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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 - Yongyu Wang, Zhiqiang Zhao, Zhuo Feng:
Scalable Graph Topology Learning via Spectral Densification. 1099-1108 - Zhenyi Wang, Huan Zhao, Chuan Shi:
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering. 1109-1119 - Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin:
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. 1120-1128 - Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng:
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. 1129-1139 - Xiaotong Wu, Lianyong Qi, Xiaolong Xu, Shui Yu, Wanchun Dou, Xuyun Zhang:
Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video Enhancement. 1140-1148 - Sixing Wu, Minghui Wang, Ying Li, Dawei Zhang, Zhonghai Wu:
Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources. 1149-1157 - Teng Xiao, Suhang Wang:
Towards Unbiased and Robust Causal Ranking for Recommender Systems. 1158-1167 - Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin:
Long Short-Term Temporal Meta-learning in Online Recommendation. 1168-1176 - Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
A Peep into the Future: Adversarial Future Encoding in Recommendation. 1177-1185 - Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Supervised Advantage Actor-Critic for Recommender Systems. 1186-1196 - Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou:
Informed Multi-context Entity Alignment. 1197-1205 - Xiaofei Xu, Ke Deng, Xiuzhen Zhang:
Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns. 1206-1214 - Bo Xu, Shizhou Huang, Chaofeng Sha, Hongya Wang:
MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition. 1215-1223 - Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke:
Translating Human Mobility Forecasting through Natural Language Generation. 1224-1233 - Yingrui Yang, Yifan Qiao, Jinjin Shao, Xifeng Yan, Tao Yang:
Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT. 1234-1244 - Cheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong, Chuan Shi, Wei Wang, Xu Zhang:
Few-shot Link Prediction in Dynamic Networks. 1245-1255 - Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal:
MAVE: A Product Dataset for Multi-source Attribute Value Extraction. 1256-1265 - Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang:
Interpretable Relation Learning on Heterogeneous Graphs. 1266-1274 - Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin:
Fast Semantic Matching via Flexible Contextualized Interaction. 1275-1283 - Furkan Yesiler, Marius Miron, Joan Serrà, Emilia Gómez:
Assessing Algorithmic Biases for Musical Version Identification. 1284-1290 - Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim:
Directed Network Embedding with Virtual Negative Edges. 1291-1299 - Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. 1300-1309 - Yifei Yuan, Wai Lam:
Sentiment Analysis of Fashion Related Posts in Social Media. 1310-1318 - Jiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji, Xiaoling Wang:
Community Trend Prediction on Heterogeneous Graph in E-commerce. 1319-1327 - Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. 1328-1336 - Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao:
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. 1337-1346 - Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
ESC-GAN: Extending Spatial Coverage of Physical Sensors. 1347-1356 - Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. 1357-1367 - Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng:
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. 1368-1376 - Juntao Zhang, Nanzhou Lin, Xuelong Zhang, Wei Song, Xiandi Yang, Zhiyong Peng:
Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders. 1377-1385 - Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu:
A GNN-based Multi-task Learning Framework for Personalized Video Search. 1386-1394 - Minjia Zhang, Wenhan Wang, Yuxiong He:
GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning. 1395-1405 - Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang:
CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction. 1406-1414 - Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. 1415-1423 - Guozhen Zhang, Jinwei Zeng, Zhengyue Zhao, Depeng Jin, Yong Li:
A Counterfactual Modeling Framework for Churn Prediction. 1424-1432 - Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang:
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. 1433-1442 - Liang Zhao, Min Gao, Zongwei Wang:
ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction. 1443-1451 - Xiaoyun Zhao, Ning Yang, Philip S. Yu:
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. 1452-1460 - Kai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, Xiaoyi Zeng:
Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network. 1461-1469 - Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu:
AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. 1470-1478 - Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata:
Learning Transferable Node Representations for Attribute Extraction from Web Documents. 1479-1487 - Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu:
C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. 1488-1496 - Ziwei Zhu, James Caverlee:
Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning. 1497-1506 - Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. 1507-1515 - Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen:
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning. 1516-1524 - Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han:
A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion. 1525-1533 - Xiaochen Zuo, Zhicheng Dou, Ji-Rong Wen:
Improving Session Search by Modeling Multi-Granularity Historical Query Change. 1534-1542
Doctoral Consortium
- Alexander Chernyavskiy:
Improving Text Generation via Neural Discourse Planning. 1543-1544 - Yingtong Dou:
Robust Graph Learning for Misbehavior Detection. 1545-1546 - Yixuan He:
GNNs for Node Clustering in Signed and Directed Networks. 1547-1548 - Yaxin Li:
Towards Practical Robustness Evaluation and Robustness Enhancing. 1549-1550 - Juanhui Li:
From Uni-relational to Multi-relational Graph Neural Networks. 1551-1552 - Haochen Liu:
Trustworthy Machine Learning: Fairness and Robustness. 1553-1554 - Wentao Wang:
Obtaining Robust Models from Imbalanced Data. 1555-1556 - Yu Wang:
Fair Graph Representation Learning with Imbalanced and Biased Data. 1557-1558 - Han Xu:
Doctoral Consortium of WSDM'22: Exploring the Bias of Adversarial Defenses. 1559-1560
Demonstrations
- Andreas Both, Paul Heinze, Aleksandr Perevalov, Johannes Richard Bartsch, Rostislav Iudin, Johannes Rudolf Herkner, Tim Schrader, Jonas Wunsch, René Gürth, Ann Kristin Falkenhain:
Quality Assurance of a German COVID-19 Question Answering Systems using Component-based Microbenchmarking. 1561-1564 - Rhys Butler, Vishnu Dutt Duggirala, Farnoush Banaei Kashani:
iLFQA: A Platform for Efficient and Accurate Long-Form Question Answering. 1565-1568 - Xuesong Chen, Ziyi Ye, Xiaohui Xie, Yiqun Liu, Xiaorong Gao, Weihang Su, Shuqi Zhu, Yike Sun, Min Zhang, Shaoping Ma:
Web Search via an Efficient and Effective Brain-Machine Interface. 1569-1572 - Josh Devins, Julie Tibshirani, Jimmy Lin:
Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini. 1573-1576 - Yan Fan, Chengyu Wang, Peng He, Yunhua Hu:
Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling. 1577-1580 - Voon Hou Su, Sourav Sen Gupta, Arijit Khan:
Automating ETL and Mining of Ethereum Blockchain Network. 1581-1584 - Hui Li, Qiting Yang, Jiangtao Cui:
a2RegInf: An Interactive System for Maximizing Influence within Arbitrary Number of Arbitrary Shaped Query Regions. 1585-1588 - Dai Quoc Nguyen, Vinh Tong, Dinh Q. Phung, Dat Quoc Nguyen:
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction. 1589-1592 - Razieh Nokhbeh Zaeem, Ahmad Ahbab, Josh Bestor, Hussam H. Djadi, Sunny Kharel, Victor Lai, Nick Wang, K. Suzanne Barber:
PrivacyCheck v3: Empowering Users with Higher-Level Understanding of Privacy Policies. 1593-1596 - Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong:
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. 1597-1600 - Naime Ranjbar Kermany, Jian Yang, Jia Wu, Luiz Pizzato:
Fair-SRS: A Fair Session-based Recommendation System. 1601-1604 - Michael Soprano, Kevin Roitero, Francesco Bombassei De Bona, Stefano Mizzaro:
Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf. 1605-1608 - Juntao Su, Edward T. Dougherty, Shuang Jiang, Fang Jin:
An Interactive Knowledge Graph Based Platform for COVID-19 Clinical Research. 1609-1612 - Felix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus Gross:
Personalized Information Retrieval for Touristic Attractions in Augmented Reality. 1613-1616
Tutorial Presentations
- Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Search and Discovery in Personal Email Collections. 1617-1619 - Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu:
Graph Minimally-supervised Learning. 1620-1622 - Chen Gao, Xiang Wang, Xiangnan He, Yong Li:
Graph Neural Networks for Recommender System. 1623-1625 - Dilek Küçük, Fazli Can:
A Tutorial on Stance Detection. 1626-1628 - Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty:
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. 1629-1631 - Preslav Nakov, Giovanni Da San Martino, Firoj Alam:
Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic. 1632-1634 - Da Xu, Chuanwei Ruan:
Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System. 1635-1637
Smart City Talks
- Kostas Kollias:
The Pit Stop Problem: How to Plan Your Next Road Trip. 1638 - Yuan Tian:
Predicting Users' Gender and Age based on Mobile Tasks. 1639 - Milenko Tosic, Fábio Coelho, Barry Nouwt, David Emanuel Rua, Aleksandar Tomcic, Sasa Pesic:
Towards a Cross-domain Semantically Interoperable Ecosystem. 1640-1641
Industry Day Talks
- Minmin Chen:
Exploration in Recommender Systems. 1642 - Harsha Gwalani:
Studying Long-Term User Behaviour Using Dynamic Time Warping for Customer Retention. 1643 - Alejandro Jaimes:
AI & Public Data for Humanitarian and Emergency Response. 1644 - Shih-Ting Lin:
Scalable Attribute Extraction at Instacart. 1645 - Zitao Liu:
A Practical Guide to Robust Multimodal Machine Learning and Its Application in Education. 1646 - Lalla Mouatadid:
Mining Frequent Patterns on Knowledge Graphs. 1647 - Ajith Muralidharan:
Near Real Time AI Personalization for Notifications at LinkedIn. 1648 - Vijay K. Narayanan:
Successes and Opportunities in Enterprise AI. 1649 - Sri Sri Perangur:
Experiments with Predictive Long Term Guardrail Metrics. 1650 - Dmitry Ustalov:
Challenges in Data Production for AI with Human-in-the-Loop. 1651-1652 - Haixun Wang:
Rethink e-Commerce Search. 1653 - Alex Wood-Doughty, Cameron Bruggeman:
The Incentives Platform at Lyft. 1654 - Jaewon Yang, Baoxu Shi, Alex Samylkin:
Graph Neural Networks for the Global Economy with Microsoft DeepGraph. 1655 - Barr Moses:
The Rise of Data Observability: Architecting the Future of Data Trust. 1657
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