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Conference on Web Search and Data Mining (2021)


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WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

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WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

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Some Thoughts on Computational Natural Language in the 21st Century
Yoav Shoham

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Beyond Web Search: How Email Search is Different and Why it Matters
Susan T. Dumais

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Harnessing Big Data for Personalized Medicine
Eran Segal

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Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications
Jina Suh | Eric Horvitz | Ryen W. White | Tim Althoff

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Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
Muhammad Ali | Piotr Sapiezynski | Aleksandra Korolova | Alan Mislove | Aaron Rieke

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Towards Ordinal Suicide Ideation Detection on Social Media
Ramit Sawhney | Harshit Joshi | Saumya Gandhi | Rajiv Ratn Shah

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DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents
Kunal Dahiya | Deepak Saini | Anshul Mittal | Ankush Shaw | Kushal Dave | Akshay Soni | Himanshu Jain | Sumeet Agarwal | Manik Varma

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Semi-Supervised Text Classification via Self-Pretraining
Payam Karisani | Negin Karisani

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DECAF: Deep Extreme Classification with Label Features
Anshul Mittal | Kunal Dahiya | Sheshansh Agrawal | Deepak Saini | Sumeet Agarwal | Purushottam Kar | Manik Varma

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Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce
Junhao Zhang | Weidi Xu | Jianhui Ji | Xi Chen | Hongbo Deng | Keping Yang

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On the Impact of Predicate Complexity in Crowdsourced Classification Tasks
Jorge Ramírez | Marcos Báez | Fabio Casati | Luca Cernuzzi | Boualem Benatallah | Ekaterina A. Taran | Veronika A. Malanina

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Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems
Zhe Chen | Yuyan Wang | Dong Lin | Derek Zhiyuan Cheng | Lichan Hong | Ed H. Chi | Claire Cui

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Popularity-Opportunity Bias in Collaborative Filtering
Ziwei Zhu | Yun He | Xing Zhao | Yin Zhang | Jianling Wang | James Caverlee

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A Black-Box Attack Model for Visually-Aware Recommender Systems
Rami Cohen | Oren Sar Shalom | Dietmar Jannach | Amihood Amir

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Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users
Roger Zhe Li | Julián Urbano | Alan Hanjalic

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Real-time Relevant Recommendation Suggestion
Ruobing Xie | Rui Wang | Shaoliang Zhang | Zhihong Yang | Feng Xia | Leyu Lin

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User Response Models to Improve a REINFORCE Recommender System
Minmin Chen | Bo Chang | Can Xu | Ed H. Chi

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Diverse User Preference Elicitation with Multi-Armed Bandits
Javier Parapar | Filip Radlinski

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RePBubLik: Reducing Polarized Bubble Radius with Link Insertions
Shahrzad Haddadan | Cristina Menghini | Matteo Riondato | Eli Upfal

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Node Similarity Preserving Graph Convolutional Networks
Wei Jin | Tyler Derr | Yiqi Wang | Yao Ma | Zitao Liu | Jiliang Tang

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BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks
Di Jin | Xiangchen Song | Zhizhi Yu | Ziyang Liu | Heling Zhang | Zhaomeng Cheng | Jiawei Han

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Deconfounding with Networked Observational Data in a Dynamic Environment
Jing Ma | Ruocheng Guo | Chen Chen | Aidong Zhang | Jundong Li

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Balanced Influence Maximization in the Presence of Homophily
Md Sanzeed Anwar | Martin Saveski | Deb Roy

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Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network
Yuanzhen Xie | Zijing Ou | Liang Chen | Yang Liu | Kun Xu | Carl Yang | Zibin Zheng

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Online Experimentation with Surrogate Metrics: Guidelines and a Case Study
Weitao Duan | Shan Ba | Chunzhe Zhang

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CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled Experiments
Weinan Wang | Xi Zhang

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Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
Shuxi Zeng | Murat Ali Bayir | Joseph J. Pfeiffer | Denis Charles | Emre Kiciman

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Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records
Jiatu Shi | Huaxiu Yao | Xian Wu | Tong Li | Zedong Lin | Tengfei Wang | Binqiang Zhao

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Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets
Ting Liang | Guanxiong Zeng | Qiwei Zhong | Jianfeng Chi | Jinghua Feng | Xiang Ao | Jiayu Tang

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Shifting Consumption towards Diverse Content on Music Streaming Platforms
Christian Hansen | Rishabh Mehrotra | Casper Hansen | Brian Brost | Lucas Maystre | Mounia Lalmas

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Chebyshev Accelerated Spectral Clustering
Tianyu Yu | Yonghua Zhao | Rongfeng Huang | Shifang Liu | Xinyin Zhang

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Theoretical Understandings of Product Embedding for E-commerce Machine Learning
Da Xu | Chuanwei Ruan | Evren Körpeoglu | Sushant Kumar | Kannan Achan

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Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation
Bowen Hao | Jing Zhang | Hongzhi Yin | Cuiping Li | Hong Chen

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Long-Term Effect Estimation with Surrogate Representation
Lu Cheng | Ruocheng Guo | Huan Liu

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PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Xinyu Ma | Jiafeng Guo | Ruqing Zhang | Yixing Fan | Xiang Ji | Xueqi Cheng

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Bilateral Variational Autoencoder for Collaborative Filtering
Quoc-Tuan Truong | Aghiles Salah | Hady W. Lauw

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Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study
Dara Bahri | Yi Tay | Che Zheng | Cliff Brunk | Donald Metzler | Andrew Tomkins

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Generating Tips from Product Reviews
Sharon Hirsch | Slava Novgorodov | Ido Guy | Alexander Nus

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Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning
Seungbae Kim | Jyun-Yu Jiang | Wei Wang

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Quotebank: A Corpus of Quotations from a Decade of News
Timoté Vaucher | Andreas Spitz | Michele Catasta | Robert West

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Abstractive Opinion Tagging
Qintong Li | Piji Li | Xinyi Li | Zhaochun Ren | Zhumin Chen | Maarten de Rijke

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Contextualizing Trending Entities in News Stories
Marco Ponza | Diego Ceccarelli | Paolo Ferragina | Edgar Meij | Sambhav Kothari

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Question Rewriting for Conversational Question Answering
Svitlana Vakulenko | Shayne Longpre | Zhucheng Tu | Raviteja Anantha

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Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation
Kerui Xu | Jingxuan Yang | Jun Xu | Sheng Gao | Jun Guo | Ji-Rong Wen

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Denoising Implicit Feedback for Recommendation
Wenjie Wang | Fuli Feng | Xiangnan He | Liqiang Nie | Tat-Seng Chua

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Origin-Aware Next Destination Recommendation with Personalized Preference Attention
Nicholas Lim | Bryan Hooi | See-Kiong Ng | Xueou Wang | Yong Liang Goh | Renrong Weng | Rui Tan

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Event-Driven Query Expansion
Guy D. Rosin | Ido Guy | Kira Radinsky

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An Efficient and Effective Framework for Session-based Social Recommendation
Tianwen Chen | Raymond Chi-Wing Wong

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Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
Yanbo Xu | Divyat Mahajan | Liz Manrao | Amit Sharma | Emre Kiciman

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Explain and Predict, and then Predict Again
Zijian Zhang | Koustav Rudra | Avishek Anand

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Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings
Xiaojie Wang | Rui Zhang | Yu Sun | Jianzhong Qi

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Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems
Xuezhi Wang | Nithum Thain | Anu Sinha | Flavien Prost | Ed H. Chi | Jilin Chen | Alex Beutel

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Towards Long-term Fairness in Recommendation
Yingqiang Ge | Shuchang Liu | Ruoyuan Gao | Yikun Xian | Yunqi Li | Xiangyu Zhao | Changhua Pei | Fei Sun | Junfeng Ge | Wenwu Ou | Yongfeng Zhang

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Online Post-Processing in Rankings for Fair Utility Maximization
Ananya Gupta | Eric Johnson | Justin Payan | Aditya Kumar Roy | Ari Kobren | Swetasudha Panda | Jean-Baptiste Tristan | Michael L. Wick

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Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions
Harrie Oosterhuis | Maarten de Rijke

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Bias-Variance Decomposition for Ranking
Pannaga Shivaswamy | Ashok Chandrashekar

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Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction
Nan Wang | Zhen Qin | Xuanhui Wang | Hongning Wang

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Unbiased Learning to Rank in Feeds Recommendation
Xinwei Wu | Hechang Chen | Jiashu Zhao | Li He | Dawei Yin | Yi Chang

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Interpretable Ranking with Generalized Additive Models
Honglei Zhuang | Xuanhui Wang | Michael Bendersky | Alexander Grushetsky | Yonghui Wu | Petr Mitrichev | Ethan Sterling | Nathan Bell | Walker Ravina | Hai Qian

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Improving Cloud Storage Search with User Activity
Rolf Jagerman | Weize Kong | Rama Kumar Pasumarthi | Zhen Qin | Michael Bendersky | Marc Najork

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Temporal Cross-Effects in Knowledge Tracing
Chenyang Wang | Weizhi Ma | Min Zhang | Chuancheng Lv | Fengyuan Wan | Huijie Lin | Taoran Tang | Yiqun Liu | Shaoping Ma

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FACE-KEG: Fact Checking Explained using KnowledgE Graphs
Nikhita Vedula | Srinivasan Parthasarathy

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Learning Dynamic Embeddings for Temporal Knowledge Graphs
Siyuan Liao | Shangsong Liang | Zaiqiao Meng | Qiang Zhang

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Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph
Yu Chen | Ananya Subburathinam | Ching-Hua Chen | Mohammed J. Zaki

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Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals
Gaole He | Yunshi Lan | Jing Jiang | Wayne Xin Zhao | Ji-Rong Wen

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Beyond Relevance: Trustworthy Answer Selection via Consensus Verification
Lixin Su | Ruqing Zhang | Jiafeng Guo | Yixing Fan | Jiangui Chen | Yanyan Lan | Xueqi Cheng

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Long Horizon Forecasting with Temporal Point Processes
Prathamesh Deshpande | Kamlesh Marathe | Abir De | Sunita Sarawagi

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Time-Series Event Prediction with Evolutionary State Graph
Wenjie Hu | Yang Yang | Ziqiang Cheng | Carl Yang | Xiang Ren

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F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Yen-Yu Chang | Pan Li | Rok Sosic | M. H. Afifi | Marco Schweighauser | Jure Leskovec

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Sparse-Interest Network for Sequential Recommendation
Qiaoyu Tan | Jianwei Zhang | Jiangchao Yao | Ninghao Liu | Jingren Zhou | Hongxia Yang | Xia Hu

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Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals
Tsung-Yu Hsieh | Suhang Wang | Yiwei Sun | Vasant G. Honavar

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Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction
Chunyang Wang | Yanmin Zhu | Tianzi Zang | Haobing Liu | Jiadi Yu

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Bipartite Graph Embedding via Mutual Information Maximization
Jiangxia Cao | Xixun Lin | Shu Guo | Luchen Liu | Tingwen Liu | Bin Wang

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Centrality with Diversity
Liang Lyu | Brandon Fain | Kamesh Munagala | Kangning Wang

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Filter Pruning via Probabilistic Model-based Optimization for Accelerating Deep Convolutional Neural Networks
Qinghua Li | Cuiping Li | Hong Chen

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Federated Deep Knowledge Tracing
Jinze Wu | Zhenya Huang | Qi Liu | Defu Lian | Hao Wang | Enhong Chen | Haiping Ma | Shijin Wang

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Fast Disjunctive Candidate Generation Using Live Block Filtering
Antonio Mallia | Michal Siedlaczek | Torsten Suel

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Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
Enyan Dai | Suhang Wang

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A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores
Kasimir Gabert | Ali Pinar | Ümit V. Çatalyürek

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Adversarial Immunization for Certifiable Robustness on Graphs
Shuchang Tao | Huawei Shen | Qi Cao | Liang Hou | Xueqi Cheng

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Triangular Bidword Generation for Sponsored Search Auction
Zhenqiao Song | Jiaze Chen | Hao Zhou | Lei Li

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Learning User Representations with Hypercuboids for Recommender Systems
Shuai Zhang | Huoyu Liu | Aston Zhang | Yue Hu | Ce Zhang | Yumeng Li | Tanchao Zhu | Shaojian He | Wenwu Ou

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Heterogeneous Hypergraph Embedding for Graph Classification
Xiangguo Sun | Hongzhi Yin | Bo Liu | Hongxu Chen | Jiuxin Cao | Yingxia Shao | Nguyen Quoc Viet Hung

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Local Collaborative Autoencoders
Minjin Choi | Yoonki Jeong | Joonseok Lee | Jongwuk Lee

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Exploring the Subgraph Density-Size Trade-off via the Lovaśz Extension
Aritra Konar | Nicholas D. Sidiropoulos

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Balance Maximization in Signed Networks via Edge Deletions
Kartik Sharma | Iqra Altaf Gillani | Sourav Medya | Sayan Ranu | Amitabha Bagchi

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DeepIS: Susceptibility Estimation on Social Networks
Wenwen Xia | Yuchen Li | Jun Wu | Shenghong Li

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Hierarchical Metadata-Aware Document Categorization under Weak Supervision
Yu Zhang | Xiusi Chen | Yu Meng | Jiawei Han

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Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo | Wei Cheng | Wenchao Yu | Bo Zong | Jingchao Ni | Haifeng Chen | Xiang Zhang

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AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation
Qingqin Wang | Yun Xiong | Yao Zhang | Jiawei Zhang | Yangyong Zhu

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Unsupervised Attributed Network Embedding via Cross Fusion
Guosheng Pan | Yuan Yao | Hanghang Tong | Feng Xu | Jian Lu

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Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network
Congcong Miao | Jiajun Fu | Jilong Wang | Heng Yu | Botao Yao | Anqi Zhong | Jie Chen | Zekun He

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Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling
Justus Isaiah Hibshman | Daniel Gonzalez | Satyaki Sikdar | Tim Weninger

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FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection
Jia Li | Shimin Di | Yanyan Shen | Lei Chen

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GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
Tianxiang Zhao | Xiang Zhang | Suhang Wang

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CalibreNet: Calibration Networks for Multilingual Sequence Labeling
Shining Liang | Linjun Shou | Jian Pei | Ming Gong | Wanli Zuo | Daxin Jiang

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Modeling Context Pair Interaction for Pairwise Tasks on Graphs
Zhen Wang | Bo Zong | Huan Sun

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HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification
Rahul Ragesh | Sundararajan Sellamanickam | Arun Iyer | Ramakrishna Bairi | Vijay Lingam

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Towards Scalable Spectral Embedding and Data Visualization via Spectral Coarsening
Zhiqiang Zhao | Ying Zhang | Zhuo Feng

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I2PS: An Online Item Intelligent Publishing System in Consumer to Consumer (C2C) Transaction Platform
Lei Tian | Nanyang Wang | Pan Pan | Bin Wang | Yinghui Xu

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FinSense: An Assistant System for Financial Journalists and Investors
Yi-Ting Liou | Chung-Chi Chen | Tsun-Hsien Tang | Hen-Hsen Huang | Hsin-Hsi Chen

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TwiScraper: A Collaborative Project to Enhance Twitter Data Collection
Didier Henry

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SoMin.ai: Personality-Driven Content Generation Platform
Aleksandr Farseev | Qi Yang | Andrey Filchenkov | Kirill Lepikhin | Yu-Yi Chu-Farseeva | Daron-Benjamin Loo

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ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from Users
Yuki Maeda | Shuji Yamaguchi | Tatsuru Higurashi | Kota Tsubouchi

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WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19
Yuan Zhang | Xiaoqing Zhang | Yichuan Hu | Guanchun Wang | Rui Yan

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Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification
Idan Hasson | Slava Novgorodov | Gilad Fuchs | Yoni Acriche

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AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries
Tongliang Li | Lei Fang | Jian-Guang Lou | Zhoujun Li | Dongmei Zhang

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A Practical Federated Learning Framework for Small Number of Stakeholders
Christian Schneebeli | Saikishore Kalloori | Severin Klingler

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GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions
Mangesh Bendre | Mahashweta Das | Fei Wang | Hao Yang

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Birdspotter: A Tool for Analyzing and Labeling Twitter Users
Rohit Ram | Quyu Kong | Marian-Andrei Rizoiu

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DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
Wei Deng | Junwei Pan | Tian Zhou | Deguang Kong | Aaron Flores | Guang Lin

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Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
Riku Togashi | Mayu Otani | Shin'ichi Satoh

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β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers
Dionysis Manousakas | Cecilia Mascolo

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How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled Experiments
Yuxiang Xie | Meng Xu | Evan Chow | Xiaolin Shi

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Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems
Hao Chen | Xin Xin | Dong Wang | Yue Ding

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Explainable Recommendation with Comparative Constraints on Product Aspects
Trung-Hoang Le | Hady W. Lauw

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Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals
Anastasiia Kornilova | Lucas Bernardi

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Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
Kai Zhang | Hao Qian | Qing Cui | Qi Liu | Longfei Li | Jun Zhou | Jianhui Ma | Enhong Chen

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Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
Zhilin Zhang | Xiangyu Liu | Zhenzhe Zheng | Chenrui Zhang | Miao Xu | Junwei Pan | Chuan Yu | Fan Wu | Jian Xu | Kun Gai

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Enhancing Neural Recommender Models through Domain-Specific Concordance
Ananth Balashankar | Alex Beutel | Lakshminarayanan Subramanian

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QueryBlazer: Efficient Query Autocompletion Framework
Young Mo Kang | Wenhao Liu | Yingbo Zhou

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Explanation as a Defense of Recommendation
Aobo Yang | Nan Wang | Hongbo Deng | Hongning Wang

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Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks
Xichuan Niu | Bofang Li | Chenliang Li | Jun Tan | Rong Xiao | Hongbo Deng

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Toward User Engagement Optimization in 2D Presentation
Liang Wu | Mihajlo Grbovic | Jundong Li

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Temporal Meta-path Guided Explainable Recommendation
Hongxu Chen | Yicong Li | Xiangguo Sun | Guandong Xu | Hongzhi Yin

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WoMG: A Library for Word-of-Mouth Cascades Generation
Federico Cinus | Francesco Bonchi | Corrado Monti | André Panisson

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All the Wiser: Fake News Intervention Using User Reading Preferences
Kuan-Chieh Lo | Shih-Chieh Dai | Aiping Xiong | Jing Jiang | Lun-Wei Ku

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Community Connect: A Mock Social Media Platform to Study Online Behavior
Khyati Mahajan | Sourav Roy Choudhury | Sara Levens | Tiffany Gallicano | Samira Shaikh

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Exploring Personal Knowledge Extraction from Conversations with CHARM
Anna Tigunova | Paramita Mirza | Andrew Yates | Gerhard Weikum

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Real-time Streaming of Gait Assessment for Parkinson's Disease
Cristopher Flagg | Ophir Frieder | Sean MacAvaney | Gholam Motamedi

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AttentionFlow: Visualising Influence in Networks of Time Series
Minjeong Shin | Alasdair Tran | Siqi Wu | Alexander Patrick Mathews | Rong Wang | Georgiana Lyall | Lexing Xie

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Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks
Daniel Nemirovsky | Nicolas Thiebaut | Ye Xu | Abhishek Gupta

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Privacy Monitoring Service for Conversations
Qiongkai Xu | Chenchen Xu | Lizhen Qu

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Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes
Quyu Kong | Rohit Ram | Marian-Andrei Rizoiu

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A Semantic Layer Querying Tool
Renato Stoffalette João

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Data-Sharing Economy: Value-Addition from Data meets Privacy
Piyush Bagad | Subrata Mitra | Sunny Dhamnani | Atanu R. Sinha | Raunak Gautam | Haresh Khanna

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Multilingual and Multimodal Hate Speech Analysis in Twitter
Gretel Liz De la Peña Sarracén

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Deep Recommender Systems Utilizing Side Information
Amit Livne

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Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains
Anna Muratova

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Multimodal Machine Learning for Drug Knowledge Discovery
Guy Shtar

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Fairness-Aware Recommendation in Multi-Sided Platforms
Masoud Mansoury

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Graph Mining with Graph Neural Networks
Wei Jin

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Towards Dynamic User Intention in Sequential Recommendation
Chenyang Wang

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Personalization in Practice: Methods and Applications
Dmitri Goldenberg | Kostia Kofman | Javier Albert | Sarai Mizrachi | Adam Horowitz | Irene Teinemaa

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Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities
Guansong Pang | Longbing Cao | Charu Aggarwal

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WSDM 2021 Tutorial on Systematic Challenges and Computational Solutions on Bias and Unfairness in Peer Review
Nihar B. Shah

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WSDM 2021 Tutorial on Conversational Recommendation Systems
Zuohui Fu | Yikun Xian | Yongfeng Zhang | Yi Zhang

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Beyond Probability Ranking Principle: Modeling the Dependencies among Documents
Liang Pang | Qingyao Ai | Jun Xu

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Scalable Graph Neural Networks with Deep Graph Library
Da Zheng | Minjie Wang | Quan Gan | Xiang Song | Zheng Zhang | George Karypis

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Information to Wisdom: Commonsense Knowledge Extraction and Compilation
Simon Razniewski | Niket Tandon | Aparna S. Varde

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Advances in Bias-aware Recommendation on the Web
Ludovico Boratto | Mirko Marras

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Neural Structured Learning: Training Neural Networks with Structured Signals
Arjun Gopalan | Da-Cheng Juan | Cesar Ilharco Magalhaes | Chun-Sung Ferng | Allan Heydon | Chun-Ta Lu | Philip Pham | George Yu | Yicheng Fan | Yueqi Wang

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Pretrained Transformers for Text Ranking: BERT and Beyond
Andrew Yates | Rodrigo Nogueira | Jimmy Lin

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WebTour 2021 Workshop on Web Tourism
Tsvi Kuflik | Catalin-Mihai Barbu | Amra Delic | Dmitri Goldenberg | Julia Neidhardt | Ludovik Coba | Markus Zanker

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Integrity 2021: Integrity in Social Networks and Media
Lluis Garcia Pueyo | Anand Bhaskar | Roelof van Zwol | Timos Sellis | Gireeja Ranade | Prathyusha Senthil Kumar | Yu Sun | Joy Zhang

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The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021)
Yongfeng Zhang | Min Zhang | Hanxiong Chen | Xu Chen | Xianjie Chen | Chuang Gan | Tong Sun | Xin Luna Dong

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Overview of the Supporting and Understanding of Conversational Dialogues (SUD) Workshop
Debasis Ganguly | Manisha Verma | Procheta Sen | Dipasree Pal | Gareth J. F. Jones

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L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web
Danilo Dessì | Tanja Käser | Mirko Marras | Elvira Popescu | Harald Sack


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Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), Jerusalem, Israel, March 12, 2021

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Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), Jerusalem, Israel, March 12, 2021

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Generating Multi-Day Round Trip Itineraries for Tourists
Elif Erbil | Wolfgang Wörndl

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TripRec - A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis
Rinita Roy | Linus W. Dietz

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An Interactive Dashboard for Traveler Mobility Analysis
Lukas Vorwerk | Linus W. Dietz

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Evaluation Framework for Improving 360 Virtual Tours User Experience
Roman Shikhri | Joel Lanir | Lev Poretski

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Tourist recommendations with a touch of SPICE: A TRS with Deep Cultural Understanding
Tsvi Kuflik | Paul Mulholland | Alan J. Wecker

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Booking.com WSDM WebTour 2021 Challenge
Dmitri Goldenberg | Kostia Kofman | Pavel Levin | Sarai Mizrachi | Maayan Kafry | Guy Nadav

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Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations
Benedikt Schifferer | Chris Deotte | Jean-Francois Puget | Gabriel de Souza Pereira Moreira | Gilberto Titericz | Jiwei Liu | Ronay Ak

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Modeling Multi-Destination Trips with Sketch-Based Model
Michal Daniluk | Barbara Rychalska | Konrad Goluchowski | Jacek Dabrowski

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Explore next destination prediction
Yuanzhe Zhou | Shikang Wu | Chenyang Zheng

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Data Augmentation Using Many-To-Many RNNs for Session-Aware Recommender Systems
Martín Baigorria Alonso

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Attention-based neural re-ranking approach for next city in trip recommendations
Aleksandr Petrov | Yuriy Makarov

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Weighted Averaging of Various LSTM Models for Next Destination Recommendation
Shotaro Ishihara | Shuhei Goda | Yuya Matsumura

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Combining RNN with Transformer for Modeling Multi-Leg Trips
Yoshihiro Sakatani

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Hybrid Model with Time Modeling for Sequential Recommender Systems
Marlesson R. O. Santana | Anderson Soares