WWW 2019会议接收文章列表放出,恭喜各位!

【导读】The Web Conference 2019 将在5月13-17日在San Francisco展开,日前,大会主办方发布了大会接收论文列表,包括225篇长文,以及135篇短文,特此编译如下,并对各位作者表示祝贺!


【WWW官方简介】

Web会议(以前称为WWW会议)是关于万维网主题的年度国际会议。该会议于1994年在欧洲核子研究中心开始,每年由来自世界各地的志愿者组成的当地团队与国际万维网会议指导委员会(IW3C2)合作组织。这次会议的目的是为世界提供一个讨论和辩论网络的演变、相关技术的标准化以及这些技术对社会和文化的影响的主要论坛。这次会议汇集了研究人员、政策制定者、开发人员、用户和商业企业——实际上,所有这些人都对网络及其所能提供的东西充满热情。2019年,网络大会将在加州旧金山举行,以庆祝互联网诞生30周年。我们将于2019年5月13日至17日相聚在一起,届时全球将有50%以上的人口能够通过互联网上网。我们希望抓住这些机会,反思过去30年的互联网,共同规划互联网的未来,重新思考一个真正包容和开放的网络,一个永远开放的网络。


小编:WWW早已在上述简介的基础了,有了充分的外延,目前WWW是一个全面的计算机方向的盛会。


【Paper List】

Full Papers

  • CBHE: Corner-based Building Height Estimation for Complex Street Scene Images

  • Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover’s Distance Space

  • Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues

  • Title Generation for Web Tables

  • Exploring Perceived Emotional Intelligence of Personality-Driven Virtual Agents in Handling User Challenges

  • SWeG: Lossless and Lossy Summarization of Tera-Scale Graphs

  • No Place to Hide: Catching Fraudulent Entities in Tensors

  • Using Variability as a Guiding Principle to Reduce Latency in Web Applications via OS Profiling

  • Automatic Generation of Pattern-controlled Product Description in E-commerce

  • Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

  • Link Prediction on N-ary Relational Data

  • Adversarial Training with Implicit Feedback for Robust Ad-hoc Retrieval Models

  • Learning Travel Time Distributions with Deep Generative Model

  • Estimating Walk-Based Similarities Using Random Walk

  • Sensitivity Analysis of Centralities on Unweighted Networks

  • DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data

  • Knowledge-Enhanced Ensemble Learning for Word Embeddings

  • STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

  • Tortoise or Hare? Quantifying the Effects of Performance on Mobile App Retention

  • Community detection through likelihood optimization: in search of a sound model

  • Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal

  • Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning

  • RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs

  • Who Watches the Watchmen: Exploring Complaints on the Web

  • A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction

  • Self- and Cross-Excitation in StackExchange Question & Answer Communities

  • Towards Efficient Sharing: A Usage Balancing Mechanism for Bike Sharing Systems

  • Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender System

  • Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks

  • Adversarial Training Methods for Network Embedding

  • NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

  • RAQ: Relationship-Aware Graph Querying in Large Networks

  • GhostLink: Mining Latent Influence Networks for Influence-aware Item Recommendation

  • Exploring User Behavior in Email Re-Finding Tasks

  • Studying Preferences and Concerns about Information Disclosure in Email Notifications

  • Improving Treatment Effect Estimators Through Experiment Splitting

  • Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning

  • Truth inference at scale: A Bayesian model for adjudicating highly redundant crowd annotations

  • Signed Distance-based Deep Memory Recommender

  • Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

  • Multimodal Review Generation for Recommender Systems

  • Alleviating Users' Pain of Waiting: Effective Task Grouping for Online-to-Offline Food Delivery Services

  • Beyond Shortest Paths: Route Recommendations for Ride-sharing

  • Neural IR Meets Graph Embedding: A Ranking Model for Product Search

  • How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation

  • Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization

  • Learning Resolution Parameters for Graph Clustering

  • Navigating the Maze of Wikidata Query Logs

  • Exploiting Ratings, Reviews and Relationships for Item Recommendations in Topic Based Social Networks

  • Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor

  • Reconciliation k-median: Clustering with non-polarized representatives

  • Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources

  • Transfer learning for unsupervised influenza-like illness models from online search data

  • Spectrum-enhanced Pairwise Learning to Rank

  • Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets

  • Language in Our Time: An Empirical Analysis of Hashtags

  • Evaluating Login Challenges as a Defense Against Account Takeover

  • Nonlinear diffusions for community detection and semi-supervised learning

  • Multilevel Network Alignment

  • Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources

  • Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness

  • Graph Neural Networks for Social Recommendation

  • Hack for Hire: Exploring the Emerging Market for Account Hijacking

  • Maximizing Current Flow Closeness under Cardinality Constraints

  • Persona-Aware Tips Generation

  • Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

  • Listening between the Lines: Learning Personal Attributes from Conversations

  • Cross-Network Embedding for Multi-Network Alignment

  • Local Matching Networks for Engineering Diagram Search

  • Towards Self-Adaptive Metric Learning On the Fly

  • Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations

  • Heterographic Pun Recognition via Pronunciation and Spelling Understanding Gated Attention Network

  • Debiasing Vandalism Detection Models at Wikidata

  • Graphy: A High Performance CPU-GPU Hybrid System for Node Embedding

  • Revisiting Opinion Dynamics with Varying Susceptibility to Persuasion via Non-Convex Local Search

  • What We Vote for? Answer Selection from User Expertise View in Community Question Answering

  • BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge

  • Grid-based Evaluation Metrics for Web Image Search

  • Measurement and Early Detection of Third-Party Application Abuse on Twitter

  • Joint Entity Linking with Deep Reinforcement Learning

  • Efficient (α,β)-Core Computation: an Index-based Approach

  • Before and After GDPR: The Changes in Third Party Presence at Public and Private European Websites

  • Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model

  • A Dynamic Embedding Model of the Media Landscape

  • Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks

  • RED: Redundancy-Driven Data Extraction from Result Pages

  • Message Distortion in Information Cascades

  • Generating Product Descriptions from User Reviews

  • Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach

  • Revisiting Wedge Sampling for Triangle Counting

  • Estimating the Total Volume of Queries to Google

  • User-Centric Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior

  • Cross-domain Recommendation Without Sharing User-relevant Data

  • How Intention Informed Recommendations Modulate Choices: A Field Study of Spoken Word Content

  • Anomaly detection in the dynamics of web and social networks using associative memory

  • Cookie Synchronization: Everything You Always Wanted to Know But Were Afraid to Ask

  • Automatic Boolean Query Refinement for Systematic Review Literature Search

  • On Attribution of Recurrent Neural Network Predictions via Additive Decomposition

  • A Human-in-the-loop Attribute Design Framework for Classification

  • SGranite: Distributed Tensor Decomposition for Large Scale Health Analytics

  • Revisiting Mobile Advertising Threats with MAdLife

  • Doppelgängers on the Dark Web: A Large-scale Assessment on Phishing Hidden Web Services

  • A Hybrid BitFunnel and Partitioned Elias-Fano Inverted Index

  • Leveraging Peer Communication to Enhance Crowdsourcing

  • Distributed Algorithms for Fully Personalized PageRank on Large Graphs

  • How Representative is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks

  • Detecting Low Self-Esteem in youths from Web Search Data

  • ShadowBlock: A Lightweight and Stealthy Adblocking Browser

  • Neural Variational Correlated Topic Modeling

  • Heterogeneous Graph Attention Network

  • From Small-scale to Large-scale Text Classification

  • CommunityGAN: Community Detection with Generative Adversarial Nets

  • Personalized Bundle List Recommendation

  • RatingWorker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective

  • Domain-Constrained Advertising Keyword Generation

  • Learning Dual Retrieval Module for Semi-supervised Relation Extraction

  • PrivIdEx: Privacy Preserving and Secure Exchange of Digital Identity Assets

  • Snapshot-based Loading Acceleration of Web Apps with Nondeterministic JavaScript Execution

  • Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction

  • End-to-end Entity Matching using Pre-trained Deep Models

  • Review Response Generation in E-Commerce Platforms with External Product Information

  • SamWalker: Social Recommendation with Informative Sampling Strategy

  • Learning How to Correct a Knowledge Base from the Edit History

  • Dual Neural Personalized Ranking

  • Enriching News Articles with Related Search Queries

  • BaG: Behavior-aware Group Detection in Crowded Urban Spaces using WiFi Probes

  • A First Look at Deep Learning Apps on Smartphones

  • The Matthew Effect in Computation Contests: High Difficulty May Lead to 51% Dominance

  • Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

  • SpeedReader: Reader Mode Made Fast and Private

  • Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems

  • Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data

  • Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification

  • Nameles: An intelligent system for Real-Time Filtering of Invalid Ad Traffic

  • It's almost like they're trying to hide it: How User-Provided Image Descriptions Have Failed to Make Twitter Accessible

  • Web Experience in Operational Mobile Networks: Lessons from Two Million Page Visits

  • Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

  • Understanding the Evolution of Mobile App Ecosystems: A Longitudinal Measurement Study of Google Play

  • Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

  • Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations

  • Improving Outfit Recommendation with Co-supervision of Fashion Generation

  • Policy Gradients for Contextual Recommendations

  • ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections

  • Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability

  • ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs

  • Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference

  • Evaluating User Actions as a Proxy for Email Significance

  • Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval

  • Link Prediction in Networks with Core-Fringe Data

  • Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale

  • Generative Graph Models based on Laplacian Spectra

  • CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning

  • Modeling Dynamic Networks of Timestamped Relational Events using Point Process Block Models

  • Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach

  • Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning

  • SWAT: Seamless Web Authentication Technology

  • Trajectories of Blocked Community Members: Redemption, Recidivism and Departure

  • Moving Deep Learning into Web Browser: How Far Can We Go?

  • Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation

  • Bayesian Exploration with Heterogeneous Agents

  • Towards Neural Mixture Recommender for Long Range Dependent User Sequences

  • Crowd-Mapping Urban Objects from Street-Level Imagery

  • SaGe: Web Preemption for Public SPARQL Query Services

  • Auditing the Partisanship of Google Search Snippets

  • Using Contextual Integrity to Improve Information Leakage Detection

  • Be Concise and Precise: Synthesizing Open-domain Entity Descriptions from Facts

  • SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators

  • Splitter: Learning Node Representations that Capture Multiple Social Contexts

  • Learning from On-Line User Feedback in Neural Question Answering on the Web

  • Choosing to grow a graph: modeling network formation as discrete choice

  • OUTGUARD: Detecting In-Browser Covert Cryptocurrency Mining in the Wild

  • Auditing Offline Data Brokers via Facebook’s Advertising Platform

  • Forecasting U.S. Domestic Migration Using Internet Search Queries

  • DDGK: Learning Graph Representations via Deep Divergence Graph Kernels

  • Externalities and Fairness

  • Towards Predicting a Realisation of an Information Need based on Brain Signals

  • Efficient On-Device Public-Private Computation

  • Diversity and Exploration in Social Learning

  • Gaps in Information Access in Social Networks

  • Demographic Inference and Representative Population Estimates from Multilingual Social Media Data

  • Building a search engine for datasets in an open Web ecosystem

  • To Return or to Explore: Modelling Human Mobility and Dynamics in Cyberspace

  • Spiders like Onions: on the Network of Tor Hidden Services

  • (Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures

  • Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities

  • Dynamic Deep Multi-modal Fusion for Image Sharing

  • Selling a Single Item with Negative Externalities

  • Predictive Crawling for Commercial Web Content

  • Learning Edge Properties in Graphs from Path Aggregations

  • Keyphrase Extraction from Disaster-related Tweets

  • Addressing Trust Bias for Unbiased Learning-to-Rank

  • Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention

  • HAR: A Hierarchical Attention Retrieval Model for Healthcare Question Answering

  • Understanding the Effects of the Neighbourhood Built Environment on Public Health with Open Data

  • Speed and Scale of Cryptocurrency Discussion Growth on Reddit

  • Evaluating Anti-Fingerprinting Privacy Enhancing Technologies

  • Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preference

  • Semantic Text Matching for Long-Form Documents

  • Pruning based Distance Sketches with Provable Guarantees on Random Graphs

  • Bootstrapping Domain-Specific Content Discovery on the Web

  • Learning Semantic Models of Data Sources using Probabilistic Graphical Models

  • A Semi-Supervised Active-learning Truth Estimator for Social Networks

  • Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses

  • How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation

  • Multi-relational Network Embeddings with Relational Proximity and Node Attributes

  • Reply-aided Detection of Misinformation via Bayesian Deep Learning

  • Constrained Local Graph Clustering by Colored Random Walk

  • RiSER: Learning Better Representations for Richly Structured Emails

  • What happened? The Spread of Fake News Publisher Content During the 2016 Election

  • From Stances’ Imbalance to their Hierarchical Representation and Detection

  • Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests

  • Generalists and Specialists: Using Community Embeddings to Quantify Activity Diversity in Online Platforms

  • MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting

  • Shapley meets Uniform: An Axiomatic Framework for Attribution in Online Advertising

  • Sarcasm Detection with Self-matching Networks and Low-rank Bllinear Pooling

  • Learning to Generate Questions by Learning What not to Generate

  • Exploiting Diversity in Android TLS Implementations for Mobile App Traffic Classification

  • Blockchain Mining Games with Pay-Forward

  • “Data Strikes”: Evaluating the Effectiveness of New Forms of Collective Action Against Technology Platforms

  • Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding

  • Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

  • Decoupled smoothing on graphs

  • Aspect-level Sentiment Analysis using AS-Capsules

  • Quality Effects on User Preferences and Behaviors in Mobile News Streaming

  • Anything to Hide? Studying Minified and Obfuscated Code in the Web

Short Papers

  • Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations

  • A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs

  • Spatio-Temporal Capsule-based Reinforcement Learning for Mobility-on-Demand Network Coordination

  • Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems

  • A Tree-Structured Neural Network Model for Household Energy Breakdown

  • Recurrent Convolutional Neural Network for Sequential Recommendation

  • Rock, Rap, or Reggaeton?: Assessing Mexican Immigrants’ Cultural Assimilation Using Facebook Data

  • A Multimodal Text Matching Model for Obfuscated Language Identification in Adversarial Communication

  • Click Feedback-Aware Query Recommendation Using Adversarial Examples

  • Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering

  • Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss

  • Knowledge Graph Convolutional Networks for Recommender Systems

  • ViTOR: Learning to Rank Webpages Based on Visual Features

  • BotCamp: Bot-driven Interactions in Social Campaigns

  • The Silent Majority Speaks: Inferring Silent Users’ Opinions in Online Social Networks

  • A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps

  • Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks

  • Context-Sensitive Malicious Spelling Error Correction

  • A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts

  • MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation

  • Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization

  • FARE: Diagnostics for Fair Ranking using Pairwise Error Metrics

  • Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm

  • Understanding Urban Dynamics via State-sharing Hidden Markov Model

  • The Monopolistic Auction and Bitcoin's Fee Market

  • Place Deduplication with Embeddings

  • Learning Novelty-Aware Ranking of Answers to Complex Questions

  • Unnecessarily Identifiable: Quantifying the fingerprintability of browser extensions due to bloat

  • Cyberbullying Ends Here: Towards Robust Detection of Cyberbullying in Social Media

  • Learning Fast Matching Models from Weak Annotations

  • A large-scale study of Wikipedia users' quality of experience

  • Rethinking the detection of child sexual abuse imagery on the Internet

  • HopRank: How Semantic Structure Influences Teleportation in PageRank

  • DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

  • Semi-supervised Multi-view Individual and Sharable Feature Learning for Webpage Classification

  • Collaborative Similarity Embedding for Recommender Systems

  • Pcard: Personalized Restaurants Recommendation from Card Payment Transaction Records

  • TiSSA: A Time Slice Self-Attention Approach for Modeling Sequential User Behaviors

  • Outage Prediction and Diagnosis for Cloud Service Systems

  • Improved Cross-Lingual Question Retrieval for Community Question Answering

  • No More than What I Post: Preventing Linkage Attacks on Check-in Services

  • Predicting pregnancy using large-scale data from a women’s health tracking mobile application

  • User-Video Co-Attention Network for Personalized Micro-video Recommendation

  • Semantic Hilbert Space for Text Representation Learning

  • Focusing Attention Network for Answer Ranking

  • TiFi: Taxonomy Induction for Fictional Domains

  • Sampled in Pairs and Driven by Text: A New Graph Embedding Framework

  • The Chain of Implicit Trust: An Analysis of the Web Third-party Resources Loading

  • Product-Aware Helpfulness Prediction of Online Reviews

  • LAVA: Longitudinal Adversarial Attack on Electronic Health Records Data

  • What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Online Gaming

  • Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network

  • A Large-scale Study on the Risks of the HTML5 WebAPI for Mobile Sensor-based Attacks

  • Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text

  • Fuzzy Multi-task Learning for Hate Speech Type Identification

  • A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity

  • MVAE: Multimodal Variational Autoencoder for Fake News Detection

  • Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality

  • Learning clusters through information diffusion

  • Augmenting Knowledge Tracing by Considering Forgetting Behavior

  • Domain-aware Neural Model for Sequence Labeling using Joint Learning

  • Context-Aware Sequential Recommendations with Stacked Recurrent Neural Networks

  • Understanding Reader Backtracking Behavior in Online News Articles

  • Multistream Classification for Cyber Threat Data with Heterogeneous Feature Space

  • Efficient Neural Ranking with LSH-based Word Embeddings

  • Globally-Optimized Realtime Supply-Demand Matching in On-Demand Ridesharing

  • Recommender Systems with Heterogeneous Side Information

  • Signals Matter: Understanding Popularity and Impact of Users on Stack Overflow

  • Triple Trustworthiness Measurement for Knowledge Graph

  • Multi-Domain Gated CNN for Review Helpfulness Prediction

  • Mobile App Risk Ranking via Exclusive Sparse Coding

  • Deriving User- and Content-specific Rewards for Contextual Bandits

  • Global Vectors for Node Representation

  • Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods

  • Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation

  • Hierarchical Neural Variational Model for Personalized Sequential Recommendation

  • Genre Differences of Song Lyrics and Artist Wikis: An Analysis of Popularity, Length, Repetitiveness, and Readability

  • Context-aware Variational Trajectory Encoding and Human Mobility Inference

  • Adversarial Point-of-Interest Recommendation

  • Predicting Human Mobility via Variational Attention

  • Variational Session-based Recommendation Using Normalizing Flows

  • Abstractive Meeting Summarization via Hierarchical Adaptive Segmental Network Learning

  • Tag2Vec: Learning Tag Representations in Tag Networks

  • A Novel Generative Topic Embedding Model by Introducing Network Communities

  • Search Mindsets: Understanding Focused and Non-Focused Information Seeking in Music Search

  • TableNet: An approach for determining fine-grained relations for Wikipedia tables

  • Evaluating Neural Text Simplification in the Medical Domain

  • Firsthand opiates abuse on social media: monitoring geospatial patterns of interest through a digital cohort

  • Growing Attributed Networks through Local Processes

  • The Music Streaming Sessions Dataset

  • Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents

  • Open World Learning for Product Classification

  • An Investigation of Cyber Autonomy on Government Websites

  • Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference

  • Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis

  • Learning Intent to Book Metrics for Airbnb Search

  • ϵ-Diagnosis: Unsupervised and Real-time Diagnosis of Small-window Long-tail Latency in Large-scale Microservice Platforms

  • Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification

  • Event Detection and Extraction using Hierarchical Multi-Aspect Attention

  • On the Impact of Choice Architectures on Inequality in Online Donation Platforms

  • Pythia: a Framework for Automatic Analysis of Web Hosting Environments

  • Detection and Analysis of Self-Disclosure in Online News Commentaries

  • Entity Personalized Talent Search Models with Tree Interaction Features

  • Event-Driven Analysis of Crowd Dynamics in the Black Lives Matter Online Social Movement

  • Online Learning for Measuring Incentive Compatibility in Ad Auctions

  • Constructing Test Collections using Multi-armed Bandits and Active Learning

  • Modeling the Factors of User Success in Online Debate

  • Improving Top-k Recommendation via Joint Collaborative Autoencoders

  • Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues

  • Measuring Political Personalization of Google News Search

  • Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews

  • What Is in Your Password? Analyzing Memorable and Secure Passwords using a Tensor Decomposition

  • The few-get-richer: a surprising consequence of popularity-based rankings

  • A Scalable Hybrid Research Paper Recommender Platform for Microsoft Academic

  • Learning Task-Specific City Region Partitions

  • Personalized Online Spell Correction for Personal Search

  • Embarrassingly Shallow Autoencoders for Sparse Data

  • Structure-Aware Topic Model and Long Term Memory Topic Model

  • TurkScanner: Predicting the Hourly Wage of Microtasks

  • Parametric Models for Intransitivity in Pairwise Rankings

  • The Illusion of Change: Correcting for Bias when Inferring Changes in Sparse, Societal-Scale Data

  • On Convexity and Bounds of Fairness-aware Classification

  • Maximizing Marginal Utility per Dollar for Economic Recommendation

  • City-Wide Signal Strength Maps: Prediction with Random Forests

  • The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets

  • Extracting Product Defects and Solutions from Online Reviews

  • CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users

  • BoFGAN: Towards A New Structure of Backward-or-Forward Generative Adversarial Nets

  • Adaptive MAtrix Completion for the users and the items in tail

  • Enhancing Fashion Recommendation with Visual Compatibility Relationship

  • Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning

  • Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation

  • With a little help from my friends (and their friends): Influence neighborhoods for social recommendations

  • Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network

  • Improving Multiclass Classification in Crowsourcing by Using Hierarchical Schemes


原文链接:https://www2019.thewebconf.org/accepted-papers

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