{"id":717,"date":"2021-12-21T05:59:33","date_gmt":"2021-12-21T05:59:33","guid":{"rendered":"https:\/\/www.wsdm-conference.org\/2022\/?page_id=717"},"modified":"2021-12-22T14:06:06","modified_gmt":"2021-12-22T14:06:06","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/www.wsdm-conference.org\/2022\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"\n

<\/p>\n\n\n

Long Short-Term Temporal Meta-learning in Online Recommendation<\/h4>\n

Ruobing Xie (WeChat Search Application Department, Tencent)*; Yalong Wang (Tencent); Rui Wang (Tencent); Yuanfu Lu (WeChat Search Application Department, Tencent); Yuanhang Zou (Tencent); Feng Xia (WeChat Search Application Department, Tencent); Leyu Lin<\/p>\n

Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies<\/h4>\n

Lu Cheng (Arizona State University)*; Ruocheng Guo (City University of Hong Kong); Huan Liu (Arizona State University)<\/p>\n

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising<\/h4>\n

Chao Wen (Nanjing University of Aeronautics and Astronautics)*; Miao Xu (Alibaba Group); Zhilin Zhang (Alibaba Group); ZHENZHE ZHENG (Shanghai Jiao Tong University); Yuhui Wang (Nanjing University of Aeronautics and Astronautics, China); Xiangyu Liu (Alibaba Group)<\/p>\n

Improving Knowledge Tracing with Collaborative Information<\/h4>\n

Ting Long (Shanghai Jiao Tong University)*; Jiarui Qin ( Shanghai Jiao Tong University); Jian Shen (Shanghai Jiao Tong University); Weinan Zhang (Shanghai Jiao Tong University); Wei Xia (Huawei Noah’s Ark Lab); Ruiming Tang (Huawei Noah’s Ark Lab); Xiuqia<\/p>\n

It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences are Dynamic<\/h4>\n

Jin Huang (University of Amsterdam); Harrie Oosterhuis (Radboud University)*; Maarten de Rijke (University of Amsterdam & Ahold Delhaize)<\/p>\n

An Ensemble Model for Combating Label Noise<\/h4>\n

Yangdi Lu (mcmaster university)*; Yang Bo (McMaster University); Wenbo He (McMaster University)<\/p>\n

MAVE: A Product Dataset for Multi-source Attribute Value Extraction<\/h4>\n

Li 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)<\/p>\n

HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling<\/h4>\n

Shen Gao (Peking University)*; Yuchi Zhang (Alibaba Group); Yongliang Wang (Alibaba group); Yang Dong (antgroup); Xiuying Chen (Peking University); Dongyan Zhao (Peking University); Rui Yan (Peking University)<\/p>\n

AdaptKT: A Domain Adaptable Method for Knowledge Tracing<\/h4>\n

Song Cheng (University of Science and Technology of China)*; Qi Liu (” University of Science and Technology of China, China”); Enhong Chen (University of Science and Technology of China); Kai Zhang (University of Science and Technology of China); Zhenya H<\/p>\n

Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model<\/h4>\n

Haruka Kiyohara (Tokyo Institute of Technology)*; Yuta Saito (Cornell University); Tatsuya Matsuhiro (Yahoo Japan Corporation); Yusuke Narita (Yale University); Nobuyuki Shimizu (Yahoo Japan Corporation); Yasuo Yamamoto (Yahoo! Japan)<\/p>\n

Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning<\/h4>\n

Xiaoyun Zhao (Sichuan University); Ning Yang (Sichuan University)*; Philip S Yu (UIC)<\/p>\n

Reconfiguration Problems on Submodular Functions<\/h4>\n

Naoto Ohsaka (NEC Corporation)*; Tatsuya Matsuoka (NEC Corporation)<\/p>\n

Sampling Multiple Nodes in Large Networks: Beyond Random Walks<\/h4>\n

Omri Ben-Eliezer (MIT)*; Talya Eden (MIT); Joel Oren (Bosch Center for Artificial Intelligence); Dimitris Fotakis (National Technical University of Athens)<\/p>\n

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information<\/h4>\n

Yu Zhang (University of Illinois at Urbana-Champaign)*; Shweta Garg (University of Illinois at Urbana-Champaign); Yu Meng (University of Illinois at Urbana-Champaign); Xiusi Chen (University of California, Los Angeles); Jiawei Han (UIUC)<\/p>\n

Cluster-Aware Heterogeneous Information Network Embedding<\/h4>\n

RayyanAhmad Khan (Technical University of Munich)*; Martin Kleinsteuber (Technical University of Munich)<\/p>\n

PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion<\/h4>\n

shijie 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)<\/p>\n

Translating Human Mobility Forecasting through Natural Language Generation<\/h4>\n

Hao Xue (RMIT University)*; Flora D. Salim (RMIT University); Yongli Ren (RMIT University); Charles Clarke (University of Waterloo)<\/p>\n

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation<\/h4>\n

Chenglin 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)<\/p>\n

ComGA:Community-Aware Attributed Graph Anomaly Detection<\/h4>\n

xuexiong luo (university)*; Jia Wu (Macquarie University); Amin Beheshti (Macquarie University); Jian Yang (Macquarie University); Xiankun Zhang (Tianjin University of Science and Technology); Yuan Wang (Tianjin University of Science and Technology)<\/p>\n

Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs<\/h4>\n

Hyeonjeong Shin (KAIST); Taehyung Kwon (KAIST); Neil Shah (Snap Inc.); Kijung Shin (KAIST)*<\/p>\n

Learning Fair Node Representations with Graph Counterfactual Fairness<\/h4>\n

Jing 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)<\/p>\n

Personalized Transfer of User Preferences for Cross-domain Recommendation<\/h4>\n

Yongchun 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 Intelligencem, Beihang University)<\/p>\n

Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources<\/h4>\n

Sixing Wu (Peking University)*; Minghui Wang (Peking University); Ying Li (Peking University); Dawei Zhang (Peking University); Zhonghai Wu (Peking University)<\/p>\n

CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction<\/h4>\n

Yudong Zhang (University of Science and Technology of China); Binwu Wang ( University of Science and Technology of China); ziyang shan (University of Science and Technology of China); Zhengyang Zhou (University of Science and Technology of China); Yang W<\/p>\n

A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion<\/h4>\n

Jianhuan 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); Yuho<\/p>\n

Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization<\/h4>\n

Shiyin 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)<\/p>\n

Assessing Algorithmic Biases for Musical Version Identification<\/h4>\n

Furkan Yesiler (Universitat Pompeu Fabra)*; Marius Miron (Universitat Pompeu Fabra); Joan Serra (Dolby Laboratories); Emilia Gomez (Universitat Pompeu Fabra)<\/p>\n

Ranking Friend Stories on Social Platforms with Edge-Contextual Local Graph Convolutions<\/h4>\n

Xianfeng Tang (Amazon)*; Yozen Liu (Snap Inc); Xinran He (Snap Inc.); Suhang Wang (Pennsylvania State University); Neil Shah (Snap Inc.)<\/p>\n

Harvesting More Answer Spans from Paragraph beyond Annotation<\/h4>\n

Qiaoben Bao (Fudan University); Jiangjie Chen (Fudan University); Linfang Liu (Fudan University); Jingping Liu (Fudan University); Jiaqing Liang (Fudan University); Yanghua Xiao (Fudan University)*<\/p>\n

Predicting Human Mobility via Graph Convolutional Dual-attentive Networks<\/h4>\n

Weizhen Dang (Tsinghua University); Haibo Wang (Tsinghua University)*; Shirui Pan (Monash University); Pei ZHANG (Beijing University of Posts and Telecommunications); Chuan Zhou (Chinese Academy of Sciences); Xin Chen (Tsinghua University); Jilong Wang (Tsinghua University)<\/p>\n

Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce<\/h4>\n

Xuesi Wang (Alibaba); Guangda Huzhang (Alibaba); Qianying Lin (Alibaba)*; Qing Da (Alibaba Group)<\/p>\n

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing<\/h4>\n

Chengkun 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)<\/p>\n

Scope-aware Re-ranking with Gated Attention in Feed<\/h4>\n

Hao 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)<\/p>\n

Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training<\/h4>\n

Jia Li (Peking University); Chongyang Tao (Microsoft)*; Huang Hu (Microsoft); Can Xu (microsoft); Yining Chen (Microsoft); Daxin Jiang (Microsoft, Beijing, China)<\/p>\n

Knowledge Enhanced Sports Game Summarization<\/h4>\n

Jiaan 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)<\/p>\n

How Do You Test a Test? A Multifaceted Examination of Significance Tests<\/h4>\n

Nicola Ferro (University of Padova)*; Mark Sanderson (RMIT University)<\/p>\n

Causal Mediation Analysis with Hidden Confounders<\/h4>\n

Lu Cheng (Arizona State University)*; Ruocheng Guo (City University of Hong Kong); Huan Liu (Arizona State University)<\/p>\n

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels<\/h4>\n

Enyan Dai (The Pennsylvania State University); Wei Jin (Michigan State University); Hui Liu (Michigan State University); Suhang Wang (Pennsylvania State University)*<\/p>\n

A Simple but Effective Bidirectional Framework for Relational Triple Extraction<\/h4>\n

Feiliang Ren (Northeastern University)*; Longhui Zhang (Northeastern University); Shujuan Yin (Northeastern University); Xiaofeng Zhao (Northeastern University); Shilei Liu (Northeastern University); Bochao Li (Northeastern University)<\/p>\n

Graph Logic Reasoning for Recommendation and Link Prediction<\/h4>\n

Hanxiong Chen (Rutgers University)*; Yunqi Li (Rutgers University); Shaoyun Shi (Tsinghua University); Shuchang Liu (Rutgers University); He Zhu (Rutgers University); Yongfeng Zhang (Rutgers University)<\/p>\n

Structure Meets Sequences: Predicting Network of Co-evolving Sequences<\/h4>\n

Yaojing Wang (NJU)*; Yuan Yao (Nanjing University); Feng Xu (Nanjing University); Yada Zhu (IBM Research); Hanghang Tong (University of Illinois at Urbana-Champaign)<\/p>\n

Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking<\/h4>\n

Chengzhen Fu (huawei)*; EnRui Hu (ZheJiang University); letian feng (huawei.com); Zhicheng Dou (Remin University of China); Yantao Jia (Huawei Technologies Co., Ltd); Lei Chen (Hong Kong University of Science and Technology); Fan Yu (Huawei Technologies Co., Ltd)<\/p>\n

Combinatorial Bandits under Strategic Manipulations<\/h4>\n

Jing 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)<\/p>\n

Joint Learning of E-commerce Search and Recommendation with A Unified Graph Neural Network<\/h4>\n

Kai Zhao (Alibaba Group)*; Yukun Zheng (Alibaba inc.); Tao Zhuang (Alibaba Group); Xiang Li (Alibaba Group); Xiaoyi Zeng (Alibaba Group)<\/p>\n

Improving Session Search by Modeling Multi-Granularity Historical Query Change<\/h4>\n

Xiaochen Zuo (Renmin University of China)*; Zhicheng Dou (Remin University of China)<\/p>\n

Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations<\/h4>\n

Yuning You (Texas A&M University)*; Tianlong Chen (Unversity of Texas at Austin); Zhangyang Wang (University of Texas at Austin); Yang Shen (Texas A&M University)<\/p>\n

Few-shot Link Prediction in Dynamic Networks<\/h4>\n

Cheng Yang (Beijing University of Posts and Telecommunications)*; Chunchen Wang (Beijing University of Posts and Telecommunications); Yuanfu Lu (WeChat Search Application Department, Tencent); Xumeng Gong (Beijing University of Posts and Telecommunication)<\/p>\n

MonLAD: Money Laundering Agents Detection in Transaction Streams<\/h4>\n

Xiaobing Sun (Institute of Computing Technology, CAS, China)*; Wenjie Feng (National University of Singapore ); Shenghua Liu (Institute of Computing Technology, CAS, China); Yuyang Xie (Tsinghua University); Siddharth Bhatia (National University of Singapore)<\/p>\n

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation<\/h4>\n

Yankai 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)<\/p>\n

External Evaluation of Ranking Models under Extreme Position-Bias<\/h4>\n

Yaron Fairstein (Technion); Elad Haramaty (Amazon); Arnon Lazerson (Amazon)*; Liane Lewin-Eytan (Amazon)<\/p>\n

`It’s on the tip of my tongue’: A new dataset for Known-Item Retrieval<\/h4>\n

Samarth Bhargav (University of Amsterdam)*; Georgios Sidiropoulos (University of Amsterdam); Evangelos Kanoulas (University of Amsterdam)<\/p>\n

Multi-Scale Variational Graph AutoEncoder for Link Prediction<\/h4>\n

Zhihao Guo (Shanxi University); Feng Wang ()*; Kaixuan Yao (Shanxi University); Jiye Liang (Shanxi University); Zhiqiang Wang (Shanxi University)<\/p>\n

Sentiment Analysis of Fashion Related Posts in Social Media<\/h4>\n

Yifei Yuan (The Chinese University of Hong Kong)*; Wai Lam (The Chinese University of Hong Kong)<\/p>\n

Learning Transferable Node Representations for Attribute Extraction from Web Documents<\/h4>\n

Yichao Zhou (UCLA)*; Ying Sheng (Google); Nguyen Vo (Google); Nick Edmonds (Google); Sandeep Tata (“Google, USA”)<\/p>\n

GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning<\/h4>\n

Minjia Zhang (Microsoft AI and Research)*; Wenhan Wang (Microsoft); Yuxiong He (Microsoft)<\/p>\n

Multi-Resolution Attention for Personalized Item Search<\/h4>\n

Furkan Kocayusufoglu (UC, Santa Barbara)*; Tao Wu (Google Research); Anima Singh (Google); Georgios Roumpos (Google Research); Heng-Tze Cheng (Google Research); Sagar Jain (Google); Ed H. Chi (Google); Ambuj K Singh (UCSB)<\/p>\n

Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning<\/h4>\n

Ziwei Zhu (Texas A&M University)*; James Caverlee (Texas A&M University)<\/p>\n

On Generalizing Static Node Embedding to Dynamic Settings<\/h4>\n

Di Jin (University of Michigan)*; Sungchul Kim (Adobe); Ryan Rossi (Adobe Research); Danai Koutra (U Michigan)<\/p>\n

KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification<\/h4>\n

Wei Ju (Peking University)*; Junwei Yang (Peking University); Meng Qu (Mila); Weiping Song (Peking University); Jianhao Shen (Peking University); Ming Zhang (Peking University)<\/p>\n

A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction<\/h4>\n

Chao Wang (Fudan University)*; Jingping Liu (Fudan University); Tianyi Zhuang (Fudan university); Jiahang Li (Fudan University); Juntao Liu (Fudan University); Yanghua Xiao (Fudan University); Wei Wang (” Fudan University, China”); Rui Xie (Meituan)<\/p>\n

Diversified Query Generation Guided by Knowledge Graph<\/h4>\n

Xinyao Shen (Fudan University)*; Jiangjie Chen (Fudan University); Jiaze Chen (Bytedance); Chun Zeng (Fudan University); Yanghua Xiao (Fudan University)<\/p>\n

Enumerating Fair Packages for Group Recommendations<\/h4>\n

Ryoma Sato (Kyoto University)*<\/p>\n

Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation<\/h4>\n

Ruihong Qiu (The University of Queensland)*; Zi Helen Huang (University of Queensland); Hongzhi Yin (The University of Queensland); Zijian Wang (University of Queensland)<\/p>\n

Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders<\/h4>\n

Juntao Zhang (Wuhan University)*; nanzhou lin (Wuhan University); Xuelong Zhang (Wuhan University); Wei Song (Wuhan University); Xiandi Yang (Wuhan University); Zhiyong Peng (” Wuhan University, China”)<\/p>\n

CAN: Feature Co-Action Network for Click-Through Rate Prediction<\/h4>\n

Weijie Bian (Alibaba Group); Kailun Wu (Alibaba Group); Lejian Ren (Alibaba Group); QI PI (Alibaba Group); Yujing Zhang (Alibaba Group); Can Xiao (Alibaba Group); Xiang-Rong Sheng (Alibaba Group); Yong-Nan Zhu (Alibaba Group)*; Zhangming Chan (Alibaba Group)<\/p>\n

VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering<\/h4>\n

Wanqi Ma (Shenzhen University); Xiancong Chen (Shenzhen University); Weike Pan (Shenzhen University)*; Zhong Ming (Shenzhen University)<\/p>\n

DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning<\/h4>\n

Yushan Zhu (Zhejiang University)*; Wen Zhang (Zhejiang University); Mingyang Chen (Zhejiang University); Hui Chen (Alibaba Group); Xu Cheng (Peking University); Wei Zhang (Alibaba Group); Huajun Chen (Zhejiang University)<\/p>\n

RLMob: Deep Reinforcement Learning for Successive Mobility Prediction<\/h4>\n

Ziyan Luo (Mila, McGill University)*; Congcong Miao (Tsinghua University)<\/p>\n

On Sampling Collaborative Filtering Datasets<\/h4>\n

Noveen Sachdeva (UC San Diego)*; Carole-Jean Wu (Facebook AI Research); Julian McAuley (UCSD)<\/p>\n

Evaluating Mixed-initiative Conversational Search Systems via User Simulation<\/h4>\n

Ivan Sekulic (USI); Mohammad Aliannejadi (University of Amsterdam)*; Fabio Crestani (Universita della Svizzera italiana)<\/p>\n

Understanding and Mitigating the Effect of Outliers in Fair Ranking<\/h4>\n

Fatemeh 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)<\/p>\n

Fast Semantic Matching via Flexible Contextualized Interaction<\/h4>\n

Wenwen Ye (Baidu Inc.)*; Yiding Liu (Baidu Inc.); Lixin Zou (Baidu Inc.); Hengyi Cai (Baidu Inc.); Suqi Cheng (Baidu Inc.); Shuaiqiang Wang (Baidu Inc.); Dawei Yin (Baidu)<\/p>\n

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval<\/h4>\n

Jingtao Zhan (Tsinghua University)*; Jiaxin Mao (Renmin University of China); Yiqun LIU (Tsinghua University); Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences); Min Zhang (Tsinghua University); Shaoping Ma (Tsinghua University)<\/p>\n

ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction<\/h4>\n

Liang Zhao (Chongqing University); Min Gao (Chongqing University)*; Zongwei Wang (Chongqing University)<\/p>\n

Query Interpretations from Entity-Linked Segmentations<\/h4>\n

Vaibhav Kasturia (MLU Halle-Wittenberg); Marcel Gohsen (Bauhaus-Universit\u00e4t Weimar); Matthias Hagen (Martin-Luther-Universit\u00e4t Halle-Wittenberg)*<\/p>\n

Efficient Reachability Query with Extreme Labeling Filter<\/h4>\n

Zhixiang Su (Nanyang Technological University)*; Di Wang (Nanyang Technological University); Xiaofeng Zhang (Harbin Institute of Technology (Shenzhen)); Lizhen Cui (ShanDong University); Chunyan Miao (NTU)<\/p>\n

Improving Personalized Search with Dual-Feedback Network<\/h4>\n

Chenlong Deng (Renmin University of China)*; Yujia Zhou (Renmin University of China); Zhicheng Dou (Remin University of China)<\/p>\n

A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting<\/h4>\n

Jiachuan Wang (HKUST); Lei Chen (Hong Kong University of Science and Technology)*; Charles Wang Ng (HKUST)<\/p>\n

The Multi-vehicle Ride-Sharing Problem<\/h4>\n

Xiangyu Guo (University at Buffalo)*; Kelin Luo (TU Eindhoven); Syamantak Das (IIIT Delhi); Chaitanya Agarwal (New York University)<\/p>\n

Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality Attention<\/h4>\n

Chengcheng Mai (Nanjing University)*; Mengchuan Qiu (Nanjing University); Kaiwen Luo (Nanjing University); ziyan peng (Nanjing University); Liu Jian (Nanjing University); Chunfeng Yuan (Nanjing University); Yihua Huang (Nanjing University)<\/p>\n

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs<\/h4>\n

Namyong Park (Carnegie Mellon University)*; Fuchen Liu (Microsoft); Purvanshi Mehta (Microsoft); Elena D Cristofor (Microsoft); Christos Faloutsos (CMU); Yuxiao Dong (Microsoft)<\/p>\n

Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly<\/h4>\n

Dan Kalifa (Technion – Israel Institute of Technology)*; Uriel Singer (Technion, Israel Institute of Technology); Ido Guy (eBay); Guy D. Rosin (Technion – Israel Institute of Technology); Kira Radinsky (Ebay)<\/p>\n

Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce<\/h4>\n

Uriel Singer (Technion, Israel Institute of Technology)*; Haggai Roitman (IBM Research Haifa); yotam eshel (eBay); Alexander Nus (eBay); Ido Guy (eBay); Or Levi (eBay); Idan Hasson (eBay ); Eliyahu Kiperwasser (eBay)<\/p>\n

POLE: Polarized Embedding for Signed Networks<\/h4>\n

Zexi Huang (University of California, Santa Barbara)*; Arlei Silva (Rice University); Ambuj K Singh (UCSB)<\/p>\n

Graph Few-shot Class-incremental Learning<\/h4>\n

Zhen Tan (Arizona State University)*; Kaize Ding (Arizona State University); Ruocheng Guo (City University of Hong Kong); Huan Liu (Arizona State University)<\/p>\n

ANTHEM: Attentive Hyperbolic Entity Model for Product Search<\/h4>\n

Nurendra Choudhary (Virginia Tech)*; Nikhil Rao (Amazon); Sumeet Katariya (Amazon); Karthik Subbian (Amazon); Chandan K Reddy (Virginia Tech)<\/p>\n

Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns<\/h4>\n

Xiaofei Xu (RMIT University)*; KE DENG (RMIT University); Xiuzhen Zhang (RMIT University)<\/p>\n

Triangle Graph Interest Network for Click-through Rate Prediction<\/h4>\n

Wensen Jiang (Alibaba Group)*; Yizhu Jiao (Fudan University); Qingqin Wang (Fudan University); Chuanming Liang (Alibaba Group); Lijie Guo (Alibaba Group); Yao Zhang (Fudan University); Zhijun Sun (Zhejiang Cainiao Supply Chain Management Co Ltd); Yun Xion<\/p>\n

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations<\/h4>\n

Yu Song (Huazhong University of Science and Technology); Shuai Sun (Huazhong University of Science and Technology); Jianxun Lian (Microsoft Research Asia); Hong Huang (Huazhong University of Science and Technology)*; Yu Li (University of Electronic Science and Technolgy of China)<\/p>\n

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks<\/h4>\n

Zihan Luo (Huazhong University of Science and Technology); Jianxun Lian (Microsoft Research Asia); Hong Huang (Huazhong University of Science and Technology)*; Hai Jin (Huazhong University of Science and Technology); Xing Xie (Microsoft Research Asia)<\/p>\n

ESC-GAN: Extending Spatial Coverage of Physical Sensors<\/h4>\n

Xiyuan Zhang (University of California, San Diego)*; Ranak Roy Chowdhury (University of California, San Diego); Jingbo Shang (University of California, San Diego); Rajesh Gupta (UC San Diego); Dezhi Hong (UC San Diego)<\/p>\n

Retrieving Black-box Optimal Images from External Databases<\/h4>\n

Ryoma Sato (Kyoto University)*<\/p>\n

ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic<\/h4>\n

Wenjun Ke (Institute Of Computing Technology Chinese Academy Of Sciences)*; Jinhua Gao (Institute of Computing Technology, Chinese Academy of Sciences); Huawei Shen (Institute of Computing Technology, Chinese Academy of Sciences); Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences)<\/p>\n

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks<\/h4>\n

Minjin Choi (Sungkyunkwan University); Jinhong Kim (Sungkyunkwan University ); Joonseok Lee (Google Research & Seoul National University); Hyunjung Shim (Yonsei University); Jongwuk Lee (Sungkyunkwan University)*<\/p>\n

Efficient Graph Convolution for Joint Node Representation Learning and Clustering<\/h4>\n

Chakib Fettal (Universit\u00e9 de Paris)*; Lazhar Labiod (LIPADE); Mohamed Nadif (Universit\u00e9 de Paris)<\/p>\n

MtCut: A Multi-Task Framework for Ranked List Truncation<\/h4>\n

Jianxin Li (Beihang University)*; Wang Dong (Beihang University); Tianchen Zhu (Beihang University); Qishan Zhu (Beihang University); Yuxin Wen (Beihang University); Piao Hongming (Beihang University)<\/p>\n

GAGE: Geometry Preserving Attributed Graph Embeddings<\/h4>\n

Charilaos Kanatsoulis (University of Pennsylvania)*; Nicholas D Sidiropoulos (University of Virginia)<\/p>\n

A Counterfactual Modeling Framework for Churn Prediction<\/h4>\n

Guozhen Zhang (Tsinghua University)*; Jinwei Zeng (Tsinghua University); Zhengyue Zhao (Tsinghua University); Depeng Jin (Tsinghua University); Yong Li (Tsinghua University)<\/p>\n

An Unsupervised Detection Framework for Chinese Jargons in Darknet<\/h4>\n

Liang Ke (Sichuan University)*; Xinyu Chen (Sichuan University); Haizhou Wang (Sichuan University)<\/p>\n

Directed Network Embedding with Virtual Negative Edges<\/h4>\n

Hyunsik Yoo (Hanyang University); Yeon-Chang Lee (Hanyang University); Kijung Shin (KAIST); Sang-Wook Kim (Hanyang University, Korea)*<\/p>\n

Choosing the Best of All Worlds: Accurate, Diverse, and Novel Recommendations through Multi-Objective Reinforcement Learning<\/h4>\n

Du_an Stamenkovi_ (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)<\/p>\n

Towards Understanding and Answering Comparative Questions<\/h4>\n

Alexander Bondarenko (Martin-Luther-Universit\u00e4t Halle-Wittenberg)*; Yamen Ajjour (Martin-Luther-Universit\u00e4t Halle-Wittenberg); Valentin Dittmar (Martin-Luther-Universit\u00e4t Halle-Wittenberg); Niklas Homann (Martin-Luther-Universit\u00e4t Halle-Wittenberg); Pavel<\/p>\n

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation<\/h4>\n

Rongrong Ma (University of Technology Sydney)*; Guansong Pang (University of Adelaide); Ling Chen (” University of Technology, Sydney, Australia”); Anton van den Hengel (University of Adelaide)<\/p>\n

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective<\/h4>\n

Lun Du (Microsoft Research)*; Xu Chen (Peking University); Fei Gao (Beijing Normal University); Qiang Fu (Microsoft Research Asia); Kunqing Xie (pku); Shi Han (Microsoft Research); Dongmei Zhang (Microsoft Research Asia)<\/p>\n

MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition<\/h4>\n

Bo Xu (Donghua University)*; Shizhou Huang (Donghua University); Chaofeng Sha (Fudan University); Hongya Wang (Donghua University)<\/p>\n

A Peep into the Future: Adversarial Future Encoding in Recommendation<\/h4>\n

Ruobing 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)<\/p>\n

Variational User Modeling with Slow and Fast Features<\/h4>\n

Ghazal Fazelnia (Spotify)*; Eric Simon (Spotify); Ian Anderson (Spotify); Benjamin Carterette (Spotify); Mounia Lalmas (Spotify)<\/p>\n

Modeling Users’ Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search<\/h4>\n

Zhifang Fan (Alibaba Group)*; Dan Ou (Alibaba Group); Yulong Gu (Alibaba Group); Bairan Fu (Nanjing University); Xiang Li (Alibaba Group); WenTian Bao (alibaba); Xin-yu Dai (Nanjing University); Xiaoyi Zeng (Alibaba Group); Tao Zhuang (Alibaba Group); Qin<\/p>\n

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling<\/h4>\n

qianqian zhang (Alibaba)*; Xinru Liao (Alibaba Group); Quan Liu (Alibaba Group); Jian Xu (Alibaba Group); Bo Zheng (Alibaba Group)<\/p>\n

Scalable Graph Topology Learning via Spectral Densification<\/h4>\n

Yongyu Wang (Michigan Technological University); Zhiqiang Zhao (Stevens Institute of Technology); Zhuo Feng (Stevens Institute of Technology)*<\/p>\n

Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks<\/h4>\n

Zihan Liu (Westlake University)*; Yun Luo (Westlake university); Zelin Zang (Westlake University); Stan Z. Li (Westlake University)<\/p>\n

Ef\ufb01cient two-stage label noise reduction for retrieval-based tasks<\/h4>\n

“Mengmeng Kuang (Tencent Holdings Ltd.)*; Weiyan Wang (HKUST); Zhenhong Chen (Tencent Holdings Ltd. ); Lie Kang (Tencent Holdings Ltd. ); Qiang Yan (Tencent)”<\/p>\n

Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction<\/h4>\n

Jinquan Hang (Peking University)*; Zheng Dong (Baidu); Hengshu Zhu (Baidu); Hongke Zhao (Tianjin University); Xin Song (Baidu Inc.); Peng Wang (Baidu Inc.)<\/p>\n

Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video Enhancement<\/h4>\n

Xiaotong 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)<\/p>\n

k-Clustering with Fair Outliers<\/h4>\n

Matteo Almanza (Sapienza University)*; Alessandro Epasto (Google); Alessandro Panconesi (Sapienza, University of Rome); Giuseppe Re (Sapienza University of Rome)<\/p>\n

DAME: Domain Adaptation for Matching Entities<\/h4>\n

Mohamed Trabelsi (Lehigh University)*; Jeff Heflin (Lehigh University); Jin Cao (Nokia Bell Labs)<\/p>\n

Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning<\/h4>\n

Yingqiang Ge (Rutgers University)*; Xiaoting Zhao (Etsy); Lucia Yu (Etsy); Saurabh Paul (Etsy); Diane Hu (Etsy); Yongfeng Zhang (Rutgers University)<\/p>\n

Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases<\/h4>\n

Philipp Christmann (MPI for Informatics)*; Rishiraj Saha Roy (Max Planck Institute for Informatics); Gerhard Weikum (Max-Planck-Institut fur Informatik)<\/p>\n

Using Conjunctions for Faster Disjunctive Top-k Queries<\/h4>\n

Michal Siedlaczek (New York University)*; Antonio Mallia (New York University); Torsten Suel (“New York Univ., USA”)<\/p>\n

Introducing the Expohedron for efficient Pareto-optimal fairness-utility amortizations in repeated rankings<\/h4>\n

Till Kletti (NaverLabs Europe)*; Jean-Michel Renders (NAVER LABS Europe); Patrick Loiseau (Inria)<\/p>\n

Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction<\/h4>\n

Suchana Datta (University College Dublin)*; Debasis Ganguly (University of Glasgow); Derek Greene (University College Dublin); Mandar Mitra (Indian Statistical Institute, Kolkata)<\/p>\n

Attributed Graph Modeling with Vertex Replacement Grammars<\/h4>\n

Satyaki Sikdar (University of Notre Dame); Neil Shah (Snap Inc.); Tim Weninger (University of Notre Dame)*<\/p>\n

Towards Fair Classifiers Without Sensitive Attributes: ExploringBiases in Related Features<\/h4>\n

Tianxiang Zhao (Penn State University)*; Enyan Dai (The Pennsylvania State University); Kai Shu (Illinois Institute of Technology); Suhang Wang (Pennsylvania State University)<\/p>\n

Supervised Advantage Actor-Critic for Recommender Systems<\/h4>\n

Xin Xin (Shandong University); Alexandros Karatzoglou (Google Research)*; Ioannis Arapakis (Telefonica Research); Joemon M Jose ( University of Glasgow)<\/p>\n

Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT<\/h4>\n

Yingrui Yang (University of California, Santa Barbara)*; Yifan Qiao (University of California, Santa Barbara); Jinjin Shao (UCSB); Xifeng Yan (University of California, Santa Barbara); Tao Yang (UC Santa Barbara)<\/p>\n

Wikipedia Reader Navigation: When Synthetic Data is Enough<\/h4>\n

Akhil Arora (EPFL)*; Martin Gerlach (Wikimedia Foundation); Tiziano Piccardi (EPFL); Alberto Garcia-Duran (EPFL); Robert West (EPFL)<\/p>\n

On the Connection Between Influence Maximization and A Practical Adversarial Attack on Graph Neural Networks<\/h4>\n

Jiaqi Ma (University of Michigan)*; Junwei Deng (Shanghai Jiao Tong University); Qiaozhu Mei (University of Michigan)<\/p>\n

Differentially Private Ensemble Classifiers for Data Streams<\/h4>\n

Lovedeep Singh Gondara (Simon Fraser University)*; Ke Wang (SFU); Ricardo Silva Carvalho (Simon Fraser University)<\/p>\n

Graph Embedding with Hierarchical Attentive Membership<\/h4>\n

Lu Lin (University of Virginia)*; Ethan Blaser (University of Virginia); Hongning Wang (University of Virginia)<\/p>\n

An Adaptive Unified Allocation Framework for Guaranteed Display Advertising<\/h4>\n

Xiao Cheng (Alibaba); Chuanren Liu (University of Tennessee)*; Liang Dai (Alibaba); Peng Zhang (Alibaba); Zhen Fang (Alibaba); Zhonglin Zu (alibaba)<\/p>\n

Linear, or Non-Linear, That is the Question!<\/h4>\n

Taeyong Kong (Yonsei University); Taeri Kim (Hanyang University); Jinsung Jeon (Yonsei university); Jeongwhan Choi (Yonsei University); Yeon-Chang Lee (Hanyang University); Noseong Park (Yonsei University, Korea)*; Sang-Wook Kim (Hanyang University, Korea)<\/p>\n

Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation<\/h4>\n

Lu Wang (East China Normal University)*; Ruiming Tang (Huawei Noah’s Ark Lab); Xiaofeng He (ECNU); Xiuqiang He (Huawei Noah\u2019s Ark Lab)<\/p>\n

Differential Query Semantic Analysis: Discovery of Explicit Interpretable Knowledge from E-Com Search Logs<\/h4>\n

Sahiti Labhishetty (University of Illinois Urbana-Champaign); ChengXiang Zhai (University of Illinois at Urbana-Champaign)*; Min Xie (Instacart); Lin Gong (WalmartLabs); Rahul Sharnagat (WalmartLabs); Satya Chembolu (WalmartLabs)<\/p>\n

Collaborative Curating for Discovery and Expansion of Visual Clusters<\/h4>\n

Dung Duy Le (College of Engineering and Computer Science, VinUniversity)*; Hady Lauw (Singapore Management University)<\/p>\n

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation<\/h4>\n

Yitong Pang (Tongji University)*; Lingfei Wu (JD.COM Silicon Valley Research Center); Qi Shen (Tongji University); Yiming Zhang (Tongji University); Zhihua Wei (Tongji University); Fangli Xu (College of William and Mary); Ethan Chang (Middlesex School); B<\/p>\n

Fast Learning of MNL Model From General Partial Rankings with Application to Network Formation Modeling<\/h4>\n

Jiaqi Ma (University of Michigan)*; Xingjian o Zhang (University of Michigan); Qiaozhu Mei (University of Michigan)<\/p>\n

A GNN-based Multi-task Learning Framework for Personalized Video Search<\/h4>\n

Li Zhang (University of Sheffield)*; Lei Shi ( Baidu); Jiashu Zhao (Wilfrid Laurier University); Juan Yang (Baidu); Tianshu Lyv (Baidu); Dawei Yin (Baidu); Haiping Lu (University of Sheffield)<\/p>\n

Interpretable Relation Learning on Heterogeneous Graphs<\/h4>\n

Qiang Yang (King Abdullah University of Science and Technology)*; Qiannan Zhang (King Abdullah University of Science and Technology); Chuxu Zhang (Brandeis University); Xiangliang Zhang (University of Notre Dame)<\/p>\n

Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations<\/h4>\n

Ganeshan Malhotra (Lcs2); Abdul Waheed (Maharaja Agrasen Institute of Technology, New Delhi); ASEEM SRIVASTAVVA (IIIT Delhi)*; Md Shad Akhtar (IIIT Delhi); Tanmoy Chakraborty (Indraprastha Institute of Information Technology Delhi (IIIT-D), India )<\/p>\n

AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss<\/h4>\n

“Cangqi Zhou (Nanjing University of Science and Technology)*; Hui Chen (Nanjing University of Science and Technology ); Jing Zhang (Nanjing University of Science and Technology); Qianmu Li (Nanjing University of Science and Technology ); Dianming Hu (Sense”<\/p>\n

Semi-supervised Stance Detection of Tweets Via Distant Network Supervision<\/h4>\n

Subhabrata Dutta (Jadavpur University)*; Samiya Caur (IIIT-Delhi); Soumen Chakrabarti (IIT Bombay); Tanmoy Chakraborty (Indraprastha Institute of Information Technology Delhi (IIIT-D),India )<\/p>\n

PLdFe-RR:Personalized Long-distance Fuel-efficient Route Recommendation Based On Historical Trajectory<\/h4>\n

Zhan Wang (Shandong University); Zhaohui Peng (Shandong University)*; Senzhang Wang (Central South University); Qiao Song (Shandong University)<\/p>\n

Uncovering Causal Effects of Online Short Videos on Consumer Behaviors<\/h4>\n

Ziqi Tan (Zhejiang University)*; Shengyu Zhang (Zhejiang University); Nuanxin Hong (Zhejiang University); Kun Kuang (Zhejiang University); Yifan Yu (Zhejiang University); Zhou Zhao (Zhejiang University); Jin Yu (Alibaba Group); Hongxia Yang (Alibaba Group)<\/p>\n

C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System<\/h4>\n

Yuanhang Zhou (Renmin University of China)*; Kun Zhou (Renmin University of China); Wayne Xin Zhao (Renmin University of China); Cheng Wang (Kuaishou Inc); Peng Jiang (Kuaishou Inc.); He Hu (Renmin University of China)<\/p>\n

Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation<\/h4>\n

Sung-Jun Park (Hanyang University); Dong-Kyu Chae (Hanyang University); Hong-Kyun Bae (Hanyang University); Sumin Park (Hanyang University); Sang-Wook Kim (Hanyang University, Korea)*<\/p>\n

A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation<\/h4>\n

Xiangsheng Li (Tsinghua University)*; Jiaxin Mao (Renmin University of China); Weizhi Ma (Tsinghua University); Zhijing Wu (Tsinghua University); Yiqun LIU (Tsinghua University); Min Zhang (Tsinghua University); Shaoping Ma (Tsinghua University); Zhaowei<\/p>\n

Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction<\/h4>\n

Zhenyun Hao (Shandong University); Jianing Hao (Shandong University); Zhaohui Peng (Shandong University)*; Senzhang Wang (Central South University); Philip S Yu (UIC); Xue Wang (Shandong University); Jian Wang (Shandong University)<\/p>\n

Keyword Assisted Embedded Topic Model<\/h4>\n

Bahareh Harandizadeh (University of Southern California)*; J. Hunter Priniski (University of California, Los Angeles); Fred Morstatter (University of Southern California)<\/p>\n

The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?<\/h4>\n

Jin Yao Chin (Nanyang Technological University)*; Yile Chen (Nanyang Technological University); Gao Cong (Nanyang Technological Univesity)<\/p>\n

Profiling the Design Space for Graph Neural Networks based Collaborative Filtering<\/h4>\n

Zhenyi Wang (Beijing University of Posts and Telecommunications)*; Huan Zhao (4Paradigm); Chuan Shi (Beijing University of Posts and Telecommunications)<\/p>\n

Towards Unbiased and Robust Causal Ranking for Recommender Systems<\/h4>\n

Teng Xiao (Pennsylvania State University)*; Suhang Wang (Pennsylvania State University)<\/p>\n

Community Trend Prediction on Heterogeneous Graph in E-commerce<\/h4>\n

Jiahao Yuan (East China Normal University)*; Zhao Li (Alibaba Group); Pengcheng Zou (Alibaba Group); Xuan Gao (Alibaba Group); Jinwei Pan (East China Normal University); Wendi Ji (East China Normal University); Xiaoling Wang (East China Normal University)<\/p>\n

Informed Multi-context Entity Alignment<\/h4>\n

KEXUAN XIN (The University of Queensland)*; Zequn Sun (Nanjing University); Wen Hua (The University of Queensland); Wei Hu (Nanjing University); Xiaofang Zhou (The Hong Kong University of Science and Technology)<\/p>\n

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation<\/h4>\n

Jiayan Guo (Peking University)*; Yaming Yang (MSRA); Xiangchen Song (Carnegie Mellon University); Yuan Zhang (Peking University); Yujing Wang (MSRA); Jing Bai (Microsoft); Yan Zhang (Peking University)<\/p>\n

Diversified Subgraph Query Generation with Group Fairness<\/h4>\n

Sheng Guan (Case Western Reserve University); Hanchao Ma (Case Western Reserve University)*; Yinghui Wu (Case Western Reserve University)<\/p>\n

Learning Relevant Questions for Conversational Product Search using Reinforcement Learning<\/h4>\n

Ali Montazeralghaem (University of Massachusetts Amherst)*; James Allan (University of Massachusetts Amherst)<\/p>\n

Contrastive Meta Learning with Behavior Multiplicity for Recommendation<\/h4>\n

Wei Wei (South China University of Technology); Chao Huang (University of Hong Kong)*; Lianghao Xia (South China University of Technology); Yong Xu (South China University of Technology); Jiashu Zhao (Wilfrid Laurier University); Dawei Yin (Baidu)<\/p>\n

A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism<\/h4>\n

Zhuo Chen (Fudan University)*; Baoxi Liu (Fudan University); Peng Zhang (Fudan University); Tun Lu (Fudan University); Ning Gu (Fudan University)<\/p>\n

Time Masking for Temporal Language Models<\/h4>\n

Guy D. Rosin (Technion)*; Ido Guy (eBay); Kira Radinsky (Ebay)<\/p>\n

MTLVS: A Multi-Task Framework to Verify and Summarize Crisis-Related Microblogs<\/h4>\n

Rajdeep 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 University Hannover)<\/p>","protected":false},"excerpt":{"rendered":"

Long Short-Term Temporal Meta-learning in Online Recommendation Ruobing Xie (WeChat Search Application Department, Tencent)*; Yalong Wang (Tencent); Rui Wang (Tencent); Yuanfu Lu (WeChat Search Application Department, Tencent); Yuanhang Zou (Tencent); Feng Xia (WeChat Search Application Department, Tencent); Leyu Lin Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies Lu Cheng (Arizona State University)*; Ruocheng … <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"spay_email":"","footnotes":""},"class_list":["post-717","page","type-page","status-publish","hentry","latest_post"],"_links":{"self":[{"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/pages\/717","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/comments?post=717"}],"version-history":[{"count":5,"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/pages\/717\/revisions"}],"predecessor-version":[{"id":770,"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/pages\/717\/revisions\/770"}],"wp:attachment":[{"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/media?parent=717"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}