Conference on Web Search and Data Mining (2021)

Content

WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 159 papers

Workshops

Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), Jerusalem, Israel, March 12, 2021 15 papers
Proceedings of the First International Workshop on Enabling Data-Driven Decisions from Learning on the Web co-located with the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Jerusalem, Israel, March 12, 2021 - moved online 7 papers

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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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

Proceedings of the First International Workshop on Enabling Data-Driven Decisions from Learning on the Web co-located with the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Jerusalem, Israel, March 12, 2021 - moved online

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Proceedings of the First International Workshop on Enabling Data-Driven Decisions from Learning on the Web co-located with the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Jerusalem, Israel, March 12, 2021 - moved online

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Incorporating Wide Context Information for Deep Knowledge Tracing using Attentional Bi-interaction
Raghava Krishnan | Janmajay Singh | Masahiro Sato | Qian Zhang | Tomoko Ohkuma

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Collaboration Patterns in Students' Teams Working on Business Cases
Galena Pisoni | Hannie Gijlers | Hsin-Chueh Chen | Thu Ha Nguyen

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Modelling Student Behavior in Synchronous Online Learning during the COVID-19 Pandemic
Gianni Fenu | Roberta Galici

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Learning Testing Model using Test Generators and Mobile Applications
Doru Anastasiu Popescu | Cosmin Iulian Gosoiu | Daniel Nijloveanu

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Test Students' Attention in Class using a Mobile Application
Doru Anastasiu Popescu | Cosmin Iulian Gosoiu | Ion Alexandru Popescu

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Designing Intelligent Systems for Online Education: Open Challenges and Future Directions
Danilo Dessì | Tanja Käser | Mirko Marras | Elvira Popescu | Harald Sack

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

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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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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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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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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 III | Denis Charles | Emre Kiciman

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

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

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

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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