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Conference on Web Search and Data Mining (2020)


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WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

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WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

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From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation
Ed H. Chi

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Computer Vision for Fashion: From Individual Recommendations to World-wide Trends
Kristen Grauman

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Veridical Data Science
Bin Yu

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Can Deep Learning Only Be Neural Networks?
Zhi-Hua Zhou

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Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms
Aman Ahuja | Nikhil Rao | Sumeet Katariya | Karthik Subbian | Chandan K. Reddy

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Recurrent Attention Walk for Semi-supervised Classification
Uchenna Akujuobi | Qiannan Zhang | Han Yufei | Xiangliang Zhang

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Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding
Sambaran Bandyopadhyay | Lokesh N | Saley Vishal Vivek | M. Narasimha Murty

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Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
Ghazaleh Beigi | Ahmadreza Mosallanezhad | Ruocheng Guo | Hamidreza Alvari | Alexander Nou | Huan Liu

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LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding
Ayan Kumar Bhowmick | Koushik Meneni | Maximilien Danisch | Jean-Loup Guillaume | Bivas Mitra

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Comparative Web Search Questions
Alexander Bondarenko | Pavel Braslavski | Michael Völske | Rami Aly | Maik Fröbe | Alexander Panchenko | Chris Biemann | Benno Stein | Matthias Hagen

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A Stochastic Treatment of Learning to Rank Scoring Functions
Sebastian Bruch | Shuguang Han | Michael Bendersky | Marc Najork

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Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao | Huawei Shen | Jinhua Gao | Bingzheng Wei | Xueqi Cheng

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Why Do People Buy Seemingly Irrelevant Items in Voice Product Search?: On the Relation between Product Relevance and Customer Satisfaction in eCommerce
David Carmel | Elad Haramaty | Arnon Lazerson | Liane Lewin-Eytan | Yoelle Maarek

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A Context-Aware Click Model for Web Search
Jia Chen | Jiaxin Mao | Yiqun Liu | Min Zhang | Shaoping Ma

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Parameter Tuning in Personal Search Systems
Suming J. Chen | Xuanhui Wang | Zhen Qin | Donald Metzler

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Context-aware Deep Model for Joint Mobility and Time Prediction
Yile Chen | Cheng Long | Gao Cong | Chenliang Li

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Analyzing the Impact of Filter Bubbles on Social Network Polarization
Uthsav Chitra | Christopher Musco

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ENTYFI: Entity Typing in Fictional Texts
Cuong Xuan Chu | Simon Razniewski | Gerhard Weikum

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Joint Recognition of Names and Publications in Academic Homepages
Yimeng Dai | Jianzhong Qi | Rui Zhang

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Can A User Guess What Her Followers Want?
Abir De | Adish Singla | Utkarsh Upadhyay | Manuel Gomez-Rodriguez

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Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
Shumin Deng | Ningyu Zhang | Jiaojian Kang | Yichi Zhang | Wei Zhang | Huajun Chen

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Epidemic Graph Convolutional Network
Tyler Derr | Yao Ma | Wenqi Fan | Xiaorui Liu | Charu C. Aggarwal | Jiliang Tang

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All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs
Negin Entezari | Saba A. Al-Sayouri | Amirali Darvishzadeh | Evangelos E. Papalexakis

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Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations
Oluwaseyi Feyisetan | Borja Balle | Thomas Drake | Tom Diethe

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Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering
Jinlan Fu | Yi Li | Qi Zhang | Qinzhuo Wu | Renfeng Ma | Xuanjing Huang | Yu-Gang Jiang

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PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
Azin Ghazimatin | Oana Balalau | Rishiraj Saha Roy | Gerhard Weikum

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JNET: Learning User Representations via Joint Network Embedding and Topic Embedding
Lin Gong | Lu Lin | Weihao Song | Hongning Wang

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TSA: A Truthful Mechanism for Social Advertising
Tobias Grubenmann | Reynold C. K. Cheng | Laks V. S. Lakshmanan

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Hierarchical User Profiling for E-commerce Recommender Systems
Yulong Gu | Zhuoye Ding | Shuaiqiang Wang | Dawei Yin

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Learning Individual Causal Effects from Networked Observational Data
Ruocheng Guo | Jundong Li | Huan Liu

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Crowd Worker Strategies in Relevance Judgment Tasks
Lei Han | Eddy Maddalena | Alessandro Checco | Cristina Sarasua | Ujwal Gadiraju | Kevin Roitero | Gianluca Demartini

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Consistency-Aware Recommendation for User-Generated Item List Continuation
Yun He | Yin Zhang | Weiwen Liu | James Caverlee

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Debiasing Word Embeddings from Sentiment Associations in Names
Christoph Hube | Maximilian Idahl | Besnik Fetahu

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The Power of Pivoting for Exact Clique Counting
Shweta Jain | C. Seshadhri

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Ultra Fine-Grained Image Semantic Embedding
Da-Cheng Juan | Chun-Ta Lu | Zhen Li | Futang Peng | Aleksei Timofeev | Yi-Ting Chen | Yaxi Gao | Tom Duerig | Andrew Tomkins | Sujith Ravi

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Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models
Quyu Kong | Marian-Andrei Rizoiu | Lexing Xie

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Retrieving Top Weighted Triangles in Graphs
Raunak Kumar | Paul Liu | Moses Charikar | Austin R. Benson

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Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems
Wenqiang Lei | Xiangnan He | Yisong Miao | Qingyun Wu | Richang Hong | Min-Yen Kan | Tat-Seng Chua

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Interpretable Click-Through Rate Prediction through Hierarchical Attention
Zeyu Li | Wei Cheng | Yang Chen | Haifeng Chen | Wei Wang

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Time Interval Aware Self-Attention for Sequential Recommendation
Jiacheng Li | Yujie Wang | Julian J. McAuley

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DDTCDR: Deep Dual Transfer Cross Domain Recommendation
Pan Li | Alexander Tuzhilin

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Automatic Speaker Recognition with Limited Data
Ruirui Li | Jyun-Yu Jiang | Jiahao Liu Li | Chu-Cheng Hsieh | Wei Wang

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Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks
Ruirui Li | Xian Wu | Wei Wang

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Incremental Filter Pruning via Random Walk for Accelerating Deep Convolutional Neural Networks
Qinghua Li | Cuiping Li | Hong Chen

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Initialization for Network Embedding: A Graph Partition Approach
Wenqing Lin | Feng He | Faqiang Zhang | Xu Cheng | Hongyun Cai

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Balanced Influence Maximization in Attributed Social Network Based on Sampling
Mingkai Lin | Wenzhong Li | Sanglu Lu

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End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding
Feng Liu | Huifeng Guo | Xutao Li | Ruiming Tang | Yunming Ye | Xiuqiang He

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Deep Multi-Graph Clustering via Attentive Cross-Graph Association
Dongsheng Luo | Jingchao Ni | Suhang Wang | Yuchen Bian | Xiong Yu | Xiang Zhang

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Jointly Optimized Neural Coreference Resolution with Mutual Attention
Jie Ma | Jun Liu | Yufei Li | Xin Hu | Yudai Pan | Shen Sun | Qika Lin

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Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification
Qianwen Ma | Chunyuan Yuan | Wei Zhou | Jizhong Han | Songlin Hu

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MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph
Xin Mao | Wenting Wang | Huimin Xu | Man Lan | Yuanbin Wu

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Separate and Attend in Personal Email Search
Yu Meng | Maryam Karimzadehgan | Honglei Zhuang | Donald Metzler

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Predicting Human Mobility via Attentive Convolutional Network
Congcong Miao | Ziyan Luo | Fengzhu Zeng | Jilong Wang

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Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKE
Noujan Pashanasangi | C. Seshadhri

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Extreme Regression for Dynamic Search Advertising
Yashoteja Prabhu | Aditya Kusupati | Nilesh Gupta | Manik Varma

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Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
Jiarui Qin | Kan Ren | Yuchen Fang | Weinan Zhang | Yong Yu

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Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision
Yunqi Qiu | Yuanzhuo Wang | Xiaolong Jin | Kun Zhang

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A Structural Graph Representation Learning Framework
Ryan A. Rossi | Nesreen K. Ahmed | Eunyee Koh | Sungchul Kim | Anup Rao | Yasin Abbasi-Yadkori

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Toward Activity Discovery in the Personal Web
Tara Safavi | Adam Fourney | Robert Sim | Marcin Juraszek | Shane Williams | Ned Friend | Danai Koutra | Paul N. Bennett

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Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
Yuta Saito | Suguru Yaginuma | Yuta Nishino | Hayato Sakata | Kazuhide Nakata

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Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Aravind Sankar | Xinyang Zhang | Adit Krishnan | Jiawei Han

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DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
Aravind Sankar | Yanhong Wu | Liang Gou | Wei Zhang | Hao Yang

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RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Ilya Shenbin | Anton Alekseev | Elena Tutubalina | Valentin Malykh | Sergey I. Nikolenko

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Text Recognition Using Anonymous CAPTCHA Answers
Alexander Shishkin | Anastasia A. Bezzubtseva | Valentina Fedorova | Alexey Drutsa | Gleb Gusev

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Ad Close Mitigation for Improved User Experience in Native Advertisements
Natalia Silberstein | Oren Somekh | Yair Koren | Michal Aharon | Dror Porat | Avi Shahar | Tingyi Wu

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ADMM SLIM: Sparse Recommendations for Many Users
Harald Steck | Maria Dimakopoulou | Nickolai Riabov | Tony Jebara

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Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension
Lixin Su | Jiafeng Guo | Yixing Fan | Yanyan Lan | Xueqi Cheng

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Influence Maximization with Spontaneous User Adoption
Lichao Sun | Albert Chen | Philip S. Yu | Wei Chen

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LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation
Changfeng Sun | Han Liu | Meng Liu | Zhaochun Ren | Tian Gan | Liqiang Nie

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Fast Item Ranking under Neural Network based Measures
Shulong Tan | Zhixin Zhou | Zhaozhuo Xu | Ping Li

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Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang | Yandong Li | Yiwei Sun | Huaxiu Yao | Prasenjit Mitra | Suhang Wang

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HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran | Yi Tay | Shuai Zhang | Gao Cong | Xiaoli Li

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Addressing Marketing Bias in Product Recommendations
Mengting Wan | Jianmo Ni | Rishabh Misra | Julian J. McAuley

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User Recommendation in Content Curation Platforms
Jianling Wang | Ziwei Zhu | James Caverlee

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Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion
Jianling Wang | Kaize Ding | Ziwei Zhu | Yin Zhang | James Caverlee

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Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce
Jianling Wang | Raphael Louca | Diane Hu | Caitlin Cellier | James Caverlee | Liangjie Hong

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Metrics, User Models, and Satisfaction
Alfan Farizki Wicaksono | Alistair Moffat

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PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems
Zhiyong Wu | Ben Kao | Tien-Hsuan Wu | Pengcheng Yin | Qun Liu

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Product Knowledge Graph Embedding for E-commerce
Da Xu | Chuanwei Ruan | Evren Körpeoglu | Sushant Kumar | Kannan Achan

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Knowledge-aware Complementary Product Representation Learning
Da Xu | Chuanwei Ruan | Jason Cho | Evren Körpeoglu | Sushant Kumar | Kannan Achan

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Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Ze Yang | Linjun Shou | Ming Gong | Wutao Lin | Daxin Jiang

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Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders
Carl Yang | Jieyu Zhang | Haonan Wang | Sha Li | Myungwan Kim | Matt Walker | Yiou Xiao | Jiawei Han

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Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference
Jaemin Yoo | U Kang | Mauro Scanagatta | Giorgio Corani | Marco Zaffalon

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Learning a Joint Search and Recommendation Model from User-Item Interactions
Hamed Zamani | W. Bruce Croft

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Nearly Linear Time Algorithm for Mean Hitting Times of Random Walks on a Graph
Zuobai Zhang | Wanyue Xu | Zhongzhi Zhang

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Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
Yuan Zhang | Xiaoran Xu | Hanning Zhou | Yan Zhang

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AutoBlock: A Hands-off Blocking Framework for Entity Matching
Wei Zhang | Hao Wei | Bunyamin Sisman | Xin Luna Dong | Christos Faloutsos | David Page

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Temporal Context-Aware Representation Learning for Question Routing
Xuchao Zhang | Wei Cheng | Bo Zong | Yuncong Chen | Jianwu Xu | Ding Li | Haifeng Chen

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Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations
Xing Zhao | Ziwei Zhu | Yin Zhang | James Caverlee

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Investigating Examination Behavior in Mobile Search
Yukun Zheng | Jiaxin Mao | Yiqun Liu | Mark Sanderson | Min Zhang | Shaoping Ma

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GREASE: A Generative Model for Relevance Search over Knowledge Graphs
Tianshuo Zhou | Ziyang Li | Gong Cheng | Jun Wang | Yuang Wei

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Enhancing Re-finding Behavior with External Memories for Personalized Search
Yujia Zhou | Zhicheng Dou | Ji-Rong Wen

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Listwise Learning to Rank by Exploring Unique Ratings
Xiaofeng Zhu | Diego Klabjan

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Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation
Nengjun Zhu | Jian Cao | Yanchi Liu | Yang Yang | Haochao Ying | Hui Xiong

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Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation
Lixin Zou | Long Xia | Pan Du | Zhuo Zhang | Ting Bai | Weidong Liu | Jian-Yun Nie | Dawei Yin

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personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks
Amin Beheshti | Vahid Moraveji Hashemi | Shahpar Yakhchi | Hamid Reza Motahari-Nezhad | Seyed Mohssen Ghafari | Jian Yang

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FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages
Ankush Chatterjee | Manish Gupta | Puneet Agrawal

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Entities with Quantities: Extraction, Search, and Ranking
Vinh Thinh Ho | Koninika Pal | Niko Kleer | Klaus Berberich | Gerhard Weikum

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WebShapes: Network Visualization with 3D Shapes
Shengmin Jin | Richard Wituszynski | Max Caiello-Gingold | Reza Zafarani

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Athena: A Ranking Enabled Scholarly Search System
Junfeng Liu | Shuai Ma | Renjun Hu | Chunming Hu | Jinpeng Huai

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OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline
Sean MacAvaney

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Illustrate Your Story: Enriching Text with Images
Sreyasi Nag Chowdhury | William Cheng | Gerard de Melo | Simon Razniewski | Gerhard Weikum

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SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports
Armineh Nourbakhsh | Mohammad M. Ghassemi | Steven Pomerville

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VISION-KG: Topic-centric Visualization System for Summarizing Knowledge Graph
Jiaqi Wei | Shuo Han | Lei Zou

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Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval
Andrew Yates | Siddhant Arora | Xinyu Zhang | Wei Yang | Kevin Martin Jose | Jimmy Lin

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Deep Bayesian Data Mining
Jen-Tzung Chien

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Adversarial Machine Learning in Recommender Systems (AML-RecSys)
Yashar Deldjoo | Tommaso Di Noia | Felice Antonio Merra

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Practice of Efficient Data Collection via Crowdsourcing: Aggregation, Incremental Relabelling, and Pricing
Alexey Drutsa | Valentina Fedorova | Dmitry Ustalov | Olga Megorskaya | Evfrosiniya Zerminova | Daria Baidakova

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Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments
Somit Gupta | Xiaolin Shi | Pavel A. Dmitriev | Xin Fu | Avijit Mukherjee

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Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means
Boris Kovalerchuk

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Learning with Small Data
Zhenhui Li | Huaxiu Yao | Fenglong Ma

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Web-scale Knowledge Collection
Colin Lockard | Prashant Shiralkar | Xin Luna Dong | Hannaneh Hajishirzi

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Learning and Reasoning on Graph for Recommendation
Xiang Wang | Xiangnan He | Tat-Seng Chua

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Deep Learning for Anomaly Detection
Ruoying Wang | Kexin Nie | Tie Wang | Yang Yang | Bo Long

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ConvERSe'20: The WSDM 2020 Workshop on Conversational Systems for E-Commerce Recommendations and Search
Eugene Agichtein | Dilek Hakkani-Tür | Surya Kallumadi | Shervin Malmasi

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SUM'20: State-based User Modelling
Sahan Bulathwela | María Pérez-Ortiz | Rishabh Mehrotra | Davor Orlic | Colin de la Higuera | John Shawe-Taylor | Emine Yilmaz

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Overview of the Health Search and Data Mining (HSDM 2020) Workshop
Carsten Eickhoff | Yubin Kim | Ryen W. White

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Workshop on Privacy in NLP (PrivateNLP 2020)
Oluwaseyi Feyisetan | Sepideh Ghanavati | Patricia Thaine

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Integrity 2020: Integrity in Social Networks and Media
Lluis Garcia Pueyo | Anand Bhaskar | Panayiotis Tsaparas | Aristides Gionis | Tina Eliassi-Rad | Maria Daltayanni | Yu Sun | Panagiotis Papadimitriou

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NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations
Pengjie Ren | Zhaochun Ren | Fei Sun | Xiangnan He | Dawei Yin | Maarten de Rijke

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Impact of Online Job Search and Job Reviews on Job Decision
Faiz Ahamad

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User Intent Inference for Web Search and Conversational Agents
Ali Ahmadvand

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Temporal Pattern of Retweet(s) Help to Maximize Information Diffusion in Twitter
Ayan Kumar Bhowmick

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Beyond Sessions: Exploiting Hybrid Contextual Information for Web Search
Jia Chen

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Network Analysis with Negative Links
Tyler Derr

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Decision Boundary of Deep Neural Networks: Challenges and Opportunities
Hamid Karimi | Jiliang Tang

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Think like a Human: Constructing Cognitive-oriented Retrieval Model for Web Search
Xiangsheng Li

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Hybrid Utility Function for Unexpected Recommendations
Pan Li

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Overlapping Community Detection in Static and Dynamic Networks
Renny Márquez

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Learning from Heterogeneous Networks: Methods and Applications
Chuxu Zhang


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Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, co-located with the 13th ACM International WSDM Conference, HSDM@WSDM 2020, Houston, TX, USA, February 3, 2020

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Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, co-located with the 13th ACM International WSDM Conference, HSDM@WSDM 2020, Houston, TX, USA, February 3, 2020

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Machine Learning for Healthcare: Beyond i.i.d. Prediction
Zachary Lipton

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Applying Information Retrieval to the Electronic Health Record for Cohort Discovery and Rare Disease Detection
William R. Hersh

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Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Jan Trienes | Dolf Trieschnigg | Christin Seifert | Djoerd Hiemstra

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Healthcare NER Models Using Language Model Pretraining
Amogh Kamat Tarcar | Aashis Tiwari | Dattaraj Rao | Vineet Naique Dhaimodker | Penjo Rebelo | Rahul Desai

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Lung Nodule Classification Using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM)
Soumya Suvra Ghosal | Indranil Sarkar | Issmail El Hallaoui

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A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data
Steve Chamberlin | Steven Bedrick | Aaron M. Cohen | Yanshan Wang | Andrew Wen | Sijia Liu | Hongfang Liu | William R. Hersh

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Streaming Gait Assessment for Parkinson's Disease
Cristopher Flagg | Ophir Frieder | Sean MacAvaney | Gholam Motamedi

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Clustering Large-scale Diverse Electronic Medical Records to Aid Annotation for Generic Named Entity Recognition
Nithin Haridas | Yubin Kim


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Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020

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Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020

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Preserving Privacy in Analyses of Textual Data
Tom Diethe | Oluwaseyi Feyisetan

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Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
Patricia Thaine | Gerald Penn

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Calibrating Mechanisms for Privacy Preserving Text Analysis
Oluwaseyi Feyisetan | Borja Balle | Tom Diethe | Thomas Drake

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Privacy-Aware Personalized Entity Representations for Improved User Understanding
Levi Melnick | Hussein Elmessilhy | Vassilis Polychronopoulos | Gilsinia Lopez | Yuancheng Tu | Omar Zia Khan | Ye-Yi Wang | Chris Quirk

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A User-Centric and Sentiment Aware Privacy-Disclosure Detection Framework based on Multi-input Neural Network
A. K. M. Nuhil Mehdy | Hoda Mehrpouyan

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Classification of Encrypted Word Embeddings using Recurrent Neural Networks
Robert Podschwadt | Daniel Takabi

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Is It Possible to Preserve Privacy in the Age of AI?
Vijayanta Jain | Sepideh Ghanavati

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Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
Patricia Thaine | Gerald Penn

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Hyperbolic Embeddings for Preserving Privacy and Utility in Text
Oluwaseyi Feyisetan | Tom Diethe | Thomas Drake

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Privacy-Preserving Textual Analysis via Calibrated Perturbations
Oluwaseyi Feyisetan | Borja Balle