#1 Web mining / Web Search (III)

Paper TitleAuthors
MAVE: A Product Dataset for Multi-source Attribute Value ExtractionLi Yang (Google Research); Qifan Wang (Google Research)*; Zac Yu (Google); Anand Kulkarni (Google); Sumit Sanghai (Google LLC); Bin Shu (Google); Jonathan Elsas (Google); Bhargav Kanagal (Google)
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference LearningXiaoyun Zhao (Sichuan University); Ning Yang (Sichuan University)*; Philip S Yu (UIC)
Non-stationary Continuum-armed Bandits for Online Hyperparameter OptimizationShiyin Lu (Nanjing University)*; Yu-Hang Zhou (Alibaba Group); Jing-Cheng Shi (Nanjing University; Alibaba Group); wenya zhu (Alibaba); Qingtao Yu (Alibaba); Qing-Guo Chen (Alibaba); Qing Da (Alibaba Group); Lijun Zhang (Nanjing University)
Learning-To-Ensemble by Contextual Rank Aggregation in E-CommerceXuesi Wang (Alibaba); Guangda Huzhang (Alibaba); Qianying Lin (Alibaba)*; Qing Da (Alibaba Group)
Graph Collaborative ReasoningHanxiong Chen (Rutgers University)*; Yunqi Li (Rutgers University); Shaoyun Shi (Tsinghua University); Shuchang Liu (Rutgers University); He Zhu (Rutgers University); Yongfeng Zhang (Rutgers University)
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware RecommendationYankai Chen (The Chinese University of Hong Kong)*; Menglin Yang (The Chinese University of Hong Kong); Yingxue Zhang (Huawei Technologies Canada); Mengchen Zhao (Huawei Noah’s Ark Lab); Ziqiao Meng (Chinese University of Hong Kong); Jianye Hao (Huawei Noah’s Ark Lab); Irwin King (The Chinese University of Hong Kong)
Retrieving Black-box Optimal Images from External DatabasesRyoma Sato (Kyoto University)*
MtCut: A Multi-Task Framework for Ranked List TruncationJianxin Li (Beihang University)*; Wang Dong (Beihang University); Tianchen Zhu (Beihang University); Qishan Zhu (Beihang University); Yuxin Wen (Beihang University); Piao Hongming (Beihang University)

#2 Web mining (III)

Paper TitleAuthors
MAF: A General Matching and Alignment Framework for Multimodal Named Entity RecognitionBo Xu (Donghua University)*; Shizhou Huang (Donghua University); Chaofeng Sha (Fudan University); Hongya Wang (Donghua University)
A Peep into the Future: Adversarial Future Encoding in RecommendationRuobing Xie (WeChat Search Application Department, Tencent)*; Shaoliang Zhang (Tencent); Rui Wang (Tencent); Feng Xia (WeChat Search Application Department, Tencent); Leyu Lin (WeChat Search Application Department, Tencent)
Variational User Modeling with Slow and Fast FeaturesGhazal Fazelnia (Spotify)*; Eric Simon (Spotify); Ian Anderson (Spotify); Benjamin Carterette (Spotify); Mounia Lalmas (Spotify)
Scalable Graph Topology Learning via Spectral DensificationYongyu Wang (Michigan Technological University); Zhiqiang Zhao (Stevens Institute of Technology); Zhuo Feng (Stevens Institute of Technology)*
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial AttacksZihan Liu (Westlake University)*; Yun Luo (Westlake university); Zelin Zang (Westlake University); Stan Z. Li (Westlake University)
DAME: Domain Adaptation for Matching EntitiesMohamed Trabelsi (Lehigh University)*; Jeff Heflin (Lehigh University); Jin Cao (Nokia Bell Labs)
Wikipedia Reader Navigation: When Synthetic Data is EnoughAkhil Arora (EPFL)*; Martin Gerlach (Wikimedia Foundation); Tiziano Piccardi (EPFL); Alberto Garcia-Duran (EPFL); Robert West (EPFL)
Collaborative Curating for Discovery and Expansion of Visual ClustersDung Duy Le (College of Engineering and Computer Science, VinUniversity)*; Hady Lauw (Singapore Management University)

#3 Web mining (IV)

Paper TitleAuthors
Cluster-Aware Heterogeneous Information Network EmbeddingRayyanAhmad Khan (Technical University of Munich)*; Martin Kleinsteuber (Technical University of Munich)
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotionshijie zhang (The University of Queensland)*; Hongzhi Yin (The University of Queensland); Tong Chen (The University of Queensland); Zi Helen Huang (University of Queensland); Quoc Viet Hung Nguyen (Griffith University); Lizhen Cui (ShanDong University)
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain RecommendationChenglin Li (University of Alberta)*; Mingjun Zhao (University of Alberta); huanming zhang (South China University of Technology); Chenyun YU (City University of Hong Kong); Lei Cheng (Tencent); Guoqiang Shu (Tencent); Jianming Yang (Tencent ); Di Niu (University of Alberta)
Personalized Transfer of User Preferences for Cross-domain RecommendationYongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences)*; Zhenwei Tang (King Abdullah University of Science and Technology); Yudan Liu (WeChat Search Application Department, Tencent); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Ruobing Xie (WeChat Search Application Department, Tencent); Xu Zhang (WeChat Search Application Department, Tencent); Leyu Lin (WeChat Search Application Department, Tencent); Qing He (Institute of Computing Technology, Chinese Academy of Sciences)
A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph CompletionJianhuan Zhuo (Institute of Information Engineering, Chinese Academy of Sciences)*; Qiannan Zhu (Gaoling School of Artificial Intelligence, Renmin University of China); Yinliang Yue (Institute of Information Engineering, Chinese Academy of Sciences); Yuhong Zhao (Institute of Information Engineering, Chinese Academy of Sciences); Weisi Han (Institute of Information Engineering, Chinese Academy of Sciences)
Scope-aware Re-ranking with Gated Attention in FeedHao Qian (Ant Services Group)*; Qintong Wu (Ant Group ); Kai Zhang (University of Science and Technology of China); Zhiqiang Zhang (Ant Group); Lihong Gu (Ant Group); Xiaodong Zeng (Ant Services Group ); Jun Zhou (Ant Financial); Jinjie Gu (Ant Group)
Knowledge Enhanced Sports Game SummarizationJiaan Wang (Soochow University)*; Zhixu Li (Fudan University); Tingyi Zhang (Soochow University); Duo Zheng (Beijing University of Posts and Telecommunications); JIanfeng Qu (Soochow University); An Liu (Soochow University); Lei Zhao (Soochow University); Zhigang Chen (iFLYTEK CO., LTD)
A Simple but Effective Bidirectional Framework for Relational Triple ExtractionFeiliang Ren (Northeastern University)*; Longhui Zhang (Northeastern University); Shujuan Yin (Northeastern University); Xiaofeng Zhao (Northeastern University); Shilei Liu (Northeastern University); Bochao Li (Northeastern University)

#4 Social Networks / Web mining (II)

Paper TitleAuthors
MTLVS: A Multi-Task Framework to Verify and Summarize Crisis-Related MicroblogsRajdeep Mukherjee (IIT Kharagpur)*; Uppada Vishnu (IIT Kharagpur); Chandana Peruri (IIT Kharagpur); Sourangshu Bhattacharya (IIT KHARAGPUR); niloy ganguly (IIT Kharagpur); Pawan Goyal ( Indian Institute of Technology Kharagpur); Koustav Rudra (Leibniz Universität Hannover)
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic GraphsHyeonjeong Shin (KAIST); Taehyung Kwon (KAIST); Neil Shah (Snap Inc.); Kijung Shin (KAIST)*
Ranking Friend Stories on Social Platforms with Edge-Contextual Local Graph ConvolutionsXianfeng Tang (Amazon)*; Yozen Liu (Snap Inc); Xinran He (Snap Inc.); Suhang Wang (Pennsylvania State University); Neil Shah (Snap Inc.)
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message PassingChengkun Zhang (the University of Sydney)*; Hongxu Chen (University of Technology Sydney); Sixiao Zhang (University of Technology Sydney); Guandong Xu (University of Technology Sydney, Australia); Junbin Gao (University of Sydney, Australia)
Graph Few-shot Class-incremental LearningZhen Tan (Arizona State University)*; Kaize Ding (Arizona State University); Ruocheng Guo (City University of Hong Kong); Huan Liu (Arizona State University)
Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation CampaignsXiaofei Xu (RMIT University)*; KE DENG (RMIT University); Xiuzhen Zhang (RMIT University)
A Counterfactual Modeling Framework for Churn PredictionGuozhen Zhang (Tsinghua University)*; Jinwei Zeng (Tsinghua University); Zhengyue Zhao (Tsinghua University); Depeng Jin (Tsinghua University); Yong Li (Tsinghua University)
Directed Network Embedding with Virtual Negative EdgesHyunsik Yoo (Hanyang University); Yeon-Chang Lee (Hanyang University); Kijung Shin (KAIST); Sang-Wook Kim (Hanyang University, Korea)*

#5 Intelligent Assistant (I)

Paper TitleAuthors
Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple SourcesSixing Wu (Peking University)*; Minghui Wang (Peking University); Ying Li (Peking University); Dawei Zhang (Peking University); Zhonghai Wu (Peking University)
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial TrainingJia Li (Peking University); Chongyang Tao (Microsoft)*; Huang Hu (Microsoft); Can Xu (microsoft); Yining Chen (Microsoft); Daxin Jiang (Microsoft, Beijing, China)
On Sampling Collaborative Filtering DatasetsNoveen Sachdeva (UC San Diego)*; Carole-Jean Wu (Facebook AI Research); Julian McAuley (UCSD)
Choosing the Best of All Worlds: Accurate, Diverse, and Novel Recommendations through Multi-Objective Reinforcement LearningDušan Stamenković (Department of Mathematics and Informatics, University of Novi Sad)*; Alexandros Karatzoglou (Google Research); Ioannis Arapakis (Telefonica Research); Xin Xin (Shandong University); Kleomenis Katevas (Telefonica Research)
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance PredictionSuchana Datta (University College Dublin)*; Debasis Ganguly (University of Glasgow); Derek Greene (University College Dublin); Mandar Mitra (Indian Statistical Institute, Kolkata)
Supervised Advantage Actor-Critic for Recommender SystemsXin Xin (Shandong University); Alexandros Karatzoglou (Google Research)*; Ioannis Arapakis (Telefonica Research); Joemon M Jose ( University of Glasgow)
Learning Relevant Questions for Conversational Product Search using Reinforcement LearningAli Montazeralghaem (University of Massachusetts Amherst)*; James Allan (University of Massachusetts Amherst)

#6 Privacy (I)

Paper TitleAuthors
Learning Fair Node Representations with Graph Counterfactual FairnessJing Ma (University of Virginia)*; Ruocheng Guo (City University of Hong Kong); Mengting Wan (Microsoft); Longqi Yang (Microsoft); Aidong Zhang (University of Virginia); Jundong Li (University of Virginia)
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement LearningYingqiang Ge (Rutgers University)*; Xiaoting Zhao (Etsy); Lucia Yu (Etsy); Saurabh Paul (Etsy); Diane Hu (Etsy); Yongfeng Zhang (Rutgers University)
Towards Fair Classifiers Without Sensitive Attributes: ExploringBiases in Related FeaturesTianxiang Zhao (Penn State University)*; Enyan Dai (The Pennsylvania State University); Kai Shu (Illinois Institute of Technology); Suhang Wang (Pennsylvania State University)
Understanding and Mitigating the Effect of Outliers in Fair RankingFatemeh Sarvi (University of Amsterdam)*; Maria Heuss (University of Amsterdam); Mohammad Aliannejadi (University of Amsterdam); Sebastian Schelter (University of Amsterdam); Maarten de Rijke (University of Amsterdam & Ahold Delhaize)
Introducing the Expohedron for efficient Pareto-optimal fairness-utility amortizations in repeated rankingsTill Kletti (NaverLabs Europe)*; Jean-Michel Renders (NAVER LABS Europe); Patrick Loiseau (Inria)
Assessing Algorithmic Biases for Musical Version IdentificationFurkan Yesiler (Universitat Pompeu Fabra)*; Marius Miron (Universitat Pompeu Fabra); Joan Serra (Dolby Laboratories); Emilia Gomez (Universitat Pompeu Fabra)

#7 Web of Things / Crowdsourcing

Paper TitleAuthors
Keyword Assisted Embedded Topic ModelBahareh Harandizadeh (University of Southern California)*; J. Hunter Priniski (University of California, Los Angeles); Fred Morstatter (University of Southern California)
Combinatorial Bandits under Strategic ManipulationsJing Dong (The Chinese University of Hong Kong, Shenzhen)*; Ke Li (The Chinese University of Hong Kong, Shenzhen); Shuai Li (Shanghai Jiao Tong University); Baoxiang Wang (The Chinese University of Hong Kong, Shenzhen)
Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video EnhancementXiaotong Wu (Nanjing Normal University)*; Lianyong Qi (Qufu Normal University); Xiaolong Xv (Nanjing University of Information Science and Technology); Shui Yu (University of Technology Sydney (UTS)); Wanchun Dou (Nanjing University); Xuyun Zhang (Macquarie University)
ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow PredictionLiang Zhao (Chongqing University); Min Gao (Chongqing University)*; Zongwei Wang (Chongqing University)
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative FilteringWanqi Ma (Shenzhen University); Xiancong Chen (Shenzhen University); Weike Pan (Shenzhen University)*; Zhong Ming (Shenzhen University)
Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover PredictionJinquan Hang (Peking University)*; Zheng Dong (Baidu); Hengshu Zhu (Baidu); Hongke Zhao (Tianjin University); Xin Song (Baidu Inc.); Peng Wang (Baidu Inc.)
PLdFe-RR:Personalized Long-distance Fuel-efficient Route Recommendation Based On Historical TrajectoryZhan Wang (Shandong University); Zhaohui Peng (Shandong University)*; Senzhang Wang (Central South University); Qiao Song (Shandong University)

Event Timeslots (1)

Wed (Feb. 23)
(parallel session)