Conference on Web Search and Data Mining (2022)
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
Ethical Challenges in AI
Ricardo Baeza-Yates
Knowledge is Power: Symbolic Knowledge Distillation, Commonsense Morality, & Multimodal Script Knowledge
Yejin Choi
Graph Neural Network Research at AWS AI
George Karypis
k-Clustering with Fair Outliers
Matteo Almanza
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Alessandro Epasto
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Alessandro Panconesi
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Giuseppe Re
Wikipedia Reader Navigation: When Synthetic Data Is Enough
Akhil Arora
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Martin Gerlach
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Tiziano Piccardi
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Alberto García-Durán
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Robert West
Harvesting More Answer Spans from Paragraph beyond Annotation
Qiaoben Bao
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Jiangjie Chen
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Linfang Liu
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Jingping Liu
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Jiaqing Liang
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Yanghua Xiao
Sampling Multiple Nodes in Large Networks: Beyond Random Walks
Omri Ben-Eliezer
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Talya Eden
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Joel Oren
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Dimitris Fotakis
'It's on the tip of my tongue': A new Dataset for Known-Item Retrieval
Samarth Bhargav
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Georgios Sidiropoulos
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Evangelos Kanoulas
CAN: Feature Co-Action Network for Click-Through Rate Prediction
Weijie Bian
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Kailun Wu
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Lejian Ren
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Qi Pi
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Yujing Zhang
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Can Xiao
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Xiang-Rong Sheng
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Yong-Nan Zhu
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Zhangming Chan
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Na Mou
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Xinchen Luo
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Shiming Xiang
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Guorui Zhou
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Xiaoqiang Zhu
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Hongbo Deng
Towards Understanding and Answering Comparative Questions
Alexander Bondarenko
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Yamen Ajjour
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Valentin Dittmar
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Niklas Homann
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Pavel Braslavski
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Matthias Hagen
Graph Collaborative Reasoning
Hanxiong Chen
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Yunqi Li
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Shaoyun Shi
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Shuchang Liu
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He Zhu
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Yongfeng Zhang
A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism
Zhuo Chen
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Baoxi Liu
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Peng Zhang
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Tun Lu
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Hansu Gu
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Ning Gu
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation
Yankai Chen
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Menglin Yang
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Yingxue Zhang
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Mengchen Zhao
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Ziqiao Meng
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Jianye Hao
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Irwin King
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies
Lu Cheng
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Ruocheng Guo
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Huan Liu
Causal Mediation Analysis with Hidden Confounders
Lu Cheng
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Ruocheng Guo
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Huan Liu
AdaptKT: A Domain Adaptable Method for Knowledge Tracing
Song Cheng
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Qi Liu
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Enhong Chen
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Kai Zhang
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Zhenya Huang
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Yu Yin
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Xiaoqing Huang
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Yu Su
An Adaptive Unified Allocation Framework for Guaranteed Display Advertising
Xiao Cheng
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Chuanren Liu
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Liang Dai
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Peng Zhang
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Zhen Fang
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Zhonglin Zu
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?
Jin Yao Chin
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Yile Chen
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Gao Cong
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks
Minjin Choi
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Jinhong Kim
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Joonseok Lee
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Hyunjung Shim
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Jongwuk Lee
ANTHEM: Attentive Hyperbolic Entity Model for Product Search
Nurendra Choudhary
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Nikhil Rao
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Sumeet Katariya
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Karthik Subbian
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Chandan K. Reddy
Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases
Philipp Christmann
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Rishiraj Saha Roy
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Gerhard Weikum
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
Enyan Dai
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Wei Jin
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Hui Liu
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Suhang Wang
Predicting Human Mobility via Graph Convolutional Dual-attentive Networks
Weizhen Dang
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Haibo Wang
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Shirui Pan
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Pei Zhang
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Chuan Zhou
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Xin Chen
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Jilong Wang
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction
Suchana Datta
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Debasis Ganguly
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Derek Greene
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Mandar Mitra
Improving Personalized Search with Dual-Feedback Network
Chenlong Deng
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Yujia Zhou
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Zhicheng Dou
Combinatorial Bandits under Strategic Manipulations
Jing Dong
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Ke Li
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Shuai Li
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Baoxiang Wang
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du
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Xu Chen
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Fei Gao
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Qiang Fu
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Kunqing Xie
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Shi Han
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Dongmei Zhang
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision
Subhabrata Dutta
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Samiya Caur
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Soumen Chakrabarti
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Tanmoy Chakraborty
External Evaluation of Ranking Models under Extreme Position-Bias
Yaron Fairstein
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Elad Haramaty
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Arnon Lazerson
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Liane Lewin-Eytan
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search
Zhifang Fan
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Dan Ou
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Yulong Gu
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Bairan Fu
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Xiang Li
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Wentian Bao
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Xin-Yu Dai
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Xiaoyi Zeng
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Tao Zhuang
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Qingwen Liu
Variational User Modeling with Slow and Fast Features
Ghazal Fazelnia
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Eric Simon
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Ian Anderson
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Benjamin A. Carterette
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Mounia Lalmas
How Do You Test a Test?: A Multifaceted Examination of Significance Tests
Nicola Ferro
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Mark Sanderson
Efficient Graph Convolution for Joint Node Representation Learning and Clustering
Chakib Fettal
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Lazhar Labiod
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Mohamed Nadif
Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking
Chengzhen Fu
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Enrui Hu
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Letian Feng
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Zhicheng Dou
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Yantao Jia
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Lei Chen
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Fan Yu
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Zhao Cao
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling
Shen Gao
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Yuchi Zhang
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Yongliang Wang
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Yang Dong
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Xiuying Chen
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Dongyan Zhao
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Rui Yan
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning
Yingqiang Ge
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Xiaoting Zhao
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Lucia Yu
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Saurabh Paul
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Diane Hu
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Chu-Cheng Hsieh
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Yongfeng Zhang
Differentially Private Ensemble Classifiers for Data Streams
Lovedeep Gondara
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Ke Wang
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Ricardo Silva Carvalho
Multi-Scale Variational Graph AutoEncoder for Link Prediction
Zhihao Guo
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Feng Wang
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Kaixuan Yao
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Jiye Liang
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Zhiqiang Wang
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation
Jiayan Guo
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Yaming Yang
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Xiangchen Song
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Yuan Zhang
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Yujing Wang
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Jing Bai
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Yan Zhang
Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction
Jinquan Hang
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Zheng Dong
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Hongke Zhao
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Xin Song
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Peng Wang
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Hengshu Zhu
Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction
Zhenyun Hao
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Jianing Hao
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Zhaohui Peng
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Senzhang Wang
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Philip S. Yu
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Xue Wang
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Jian Wang
Keyword Assisted Embedded Topic Model
Bahareh Harandizadeh
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J. Hunter Priniski
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Fred Morstatter
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic
Jin Huang
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Harrie Oosterhuis
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Maarten de Rijke
POLE: Polarized Embedding for Signed Networks
Zexi Huang
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Arlei Silva
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Ambuj K. Singh
Triangle Graph Interest Network for Click-through Rate Prediction
Wensen Jiang
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Yizhu Jiao
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Qingqin Wang
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Chuanming Liang
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Lijie Guo
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Yao Zhang
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Zhijun Sun
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Yun Xiong
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Yangyong Zhu
On Generalizing Static Node Embedding to Dynamic Settings
Di Jin
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Sungchul Kim
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Ryan A. Rossi
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Danai Koutra
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
Wei Ju
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Junwei Yang
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Meng Qu
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Weiping Song
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Jianhao Shen
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Ming Zhang
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly
Dan Kalifa
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Uriel Singer
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Ido Guy
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Guy D. Rosin
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Kira Radinsky
GAGE: Geometry Preserving Attributed Graph Embeddings
Charilaos I. Kanatsoulis
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Nicholas D. Sidiropoulos
Query Interpretations from Entity-Linked Segmentations
Vaibhav Kasturia
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Marcel Gohsen
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Matthias Hagen
An Unsupervised Detection Framework for Chinese Jargons in the Darknet
Liang Ke
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Xinyu Chen
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Haizhou Wang
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic
Wenjun Ke
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Jinhua Gao
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Huawei Shen
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Xueqi Cheng
Cluster-Aware Heterogeneous Information Network Embedding
Rayyan Ahmad Khan
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Martin Kleinsteuber
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model
Haruka Kiyohara
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Yuta Saito
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Tatsuya Matsuhiro
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Yusuke Narita
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Nobuyuki Shimizu
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Yasuo Yamamoto
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings
Till Kletti
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Jean-Michel Renders
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Patrick Loiseau
Multi-Resolution Attention for Personalized Item Search
Furkan Kocayusufoglu
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Tao Wu
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Anima Singh
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Georgios Roumpos
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Heng-Tze Cheng
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Sagar Jain
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Ed H. Chi
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Ambuj K. Singh
Linear, or Non-Linear, That is the Question!
Taeyong Kong
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Taeri Kim
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Jinsung Jeon
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Jeongwhan Choi
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Yeon-Chang Lee
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Noseong Park
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Sang-Wook Kim
Efficient Two-stage Label Noise Reduction for Retrieval-based Tasks
Mengmeng Kuang
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Weiyan Wang
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Zhenhong Chen
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Lie Kang
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Qiang Yan
Differential Query Semantic Analysis: Discovery of Explicit Interpretable Knowledge from E-Com Search Logs
Sahiti Labhishetty
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ChengXiang Zhai
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Min Xie
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Lin Gong
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Rahul Sharnagat
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Satya Chembolu
Collaborative Curating for Discovery and Expansion of Visual Clusters
Dung D. Le
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Hady W. Lauw
A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation
Xiangsheng Li
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Jiaxin Mao
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Weizhi Ma
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Zhijing Wu
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Yiqun Liu
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Min Zhang
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Shaoping Ma
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Zhaowei Wang
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Xiuqiang He
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training
Jia Li
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Chongyang Tao
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Huang Hu
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Can Xu
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Yining Chen
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Daxin Jiang
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
Chenglin Li
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Mingjun Zhao
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Huanming Zhang
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Chenyun Yu
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Lei Cheng
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Guoqiang Shu
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Beibei Kong
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Di Niu
Graph Embedding with Hierarchical Attentive Membership
Lu Lin
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Ethan Blaser
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Hongning Wang
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks
Zihan Liu
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Yun Luo
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Zelin Zang
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Stan Z. Li
Improving Knowledge Tracing with Collaborative Information
Ting Long
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Jiarui Qin
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Jian Shen
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Weinan Zhang
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Wei Xia
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Ruiming Tang
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Xiuqiang He
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Yong Yu
An Ensemble Model for Combating Label Noise
Yangdi Lu
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Yang Bo
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Wenbo He
Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization
Shiyin Lu
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Yu-Hang Zhou
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Jing-Cheng Shi
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Wenya Zhu
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Qingtao Yu
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Qing-Guo Chen
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Qing Da
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Lijun Zhang
The Multi-vehicle Ride-Sharing Problem
Kelin Luo
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Chaitanya Agarwal
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Syamantak Das
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Xiangyu Guo
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
Zihan Luo
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Jianxun Lian
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Hong Huang
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Hai Jin
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Xing Xie
RLMob: Deep Reinforcement Learning for Successive Mobility Prediction
Ziyan Luo
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Congcong Miao
ComGA: Community-Aware Attributed Graph Anomaly Detection
Xuexiong Luo
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Jia Wu
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Amin Beheshti
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Jian Yang
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Xiankun Zhang
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Yuan Wang
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Shan Xue
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering
Wanqi Ma
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Xiancong Chen
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Weike Pan
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Zhong Ming
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
Jiaqi Ma
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Junwei Deng
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Qiaozhu Mei
Diversified Subgraph Query Generation with Group Fairness
Hanchao Ma
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Sheng Guan
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Christopher Toomey
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Yinghui Wu
Learning Fair Node Representations with Graph Counterfactual Fairness
Jing Ma
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Ruocheng Guo
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Mengting Wan
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Longqi Yang
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Aidong Zhang
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Jundong Li
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
Rongrong Ma
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Guansong Pang
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Ling Chen
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Anton van den Hengel
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling
Jiaqi Ma
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Xingjian Zhang
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Qiaozhu Mei
Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality Attention
Chengcheng Mai
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Mengchuan Qiu
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Kaiwen Luo
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Ziyan Peng
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Jian Liu
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Chunfeng Yuan
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Yihua Huang
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
Ganeshan Malhotra
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Abdul Waheed
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Aseem Srivastava
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Md. Shad Akhtar
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Tanmoy Chakraborty
Learning Relevant Questions for Conversational Product Search using Deep Reinforcement Learning
Ali Montazeralghaem
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James Allan
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs
Rajdeep Mukherjee
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Uppada Vishnu
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Hari Chandana Peruri
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Sourangshu Bhattacharya
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Koustav Rudra
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Pawan Goyal
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Niloy Ganguly
Reconfiguration Problems on Submodular Functions
Naoto Ohsaka
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Tatsuya Matsuoka
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
Yitong Pang
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Lingfei Wu
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Qi Shen
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Yiming Zhang
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Zhihua Wei
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Fangli Xu
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Ethan Chang
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Bo Long
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Jian Pei
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation
Sung-Jun Park
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Dong-Kyu Chae
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Hong-Kyun Bae
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Sumin Park
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Sang-Wook Kim
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
Namyong Park
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Fuchen Liu
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Purvanshi Mehta
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Dana Cristofor
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Christos Faloutsos
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Yuxiao Dong
Scope-aware Re-ranking with Gated Attention in Feed
Hao Qian
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Qintong Wu
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Kai Zhang
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Zhiqiang Zhang
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Lihong Gu
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Xiaodong Zeng
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Jun Zhou
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Jinjie Gu
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
Ruihong Qiu
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Zi Huang
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Hongzhi Yin
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Zijian Wang
A Simple but Effective Bidirectional Framework for Relational Triple Extraction
Feiliang Ren
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Longhui Zhang
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Xiaofeng Zhao
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Shujuan Yin
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Shilei Liu
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Bochao Li
Time Masking for Temporal Language Models
Guy D. Rosin
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Ido Guy
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Kira Radinsky
On Sampling Collaborative Filtering Datasets
Noveen Sachdeva
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Carole-Jean Wu
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Julian J. McAuley
Understanding and Mitigating the Effect of Outliers in Fair Ranking
Fatemeh Sarvi
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Maria Heuss
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Mohammad Aliannejadi
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Sebastian Schelter
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Maarten de Rijke
Enumerating Fair Packages for Group Recommendations
Ryoma Sato
Retrieving Black-box Optimal Images from External Databases
Ryoma Sato
Evaluating Mixed-initiative Conversational Search Systems via User Simulation
Ivan Sekulic
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Mohammad Aliannejadi
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Fabio Crestani
Diversified Query Generation Guided by Knowledge Graph
Xinyao Shen
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Jiangjie Chen
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Jiaze Chen
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Chun Zeng
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Yanghua Xiao
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs
Hyeonjeong Shin
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Taehyung Kwon
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Neil Shah
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Kijung Shin
Using Conjunctions for Faster Disjunctive Top-k Queries
Michal Siedlaczek
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Antonio Mallia
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Torsten Suel
Attributed Graph Modeling with Vertex Replacement Grammars
Satyaki Sikdar
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Neil Shah
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Tim Weninger
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce
Uriel Singer
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Haggai Roitman
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Yotam Eshel
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Alexander Nus
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Ido Guy
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Or Levi
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Idan Hasson
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Eliyahu Kiperwasser
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
Yu Song
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Shuai Sun
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Jianxun Lian
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Hong Huang
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Yu Li
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Hai Jin
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Xing Xie
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning
Dusan Stamenkovic
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Alexandros Karatzoglou
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Ioannis Arapakis
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Xin Xin
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Kleomenis Katevas
Efficient Reachability Query with Extreme Labeling Filter
Zhixiang Su
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Di Wang
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Xiaofeng Zhang
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Lizhen Cui
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Chunyan Miao
MonLAD: Money Laundering Agents Detection in Transaction Streams
Xiaobing Sun
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Wenjie Feng
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Shenghua Liu
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Yuyang Xie
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Siddharth Bhatia
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Bryan Hooi
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Wenhan Wang
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Xueqi Cheng
Graph Few-shot Class-incremental Learning
Zhen Tan
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Kaize Ding
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Ruocheng Guo
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Huan Liu
Uncovering Causal Effects of Online Short Videos on Consumer Behaviors
Ziqi Tan
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Shengyu Zhang
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Nuanxin Hong
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Kun Kuang
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Yifan Yu
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Jin Yu
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Zhou Zhao
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Hongxia Yang
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Shiyuan Pan
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Jingren Zhou
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Fei Wu
Friend Story Ranking with Edge-Contextual Local Graph Convolutions
Xianfeng Tang
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Yozen Liu
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Xinran He
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Suhang Wang
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Neil Shah
DAME: Domain Adaptation for Matching Entities
Mohamed Trabelsi
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Jeff Heflin
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Jin Cao
A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting
Jiachuan Wang
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Lei Chen
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Charles Wang Wai Ng
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce
Xuesi Wang
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Guangda Huzhang
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Qianying Lin
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Qing Da
Knowledge Enhanced Sports Game Summarization
Jiaan Wang
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Zhixu Li
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Tingyi Zhang
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Duo Zheng
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Jianfeng Qu
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An Liu
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Lei Zhao
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Zhigang Chen
MtCut: A Multi-Task Framework for Ranked List Truncation
Dong Wang
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Jianxin Li
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Tianchen Zhu
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Haoyi Zhou
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Qishan Zhu
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Yuxin Wen
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Hongming Piao
A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction
Chao Wang
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Jingping Liu
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Tianyi Zhuang
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Jiahang Li
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Juntao Liu
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Yanghua Xiao
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Wei Wang
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Rui Xie
Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining
Zhan Wang
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Zhaohui Peng
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Senzhang Wang
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Qiao Song
Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation
Lu Wang
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Ruiming Tang
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Xiaofeng He
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Xiuqiang He
Structure Meets Sequences: Predicting Network of Co-evolving Sequences
Yaojing Wang
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Yuan Yao
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Feng Xu
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Yada Zhu
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Hanghang Tong
Scalable Graph Topology Learning via Spectral Densification
Yongyu Wang
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Zhiqiang Zhao
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Zhuo Feng
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering
Zhenyi Wang
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Huan Zhao
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Chuan Shi
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Wei Wei
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Chao Huang
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Lianghao Xia
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Yong Xu
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Jiashu Zhao
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Dawei Yin
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising
Chao Wen
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Miao Xu
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Zhilin Zhang
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Zhenzhe Zheng
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Yuhui Wang
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Xiangyu Liu
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Yu Rong
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Dong Xie
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Xiaoyang Tan
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Chuan Yu
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Jian Xu
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Fan Wu
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Guihai Chen
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Xiaoqiang Zhu
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Bo Zheng
Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video Enhancement
Xiaotong Wu
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Lianyong Qi
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Xiaolong Xu
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Shui Yu
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Wanchun Dou
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Xuyun Zhang
Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources
Sixing Wu
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Minghui Wang
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Ying Li
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Dawei Zhang
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Zhonghai Wu
Towards Unbiased and Robust Causal Ranking for Recommender Systems
Teng Xiao
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Suhang Wang
Long Short-Term Temporal Meta-learning in Online Recommendation
Ruobing Xie
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Yalong Wang
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Rui Wang
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Yuanfu Lu
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Yuanhang Zou
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Feng Xia
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Leyu Lin
A Peep into the Future: Adversarial Future Encoding in Recommendation
Ruobing Xie
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Shaoliang Zhang
|
Rui Wang
|
Feng Xia
|
Leyu Lin
Supervised Advantage Actor-Critic for Recommender Systems
Xin Xin
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Alexandros Karatzoglou
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Ioannis Arapakis
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Joemon M. Jose
Informed Multi-context Entity Alignment
Kexuan Xin
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Zequn Sun
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Wen Hua
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Wei Hu
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Xiaofang Zhou
Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns
Xiaofei Xu
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Ke Deng
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Xiuzhen Zhang
MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition
Bo Xu
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Shizhou Huang
|
Chaofeng Sha
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Hongya Wang
Translating Human Mobility Forecasting through Natural Language Generation
Hao Xue
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Flora D. Salim
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Yongli Ren
|
Charles L. A. Clarke
Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT
Yingrui Yang
|
Yifan Qiao
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Jinjin Shao
|
Xifeng Yan
|
Tao Yang
Few-shot Link Prediction in Dynamic Networks
Cheng Yang
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Chunchen Wang
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Yuanfu Lu
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Xumeng Gong
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Chuan Shi
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Wei Wang
|
Xu Zhang
MAVE: A Product Dataset for Multi-source Attribute Value Extraction
Li Yang
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Qifan Wang
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Zac Yu
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Anand Kulkarni
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Sumit Sanghai
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Bin Shu
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Jon Elsas
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Bhargav Kanagal
Interpretable Relation Learning on Heterogeneous Graphs
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Qiannan Zhang
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Chuxu Zhang
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Xiangliang Zhang
Fast Semantic Matching via Flexible Contextualized Interaction
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Yiding Liu
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Lixin Zou
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Hengyi Cai
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Suqi Cheng
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Shuaiqiang Wang
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Dawei Yin
Assessing Algorithmic Biases for Musical Version Identification
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Marius Miron
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Joan Serrà
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Emilia Gómez
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Yeon-Chang Lee
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Kijung Shin
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Sang-Wook Kim
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations
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Tianlong Chen
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Zhangyang Wang
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Yang Shen
Sentiment Analysis of Fashion Related Posts in Social Media
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Wai Lam
Community Trend Prediction on Heterogeneous Graph in E-commerce
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Zhao Li
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Pengcheng Zou
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Xuan Gao
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Jinwei Pan
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Wendi Ji
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Xiaoling Wang
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Jiaxin Mao
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Yiqun Liu
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Jiafeng Guo
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Min Zhang
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Shaoping Ma
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing
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Hongxu Chen
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Sixiao Zhang
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Guandong Xu
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Junbin Gao
ESC-GAN: Extending Spatial Coverage of Physical Sensors
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Ranak Roy Chowdhury
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Jingbo Shang
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Rajesh K. Gupta
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Dezhi Hong
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information
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Shweta Garg
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Yu Meng
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Xiusi Chen
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Jiawei Han
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling
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Xinru Liao
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Quan Liu
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Jian Xu
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Bo Zheng
Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders
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Nanzhou Lin
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Xuelong Zhang
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Wei Song
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Xiandi Yang
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Zhiyong Peng
A GNN-based Multi-task Learning Framework for Personalized Video Search
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Lei Shi
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Jiashu Zhao
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Juan Yang
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Tianshu Lyu
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Dawei Yin
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Haiping Lu
GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning
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Wenhan Wang
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Yuxiong He
CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction
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Binwu Wang
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Ziyang Shan
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Zhengyang Zhou
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Yang Wang
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion
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Hongzhi Yin
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Tong Chen
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Zi Huang
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Quoc Viet Hung Nguyen
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Lizhen Cui
A Counterfactual Modeling Framework for Churn Prediction
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Jinwei Zeng
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Zhengyue Zhao
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Depeng Jin
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Yong Li
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Enyan Dai
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Kai Shu
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Suhang Wang
ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction
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Min Gao
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Zongwei Wang
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning
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Ning Yang
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Philip S. Yu
Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network
Kai Zhao
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Yukun Zheng
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Tao Zhuang
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Xiang Li
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Xiaoyi Zeng
AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss
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Hui Chen
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Jing Zhang
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Qianmu Li
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Dianming Hu
Learning Transferable Node Representations for Attribute Extraction from Web Documents
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Ying Sheng
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Nguyen Vo
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Nick Edmonds
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Sandeep Tata
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Kun Zhou
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Wayne Xin Zhao
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Cheng Wang
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Peng Jiang
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He Hu
Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning
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James Caverlee
Personalized Transfer of User Preferences for Cross-domain Recommendation
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Zhenwei Tang
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Yudan Liu
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Fuzhen Zhuang
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Ruobing Xie
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Xu Zhang
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Leyu Lin
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Qing He
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning
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Wen Zhang
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Mingyang Chen
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Hui Chen
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Xu Cheng
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Wei Zhang
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Huajun Chen
A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion
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Qiannan Zhu
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Yinliang Yue
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Yuhong Zhao
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Weisi Han
Improving Session Search by Modeling Multi-Granularity Historical Query Change
Xiaochen Zuo
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Zhicheng Dou
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Ji-Rong Wen
Improving Text Generation via Neural Discourse Planning
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Robust Graph Learning for Misbehavior Detection
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GNNs for Node Clustering in Signed and Directed Networks
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Towards Practical Robustness Evaluation and Robustness Enhancing
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From Uni-relational to Multi-relational Graph Neural Networks
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Trustworthy Machine Learning: Fairness and Robustness
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Fair Graph Representation Learning with Imbalanced and Biased Data
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Doctoral Consortium of WSDM'22: Exploring the Bias of Adversarial Defenses
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Quality Assurance of a German COVID-19 Question Answering Systems using Component-based Microbenchmarking
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Paul Heinze
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Aleksandr Perevalov
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Johannes Richard Bartsch
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Rostislav Iudin
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Johannes Rudolf Herkner
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Tim Schrader
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Jonas Wunsch
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René Gürth
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Ann Kristin Falkenhain
iLFQA: A Platform for Efficient and Accurate Long-Form Question Answering
Rhys Butler
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Vishnu Dutt Duggirala
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Farnoush Banaei Kashani
Web Search via an Efficient and Effective Brain-Machine Interface
Xuesong Chen
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Ziyi Ye
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Xiaohui Xie
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Yiqun Liu
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Xiaorong Gao
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Weihang Su
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Shuqi Zhu
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Yike Sun
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Min Zhang
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Shaoping Ma
Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini
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Julie Tibshirani
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Jimmy Lin
Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling
Yan Fan
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Chengyu Wang
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Peng He
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Yunhua Hu
Automating ETL and Mining of Ethereum Blockchain Network
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Sourav Sen Gupta
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Arijit Khan
a2RegInf: An Interactive System for Maximizing Influence within Arbitrary Number of Arbitrary Shaped Query Regions
Hui Li
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Qiting Yang
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Jiangtao Cui
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
Dai Quoc Nguyen
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Vinh Tong
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Dinh Q. Phung
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Dat Quoc Nguyen
PrivacyCheck v3: Empowering Users with Higher-Level Understanding of Privacy Policies
Razieh Nokhbeh Zaeem
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Ahmad Ahbab
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Josh Bestor
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Hussam H. Djadi
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Sunny Kharel
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Victor Lai
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Nick Wang
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K. Suzanne Barber
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems
Zohreh Ovaisi
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Shelby Heinecke
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Jia Li
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Yongfeng Zhang
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Elena Zheleva
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Caiming Xiong
Fair-SRS: A Fair Session-based Recommendation System
Naime Ranjbar Kermany
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Jian Yang
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Jia Wu
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Luiz Pizzato
Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf
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Kevin Roitero
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Francesco Bombassei De Bona
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Stefano Mizzaro
An Interactive Knowledge Graph Based Platform for COVID-19 Clinical Research
Juntao Su
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Edward T. Dougherty
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Shuang Jiang
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Fang Jin
Personalized Information Retrieval for Touristic Attractions in Augmented Reality
Felix Yang
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Saikishore Kalloori
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Ribin Chalumattu
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Markus Gross
Search and Discovery in Personal Email Collections
Michael Bendersky
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Xuanhui Wang
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Marc Najork
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Donald Metzler
Graph Minimally-supervised Learning
Kaize Ding
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Jundong Li
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Nitesh V. Chawla
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Huan Liu
Graph Neural Networks for Recommender System
Chen Gao
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Xiang Wang
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Xiangnan He
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Yong Li
A Tutorial on Stance Detection
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Fazli Can
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc
Sarah Masud
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Pinkesh Pinkesh
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Amitava Das
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Manish Gupta
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Preslav Nakov
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Tanmoy Chakraborty
Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic
Preslav Nakov
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Giovanni Da San Martino
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Firoj Alam
Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System
Da Xu
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Chuanwei Ruan
The Pit Stop Problem: How to Plan Your Next Road Trip
Kostas Kollias
Predicting Users' Gender and Age based on Mobile Tasks
Yuan Tian
Towards a Cross-domain Semantically Interoperable Ecosystem
Milenko Tosic
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Fábio André Coelho
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Barry Nouwt
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David Emanuel Rua
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Aleksandar Tomcic
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Sasa Pesic
Exploration in Recommender Systems
Minmin Chen
Studying Long-Term User Behaviour Using Dynamic Time Warping for Customer Retention
Harsha Gwalani
AI & Public Data for Humanitarian and Emergency Response
Alejandro Jaimes
Scalable Attribute Extraction at Instacart
Shih-Ting Lin
A Practical Guide to Robust Multimodal Machine Learning and Its Application in Education
Zitao Liu
Mining Frequent Patterns on Knowledge Graphs
Lalla Mouatadid
Near Real Time AI Personalization for Notifications at LinkedIn
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Successes and Opportunities in Enterprise AI
Vijay K. Narayanan
Experiments with Predictive Long Term Guardrail Metrics
Sri Sri Perangur
Challenges in Data Production for AI with Human-in-the-Loop
Dmitry Ustalov
Rethink e-Commerce Search
Haixun Wang
The Incentives Platform at Lyft
Alex Wood-Doughty
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Cameron Bruggeman
Graph Neural Networks for the Global Economy with Microsoft DeepGraph
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Baoxu Shi
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Alex Samylkin
The Rise of Data Observability: Architecting the Future of Data Trust
Barr Moses