xing Xie

How to Impute Missing Ratings?: Claims, Solution, and Its Application to Collaborative Filtering

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An Attention Factor Graph Model for Tweet Entity Linking

Chenwei Ran, Wei Shen, Jianyong Wang

An Attention Factor Graph Model for Tweet Entity Linking

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Hidden in Plain Sight: Classifying Emails Using Embedded Image Contents

Navneet Potti, James Bradley Wendt, Qi Zhao, Sandeep Tata, Marc Najork

Hidden in Plain Sight: Classifying Emails Using Embedded Image Contents

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AdBudgetKiller: Online Advertising Budget Draining Attack

I Luk Kim, Weihang Wang, Yonghwi Kwon, Yunhui Zheng, Yousra Aafer, Weijie Meng, Xiangyu Zhang

AdBudgetKiller: Online Advertising Budget Draining Attack

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Finding Needles in an Encyclopedic Haystack: Detecting Classes Among Wikipedia Articles

Marius Pasca

Finding Needles in an Encyclopedic Haystack: Detecting Classes Among Wikipedia Articles

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Inferring Missing Categorical Information in Noisy and Sparse Web Markup

Nicolas Tempelmeier, Elena Demidova, Stefan Dietze

Inferring Missing Categorical Information in Noisy and Sparse Web Markup

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Protecting Social Network Users from Impersonation

Carlos Faham, Grace Tang, Yuefeng Li, Edward Goldstein, Yuji Kosuga, Jenelle Bray, David Mandell Freeman

Protecting Social Network Users from Impersonation

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Learning on Partial-Order Hypergraphs

Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua

Learning on Partial-Order Hypergraphs

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To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period

Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li

To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period

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Dynamic Mechanism Design in the Field

Vahab S. Mirrokni, Renato Paes Leme, Rita Ren, Song Zuo

Dynamic Mechanism Design in the Field

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The Effect of Ad Blocking on User Engagement with the Web

Ben Miroglio, David Zeber, Jofish Kaye, Rebecca Weiss

The Effect of Ad Blocking on User Engagement with the Web

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On Ridesharing Competition and Accessibility: Evidence from Uber, Lyft, and Taxi

Shan Jiang, Le Chen, Alan Mislove, Christo Wilson

On Ridesharing Competition and Accessibility: Evidence from Uber, Lyft, and Taxi

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Robust Factorization Machines for User Response Prediction

Surabhi Punjabi, Priyanka Bhatt

Robust Factorization Machines for User Response Prediction

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PhotoReply: Automatically Suggesting Conversational Responses to Photos

Ning Ye, Ariel Fuxman, Vivek Ramavajjala, Sergey Nazarov, J. Patrick McGregor, Sujith Ravi

PhotoReply: Automatically Suggesting Conversational Responses to Photos

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Co-Regularized Deep Multi-Network Embedding

Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang

Co-Regularized Deep Multi-Network Embedding

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Manifold Learning for Rank Aggregation

Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke

Manifold Learning for Rank Aggregation

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Minimizing Latency in Online Ride and Delivery Services

Abhimanyu Das, Sreenivas Gollapudi, Anthony Kim, Debmalya Panigrahi, Chaitanya Swamy

Minimizing Latency in Online Ride and Delivery Services

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Multi-Task Pharmacovigilance Mining from Social Media Posts

Shaika Chowdhury, Chenwei Zhang, Philip S. Yu

Multi-Task Pharmacovigilance Mining from Social Media Posts

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"Satisfaction with Failure" or "Unsatisfied Success": Investigating the Relationship between Search Success and User Satisfaction

Mengyang Liu, Yiqun Liu, Jiaxin Mao, Cheng Luo, Min Zhang, Shaoping Ma

"Satisfaction with Failure" or "Unsatisfied Success": Investigating the Relationship between Search Success and User Satisfaction

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Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users

Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu

Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users

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Simple vs Optimal Contests with Convex Costs

Amy Greenwald, Takehiro Oyakawa, Vasilis Syrgkanis

Simple vs Optimal Contests with Convex Costs

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Content Attention Model for Aspect Based Sentiment Analysis

Qiao Liu, Haibin Zhang, Yifu Zeng, Ziqi Huang, Zufeng Wu

Content Attention Model for Aspect Based Sentiment Analysis

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When Sheep Shop: Measuring Herding Effects in Product Ratings with Natural Experiments

Gael Lederrey, Robert West

When Sheep Shop: Measuring Herding Effects in Product Ratings with Natural Experiments

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Crowd-based Multi-Predicate Screening of Papers in Literature Reviews

Evgeny Krivosheev, Fabio Casati, Boualem Benatallah

Crowd-based Multi-Predicate Screening of Papers in Literature Reviews

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VizByWiki: Mining Data Visualizations from the Web to Enrich News Articles

Allen Yilun Lin, Joshua Ford, Eytan Adar, Brent J. Hecht

VizByWiki: Mining Data Visualizations from the Web to Enrich News Articles

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Testing Incentive Compatibility in Display Ad Auctions

Sébastien Lahaie, Andrés Muñoz Medina, Balasubramanian Sivan, Sergei Vassilvitskii

Testing Incentive Compatibility in Display Ad Auctions

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Incentive-Aware Learning for Large Markets

Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Song Zuo

Incentive-Aware Learning for Large Markets

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Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time

Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time

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Beyond Keywords and Relevance: A Personalized Ad Retrieval Framework in E-Commerce Sponsored Search

Su Yan, Wei Lin, Tianshu Wu, Daorui Xiao, Xu Zheng, Bo Wu, Kaipeng Liu

Beyond Keywords and Relevance: A Personalized Ad Retrieval Framework in E-Commerce Sponsored Search

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Community Interaction and Conflict on the Web

Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky

Community Interaction and Conflict on the Web

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DRN: A Deep Reinforcement Learning Framework for News Recommendation

Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, Zhenhui Li

DRN: A Deep Reinforcement Learning Framework for News Recommendation

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Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification

Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla

Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification

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Find the Conversation Killers: A Predictive Study of Thread-ending Posts

Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei

Find the Conversation Killers: A Predictive Study of Thread-ending Posts

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Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship

Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis

Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship

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Attribution Inference for Digital Advertising using Inhomogeneous Poisson Models

Zachary Nichols, Adam Stein

Attribution Inference for Digital Advertising using Inhomogeneous Poisson Models

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Mapping the Invocation Structure of Online Political Interaction

Manish Raghavan, Ashton Anderson, Jon M. Kleinberg

Mapping the Invocation Structure of Online Political Interaction

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Reinforcement Mechanism Design for e-commerce

Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang

Reinforcement Mechanism Design for e-commerce

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Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network

Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying

Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network

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Tagvisor: A Privacy Advisor for Sharing Hashtags

Yang Zhang, Mathias Humbert, Tahleen Rahman, Cheng-Te Li, Jun Pang, Michael Backes

Tagvisor: A Privacy Advisor for Sharing Hashtags

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CrimeBB: Enabling Cybercrime Research on Underground Forums at Scale

Sergio Pastrana, Daniel R. Thomas, Alice Hutchings, Richard Clayton

CrimeBB: Enabling Cybercrime Research on Underground Forums at Scale

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DKN: Deep Knowledge-Aware Network for News Recommendation

Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo

DKN: Deep Knowledge-Aware Network for News Recommendation

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Matching Natural Language Sentences with Hierarchical Sentence Factorization

Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu

Matching Natural Language Sentences with Hierarchical Sentence Factorization

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Facebook (A)Live?: Are Live Social Broadcasts Really Broadcasts?

Aravindh Raman, Gareth Tyson, Nishanth Sastry

Facebook (A)Live?: Are Live Social Broadcasts Really Broadcasts?

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Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction

Nina Grgic-Hlaca, Elissa M. Redmiles, Krishna P. Gummadi, Adrian Weller

Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction

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ROSC: Robust Spectral Clustering on Multi-scale Data

Xiang Li, Ben Kao, Siqiang Luo, Martin Ester

ROSC: Robust Spectral Clustering on Multi-scale Data

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Privacy and Efficiency Tradeoffs for Multiword Top K Search with Linear Additive Rank Scoring

Daniel Agun, Jinjin Shao, Shiyu Ji, Stefano Tessaro, Tao Yang

Privacy and Efficiency Tradeoffs for Multiword Top K Search with Linear Additive Rank Scoring

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Hiding in the Crowd: an Analysis of the Effectiveness of Browser Fingerprinting at Large Scale

Alejandro Gómez-Boix, Pierre Laperdrix, Benoit Baudry

Hiding in the Crowd: an Analysis of the Effectiveness of Browser Fingerprinting at Large Scale

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Understanding and Predicting Delay in Reciprocal Relations

Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu

Understanding and Predicting Delay in Reciprocal Relations

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Estimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation

Giorgio Stefanoni, Boris Motik, Egor V. Kostylev

Estimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation

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When Online Dating Meets Nash Social Welfare: Achieving Efficiency and Fairness

Yongzheng Jia, Xue Liu, Wei Xu

When Online Dating Meets Nash Social Welfare: Achieving Efficiency and Fairness

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HTTP/2 Prioritization and its Impact on Web Performance

Maarten Wijnants, Robin Marx, Peter Quax, Wim Lamotte

HTTP/2 Prioritization and its Impact on Web Performance

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TIMES: Temporal Information Maximally Extracted from Structures

Abram N. Magner, Jithin K. Sreedharan, Ananth Y. Grama, Wojciech Szpankowski

TIMES: Temporal Information Maximally Extracted from Structures

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I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application

Zhiyuan Lin, Tim Althoff, Jure Leskovec

I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application

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Optimizing Ad Refresh In Mobile App Advertising

Florin Constantin, Christopher Harris, Samuel Ieong, Aranyak Mehta, Xi Tan

Optimizing Ad Refresh In Mobile App Advertising

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Large-Scale Analysis of Style Injection by Relative Path Overwrite

Sajjad Arshad, Seyed Ali Mirheidari, Tobias Lauinger, Bruno Crispo, Engin Kirda, William K. Robertson

Large-Scale Analysis of Style Injection by Relative Path Overwrite

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A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval

Sunil Mohan, Nicolas Fiorini, Sun Kim, Zhiyong Lu

A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval

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Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning

Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu

Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning

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A Short-term Intervention for Long-term Fairness in the Labor Market

Lily Hu, Yiling Chen

A Short-term Intervention for Long-term Fairness in the Labor Market

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Did You Really Just Have a Heart Attack?: Towards Robust Detection of Personal Health Mentions in Social Media

Payam Karisani, Eugene Agichtein

Did You Really Just Have a Heart Attack?: Towards Robust Detection of Personal Health Mentions in Social Media

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A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews

Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy

A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews

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Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating

Eric Malmi, Aristides Gionis, Arno Solin

Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating

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Joint User- and Event- Driven Stable Social Event Organization

Xin Wang, Wenwu Zhu, Chun Chen, Martin Ester

Joint User- and Event- Driven Stable Social Event Organization

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Incentive-Compatible Diffusion

Yakov Babichenko, Oren Dean, Moshe Tennenholtz

Incentive-Compatible Diffusion

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Provable and Practical Approximations for the Degree Distribution using Sublinear Graph Samples

Talya Eden, Shweta Jain, Ali Pinar, Dana Ron, C. Seshadhri

Provable and Practical Approximations for the Degree Distribution using Sublinear Graph Samples

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Attention Convolutional Neural Network for Advertiser-level Click-through Rate Forecasting

Hongchang Gao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang

Attention Convolutional Neural Network for Advertiser-level Click-through Rate Forecasting

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Online Compact Convexified Factorization Machine

Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang

Online Compact Convexified Factorization Machine

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Preferential Attachment as a Unique Equilibrium

Chen Avin, Avi Cohen, Pierre Fraigniaud, Zvi Lotker, David Peleg

Preferential Attachment as a Unique Equilibrium

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On Exploring Semantic Meanings of Links for Embedding Social Networks

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

On Exploring Semantic Meanings of Links for Embedding Social Networks

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DeepMove: Predicting Human Mobility with Attentional Recurrent Networks

Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin

DeepMove: Predicting Human Mobility with Attentional Recurrent Networks

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Deep Collective Classification in Heterogeneous Information Networks

Yizhou Zhang, Yun Xiong, Xiangnan Kong, Shanshan Li, Jinhong Mi, Yangyong Zhu

Deep Collective Classification in Heterogeneous Information Networks

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Bayesian Models for Product Size Recommendations

Vivek Sembium, Rajeev Rastogi, Lavanya Tekumalla, Atul Saroop

Bayesian Models for Product Size Recommendations

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Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, Honglin Qiao

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

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Estimating Rule Quality for Knowledge Base Completion with the Relationship between Coverage Assumption

Kaja Zupanc, Jesse Davis

Estimating Rule Quality for Knowledge Base Completion with the Relationship between Coverage Assumption

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Panning for gold.com: Understanding the Dynamics of Domain Dropcatching

Najmeh Miramirkhani, Timothy Barron, Michael Ferdman, Nick Nikiforakis

Panning for gold.com: Understanding the Dynamics of Domain Dropcatching

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Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

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Web-Based VR Experiments Powered by the Crowd

Xiao Ma, Megan Cackett, Leslie Park, Eric Chien, Mor Naaman

Web-Based VR Experiments Powered by the Crowd

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Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

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