| 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 Details |
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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 Details |
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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 Details |
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Variational Autoencoders for Collaborative Filtering Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, Tony Jebara |
Variational Autoencoders for Collaborative Filtering Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Facet Annotation Using Reference Knowledge Bases Riccardo Porrini, Matteo Palmonari, Isabel F. Cruz |
Facet Annotation Using Reference Knowledge Bases Details |
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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 Details |
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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 Details |
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Aesthetic-based Clothing Recommendation Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin |
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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 Details |
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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 Details |
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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 Details |
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Creating Crowdsourced Research Talks at Scale Rajan Vaish, Shirish Goyal, Amin Saberi, Sharad Goel |
Creating Crowdsourced Research Talks at Scale Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Dynamic Embeddings for Language Evolution Maja R. Rudolph, David M. Blei |
Dynamic Embeddings for Language Evolution Details |
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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 Details |
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Tian Shi, Kyeongpil Kang, Jaegul Choo, Chandan K. Reddy |
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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 Details |
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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 Details |
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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 Details |
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Nir Grinberg |
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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 Details |
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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 Details |
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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 Details |
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Semantics and Complexity of GraphQL Olaf Hartig, Jorge Pérez |
Semantics and Complexity of GraphQL Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Chikara Hashimoto, Manabu Sassano |
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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 Details |
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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 Details |
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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 Details |
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Patrick Hummel, Uri Nadav |
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Eunjo Lee, Jiyoung Woo, Hyoungshick Kim, Huy Kang Kim |
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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 Details |
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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 Details |
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Improving Word Embedding Compositionality using Lexicographic Definitions Thijs Scheepers, Evangelos Kanoulas, Efstratios Gavves |
Improving Word Embedding Compositionality using Lexicographic Definitions Details |
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CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information Shikhar Vashishth, Prince Jain, Partha P. Talukdar |
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information Details |
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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 Details |
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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 Details |
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A Coherent Unsupervised Model for Toponym Resolution Ehsan Kamalloo, Davood Rafiei |
A Coherent Unsupervised Model for Toponym Resolution Details |
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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 Details |
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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 Details |
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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 Details |
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On the Causal Effect of Badges Tomasz Kusmierczyk, Manuel Gomez-Rodriguez |
On the Causal Effect of Badges Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 B. F. Carvalho, Marcos André Gonçalves, Leonardo C. da Rocha |
A Feature-Oriented Sentiment Rating for Mobile App Reviews Details |
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HighLife: Higher-arity Fact Harvesting Patrick Ernst, Amy Siu, Gerhard Weikum |
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Sentiment Analysis by Capsules Yequan Wang, Aixin Sun, Jialong Han, Ying Liu, Xiaoyan Zhu |
Sentiment Analysis by Capsules Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Modeling Individual Cyclic Variation in Human Behavior Emma Pierson, Tim Althoff, Jure Leskovec |
Modeling Individual Cyclic Variation in Human Behavior Details |
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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 Details |
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Fully Dynamic k-Center Clustering T.-H. Hubert Chan, Arnaud Guerqin, Mauro Sozio |
Fully Dynamic k-Center Clustering Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Spectral Algorithms for Temporal Graph Cuts Arlei Silva, Ambuj K. Singh, Ananthram Swami |
Spectral Algorithms for Temporal Graph Cuts Details |
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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 Details |
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Modeling Success and Engagement for the App Economy Haim Mendelson, Ken Moon |
Modeling Success and Engagement for the App Economy Details |
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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 Details |
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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 Details |
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Query Suggestion with Feedback Memory Network Bin Wu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu |
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Ana-Andreea Stoica, Christopher J. Riederer, Augustin Chaintreau |
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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 |
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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 |
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VERSE: Versatile Graph Embeddings from Similarity Measures Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller |
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Leveraging Social Media Signals for Record Linkage Andrew T. Schneider, Arjun Mukherjee, Eduard C. Dragut |
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Strategies for Geographical Scoping and Improving a Gazetteer Sanket Kumar Singh, Davood Rafiei |
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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 |
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MemeSequencer: Sparse Matching for Embedding Image Macros Abhimanyu Dubey, Esteban Moro, Manuel Cebrián, Iyad Rahwan |
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Discovering Progression Stages in Trillion-Scale Behavior Logs Kijung Shin, Mahdi Shafiei, Myunghwan Kim, Aastha Jain, Hema Raghavan |
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Hierarchical Variational Memory Network for Dialogue Generation Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin |
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Search Process as Transitions Between Neural States Yashar Moshfeghi, Frank E. Pollick |
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Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao |
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Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa Jie Yang, Thomas Drake, Andreas C. Damianou, Yoelle Maarek |
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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 |
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Minimizing Polarization and Disagreement in Social Networks Cameron Musco, Christopher Musco, Charalampos E. Tsourakakis |
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Towards Annotating Relational Data on the Web with Language Models Matteo Cannaviccio, Denilson Barbosa, Paolo Merialdo |
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Multi-Task Learning Improves Disease Models from Web Search Bin Zou, Vasileios Lampos, Ingemar J. Cox |
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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 |
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Modeling Dynamic Competition on Crowdfunding Markets Yusan Lin, Peifeng Yin, Wang-Chien Lee |
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Timothy Libert |
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Ad Hoc Table Retrieval using Semantic Similarity Shuo Zhang, Krisztian Balog |
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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 |
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Finding Subcube Heavy Hitters in Analytics Data Streams Branislav Kveton, S. Muthukrishnan, Hoa T. Vu, Yikun Xian |
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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 |
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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 |
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An Attention Factor Graph Model for Tweet Entity Linking Chenwei Ran, Wei Shen, Jianyong Wang |
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Hidden in Plain Sight: Classifying Emails Using Embedded Image Contents Navneet Potti, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork |
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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 |
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Finding Needles in an Encyclopedic Haystack: Detecting Classes Among Wikipedia Articles Marius Pasca |
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Inferring Missing Categorical Information in Noisy and Sparse Web Markup Nicolas Tempelmeier, Elena Demidova, Stefan Dietze |
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Learning on Partial-Order Hypergraphs Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua |
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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 |
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Dynamic Mechanism Design in the Field Vahab S. Mirrokni, Renato Paes Leme, Rita Ren, Song Zuo |
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The Effect of Ad Blocking on User Engagement with the Web Ben Miroglio, David Zeber, Jofish Kaye, Rebecca Weiss |
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On Ridesharing Competition and Accessibility: Evidence from Uber, Lyft, and Taxi Shan Jiang, Le Chen, Alan Mislove, Christo Wilson |
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Robust Factorization Machines for User Response Prediction Surabhi Punjabi, Priyanka Bhatt |
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PhotoReply: Automatically Suggesting Conversational Responses to Photos Ning Ye, Ariel Fuxman, Vivek Ramavajjala, Sergey Nazarov, J. Patrick McGregor, Sujith Ravi |
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Co-Regularized Deep Multi-Network Embedding Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang |
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Manifold Learning for Rank Aggregation Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke |
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Minimizing Latency in Online Ride and Delivery Services Abhimanyu Das, Sreenivas Gollapudi, Anthony Kim, Debmalya Panigrahi, Chaitanya Swamy |
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Multi-Task Pharmacovigilance Mining from Social Media Posts Shaika Chowdhury, Chenwei Zhang, Philip S. Yu |
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Mengyang Liu, Yiqun Liu, Jiaxin Mao, Cheng Luo, Min Zhang, Shaoping Ma |
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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 |
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Simple vs Optimal Contests with Convex Costs Amy Greenwald, Takehiro Oyakawa, Vasilis Syrgkanis |
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Content Attention Model for Aspect Based Sentiment Analysis Qiao Liu, Haibin Zhang, Yifu Zeng, Ziqi Huang, Zufeng Wu |
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When Sheep Shop: Measuring Herding Effects in Product Ratings with Natural Experiments Gael Lederrey, Robert West |
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Crowd-based Multi-Predicate Screening of Papers in Literature Reviews Evgeny Krivosheev, Fabio Casati, Boualem Benatallah |
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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 |
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Testing Incentive Compatibility in Display Ad Auctions Sébastien Lahaie, Andrés Muñoz Medina, Balasubramanian Sivan, Sergei Vassilvitskii |
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Incentive-Aware Learning for Large Markets Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Song Zuo |
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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 |
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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 |
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Community Interaction and Conflict on the Web Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky |
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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 |
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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 |
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Find the Conversation Killers: A Predictive Study of Thread-ending Posts Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei |
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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 |
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Attribution Inference for Digital Advertising using Inhomogeneous Poisson Models Zachary Nichols, Adam Stein |
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Mapping the Invocation Structure of Online Political Interaction Manish Raghavan, Ashton Anderson, Jon M. Kleinberg |
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Reinforcement Mechanism Design for e-commerce Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang |
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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 |
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Tagvisor: A Privacy Advisor for Sharing Hashtags Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes |
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CrimeBB: Enabling Cybercrime Research on Underground Forums at Scale Sergio Pastrana, Daniel R. Thomas, Alice Hutchings, Richard Clayton |
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DKN: Deep Knowledge-Aware Network for News Recommendation Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo |
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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 |
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Facebook (A)Live?: Are Live Social Broadcasts Really Broadcasts? Aravindh Raman, Gareth Tyson, Nishanth Sastry |
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Nina Grgic-Hlaca, Elissa M. Redmiles, Krishna P. Gummadi, Adrian Weller |
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ROSC: Robust Spectral Clustering on Multi-scale Data Xiang Li, Ben Kao, Siqiang Luo, Martin Ester |
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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 |
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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 |
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Understanding and Predicting Delay in Reciprocal Relations Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu |
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Estimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation Giorgio Stefanoni, Boris Motik, Egor V. Kostylev |
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When Online Dating Meets Nash Social Welfare: Achieving Efficiency and Fairness Yongzheng Jia, Xue Liu, Wei Xu |
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HTTP/2 Prioritization and its Impact on Web Performance Maarten Wijnants, Robin Marx, Peter Quax, Wim Lamotte |
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TIMES: Temporal Information Maximally Extracted from Structures Abram N. Magner, Jithin K. Sreedharan, Ananth Y. Grama, Wojciech Szpankowski |
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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 |
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Optimizing Ad Refresh In Mobile App Advertising Florin Constantin, Christopher Harris, Samuel Ieong, Aranyak Mehta, Xi Tan |
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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 |
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A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval Sunil Mohan, Nicolas Fiorini, Sun Kim, Zhiyong Lu |
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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 |
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A Short-term Intervention for Long-term Fairness in the Labor Market Lily Hu, Yiling Chen |
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Payam Karisani, Eugene Agichtein |
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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 |
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Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating Eric Malmi, Aristides Gionis, Arno Solin |
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Joint User- and Event- Driven Stable Social Event Organization Xin Wang, Wenwu Zhu, Chun Chen, Martin Ester |
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Incentive-Compatible Diffusion Yakov Babichenko, Oren Dean, Moshe Tennenholtz |
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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 |
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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 |
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