Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID15th WSDM 2022: Virtual Event / Tempe, AZ, USA
- K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang:
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022. ACM 2022, ISBN 978-1-4503-9132-0
Keynote Talks
- Ricardo Baeza-Yates:
Ethical Challenges in AI. 1-2 - Yejin Choi:
Knowledge is Power: Symbolic Knowledge Distillation, Commonsense Morality, & Multimodal Script Knowledge. 3 - George Karypis:
Graph Neural Network Research at AWS AI. 4
Research Papers
- Matteo Almanza, Alessandro Epasto, Alessandro Panconesi, Giuseppe Re:
k-Clustering with Fair Outliers. 5-15 - Akhil Arora, Martin Gerlach, Tiziano Piccardi, Alberto García-Durán, Robert West:
Wikipedia Reader Navigation: When Synthetic Data Is Enough. 16-26 - Qiaoben Bao, Jiangjie Chen, Linfang Liu, Jingping Liu, Jiaqing Liang, Yanghua Xiao:
Harvesting More Answer Spans from Paragraph beyond Annotation. 27-36 - Omri Ben-Eliezer, Talya Eden, Joel Oren, Dimitris Fotakis:
Sampling Multiple Nodes in Large Networks: Beyond Random Walks. 37-47 - Samarth Bhargav
, Georgios Sidiropoulos, Evangelos Kanoulas:
'It's on the tip of my tongue': A new Dataset for Known-Item Retrieval. 48-56 - Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng:
CAN: Feature Co-Action Network for Click-Through Rate Prediction. 57-65 - Alexander Bondarenko, Yamen Ajjour, Valentin Dittmar, Niklas Homann, Pavel Braslavski, Matthias Hagen:
Towards Understanding and Answering Comparative Questions. 66-74 - Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang:
Graph Collaborative Reasoning. 75-84 - Zhuo Chen, Baoxi Liu, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu:
A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism. 85-93 - Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King:
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. 94-102 - Lu Cheng, Ruocheng Guo, Huan Liu:
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. 103-112 - Lu Cheng, Ruocheng Guo, Huan Liu:
Causal Mediation Analysis with Hidden Confounders. 113-122 - Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su:
AdaptKT: A Domain Adaptable Method for Knowledge Tracing. 123-131 - Xiao Cheng, Chuanren Liu, Liang Dai, Peng Zhang, Zhen Fang, Zhonglin Zu:
An Adaptive Unified Allocation Framework for Guaranteed Display Advertising. 132-140 - Jin Yao Chin, Yile Chen, Gao Cong:
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? 141-149 - Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks. 150-160 - Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
ANTHEM: Attentive Hyperbolic Entity Model for Product Search. 161-171 - Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum:
Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases. 172-180 - Enyan Dai, Wei Jin, Hui Liu, Suhang Wang:
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. 181-191 - Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang:
Predicting Human Mobility via Graph Convolutional Dual-attentive Networks. 192-200 - Suchana Datta, Debasis Ganguly, Derek Greene, Mandar Mitra:
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction. 201-209 - Chenlong Deng, Yujia Zhou, Zhicheng Dou:
Improving Personalized Search with Dual-Feedback Network. 210-218 - Jing Dong, Ke Li, Shuai Li, Baoxiang Wang:
Combinatorial Bandits under Strategic Manipulations. 219-229 - Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang:
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. 230-240 - Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty:
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision. 241-251 - Yaron Fairstein, Elad Haramaty, Arnon Lazerson, Liane Lewin-Eytan:
External Evaluation of Ranking Models under Extreme Position-Bias. 252-261 - Zhifang Fan, Dan Ou, Yulong Gu, Bairan Fu, Xiang Li, Wentian Bao, Xin-Yu Dai, Xiaoyi Zeng, Tao Zhuang, Qingwen Liu:
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search. 262-270 - Ghazal Fazelnia, Eric Simon, Ian Anderson, Benjamin A. Carterette, Mounia Lalmas:
Variational User Modeling with Slow and Fast Features. 271-279 - Nicola Ferro, Mark Sanderson:
How Do You Test a Test?: A Multifaceted Examination of Significance Tests. 280-288 - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Efficient Graph Convolution for Joint Node Representation Learning and Clustering. 289-297 - Chengzhen Fu, Enrui Hu, Letian Feng, Zhicheng Dou, Yantao Jia, Lei Chen, Fan Yu, Zhao Cao:
Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking. 298-306 - Shen Gao, Yuchi Zhang, Yongliang Wang, Yang Dong, Xiuying Chen, Dongyan Zhao, Rui Yan:
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling. 307-315 - Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang:
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. 316-324 - Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho:
Differentially Private Ensemble Classifiers for Data Streams. 325-333 - Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang:
Multi-Scale Variational Graph AutoEncoder for Link Prediction. 334-342 - Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang:
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. 343-352 - Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu:
Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction. 353-362 - Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, Jian Wang:
Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction. 363-371 - Bahareh Harandizadeh, J. Hunter Priniski, Fred Morstatter:
Keyword Assisted Embedded Topic Model. 372-380 - Jin Huang, Harrie Oosterhuis, Maarten de Rijke:
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. 381-389 - Zexi Huang, Arlei Silva, Ambuj K. Singh:
POLE: Polarized Embedding for Signed Networks. 390-400 - Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu:
Triangle Graph Interest Network for Click-through Rate Prediction. 401-409 - Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
On Generalizing Static Node Embedding to Dynamic Settings. 410-420 - Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang:
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. 421-429 - Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky:
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. 430-438 - Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
GAGE: Geometry Preserving Attributed Graph Embeddings. 439-448 - Vaibhav Kasturia, Marcel Gohsen, Matthias Hagen:
Query Interpretations from Entity-Linked Segmentations. 449-457 - Liang Ke, Xinyu Chen, Haizhou Wang:
An Unsupervised Detection Framework for Chinese Jargons in the Darknet. 458-466 - Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. 467-475 - Rayyan Ahmad Khan, Martin Kleinsteuber:
Cluster-Aware Heterogeneous Information Network Embedding. 476-486 - Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto:
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. 487-497 - Till Kletti, Jean-Michel Renders, Patrick Loiseau:
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings. 498-507 - Furkan Kocayusufoglu, Tao Wu, Anima Singh, Georgios Roumpos, Heng-Tze Cheng, Sagar Jain, Ed H. Chi, Ambuj K. Singh:
Multi-Resolution Attention for Personalized Item Search. 508-516 - Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim:
Linear, or Non-Linear, That is the Question! 517-525 - Mengmeng Kuang, Weiyan Wang, Zhenhong Chen, Lie Kang, Qiang Yan:
Efficient Two-stage Label Noise Reduction for Retrieval-based Tasks. 526-534 - Sahiti Labhishetty, ChengXiang Zhai, Min Xie, Lin Gong, Rahul Sharnagat, Satya Chembolu:
Differential Query Semantic Analysis: Discovery of Explicit Interpretable Knowledge from E-Com Search Logs. 535-543 - Dung D. Le, Hady W. Lauw:
Collaborative Curating for Discovery and Expansion of Visual Clusters. 544-552 - Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He:
A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. 553-561 - Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang:
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. 562-570 - Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu:
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. 571-581 - Lu Lin, Ethan Blaser, Hongning Wang:
Graph Embedding with Hierarchical Attentive Membership. 582-590 - Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li:
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. 591-598 - Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu:
Improving Knowledge Tracing with Collaborative Information. 599-607 - Yangdi Lu, Yang Bo, Wenbo He:
An Ensemble Model for Combating Label Noise. 608-617 - Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, Lijun Zhang:
Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization. 618-627 - Kelin Luo, Chaitanya Agarwal, Syamantak Das, Xiangyu Guo:
The Multi-vehicle Ride-Sharing Problem. 628-637 - Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie:
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. 638-647 - Ziyan Luo, Congcong Miao:
RLMob: Deep Reinforcement Learning for Successive Mobility Prediction. 648-656 - Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue:
ComGA: Community-Aware Attributed Graph Anomaly Detection. 657-665 - Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming:
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. 666-674 - Jiaqi Ma, Junwei Deng, Qiaozhu Mei:
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. 675-685 - Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu:
Diversified Subgraph Query Generation with Group Fairness. 686-694 - Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. 695-703 - Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel:
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. 704-714 - Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei:
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. 715-725 - Chengcheng Mai, Mengchuan Qiu, Kaiwen Luo, Ziyan Peng, Jian Liu, Chunfeng Yuan, Yihua Huang:
Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality Attention. 726-734 - Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md. Shad Akhtar, Tanmoy Chakraborty:
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations. 735-745 - Ali Montazeralghaem, James Allan:
Learning Relevant Questions for Conversational Product Search using Deep Reinforcement Learning. 746-754 - Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly:
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. 755-763 - Naoto Ohsaka, Tatsuya Matsuoka:
Reconfiguration Problems on Submodular Functions. 764-774 - Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei:
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. 775-783 - Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim:
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation. 784-793 - Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong:
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. 794-803 - Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu:
Scope-aware Re-ranking with Gated Attention in Feed. 804-812 - Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang:
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. 813-823 - Feiliang Ren, Longhui Zhang, Xiaofeng Zhao, Shujuan Yin, Shilei Liu, Bochao Li:
A Simple but Effective Bidirectional Framework for Relational Triple Extraction. 824-832 - Guy D. Rosin, Ido Guy, Kira Radinsky:
Time Masking for Temporal Language Models. 833-841 - Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
On Sampling Collaborative Filtering Datasets. 842-850 - Fatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
Understanding and Mitigating the Effect of Outliers in Fair Ranking. 861-869 - Ryoma Sato:
Enumerating Fair Packages for Group Recommendations. 870-878 - Ryoma Sato:
Retrieving Black-box Optimal Images from External Databases. 879-887 - Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani:
Evaluating Mixed-initiative Conversational Search Systems via User Simulation. 888-896 - Xinyao Shen, Jiangjie Chen, Jiaze Chen, Chun Zeng, Yanghua Xiao:
Diversified Query Generation Guided by Knowledge Graph. 897-907 - Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin:
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. 908-916 - Michal Siedlaczek, Antonio Mallia, Torsten Suel:
Using Conjunctions for Faster Disjunctive Top-k Queries. 917-927 - Satyaki Sikdar, Neil Shah, Tim Weninger:
Attributed Graph Modeling with Vertex Replacement Grammars. 928-936 - Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser:
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce. 937-946 - Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie:
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. 947-956 - Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas:
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. 957-965 - Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao:
Efficient Reachability Query with Extreme Labeling Filter. 966-975 - Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. 976-986 - Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Graph Few-shot Class-incremental Learning. 987-996 - Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu:
Uncovering Causal Effects of Online Short Videos on Consumer Behaviors. 997-1006 - Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah:
Friend Story Ranking with Edge-Contextual Local Graph Convolutions. 1007-1015 - Mohamed Trabelsi, Jeff Heflin, Jin Cao:
DAME: Domain Adaptation for Matching Entities. 1016-1024 - Jiachuan Wang, Lei Chen, Charles Wang Wai Ng:
A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting. 1025-1035 - Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da:
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce. 1036-1044 - Jiaan Wang, Zhixu Li, Tingyi Zhang, Duo Zheng, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen:
Knowledge Enhanced Sports Game Summarization. 1045-1053 - Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao:
MtCut: A Multi-Task Framework for Ranked List Truncation. 1054-1062 - Chao Wang, Jingping Liu, Tianyi Zhuang, Jiahang Li, Juntao Liu, Yanghua Xiao, Wei Wang, Rui Xie:
A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction. 1063-1071 - Zhan Wang, Zhaohui Peng, Senzhang Wang, Qiao Song:
Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining. 1072-1080 - Lu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He:
Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation. 1081-1089 - Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong:
Structure Meets Sequences: Predicting Network of Co-evolving Sequences. 1090-1098