Accepted Research Papers

A Context-Aware Click Model for Web Search

Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma (Tsinghua University, China).

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction

Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han (University of Illinois at Urbana-Champaign, United States).

A Stochastic Treatment of Learning to Rank Scoring Functions

Sebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork (Google Research, United States).

A structural graph representation learning framework

Ryan Rossi (Adobe Research, United States); Nesreen Ahmed (Intel, United States); Eunyee Koh, Sungchul Kim, Anup Rao (Adobe Research, United States); Yasin Abbasi-Yadkori (VinAI, Vietnam).

Ad Close Mitigation for Improved User Experience in Native Advertisements

Natalia Silberstein, Oren Somekh, Yair Koren, Michal Aharon (Yahoo Research, Israel); Dror Porat, Avi Shahar (Verizon Media Native Ad Platform, Israel); Tingyi Wu (Verizon Media Native Ad Platform, United States).

Addressing Marketing Bias in Product Recommendations

Mengting Wan, Jianmo Ni (University of California San Diego, United States); Rishabh Misra (Twitter, United States); Julian McAuley (University of California San Diego, United States).

ADMM SLIM: Sparse Recommendations for Many Users

Harald Steck, Maria Dimakopoulou, Nickolai Riabov (Netflix, United States); Tony Jebara (Spotify & Columbia University, United States).

Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks

Ruirui Li (University of California Los Angeles, United States); Xian Wu (University of Notre Dame, United States); Wei Wang (University of California Los Angeles, United States).

All You Need is Low (Rank): Defending Against Adversarial Attacks on Graphs

Negin Entezari (University of California Riverside, United States); Saba Al-Sayouri (State University of New York at Binghamton, United States); Amirali Darvishzadeh, Evangelos Papalexakis (University of California Riverside, United States).

Analyzing the Impact of Filter Bubbles on Social Network Polarization

Uthsav Chitra, Christopher Musco (New York University, United States).

AutoBlock: A Hands-off Blocking Framework for Entity Matching

Wei Zhang (University of Wisconsin-Madison, United States); Hao Wei, Bunyamin Sisman, Xin Luna Dong (Amazon Inc., United States); Christos Faloutsos (Carnegie Mellon University, United States); David Page (Duke University, United States).

Automatic Speaker Recognition with Limited Data

Ruirui Li, Jyun-Yu Jiang (University of California Los Angeles, United States); Jiahao Liu (Tongji University, China); Chu-Cheng Hsieh (Amazon, United States); Wei Wang (University of California Los Angeles, United States).

Balanced Influence Maximization in Attributed Social Network Based on Sampling

Mingkai Lin, Wenzhong Li, Sanglu Lu (Nanjing University, China).

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 (University of Chinese Academy of Sciences, China).

Can A User Guess What Her Followers Want?

Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez Rodriguez (MPI-SWS, Germany).

Comparative Web Search Questions

Alexander Bondarenko (Martin-Luther-Universität Halle-Wittenberg, Germany); Pavel Braslavski (Ural Federal University, Russia); Michael Völske (Bauhaus-University Weimar, Germany); Rami Aly (University of Cambridge, United Kingdom); Maik Fröbe (Martin-Luther-Universität Halle-Wittenberg, Germany); Alexander Panchenko (Skoltech, Russia); Chris Biemann (University of Hamburg, Germany); Benno Stein (Bauhaus-University Weimar, Germany); Matthias Hagen (Martin-Luther-Universität Halle-Wittenberg, Germany).

Consistency-Aware Recommendation for User-Generated Item List Continuation

Yun He, Yin Zhang (Texas A&M University, United States); Weiwen Liu (The Chinese University of Hong Kong); James Caverlee (Texas A&M University, United States).

Context-aware Deep Model for Joint Mobility and Time Prediction

Yile Chen, Cheng Long, Gao Cong (Nanyang Technological University, Singapore); Chenliang Li (Wuhan University, China).

Crowd Worker Strategies in Relevance Judgment Tasks

Lei Han (The University of Queensland, Australia); Eddy Maddalena (University of Southampton, United Kingdom); Alessandro Checco (The University of Sheffield, United Kingdom); Cristina Sarasua (University of Zurich, Switzerland); Ujwal Gadiraju (L3S Research Center, Germany); Kevin Roitero (University of Udine, Italy); Gianluca Demartini (The University of Queensland, Australia).

DDTCDR: Deep Dual Transfer Cross Domain Recommendation

Pan Li, Alexander Tuzhilin (New York University, United States).

Debiasing Word Embeddings from Sentiment Associations in Names

Christoph Hube, Maximilian Idahl, Besnik Fetahu (Leibniz University of Hannover, Germany).

Deep Multi-Graph Clustering via Attentive Cross-Graph Association

Dongsheng Luo (The Pennsylvania State University, United States); Jingchao Ni (NEC Laboratories America, United States); Suhang Wang, Yuchen Bian (The Pennsylvania State University, United States); Xiong Yu (Case Western Reserve University, United States); Xiang Zhang (The Pennsylvania State University, United States).

DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks

Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang (Visa Research, United States).

Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation

Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang (Peking University, China).

Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKE

Noujan Pashanasangi, C. Seshadhri (University of California Santa Cruz, United States).

End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding

Feng Liu (Harbin Institute of Technology, China); Huifeng Guo (Huawei, China); Xutao Li (Harbin Institute of Technology, China); Ruiming Tang (Huawei, China); Yunming Ye (Harbin Institute of Technology, China); Xiuqiang He (Huawei, China).

Enhancing Re-finding Behavior with External Memories for Personalized Search

Yujia Zhou, Zhicheng Dou (Renmin University of China, China); Jirong Wen (Beijing Key Laboratory of Big Data Management & Analysis Methods and Key Laboratory of Data Engineering & Knowledge Engineering, China).

ENTYFI: Entity Typing in Fictional Texts

Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum (Max Planck Institute for Informatics, Germany).

Epidemic Graph Convolutional Network

Tyler Derr, Yao Ma (Michigan State University, United States); Wenqi Fan (City University of Hong Kong), Xiaorui Liu (Michigan State University, United States); Charu Aggarwal (IBM, United States); Jiliang Tang (Michigan State University, United States).

Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

Wenqiang Lei (National University of Singapore, Singapore); Xiangnan He (University of Science and Technology of China, China); Yisong Miao (National University of Singapore, Singapore); Qingyun Wu (University of virginia, United States); Richang Hong (Hefei University of Technology, China); Min-Yen Kan, Tat Seng Chua (National University of Singapore, Singapore).

Extreme Regression for Dynamic Search Advertising

Yashoteja Prabhu (Microsoft, India); Aditya Kusupati (University of Washington, United States); Nilesh Gupta, Manik Varma (Microsoft, India).

Fast Item Ranking under Neural Network based Measures

Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li (Baidu Research, United States).

GREASE: A Generative Model for Relevance Search over Knowledge Graphs

Tianshuo Zhou, Ziyang Li, Gong Cheng (Nanjing university, China); Jun Wang (University College London, United Kingdom); Yu'Ang Wei (Nanjing university, China).

Hierarchical User Profiling for E-commerce Recommender Systems

Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin (JD.COM, China).

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

Lucas Vinh Tran, Yi Tay (Nanyang Technological University, Singapore); Shuai Zhang (The University of New South Wales, Australia); Gao Cong (Nanyang Technological University, Singapore); Xiaoli Li (Institute for Infocomm Research, Singapore).

Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations

Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee (Texas A&M University, United States).

Incremental Filter Pruning via Random Walk for Accelerating Deep Convolutional Neural Networks

Qinghua Li, Cuiping Li, Hong Chen (Renmin University of China, China).

Influence Maximization with Spontaneous User Adoption

Lichao Sun (University of Illinois at Chicago, United States); Albert Chen (LinkedIn, United States); Philip Yu (University of Illinois at Chicago, United States); Wei Chen (Microsoft, China).

Initialization for Network Embedding: A Graph Partition Approach

Wenqing Lin, Feng He, Faqiang Zhang, Xu Cheng, Hongyun Cai (Tencent, China).

Interpretable Click-Through Rate Prediction through Hierarchical Attention

Zeyu Li (University of California Los Angeles, United States); Wei Cheng (NEC Laboratories America, United States); Yang Chen (Google, United States); Haifeng Chen (NEC Laboratories America, United States); Wei Wang (University of California Los Angeles, United States).

Investigating Examination Behavior in Mobile Search

Yukun Zheng, Yiqun Liu, Jiaxin Mao (Tsinghua University, China); Mark Sanderson (RMIT University, Australia); Min Zhang, Shaoping Ma (Tsinghua University, China).

JNET: Learning User Representations via Joint Network Embedding and Topic Embedding

Lin Gong, Lu Lin, Weihao Song, Hongning Wang (University of Virginia, United States).

Joint Recognition of Names and Publications in Academic Homepages

Yimeng Dai, Jianzhong Qi, Rui Zhang. (The University of Melbourne, Australia).

Jointly Optimized Neural Coreference Resolution with Mutual Attention

Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin (Xi'an Jiaotong University, China).

Key Opinon Leaders in Recommendation Systems: Opinion Elicitation and Diffusion

Jianling Wang (Texas A&M University, United States); Kaize Ding (Arizona State University, United States); Ziwei Zhu, Yin Zhang, James Caverlee (Texas A&M University, United States).

Knowledge-aware Complementary Product Representation Learning

Da Xu, Chuanwei Ruan, Jason Cho, Evren Korpeoglu, Sushant Kumar, Kannan Achan (Walmart Labs, United States).

Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension

Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng (Chinese Academy of Sciences, China).

Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms

Aman Ahuja (Virginia Tech, United States); Nikhil Rao, Sumeet Katariya, Karthik Subbian (Amazon, United States); Chandan K. Reddy (Virginia Tech, United States).

LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation

Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie (Shandong University, China).

Learning a Joint Search and Recommendation Model from User-Item Interactions

Hamed Zamani, Bruce Croft (University of Massachusetts Amherst, United States).

Learning Individual Causal Effects from Networked Observational Data

Ruocheng Guo (Arizona State University, United States); Jundong Li (University of Virginia, United States); Huan Liu (Arizona State University, United States).

Listwise Learning to Rank by Exploring Unique Ratings

Xiaofeng Zhu, Diego Klabjan (Northwestern University, United States).

LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Graph Embedding

Ayan Kumar Bhowmick, Koushik Meneni (Indian Institute of Technology, India); Jean-Loup Guillaume (University of La Rochelle, France); Maximilien Danisch (Sorbonne University, France); Bivas Mitra (Indian Institute of Technology, India).

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection

Shumin Deng (Zhejiang University, China); Ningyu Zhang (Alibaba Group, China); Jiaojian Kang, Yichi Zhang, Wei Zhang (Alibaba Group, China); Huajun Chen (Zhejiang University, China).

Metrics, User Models, and Satisfaction

Alfan Farizki Wicaksono, Alistair Moffat (The University of Melbourne, Australia).

Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System

Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang (Microsoft, China).

Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models

Quyu Kong (The Australian National University, Australia); Marian-Andrei Rizoiu (University of Technology Sydney, Australia); Lexing Xie (The Australian National University, Australia).

MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph

Xin Mao (East China Normal University, China); Wenting Wang (Alibaba Group, China); Huimin Xu, Man Lan, Yuanbin Wu (East China Normal University, China).

Nearly Linear Time Algorithm for Mean Hitting Times of Random Walks on a Graph

Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang (Fudan University, China).

Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding

Sambaran Bandyopadhyay (IBM, India); Lokesh Nagalapatti, Saley Vishal Vivek, Narasimha Murty Musti (Indian Institute of Science, India).

PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems

Zhiyong Wu, Ben Kao, Tien-Hsuan Wu (The University of Hong Kong); Pengcheng Yin (Carnegie Mellon University, United States); Qun Liu (Huawei Noah’s Ark Lab, Hong Kong, China).

Popularity Prediction on Social Platforms with Coupled Graph Neural Networks

Qi Cao, Huawei Shen, Jinhua Gao (Chinese Academy of Sciences, China); Bingzheng Wei (Tencent Inc, China); Xueqi Cheng (Chinese Academy of Sciences, China).

Predicting human mobility via Attentive Convolutional Network

Congcong Miao (Tsinghua University & Beijing National Research Center for Information Science and Technology, China); Ziyan Luo, Fengzhu Zeng (Tsinghua University, China); Jilong Wang (Tsinghua University & Beijing National Research Center for Information Science and Technology, China).

PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems

Azin Ghazimatin (Max Planck Institute for Informatics, Germany); Oana Balalau (Inria and École Polytechnique); Rishiraj Saha Roy, Gerhard Weikum (Max Plank Institute for Informatics, Germany).

Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations

Oluwaseyi Feyisetan, Borja Balle, Tom Diethe (Amazon, United Kingdom); Thomas Drake (Amazon, United States).

Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning

Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu (Arizona State University, United States).

Product Knowledge Graph Embedding for E-commerce

Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan (Walmart Labs, United States).

Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation

Lixin Zou (Tsinghua University, China); Long Xia (, China); Pan Du (University of Montreal, Canada); Zhuo Zhang (The University of Melbourne, Australia); Ting Bai (Renmin University of China, China); Weidong Liu (Tsinghua University, China); Jian-Yun Nie (University of Montreal, Canada); Dawei Yin (, China).

Recurrent Attention Walk for Semi-supervised Classification

Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang (King Abdullah University of Science and Technology, Saudi Arabia).

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 (Fudan university, China).

RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback

Ilya Shenbin, Anton Alekseev, Elena Tutubalina (Steklov Institute of Mathematics at St. Petersburg, Russia); Valentin Malykh (Moscow Institute of Physics and Technology, Russia); Sergey Nikolenko (Steklov Institute of Mathematics at St. Petersburg, Russia).

Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders

Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li (University of Illinois at Urbana-Champaign, United States); Myunghwan Kim, Matthew Walker, Yiou Xiao (LinkedIn, United States); Jiawei Han (University of Illinois at Urbana-Champaign, United States).

Parameter Tuning in Personal Search Systems

Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler (Google, United States).

Retrieving Top Weighted Triangles in Graphs

Raunak Kumar (Cornell University, United States); Paul Liu, Moses Charikar (Stanford University, United States); Austin Benson (Cornell University, United States).

Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference

Jaemin Yoo, U Kang (Seoul National University, South Korea); Mauro Scanagatta (Fondazione Bruno Kessler, Italy); Giorgio Corani, Marco Zaffalon (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Switzerland).

Separate and Attend in Personal Email Search

Yu Meng (University of Illinois at Urbana-Champaign, United States); Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler (Google, United States).

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation

Nengjun Zhu, Jian Cao (Shanghai Jiao Tong University, China); Yanchi Liu (Rutgers University, United States); Yang Yang (Nanjing University, China); Haochao Ying (Zhejiang University, China); Hui Xiong (Rutgers University, United States).

Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling

Jiarui Qin (Shanghai Jiao Tong University, China); Kan Ren (Microsoft, China); Yuchen Fang, Weinan Zhang, Yong Yu (Shanghai Jiao Tong University, China).

Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision

Yunqi Qiu, Yuanzhuo Wang, Xiaolong Jin, Kun Zhang (Chinese Academy of Sciences, China).

Temporal Context-Aware Representation Learning for Question Routing

Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen (NEC Labs America, United States).

Text Recognition Using Anonymous CAPTCHA Answers

Alexander Shishkin, Anastasia Bezzubtseva, Valentina Fedorova, Alexey Drutsa (Yandex, Russia); Gleb Gusev (Sberbank, Russia).

The Power of Pivoting for Exact Clique Counting

Shweta Jain, C. Seshadhri (University of California Santa Cruz, United States).

Time Interval Aware Self-Attention for Sequential Recommendation

Jiacheng Li (University of California San Diego, United States); Yujie Wang (Florida State University, United States); Julian McAuley (University of California San Diego, United States).

Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce

Jianling Wang (Texas A&M University, United States); Raphael Louca, Diane Hu, Caitlin Cellier (Etsy Inc., United States); James Caverlee (Texas A&M University, United States); Liangjie Hong (Etsy Inc., United States).

Toward Activity Discovery in the Personal Web

Tara Safavi (University of Michigan Ann Arbor, United States); Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend (Microsoft, United States); Danai Koutra (University of Michigan Ann Arbor, United States); Paul Bennett (Microsoft, United States).

Transferring Robustness for Graph Neural Network Against Poisoning Attacks

Xianfeng Tang (The Pennsylvania State University, United States); Yandong Li (University of Central Florida, United States); Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang (The Pennsylvania State University, United States).

TSA: A Truthful Mechanism for Social Advertising

Tobias Grubenmann, Reynold C.K. Cheng, Laks V.S. Lakshmanan (The University of British Columbia, Canada).

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 (Google Research, United States).

Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback

Yuta Saito (Tokyo Institute of Technology, Japan); Suguru Yaginuma, Yuta Nishino, Hayato Sakata (SMN Corporation, Japan); Kazuhide Nakata (Tokyo Institute of Technology, Japan).

User Recommendation in Content Curation Platforms

Jianling Wang, Ziwei Zhu, James Caverlee (Texas A&M University, United States).

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 (Amazon, Israel).