{"id":1218,"date":"2022-01-28T00:22:43","date_gmt":"2022-01-28T00:22:43","guid":{"rendered":"https:\/\/www.wsdm-conference.org\/2022\/?post_type=mp-event&p=1218"},"modified":"2022-04-08T08:41:58","modified_gmt":"2022-04-08T15:41:58","slug":"poster-session-1","status":"publish","type":"mp-event","link":"https:\/\/www.wsdm-conference.org\/2022\/timetable\/event\/poster-session-1\/","title":{"rendered":"Poster Session #1"},"content":{"rendered":"\n

#1 Web mining \/ Web Search (I)<\/strong><\/p>\n\n\n\n

Paper Title<\/strong><\/td>Authors<\/strong><\/td><\/tr>
`It’s on the tip of my tongue’: A new dataset for Known-Item Retrieval<\/td>Samarth Bhargav (University of Amsterdam)*; Georgios Sidiropoulos (University of Amsterdam); Evangelos Kanoulas (University of Amsterdam)<\/td><\/tr>
Improving Personalized Search with Dual-Feedback Network<\/td>Chenlong Deng (Renmin University of China)*; Yujia Zhou (Renmin University of China); Zhicheng Dou (Remin University of China)<\/td><\/tr>
ANTHEM: Attentive Hyperbolic Entity Model for Product Search<\/td>Nurendra Choudhary (Virginia Tech)*; Nikhil Rao (Amazon); Sumeet Katariya (Amazon); Karthik Subbian (Amazon); Chandan K Reddy (Virginia Tech)<\/td><\/tr>
Modeling Users’ Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search<\/td>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); Qingwen Liu (Alibaba Group )<\/td><\/tr>
Differential Query Semantic Analysis: Discovery of Explicit Interpretable Knowledge from E-Com Search Logs<\/td>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)<\/td><\/tr>
A GNN-based Multi-task Learning Framework for Personalized Video Search<\/td>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)<\/td><\/tr>
A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation<\/td>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 Wang (Noah`s Ark Lab, Huawei); Xiuqiang He (Huawei Noah’s Ark Lab)<\/td><\/tr>
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model<\/td>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)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

#2 Web mining \/ Web Search (II)<\/strong><\/p>\n\n\n\n

Paper Title<\/strong><\/td>Authors<\/strong><\/td><\/tr>
How Do You Test a Test? A Multifaceted Examination of Significance Tests<\/td>Nicola Ferro (University of Padova)*; Mark Sanderson (RMIT University)<\/td><\/tr>
GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning<\/td>Minjia Zhang (Microsoft AI and Research)*; Wenhan Wang (Microsoft); Yuxiong He (Microsoft)<\/td><\/tr>
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval<\/td>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)<\/td><\/tr>
Query Interpretations from Entity-Linked Segmentations<\/td>Vaibhav Kasturia (MLU Halle-Wittenberg); Marcel Gohsen (Bauhaus-Universit\u00e4t Weimar); Matthias Hagen (Martin-Luther-Universit\u00e4t Halle-Wittenberg)*<\/td><\/tr>
Towards Understanding and Answering Comparative Questions<\/td>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 Braslavski (Ural Federal University); Matthias Hagen (Martin-Luther-Universit\u00e4t Halle-Wittenberg)<\/td><\/tr>
Ef\ufb01cient two-stage label noise reduction for retrieval-based tasks<\/td>Mengmeng Kuang (Tencent Holdings Ltd.)*; Weiyan Wang (HKUST); Zhenhong Chen (Tencent Ltd.); lie kang (tencent); Qiang Yan (Tencent)<\/td><\/tr>
Using Conjunctions for Faster Disjunctive Top-k Queries<\/td>Michal Siedlaczek (New York University)*; Antonio Mallia (New York University); Torsten Suel (“New York Univ., USA”)<\/td><\/tr>
Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT<\/td>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)<\/td><\/tr>
Diversified Subgraph Query Generation with Group Fairness<\/td>Sheng Guan (Case Western Reserve University); Hanchao Ma (Case Western Reserve University)*; Yinghui Wu (Case Western Reserve University)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

#3 Web mining (I)<\/strong><\/p>\n\n\n\n

Paper Title<\/strong><\/td>Authors<\/strong><\/td><\/tr>
Fast Semantic Matching via Flexible Contextualized Interaction<\/td>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)<\/td><\/tr>
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs<\/td>Namyong Park (Carnegie Mellon University)*; Fuchen Liu (Microsoft); Purvanshi Mehta (Microsoft); Elena D Cristofor (Microsoft); Christos Faloutsos (CMU); Yuxiao Dong (Microsoft)<\/td><\/tr>
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly<\/td>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)<\/td><\/tr>
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce<\/td>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)<\/td><\/tr>
Triangle Graph Interest Network for Click-through Rate Prediction<\/td>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 Xiong (Fudan University); Yangyong Zhu (Fudan University)<\/td><\/tr>
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations<\/td>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 Technology of China); Hai Jin (Huazhong University of Science and Technology); Xing Xie (Microsoft Research Asia)<\/td><\/tr>
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks<\/td>Minjin Choi (Sungkyunkwan University); Jinhong Kim (Sungkyunkwan University ); Joonseok Lee (Google Research & Seoul National University); Hyunjung Shim (Yonsei University); Jongwuk Lee (Sungkyunkwan University)*<\/td><\/tr>
Efficient Graph Convolution for Joint Node Representation Learning and Clustering<\/td>Chakib Fettal (Universit\u00e9 de Paris)*; Lazhar Labiod (LIPADE); Mohamed Nadif (Universit\u00e9 de Paris)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

#4 Web mining (II)<\/strong><\/p>\n\n\n\n

Paper Title<\/strong><\/td>Authors<\/strong><\/td><\/tr>
Long Short-Term Temporal Meta-learning in Online Recommendation<\/td>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 (WeChat Search Application Department, Tencent)<\/td><\/tr>
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies<\/td>Lu Cheng (Arizona State University)*; Ruocheng Guo (City University of Hong Kong); Huan Liu (Arizona State University)<\/td><\/tr>
Improving Knowledge Tracing with Collaborative Information<\/td>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); Xiuqiang He (Huawei Noah’s Ark Lab); Yong Yu (Shanghai Jiao Tong University)<\/td><\/tr>
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences are Dynamic<\/td>Jin Huang (University of Amsterdam); Harrie Oosterhuis (Radboud University)*; Maarten de Rijke (University of Amsterdam & Ahold Delhaize)<\/td><\/tr>
An Ensemble Model for Combating Label Noise<\/td>Yangdi Lu (mcmaster university)*; Yang Bo (McMaster University); Wenbo He (McMaster University)<\/td><\/tr>
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling<\/td>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)<\/td><\/tr>
AdaptKT: A Domain Adaptable Method for Knowledge Tracing<\/td>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 Huang (University of Science and Technology of China); Yu Yin (University of Science and Technology of China); Xiaoqing Huang (University of Science and Technology of China); Yu Su (iFLYTEK Research)<\/td><\/tr>
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information<\/td>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)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

#5 Social Networks \/ Web mining (I)<\/strong><\/p>\n\n\n\n

Paper Title<\/strong><\/td>Authors<\/strong><\/td><\/tr>
On Generalizing Static Node Embedding to Dynamic Settings<\/td>Di Jin (University of Michigan)*; Sungchul Kim (Adobe); Ryan Rossi (Adobe Research); Danai Koutra (U Michigan)<\/td><\/tr>
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification<\/td>Wei Ju (Peking University)*; Junwei Yang (Peking University); Meng Qu (Mila); Weiping Song (Peking University); Jianhao Shen (Peking University); Ming Zhang (Peking University)<\/td><\/tr>
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic<\/td>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)<\/td><\/tr>
An Unsupervised Detection Framework for Chinese Jargons in Darknet<\/td>Liang Ke (Sichuan University)*; Xinyu Chen (Sichuan University); Haizhou Wang (Sichuan University)<\/td><\/tr>
On the Connection Between Influence Maximization and A Practical Adversarial Attack on Graph Neural Networks<\/td>Jiaqi Ma (University of Michigan)*; Junwei Deng (Shanghai Jiao Tong University); Qiaozhu Mei (University of Michigan)<\/td><\/tr>
Fast Learning of MNL Model From General Partial Rankings with Application to Network Formation Modeling<\/td>Jiaqi Ma (University of Michigan)*; Xingjian o Zhang (University of Michigan); Qiaozhu Mei (University of Michigan)<\/td><\/tr>
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision<\/td>Subhabrata Dutta (Jadavpur University)*; Samiya Caur (IIIT-Delhi); Soumen Chakrabarti (IIT Bombay); Tanmoy Chakraborty (Indraprastha Institute of Information Technology Delhi (IIIT-D),India )<\/td><\/tr>
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering<\/td>Zhenyi Wang (Beijing University of Posts and Telecommunications)*; Huan Zhao (4Paradigm); Chuan Shi (Beijing University of Posts and Telecommunications)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

#6 Web of Things<\/strong><\/p>\n\n\n\n

Paper Title<\/strong><\/td>Authors<\/strong><\/td><\/tr>
A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting<\/td>Jiachuan Wang (HKUST); Lei Chen (Hong Kong University of Science and Technology)*; Charles Wang Ng (HKUST)<\/td><\/tr>
CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction<\/td>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 Wang (University of Science and Technology of China)*<\/td><\/tr>
Translating Human Mobility Forecasting through Natural Language Generation<\/td>Hao Xue (RMIT University)*; Flora D. Salim (RMIT University); Yongli Ren (RMIT University); Charles Clarke (University of Waterloo)<\/td><\/tr>
Predicting Human Mobility via Graph Convolutional Dual-attentive Networks<\/td>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)<\/td><\/tr>
RLMob: Deep Reinforcement Learning for Successive Mobility Prediction<\/td>Ziyan Luo (Mila, McGill University)*; Congcong Miao (Tsinghua University)<\/td><\/tr>
The Multi-vehicle Ride-Sharing Problem<\/td>Xiangyu Guo (University at Buffalo)*; Kelin Luo (TU Eindhoven); Syamantak Das (IIIT Delhi); Chaitanya Agarwal (New York University)<\/td><\/tr>
ESC-GAN: Extending Spatial Coverage of Physical Sensors<\/td>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)<\/td><\/tr>
An Adaptive Unified Allocation Framework for Guaranteed Display Advertising<\/td>Xiao Cheng (Alibaba); Chuanren Liu (University of Tennessee)*; Liang Dai (Alibaba); Peng Zhang (Alibaba); Zhen Fang (Alibaba); Zhonglin Zu (alibaba)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

#7 Social Networks<\/strong><\/p>\n\n\n\n

Paper Title<\/strong><\/td>Authors<\/strong><\/td><\/tr>
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels<\/td>Enyan Dai (The Pennsylvania State University); Wei Jin (Michigan State University); Hui Liu (Michigan State University); Suhang Wang (Pennsylvania State University)*<\/td><\/tr>
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations<\/td>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)<\/td><\/tr>
Few-shot Link Prediction in Dynamic Networks<\/td>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 Telecommunicationsb); Chuan Shi (Beijing University of Posts and Telecommunications); Wei Wang (WeChat Search Application Department, Tencent); Xu Zhang (WeChat Search Application Department, Tencent)<\/td><\/tr>
Multi-Scale Variational Graph AutoEncoder for Link Prediction<\/td>Zhihao Guo (Shanxi University); Feng Wang ()*; Kaixuan Yao (Shanxi University); Jiye Liang (Shanxi University); Zhiqiang Wang (Shanxi University)<\/td><\/tr>
Efficient Reachability Query with Extreme Labeling Filter<\/td>Zhixiang Su (Nanyang Technological University)*; Di Wang (Nanyang Technological University); Xiaofeng Zhang (Harbin Institute of Technology (Shenzhen)); Lizhen Cui (ShanDong University); Chunyan Miao (NTU)<\/td><\/tr>
POLE: Polarized Embedding for Signed Networks<\/td>Zexi Huang (University of California, Santa Barbara)*; Arlei Silva (Rice University); Ambuj K Singh (UCSB)<\/td><\/tr>
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks<\/td>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)<\/td><\/tr>
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective<\/td>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)<\/td><\/tr>
Graph Embedding with Hierarchical Attentive Membership<\/td>Lu Lin (University of Virginia)*; Ethan Blaser (University of Virginia); Hongning Wang (University of Virginia)<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

#1 Web mining \/ Web Search (I) Paper Title Authors `It’s on the tip of my tongue’: A new dataset for Known-Item Retrieval Samarth Bhargav (University of Amsterdam)*; Georgios Sidiropoulos (University of Amsterdam); Evangelos Kanoulas (University of Amsterdam) Improving Personalized Search with Dual-Feedback Network Chenlong Deng (Renmin University of China)*; Yujia Zhou (Renmin University of … <\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","mp-event_category":[],"mp-event_tag":[],"class_list":["post-1218","mp-event","type-mp-event","status-publish","hentry","latest_post","mp-event-item"],"_links":{"self":[{"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/mp-event\/1218","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/mp-event"}],"about":[{"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/types\/mp-event"}],"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=1218"}],"wp:attachment":[{"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/media?parent=1218"}],"wp:term":[{"taxonomy":"mp-event_category","embeddable":true,"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/mp-event_category?post=1218"},{"taxonomy":"mp-event_tag","embeddable":true,"href":"https:\/\/www.wsdm-conference.org\/2022\/wp-json\/wp\/v2\/mp-event_tag?post=1218"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}