WWW 2019会议接收文章列表放出，恭喜各位！- 专知

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