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Crowdsourcing and Human Computation for the Web
Wednesday April 25th – 11:00am-12:20pm – Crowdsourcing and Human Computation for the Web I
  • The Size Conundrum: Why Online Knowledge Markets Can Fail at Scale
  • Crowd-based Multi-Predicate Screening of Papers in Literature Reviews
  • Web-Based VR Experiments Powered by the Crowd
  • Creating Crowdsourced Research Talks at Scale
Thursday April 26th – 3:40pm-5:00pm – Crowdsourcing and Human Computation for the Web II
  • CHIMP: Crowdsourcing Human Inputs for Mobile Phones
  • Leveraging Crowdsourcing Data For Deep Active Learning – An Application: Learning Intents in Alexa
  • Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing
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Health on the Web
Friday April 27th – 11:00am-12:20pm – Health on the Web I
  • Did You Really Just Have a Heart Attack?: Towards Robust Detection of Personal Health Mentions in Social Media ★
  • Multi-Task Pharmacovigilance Mining from Social Media Posts
  • Multi-Task Learning Improves Disease Models from Web Search
  • A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval
Friday April 27th – 1:40pm-3:00pm – Health on the Web II
  • Modeling Individual Cyclic Variation in Human Behavior
  • Multi-instance Domain Adaptation for Vaccine Adverse Event Detection
  • Modeling Interdependent and Periodic Real-World Action Sequences
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Intelligent and Autonomous systems on the Web
Thursday April 26th – 11:00am-12:20pm – Intelligent and Autonomous systems on the Web
  • Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
  • Sharing Deep Neural Network Models with Interpretation
  • DRN: A Deep Reinforcement Learning Framework for News Recommendation
  • ROSC: Robust Spectral Clustering on Multi-scale Data
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Security and Privacy on the Web
Wednesday April 25th – 11:00am-12:20pm – Security and Privacy on the Web I
  • Exposing Search and Advertisement Abuse Tactics and Infrastructure of Technical Support Scammers
  • AdBudgetKiller: Online Advertising Budget Draining Attack
  • Betrayed by Your Dashboard: Discovering Malicious Campaigns via Web Analytics
  • An Automated Approach to Auditing Disclosure of Third-Party Data Collection in Website Privacy Policies ★
Thursday April 26th – 11:00am-12:20pm – Security and Privacy on the Web II
  • Hiding in the crowd: an analysis of the effectiveness of browser fingerprinting at large scale
  • Uncovering HTTP Header Inconsistencies and the Impact on Desktop/Mobile Websites
  • Your Secrets Are Safe: How Browsers’ Explanations Impact Misconceptions About Private Browsing Mode
  • ProxyTorrent: Untangling the Free HTTP(S) Proxy Ecosystem
Thursday April 26th – 1:40pm-3:00pm – Security and Privacy on the Web III
  • SafeKeeper: Protecting Web Passwords using Trusted Execution Environments
  • I’m Listening to your Location! Inferring User Location with Acoustic Side Channel
  • Mind Your Credit: Assessing the Health of the Ripple Credit Network
  • Platform Criminalism: The ‘Last-Mile’ Geography of the Darknet Market Supply Chain
Thursday April 26th – 3:40pm-5:00pm – Security and Privacy on the Web IV
  • Tagvisor: A Privacy Advisor for Sharing Hashtags
  • Incognito: A Method for Obfuscating Web Data
  • Panning for gold.com: Understanding the Dynamics of Domain Dropcatching
  • Large-Scale Analysis of Style Injection by Relative Path Overwrite ★
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Social Network Analysis and Graph Algorithms for the Web
Wednesday April 25th – 11:00am-12:20pm – Social Network Analysis and Graph Algorithms for the Web I
  • Mapping the Invocation Structure of Online Political Interaction
  • Modeling Success and Engagement for the App Economy
  • Minimizing Latency in Online Ride and Delivery Services ★
  • Minimizing Polarization and Disagreement in Social Networks
Wednesday April 25th – 1:40pm-3:00pm – Social Network Analysis and Graph Algorithms for the Web II
  • Fast Exact CoSimRank Search on Evolving and Static Graphs
  • Listing k-cliques in Sparse Real-World Graphs
  • TIMES: Temporal Information Maximally Extracted from Structures
  • Any-k: Anytime Top-k Tree Pattern Retrieval in Labeled Graphs
Thursday April 26th – 11:00am-12:20pm – Social Network Analysis and Graph Algorithms for the Web III
  • Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification
  • RaRE: Social Rank Regulated Large-scale Network Embedding
  • Low rank spectral network alignment
  • Spectral Algorithms for Temporal Graph Cuts
Thursday April 26th – 1:40pm-3:00pm – Social Network Analysis and Graph Algorithms for the Web IV
  • Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees
  • Fully Dynamic k-Center Clustering ★
  • VERSE: Versatile Graph Embeddings from Similarity Measures
  • Co-Regularized Deep Multi-Network Embedding
Thursday April 26th – 3:40pm-5:00pm – Social Network Analysis and Graph Algorithms for the Web V
  • Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks
  • Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach
  • Mining Tours and Paths in Activity Networks
  • When Online Dating Meets Nash Social Welfare: Achieving Efficiency and Fairness
Friday April 27th – 11:00am-12:20pm – Social Network Analysis and Graph Algorithms for the Web VI
  • Measuring and Improving the Core Resilience of Networks
  • Preferential Attachment as a Unique Equilibrium
  • SIDE: Representation Learning in Signed Directed Networks
  • Provable and Practical Approximations for the Degree Distribution using Sublinear Graph Samples
Friday April 27th – 1:40pm-3:00pm – Social Network Analysis and Graph Algorithms for the Web VII
  • Deep Collective Classification in Heterogeneous Information Networks
  • On Exploring Semantic Meanings of Links for Embedding Social Networks
  • A Correlation Clustering Framework for Community Detection
  • SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations
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User Modeling, Interaction and Experience on the Web
Wednesday April 25th – 1:40pm-3:00pm – User Modeling, Interaction and Experience on the Web I
  • Prediction of Sparse User-Item Consumption Rates with Zero-Inflated Poisson Regression
  • Coevolutionary Recommendation Model: Mutual Learning between Rating and Reviews
  • Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews
  • When Sheep Shop: Measuring Herding Effects in Product Ratings with Natural Experiments
Wednesday April 25th – 3:40pm-5:00pm – User Modeling, Interaction and Experience on the Web II
  • Anxiety and Information Seeking: Evidence From Large-Scale Mouse Tracking
  • On the Causal Effect of Badges
  • The Effect of Ad Blocking on User Engagement with the Web
  • Learning Causal Effects From Many Randomized Experiments Using Regularized Instrumental Variables
Friday April 27th – 11:00am-12:20pm – User Modeling, Interaction and Experience on the Web III
  • Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification
  • Bayesian Models for Product Size Recommendations
  • Robust Factorization Machines for User Response Prediction
  • Aesthetic-based Clothing Recommendation ★
Friday April 27th – 1:40pm-3:00pm – User Modeling, Interaction and Experience on the Web IV
  • How to Impute Missing Ratings?: Claims, Solution, and Its Application to Collaborative Filtering
  • AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering
  • Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking
  • Variational Autoencoders for Collaborative Filtering
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Web Content Analysis, Semantics and Knowledge
Wednesday April 25th – 11:00am-12:20pm – Web Content Analysis, Semantics and Knowledge I
  • Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN
  • Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning
  • Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding
  • Improving Word Embedding Compositionality using Lexicographic Definitions
Wednesday April 25th – 1:40pm-3:00pm – Web Content Analysis, Semantics and Knowledge II
  • CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
  • Estimating Rule Quality for Knowledge Base Completion with the Relationship between Coverage Assumption
  • Are All People Married?: Determining Obligatory Attributes in Knowledge Bases
  • Never-Ending Learning for Open-Domain Question Answering over Knowledge Bases
Wednesday April 25th – 3:40pm-5:00pm – Web Content Analysis, Semantics and Knowledge III
  • Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations
  • Estimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation
  • HighLife: Higher-arity Fact Harvesting ★
  • Browserless Web Data Extraction: Challenges and Opportunities
Thursday April 26th – 11:00am-12:20pm – Web Content Analysis, Semantics and Knowledge IV
  • A Coherent Unsupervised Model for Toponym Resolution
  • Towards Annotating Relational Data on the Web with Language Models
  • Inferring Missing Categorical Information in Noisy and Sparse Web Markup
  • Facet Annotation Using Reference Knowledge Bases
Thursday April 26th – 1:40pm-3:00pm – Web Content Analysis, Semantics and Knowledge V
  • Why Reinvent the Wheel: Let’s Build Question Answering Systems Together
  • Sentiment Analysis by Capsules
  • Content Attention Model for Aspect Based Sentiment Analysis
  • User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction
Thursday April 26th – 3:40pm-5:00pm – Web Content Analysis, Semantics and Knowledge VI
  • Modelling Dynamics in Semantic Web Knowledge Graphs with Formal Concept Analysis
  • Dynamic Embeddings for Language Evolution
  • Semantics and Complexity of GraphQL
  • Matching Natural Language Sentences with Hierarchical Sentence Factorization
Friday April 27th – 11:00am-12:20pm – Web Content Analysis, Semantics and Knowledge VII
  • Find the Conversation Killers: A Predictive Study of Thread-ending Posts
  • Detecting Absurd Conversations from Intelligent Assistant Logs by Exploiting User Feedback Utterances
  • Socioeconomic Dependencies of Linguistic Patterns in Twitter: a Multivariate Analysis
  • Time Expression Recognition Using a Constituent-based Tagging Scheme
Friday April 27th – 1:40pm-3:00pm – Web Content Analysis, Semantics and Knowledge VIII
  • Finding Needles in an Encyclopedic Haystack: Detecting Classes Among Wikipedia Articles
  • Leveraging Social Media Signals for Record Linkage
  • MemeSequencer: Sparse Matching for Embedding Image Macros
  • An Attention Factor Graph Model for Tweet Entity Linking
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Web Economics, Monetisation, and Online Markets
Wednesday April 25th – 1:40pm-3:00pm – Web Economics, Monetisation, and Online Markets I
  • Dynamic Mechanism Design in the Field
  • Incentive-Compatible Diffusion
  • Incentive-Aware Learning for Large Markets
  • Simple vs Optimal Contests with Convex Costs
Wednesday April 25th – 3:40pm-5:00pm – Web Economics, Monetisation, and Online Markets II
  • Testing Incentive Compatibility in Display Ad Auctions
  • Bid-Limited Targeting
  • Optimizing Ad Refresh In Mobile App Advertising
  • Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising
Thursday April 26th – 1:40pm-3:00pm – Web Economics, Monetisation, and Online Markets III
  • Detecting Ponzi Schemes on Ethereum: Towards Healthier Blockchain Technology
  • A Short-term Intervention for Long-term Fairness in the Labor Market ★
  • Reinforcement Mechanism Design for e-commerce
  • Financing the Web of Data with Delayed-Answer Auctions
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Web Search and Mining
Wednesday April 25th – 11:00am-12:20pm – Web Search and Mining I
  • StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow
  • Conversational Query Understanding Using Sequence to Sequence Modeling
  • Hierarchical Variational Memory Network for Dialogue Generation
  • Query Suggestion with Feedback Memory Network
Wednesday April 25th – 1:40pm-3:00pm – Web Search and Mining II
  • Leveraging Fine-Grained Wikipedia Categories for Entity Search
  • Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network
  • Ad Hoc Table Retrieval using Semantic Similarity
  • Joint User- and Event- Driven Stable Social Event Organization
Wednesday April 25th – 3:40pm-5:00pm – Web Search and Mining III
  • Online Compact Convexified Factorization Machine
  • Scalable Supervised Discrete Hashing for Large-Scale Search
  • Learning from Multi-View Multi-Way Data via Structural Factorization Machines
  • Learning on Partial-Order Hypergraphs
Thursday April 26th – 11:00am-12:20pm – Web Search and Mining IV
  • Detecting Crowdturfing “Add to Favorites” Activities in Online Shopping
  • Neural Attentional Rating Regression with Review-level Explanations
  • A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews
  • Strategies for Geographical Scoping and Improving a Gazetteer
Thursday April 26th – 1:40pm-3:00pm – Web Search and Mining V
  • TEM: Tree-enhanced Embedding Model for Explainable Recommendation
  • Manifold Learning for Rank Aggregation
  • Privacy and Efficiency Tradeoffs for Multiword Top K Search with Linear Additive Rank Scoring
  • Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
Thursday April 26th – 3:40pm-5:00pm – Web Search and Mining VI
  • Finding Subcube Heavy Hitters in Analytics Data Streams
  • Search Process as Transitions Between Neural States
  • Understanding and Predicting Delay in Reciprocal Relations
  • “Satisfaction with Failure” or “Unsatisfied Success”: Investigating the Relationship between Search Success and User Satisfaction
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Web and Society
Wednesday April 25th – 11:00am-12:20pm – Web and Society I
  • VizByWiki: Mining Data Visualizations from the Web to Enrich News Articles
  • Geographical Feature Extraction for Entities in Location-based Social Networks
  • On Ridesharing Competition and Accessibility: Evidence from Uber, Lyft, and Taxi
  • Auditing the Personalization and Composition of Politically-Related Search Engine Results Pages
Wednesday April 25th – 1:40pm-3:00pm – Web and Society II
  • “You are no Jack Kennedy”: On Media Selection of Highlights from Presidential Debates
  • What We Read, What We Search: Media Attention and Public Attention among 193 Countries
  • Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship
  • Me, My Echo Chamber, and I: Introspection on Social Media Polarization ★
Wednesday April 25th – 3:40pm-5:00pm – Web and Society III
  • Algorithmic Glass Ceiling in Social Networks: The effects of social recommendations on network diversity
  • (Don’t) Mention the War: A Comparison of Wikipedia and Britannica Articles on National Histories
  • Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction
  • Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification
Friday April 27th – 11:00am-12:20pm – Web and Society IV
  • To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period
  • Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating
  • A Structured Approach to Understanding Recovery and Relapse in AA
  • Community Interaction and Conflict on the Web
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Web of Things, Mobile and Ubiquitous Computing
Friday April 27th – 11:00am-12:20pm – Web of Things, Mobile and Ubiquitous Computing I
  • Facebook (A)Live?: Are live social broadcasts really broadcasts? ★
  • DeepMove: Predicting Human Mobility with Attentional Recurrent Networks
  • I’ll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application
  • Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users
Friday April 27th – 1:40pm-3:00pm – Web of Things, Mobile and Ubiquitous Computing II
  • The Cost of Digital Advertisement: Comparing User and Advertiser Views
  • Aladdin: Automating Release of Deep-Link APIs on Android
  • Mile High WiFi: A First Look At In-Flight Internet Connectivity
  • Arrays of (locality-sensitive) Count Estimators (ACE): Anomaly Detection on the Edge
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