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ORCID14th WSDM 2021: Virtual Event, Israel
- Liane Lewin-Eytan, David Carmel, Elad Yom-Tov, Eugene Agichtein, Evgeniy Gabrilovich:
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021. ACM 2021, ISBN 978-1-4503-8297-7
Keynote Talks
- Yoav Shoham:
Some Thoughts on Computational Natural Language in the 21st Century. 1 - Susan T. Dumais:
Beyond Web Search: How Email Search is Different and Why it Matters. 2 - Eran Segal:
Harnessing Big Data for Personalized Medicine. 3
Session 1: Society
- Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff:
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. 4-12 - Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke:
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging. 13-21 - Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Rajiv Ratn Shah:
Towards Ordinal Suicide Ideation Detection on Social Media. 22-30
Session 2: Classification
- Kunal Dahiya
, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma:
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. 31-39 - Payam Karisani, Negin Karisani:
Semi-Supervised Text Classification via Self-Pretraining. 40-48 - Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma:
DECAF: Deep Extreme Classification with Label Features. 49-57 - Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang:
Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. 58-66 - Jorge Ramírez, Marcos Báez, Fabio Casati, Luca Cernuzzi, Boualem Benatallah, Ekaterina A. Taran, Veronika A. Malanina:
On the Impact of Predicate Complexity in Crowdsourced Classification Tasks. 67-75 - Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui:
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. 76-84
Session 3: Recommender Systems
- Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee:
Popularity-Opportunity Bias in Collaborative Filtering. 85-93 - Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir:
A Black-Box Attack Model for Visually-Aware Recommender Systems. 94-102 - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users. 103-111 - Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin:
Real-time Relevant Recommendation Suggestion. 112-120 - Minmin Chen, Bo Chang, Can Xu, Ed H. Chi:
User Response Models to Improve a REINFORCE Recommender System. 121-129 - Javier Parapar, Filip Radlinski:
Diverse User Preference Elicitation with Multi-Armed Bandits. 130-138
Session 4: Networks
- Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal:
RePBubLik: Reducing Polarized Bubble Radius with Link Insertions. 139-147 - Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang:
Node Similarity Preserving Graph Convolutional Networks. 148-156 - Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. 157-165 - Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li:
Deconfounding with Networked Observational Data in a Dynamic Environment. 166-174 - Md Sanzeed Anwar, Martin Saveski, Deb Roy:
Balanced Influence Maximization in the Presence of Homophily. 175-183 - Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng:
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. 184-192
Session 5: Experiments
- Weitao Duan, Shan Ba, Chunzhe Zhang:
Online Experimentation with Surrogate Metrics: Guidelines and a Case Study. 193-201 - Weinan Wang, Xi Zhang:
CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled Experiments. 202-210 - Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman:
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. 211-219
Session 6: eCommerce
- Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao:
Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records. 220-228 - Ting Liang, Guanxiong Zeng, Qiwei Zhong, Jianfeng Chi, Jinghua Feng, Xiang Ao, Jiayu Tang:
Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets. 229-237 - Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas:
Shifting Consumption towards Diverse Content on Music Streaming Platforms. 238-246
Session 7: Clustering and Representation Learning
- Tianyu Yu, Yonghua Zhao, Rongfeng Huang, Shifang Liu, Xinyin Zhang:
Chebyshev Accelerated Spectral Clustering. 247-255 - Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. 256-264 - Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen:
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. 265-273 - Lu Cheng, Ruocheng Guo, Huan Liu:
Long-Term Effect Estimation with Surrogate Representation. 274-282 - Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng:
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. 283-291 - Quoc-Tuan Truong, Aghiles Salah, Hady W. Lauw:
Bilateral Variational Autoencoder for Collaborative Filtering. 292-300
Session 8: Web Analysis
- Dara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins:
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. 301-309 - Sharon Hirsch, Slava Novgorodov, Ido Guy, Alexander Nus:
Generating Tips from Product Reviews. 310-318 - Seungbae Kim, Jyun-Yu Jiang, Wei Wang:
Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning. 319-327 - Timoté Vaucher, Andreas Spitz, Michele Catasta, Robert West:
Quotebank: A Corpus of Quotations from a Decade of News. 328-336 - Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke:
Abstractive Opinion Tagging. 337-345 - Marco Ponza, Diego Ceccarelli, Paolo Ferragina, Edgar Meij, Sambhav Kothari:
Contextualizing Trending Entities in News Stories. 346-354
Session 9: Search and Recommendation
- Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha:
Question Rewriting for Conversational Question Answering. 355-363 - Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen:
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. 364-372 - Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. 373-381 - Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan:
Origin-Aware Next Destination Recommendation with Personalized Preference Attention. 382-390 - Guy D. Rosin, Ido Guy, Kira Radinsky:
Event-Driven Query Expansion. 391-399 - Tianwen Chen, Raymond Chi-Wing Wong:
An Efficient and Effective Framework for Session-based Social Recommendation. 400-408
Session 10: Explainability and Intervention
- Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman:
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. 409-417 - Zijian Zhang, Koustav Rudra, Avishek Anand:
Explain and Predict, and then Predict Again. 418-426 - Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi:
Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings. 427-435
Session 11: Fairness
- Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel:
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. 436-444 - Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
Towards Long-term Fairness in Recommendation. 445-453 - Ananya Gupta, Eric Johnson, Justin Payan, Aditya Kumar Roy, Ari Kobren, Swetasudha Panda, Jean-Baptiste Tristan, Michael L. Wick:
Online Post-Processing in Rankings for Fair Utility Maximization. 454-462
Session 12: Ranking
- Harrie Oosterhuis, Maarten de Rijke:
Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions. 463-471 - Pannaga Shivaswamy, Ashok Chandrashekar:
Bias-Variance Decomposition for Ranking. 472-480 - Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang:
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. 481-489 - Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang:
Unbiased Learning to Rank in Feeds Recommendation. 490-498 - Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian:
Interpretable Ranking with Generalized Additive Models. 499-507 - Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork:
Improving Cloud Storage Search with User Activity. 508-516
Session 13: Knowledge
- Chenyang Wang, Weizhi Ma, Min Zhang, Chuancheng Lv, Fengyuan Wan, Huijie Lin, Taoran Tang, Yiqun Liu, Shaoping Ma:
Temporal Cross-Effects in Knowledge Tracing. 517-525 - Nikhita Vedula, Srinivasan Parthasarathy:
FACE-KEG: Fact Checking Explained using KnowledgE Graphs. 526-534 - Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang:
Learning Dynamic Embeddings for Temporal Knowledge Graphs. 535-543 - Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki:
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph. 544-552 - Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. 553-561 - Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng:
Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. 562-570
Session 14: Temporal Data and Forecasting
- Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi:
Long Horizon Forecasting with Temporal Point Processes. 571-579 - Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren:
Time-Series Event Prediction with Evolutionary State Graph. 580-588 - Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec:
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. 589-597 - Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu:
Sparse-Interest Network for Sequential Recommendation. 598-606 - Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar:
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals. 607-615 - Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu:
Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction. 616-634
Poster Session I
- Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang:
Bipartite Graph Embedding via Mutual Information Maximization. 635-643 - Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang:
Centrality with Diversity. 644-652 - Qinghua Li, Cuiping Li, Hong Chen:
Filter Pruning via Probabilistic Model-based Optimization for Accelerating Deep Convolutional Neural Networks. 653-661 - Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. 662-670 - Antonio Mallia, Michal Siedlaczek, Torsten Suel:
Fast Disjunctive Candidate Generation Using Live Block Filtering. 671-679 - Enyan Dai, Suhang Wang:
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information. 680-688 - Kasimir Gabert, Ali Pinar, Ümit V. Çatalyürek:
A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores. 689-697 - Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Certifiable Robustness on Graphs. 698-706 - Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei Li:
Triangular Bidword Generation for Sponsored Search Auction. 707-715 - Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou:
Learning User Representations with Hypercuboids for Recommender Systems. 716-724 - Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung:
Heterogeneous Hypergraph Embedding for Graph Classification. 725-733 - Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee:
Local Collaborative Autoencoders. 734-742 - Aritra Konar, Nicholas D. Sidiropoulos:
Exploring the Subgraph Density-Size Trade-off via the Lovaśz Extension. 743-751 - Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi:
Balance Maximization in Signed Networks via Edge Deletions. 752-760 - Wenwen Xia, Yuchen Li, Jun Wu, Shenghong Li:
DeepIS: Susceptibility Estimation on Social Networks. 761-769 - Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. 770-778 - Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang:
Learning to Drop: Robust Graph Neural Network via Topological Denoising. 779-787 - Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu:
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. 788-796 - Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Unsupervised Attributed Network Embedding via Cross Fusion. 797-805 - Congcong Miao, Jiajun Fu, Jilong Wang, Heng Yu, Botao Yao, Anqi Zhong, Jie Chen, Zekun He:
Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network. 806-814 - Justus Isaiah Hibshman, Daniel Gonzalez, Satyaki Sikdar, Tim Weninger:
Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling. 815-823 - Jia Li, Shimin Di, Yanyan Shen, Lei Chen:
FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection. 824-832 - Tianxiang Zhao, Xiang Zhang, Suhang Wang:
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. 833-841 - Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang:
CalibreNet: Calibration Networks for Multilingual Sequence Labeling. 842-850 - Zhen Wang, Bo Zong, Huan Sun:
Modeling Context Pair Interaction for Pairwise Tasks on Graphs. 851-859 - Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam:
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. 860-868 - Zhiqiang Zhao, Ying Zhang, Zhuo Feng:
Towards Scalable Spectral Embedding and Data Visualization via Spectral Coarsening. 869-877
Demo Session I
- Lei Tian, Nanyang Wang, Pan Pan, Bin Wang, Yinghui Xu:
I2PS: An Online Item Intelligent Publishing System in Consumer to Consumer (C2C) Transaction Platform. 878-881 - Yi-Ting Liou, Chung-Chi Chen, Tsun-Hsien Tang, Hen-Hsen Huang, Hsin-Hsi Chen:
FinSense: An Assistant System for Financial Journalists and Investors. 882-885 - Didier Henry:
TwiScraper: A Collaborative Project to Enhance Twitter Data Collection. 886-889 - Aleksandr Farseev, Qi Yang, Andrey Filchenkov, Kirill Lepikhin, Yu-Yi Chu-Farseeva, Daron-Benjamin Loo:
SoMin.ai: Personality-Driven Content Generation Platform. 890-893 - Yuki Maeda, Shuji Yamaguchi, Tatsuru Higurashi, Kota Tsubouchi:
ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from Users. 894-897 - Yuan Zhang, Xiaoqing Zhang, Yichuan Hu, Guanchun Wang, Rui Yan:
WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19. 898-901 - Idan Hasson, Slava Novgorodov, Gilad Fuchs, Yoni Acriche:
Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification. 902-905 - Tongliang Li, Lei Fang, Jian-Guang Lou, Zhoujun Li, Dongmei Zhang:
AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries. 906-909 - Christian Schneebeli, Saikishore Kalloori, Severin Klingler:
A Practical Federated Learning Framework for Small Number of Stakeholders. 910-913 - Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang:
GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. 914-917 - Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu:
Birdspotter: A Tool for Analyzing and Labeling Twitter Users. 918-921
Poster Session II
- Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin:
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. 922-930 - Riku Togashi, Mayu Otani, Shin'ichi Satoh:
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph. 931-939 - Dionysis Manousakas, Cecilia Mascolo:
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers. 940-948 - Yuxiang Xie, Meng Xu, Evan Chow, Xiaolin Shi:
How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled Experiments. 949-957 - Hao Chen, Xin Xin, Dong Wang, Yue Ding:
Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems. 958-966 - Trung-Hoang Le, Hady W. Lauw:
Explainable Recommendation with Comparative Constraints on Product Aspects. 967-975 - Anastasiia Kornilova, Lucas Bernardi:
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals. 976-983 - Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. 984-992 - Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai:
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. 993-1001 - Ananth Balashankar, Alex Beutel, Lakshminarayanan Subramanian:
Enhancing Neural Recommender Models through Domain-Specific Concordance. 1002-1010 - Young Mo Kang, Wenhao Liu, Yingbo Zhou:
QueryBlazer: Efficient Query Autocompletion Framework. 1020-1028 - Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang:
Explanation as a Defense of Recommendation. 1029-1037 - Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng:
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. 1038-1046 - Liang Wu, Mihajlo Grbovic, Jundong Li:
Toward User Engagement Optimization in 2D Presentation. 1047-1055 - Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. 1056-1064
Demo Session II
- Federico Cinus, Francesco Bonchi, Corrado Monti, André Panisson:
WoMG: A Library for Word-of-Mouth Cascades Generation. 1065-1068 - Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku:
All the Wiser: Fake News Intervention Using User Reading Preferences. 1069-1072 - Khyati Mahajan, Sourav Roy Choudhury, Sara Levens, Tiffany Gallicano, Samira Shaikh:
Community Connect: A Mock Social Media Platform to Study Online Behavior. 1073-1076 - Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum:
Exploring Personal Knowledge Extraction from Conversations with CHARM. 1077-1080 - Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi:
Real-time Streaming of Gait Assessment for Parkinson's Disease. 1081-1084 - Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Patrick Mathews, Rong Wang, Georgiana Lyall, Lexing Xie:
AttentionFlow: Visualising Influence in Networks of Time Series. 1085-1088 - Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta:
Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks. 1089-1092 - Qiongkai Xu, Chenchen Xu, Lizhen Qu:
Privacy Monitoring Service for Conversations. 1093-1096 - Quyu Kong, Rohit Ram, Marian-Andrei Rizoiu:
Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes. 1097-1100 - Renato Stoffalette João:
A Semantic Layer Querying Tool. 1101-1104 - Piyush Bagad, Subrata Mitra, Sunny Dhamnani, Atanu R. Sinha, Raunak Gautam, Haresh Khanna:
Data-Sharing Economy: Value-Addition from Data meets Privacy. 1105-1108
Doctoral Consortium
- Gretel Liz De la Peña Sarracén:
Multilingual and Multimodal Hate Speech Analysis in Twitter. 1109-1110 - Amit Livne:
Deep Recommender Systems Utilizing Side Information. 1111-1112 - Anna Muratova:
Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains. 1113-1114 - Guy Shtar:
Multimodal Machine Learning for Drug Knowledge Discovery. 1115-1116 - Masoud Mansoury:
Fairness-Aware Recommendation in Multi-Sided Platforms. 1117-1118 - Wei Jin:
Graph Mining with Graph Neural Networks. 1119-1120 - Chenyang Wang:
Towards Dynamic User Intention in Sequential Recommendation. 1121-1122
Tutorials
- Dmitri Goldenberg, Kostia Kofman, Javier Albert, Sarai Mizrachi, Adam Horowitz, Irene Teinemaa:
Personalization in Practice: Methods and Applications. 1123-1126 - Guansong Pang, Longbing Cao, Charu Aggarwal:
Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. 1127-1130 - Nihar B. Shah:
WSDM 2021 Tutorial on Systematic Challenges and Computational Solutions on Bias and Unfairness in Peer Review. 1131-1133 - Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang:
WSDM 2021 Tutorial on Conversational Recommendation Systems. 1134-1136 - Liang Pang, Qingyao Ai, Jun Xu:
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. 1137-1140 - Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis:
Scalable Graph Neural Networks with Deep Graph Library. 1141-1142 - Simon Razniewski, Niket Tandon, Aparna S. Varde:
Information to Wisdom: Commonsense Knowledge Extraction and Compilation. 1143-1146 - Ludovico Boratto, Mirko Marras:
Advances in Bias-aware Recommendation on the Web. 1147-1149 - Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang:
Neural Structured Learning: Training Neural Networks with Structured Signals. 1150-1153 - Andrew Yates, Rodrigo Frassetto Nogueira, Jimmy Lin:
Pretrained Transformers for Text Ranking: BERT and Beyond. 1154-1156
Workshops
- Tsvi Kuflik, Catalin-Mihai Barbu, Amra Delic, Dmitri Goldenberg, Julia Neidhardt, Ludovik Coba, Markus Zanker:
WebTour 2021 Workshop on Web Tourism. 1157-1158 - Lluis Garcia Pueyo, Anand Bhaskar, Roelof van Zwol, Timos Sellis, Gireeja Ranade, Prathyusha Senthil Kumar, Yu Sun, Joy Zhang:
Integrity 2021: Integrity in Social Networks and Media. 1159-1160 - Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong:
The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). 1161-1162 - Debasis Ganguly, Manisha Verma, Procheta Sen, Dipasree Pal, Gareth J. F. Jones:
Overview of the Supporting and Understanding of Conversational Dialogues (SUD) Workshop. 1163-1164 - Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack:
L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web. 1165-1166
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