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Conference on Web Search and Data Mining (2019)


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Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

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Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

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Attending to What Matters
Jaime Teevan

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Responsible Data Science
H. V. Jagadish

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Alexa Everywhere: AI for Daily Convenience
Rohit Prasad

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Privacy-Preserving WSDM
Aleksandra Korolova

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Reinforcement Learning to Rank
Maarten de Rijke

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Fast Dictionary-Based Compression for Inverted Indexes
Giulio Ermanno Pibiri | Matthias Petri | Alistair Moffat

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Joint Optimization of Cascade Ranking Models
Luke Gallagher | Ruey-Cheng Chen | Roi Blanco | J. Shane Culpepper

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WassRank: Listwise Document Ranking Using Optimal Transport Theory
Haitao Yu | Adam Jatowt | Hideo Joho | Joemon M. Jose | Xiao Yang | Long Chen

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MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention
Chuhan Wu | Fangzhao Wu | Zhigang Yuan | Junxin Liu | Yongfeng Huang | Xing Xie

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Integrating Local Context and Global Cohesiveness for Open Information Extraction
Qi Zhu | Xiang Ren | Jingbo Shang | Yu Zhang | Ahmed El-Kishky | Jiawei Han

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Knowledge Graph Enhanced Community Detection and Characterization
Shreyansh P. Bhatt | Swati Padhee | Amit P. Sheth | Keke Chen | Valerie L. Shalin | Derek Doran | Brandon S. Minnery

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Representation Interpretation with Spatial Encoding and Multimodal Analytics
Ninghao Liu | Mengnan Du | Xia Hu

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CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions
Ruirui Li | Jyun-Yu Jiang | Chelsea J.-T. Ju | Wei Wang

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Lightweight Lexical and Semantic Evidence for Detecting Classes Among Wikipedia Articles
Marius Pasca | Travis Wolfe

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ExFaKT: A Framework for Explaining Facts over Knowledge Graphs and Text
Mohamed H. Gad-Elrab | Daria Stepanova | Jacopo Urbani | Gerhard Weikum

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Interaction Embeddings for Prediction and Explanation in Knowledge Graphs
Wen Zhang | Bibek Paudel | Wei Zhang | Abraham Bernstein | Huajun Chen

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Knowledge Graph Embedding Based Question Answering
Xiao Huang | Jingyuan Zhang | Dingcheng Li | Ping Li

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Relevance Search over Schema-Rich Knowledge Graphs
Yu Gu | Tianshuo Zhou | Gong Cheng | Ziyang Li | Jeff Z. Pan | Yuzhong Qu

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A State Transition Model for Mobile Notifications via Survival Analysis
Yiping Yuan | Jing Zhang | Shaunak Chatterjee | Shipeng Yu | Rómer Rosales

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Clustered Monotone Transforms for Rating Factorization
Gaurush Hiranandani | Raghav Somani | Oluwasanmi Koyejo | Sreangsu Acharyya

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Sparsemax and Relaxed Wasserstein for Topic Sparsity
Tianyi Lin | Zhiyue Hu | Xin Guo

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RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation
Athanasios N. Nikolakopoulos | George Karypis

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Modeling Temporal Evidence from External Collections
Flávio Martins | João Magalhães | Jamie Callan

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Asynchronous Training of Word Embeddings for Large Text Corpora
Avishek Anand | Megha Khosla | Jaspreet Singh | Jan-Hendrik Zab | Zijian Zhang

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Social Attentional Memory Network: Modeling Aspect- and Friend-Level Differences in Recommendation
Chong Chen | Min Zhang | Yiqun Liu | Shaoping Ma

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Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models
Manzil Zaheer | Amr Ahmed | Yuan Wang | Daniel Silva | Marc Najork | Yuchen Wu | Shibani Sanan | Surojit Chatterjee

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Neural Based Statement Classification for Biased Language
Christoph Hube | Besnik Fetahu

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Enabling Privacy-Preserving Sharing of Genomic Data for GWASs in Decentralized Networks
Yanjun Zhang | Xin Zhao | Xue Li | Mingyang Zhong | Caitlin Curtis | Chen Chen

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Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles
Ghazaleh Beigi | Ruocheng Guo | Alexander Nou | Yanchao Zhang | Huan Liu

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Spiral of Silence in Recommender Systems
Dugang Liu | Chen Lin | Zhilin Zhang | Yanghua Xiao | Hanghang Tong

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Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems
Bashir Rastegarpanah | Krishna P. Gummadi | Mark Crovella

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FAIRY: A Framework for Understanding Relationships Between Users' Actions and their Social Feeds
Azin Ghazimatin | Rishiraj Saha Roy | Gerhard Weikum

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Federated Online Learning to Rank with Evolution Strategies
Eugene Kharitonov

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On the Complexity of Opinions and Online Discussions
Utkarsh Upadhyay | Abir De | Aasish Pappu | Manuel Gomez-Rodriguez

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Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
Chongyang Tao | Wei Wu | Can Xu | Wenpeng Hu | Dongyan Zhao | Rui Yan

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More Than Just Words: Modeling Non-Textual Characteristics of Podcasts
Longqi Yang | Yu Wang | Drew Dunne | Michael Sobolev | Mor Naaman | Deborah Estrin

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Attitude Detection for One-Round Conversation: Jointly Extracting Target-Polarity Pairs
Zhaohao Zeng | Ruihua Song | Pingping Lin | Tetsuya Sakai

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Sampling Methods for Counting Temporal Motifs
Paul Liu | Austin R. Benson | Moses Charikar

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The Local Closure Coefficient: A New Perspective On Network Clustering
Hao Yin | Austin R. Benson | Jure Leskovec

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Beyond News Contents: The Role of Social Context for Fake News Detection
Kai Shu | Suhang Wang | Huan Liu

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All Those Wasted Hours: On Task Abandonment in Crowdsourcing
Lei Han | Kevin Roitero | Ujwal Gadiraju | Cristina Sarasua | Alessandro Checco | Eddy Maddalena | Gianluca Demartini

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CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities
Aditya Chetan | Brihi Joshi | Hridoy Sankar Dutta | Tanmoy Chakraborty

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XBully: Cyberbullying Detection within a Multi-Modal Context
Lu Cheng | Jundong Li | Yasin N. Silva | Deborah L. Hall | Huan Liu

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Homogeneity-Based Transmissive Process to Model True and False News in Social Networks
Jooyeon Kim | Dongkwan Kim | Alice H. Oh

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Interactive Anomaly Detection on Attributed Networks
Kaize Ding | Jundong Li | Huan Liu

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Random Spatial Network Models for Core-Periphery Structure
Junteng Jia | Austin R. Benson

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A General View for Network Embedding as Matrix Factorization
Xin Liu | Tsuyoshi Murata | Kyoung-Sook Kim | Chatchawan Kotarasu | Chenyi Zhuang

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SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Yunsheng Bai | Hao Ding | Song Bian | Ting Chen | Yizhou Sun | Wei Wang

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Co-Embedding Attributed Networks
Zaiqiao Meng | Shangsong Liang | Hongyan Bao | Xiangliang Zhang

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Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce
Rong Xiao | Jianhui Ji | Baoliang Cui | Haihong Tang | Wenwu Ou | Yanghua Xiao | Jiwei Tan | Xuan Ju

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Review-Driven Answer Generation for Product-Related Questions in E-Commerce
Shiqian Chen | Chenliang Li | Feng Ji | Wei Zhou | Haiqing Chen

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Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms
Alois Gruson | Praveen Chandar | Christophe Charbuillet | James McInerney | Samantha Hansen | Damien Tardieu | Ben Carterette

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Product-Aware Answer Generation in E-Commerce Question-Answering
Shen Gao | Zhaochun Ren | Yihong Eric Zhao | Dongyan Zhao | Dawei Yin | Rui Yan

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Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items
Vineeth Rakesh | Suhang Wang | Kai Shu | Huan Liu

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When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments
Rolf Jagerman | Ilya Markov | Maarten de Rijke

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Top-K Off-Policy Correction for a REINFORCE Recommender System
Minmin Chen | Alex Beutel | Paul Covington | Sagar Jain | Francois Belletti | Ed H. Chi

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Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace
Murat Ali Bayir | Mingsen Xu | Yaojia Zhu | Yifan Shi

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Estimating Position Bias without Intrusive Interventions
Aman Agarwal | Ivan Zaitsev | Xuanhui Wang | Cheng Li | Marc Najork | Thorsten Joachims

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Off-Policy Evaluation of Probabilistic Identity Data in Lookalike Modeling
Randell Cotta | Mingyang Hu | Dan Jiang | Peizhou Liao

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A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring
Nianqiao Ju | Diane Hu | Adam Henderson | Liangjie Hong

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How A/B Tests Could Go Wrong: Automatic Diagnosis of Invalid Online Experiments
Nanyu Chen | Min Liu | Ya Xu

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Investment Recommendation System for Low-Liquidity Online Peer to Peer Lending (P2PL) Marketplaces
Ke Ren | Avinash Malik

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Gated Attentive-Autoencoder for Content-Aware Recommendation
Chen Ma | Peng Kang | Bin Wu | Qinglong Wang | Xue Liu

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Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches
Himanshu Jain | Venkatesh Balasubramanian | Bhanu Chunduri | Manik Varma

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Neural Tensor Factorization for Temporal Interaction Learning
Xian Wu | Baoxu Shi | Yuxiao Dong | Chao Huang | Nitesh V. Chawla

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Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory
Tobias Schnabel | Paul N. Bennett | Thorsten Joachims

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Session-Based Social Recommendation via Dynamic Graph Attention Networks
Weiping Song | Zhiping Xiao | Yifan Wang | Laurent Charlin | Ming Zhang | Jian Tang

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Recurrent Recommendation with Local Coherence
Jianling Wang | James Caverlee

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Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation
Jin Huang | Zhaochun Ren | Wayne Xin Zhao | Gaole He | Ji-Rong Wen | Daxiang Dong

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A Simple Convolutional Generative Network for Next Item Recommendation
Fajie Yuan | Alexandros Karatzoglou | Ioannis Arapakis | Joemon M. Jose | Xiangnan He

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Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions
Bjørnar Vassøy | Massimiliano Ruocco | Eliezer de Souza da Silva | Erlend Aune

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Sequential Variational Autoencoders for Collaborative Filtering
Noveen Sachdeva | Giuseppe Manco | Ettore Ritacco | Vikram Pudi

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Learning Personalized Topical Compositions with Item Response Theory
Lu Lin | Lin Gong | Hongning Wang

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Why the World Reads Wikipedia: Beyond English Speakers
Florian Lemmerich | Diego Sáez-Trumper | Robert West | Leila Zia

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Characterizing and Predicting Email Deferral Behavior
Bahareh Sarrafzadeh | Ahmed Hassan Awadallah | Christopher H. Lin | Chia-Jung Lee | Milad Shokouhi | Susan T. Dumais

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Task Duration Estimation
Ryen W. White | Ahmed Hassan Awadallah

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The Influence of Image Search Intents on User Behavior and Satisfaction
Zhijing Wu | Yiqun Liu | Qianfan Zhang | Kailu Wu | Min Zhang | Shaoping Ma

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Neural Demographic Prediction using Search Query
Chuhan Wu | Fangzhao Wu | Junxin Liu | Shaojian He | Yongfeng Huang | Xing Xie

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Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior
Donghyun Kim | Sungchul Kim | Handong Zhao | Sheng Li | Ryan A. Rossi | Eunyee Koh

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Domain Adaptation for Commitment Detection in Email
Hosein Azarbonyad | Robert Sim | Ryen W. White

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Learning to Transform, Combine, and Reason in Open-Domain Question Answering
Mostafa Dehghani | Hosein Azarbonyad | Jaap Kamps | Maarten de Rijke

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SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks
Chuxu Zhang | Ananthram Swami | Nitesh V. Chawla

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Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
Chen Qu | Feng Ji | Minghui Qiu | Liu Yang | Zhiyu Min | Haiqing Chen | Jun Huang | W. Bruce Croft

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Spring-Electrical Models For Link Prediction
Yana Kashinskaya | Egor Samosvat | Akmal Artikov

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Solving the Sparsity Problem in Recommendations via Cross-Domain Item Embedding Based on Co-Clustering
Yaqing Wang | Chunyan Feng | Caili Guo | Yunfei Chu | Jenq-Neng Hwang

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Discovering Correlations between Sparse Features in Distant Supervision for Relation Extraction
Jianfeng Qu | Dantong Ouyang | Wen Hua | Yuxin Ye | Xiaofang Zhou

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Across-Time Comparative Summarization of News Articles
Yijun Duan | Adam Jatowt

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Crosslingual Document Embedding as Reduced-Rank Ridge Regression
Martin Josifoski | Ivan S. Paskov | Hristo S. Paskov | Martin Jaggi | Robert West

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CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling
Felipe Viegas | Sérgio D. Canuto | Christian Gomes | Washington Luiz | Thierson Rosa | Sabir Ribas | Leonardo Rocha | Marcos André Gonçalves

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ATAR: Aspect-Based Temporal Analog Retrieval System for Document Archives
Yating Zhang | Adam Jatowt | Sourav S. Bhowmick | Yuji Matsumoto

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clstk: The Cross-Lingual Summarization Tool-Kit
Nisarg Jhaveri | Manish Gupta | Vasudeva Varma

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EXS: Explainable Search Using Local Model Agnostic Interpretability
Jaspreet Singh | Avishek Anand

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FaceOff: Assisting the Manifestation Design of Web Graphical User Interface
Shuyu Zheng | Ziniu Hu | Yun Ma

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Intelligent Traffic Analytics: From Monitoring to Controlling
Sheng Wang | Yunzhuang Shen | Zhifeng Bao | Xiaolin Qin

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Interactive Visualization of Urban Areas of Interest: A Parameter-Free and Efficient Footprint Method
Mingzhao Li | Zhifeng Bao | Farhana Murtaza Choudhury | Timos Sellis

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Pleasant Route Suggestion based on Color and Object Rates
Shoko Wakamiya | Panote Siriaraya | Yihong Zhang | Yukiko Kawai | Eiji Aramaki | Adam Jatowt

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NAIRS: A Neural Attentive Interpretable Recommendation System
Shuai Yu | Yongbo Wang | Min Yang | Baocheng Li | Qiang Qu | Jialie Shen

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Structured Search in Annotated Document Collections
Dhruv Gupta | Klaus Berberich

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TopExNet: Entity-Centric Network Topic Exploration in News Streams
Andreas Spitz | Satya Almasian | Michael Gertz

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VisCrime: A Crime Visualisation System for Crime Trajectory from Multi-Dimensional Sources
Ahsan Morshed | Pei-Wei Tsai | Prem Prakash Jayaraman | Timos Sellis | Dimitrios Georgakopoulos | Sam Burke | Shane Joachim | Ming-Sheng Quah | Stefan Tsvetkov | Jason Liew | Corey Jenkins

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Visualizing Graph Differences from Social Media Streams
Minjeong Shin | Dongwoo Kim | Jae Hee Lee | Umanga Bista | Lexing Xie

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Bridging Models for Popularity Prediction on Social Media
Swapnil Mishra

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Comparative Summarisation of Rich Media Collections
Umanga Bista

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Designing the Cogno-Web Observatory: To Characterize the Dynamics of Online Social Cognition
Raksha Pavagada Subbanarasimha

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How is Attention Allocated?: Data-Driven Studies of Popularity and Engagement in Online Videos
Siqi Wu

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Linking Epidemic Models and Hawkes Point Processes for Modeling Information Diffusion
Quyu Kong

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Listwise vs Pagewise: Towards Better Ranking Strategies for Heterogeneous Search Results
Junqi Zhang

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Overlapping Community Detection in Static and Dynamic Social Networks
Renny Márquez | Richard Weber

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Preference Elicitation Strategy for Conversational Recommender System
Bilih Priyogi

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User Behavior Modeling for Web Image Search
Xiaohui Xie

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Causal Inference and Counterfactual Reasoning (3hr Tutorial)
Emre Kiciman | Amit Sharma

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Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-On Tutorial
Tetsuya Sakai

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Deep Learning for Matching in Search and Recommendation
Jun Xu | Xiangnan He | Hang Li

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Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned
Sarah Bird | Krishnaram Kenthapadi | Emre Kiciman | Margaret Mitchell

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Fake News: Fundamental Theories, Detection Strategies and Challenges
Xinyi Zhou | Reza Zafarani | Kai Shu | Huan Liu

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WSDM 2019 Tutorial on Health Search (HS2019): A Full-Day from Consumers to Clinicians
Bevan Koopman | Guido Zuccon

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Privacy-preserving Data Mining in Industry
Krishnaram Kenthapadi | Ilya Mironov | Abhradeep Guha Thakurta

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The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA)
Xiangmin Zhou | Ji Zhang | Yanchun Zhang

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DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications
Yixing Fan | Qingyao Ai | Zhaochun Ren | Liangjie Hong | Dawei Yin | Jiafeng Guo

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IDM-WSDM 2019: Workshop on Interactive Data Mining
Alan Said | Denis Parra | Juhee Bae | Sepideh Pashami

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Task Intelligence Workshop @ WSDM 2019
Ahmed Hassan Awadallah | Cathal Gurrin | Mark Sanderson | Ryen W. White


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Proceedings of the Workshop on Interactive Data Mining, IDM@WSDM 2019, Melbourne, VIC, Australia, February 15, 2019

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Proceedings of the Workshop on Interactive Data Mining, IDM@WSDM 2019, Melbourne, VIC, Australia, February 15, 2019

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Smart Farm: A System for Proactive Management of Raw Milk Quality
Atefe Zakeri | Morteza Saberi | Saeed Aboutalebi | Omar Khadeer Hussain | Elizabeth Chang

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Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity
Anders Holst | Juhee Bae | Alexander Karlsson | Mohamed-Rafik Bouguelia

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Incremental Causal Discovery and Visualization
Anders Holst | Sepideh Pashami | Juhee Bae

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Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain
Parivash Pirasteh | Slawomir Nowaczyk | Sepideh Pashami | Magnus Löwenadler | Klas Thunberg | Henrik Ydreskog | Peter Berck

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Interactive-COSMO: Consensus Self-Organized Models for Fault Detection with Expert Feedback
Ece Calikus | Yuantao Fan | Slawomir Nowaczyk | Anita Pinheiro Sant'Anna