LinkedIn @ VLDB 2016

LinkedIn Papers & Workshops at VLDB 2016

LinkedIn @ KDD 2016

LinkedIn Engineering Research at KDD 2016

Moolle: Fan-out Control for Scalable Distributed Data Store

Who Are You? A Statistical Approach to Measuring User Authenticity

Truss Decomposition of Probabilistic Graphs: Semantics and Algorithms

Email Volume Optimization at LinkedIn

Importance of First Steps in a Community for Growth, Diversity, and Engagement

Ambry: LinkedIn's Scalable Geo-Distributed Object Store

Learning to Rank Personalized Search Results in Professional Networks

Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems

Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn

Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay

Audience Expansion for Online Social Network Advertising

HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer

Evaluating Mobile App Release

An Empirical Study on Recommendation with Multiple Types of Feedback

From Instrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks

Leveraging Knowledge Bases for Contextual Entity Exploration

Modeling Truth Existence in Truth Discovery

Distributed Personalization

Personalized Expertise Search at LinkedIn

Personalized Federated Search at LinkedIn

Transfer Learning for Bilingual Content Classification

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

Liquid: An Online Substrate for Big Data Integration

Network A/B Testing: From Sampling to Estimation

FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation

Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily

User Latent Preference Model for Better Downside Management in Recommender Systems

On the Discovery of Evolving Truth

Constrained Optimization for Homepage Relevance

Leveraging Pattern Semantics for Constructing Entity Taxonomies in Enterprises

A Context-Aware Approach to Detection of Short Irrelevant Texts

Query Workloads for Data Series Indexes

Ensuring High-performance of Mission-critical Java Applications in Multi-tenant Cloud Platforms

Modeling impression discounting in large-scale recommender systems

LinkedIn skills: large-scale topic extraction and inference

LASER: A Scalable Response Prediction Platform For Online Advertising

Where does the US stand in the international competition for talent? Evidence from LinkedIn Data

Hotspot Detection in a Service-Oriented Architecture

Modeling professional similarity by mining professional career trajectories

Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning

Migration of Professionals to the U.S. Evidence from LinkedIn Data

The Browsemaps: Collaborative Filtering at LinkedIn

Seven rules of thumb for web site experimenters

The role of network distance in linkedin people search

Budget pacing for targeted online advertisements at LinkedIn

Activity Ranking in LinkedIn Feed

Automatic Ad Format Selection via Contextual Bandits

Large-Scale Graph Mining for Recommendations

The Big Data ecosystem at LinkedIn

Find and be Found: Information Retrieval at LinkedIn

LinkedIn Endorsements: Reputation, Virality, and Social Tagging

Hourglass: a Library for Incremental Processing on Hadoop

Root cause detection in a service-oriented architecture

Social Search in a Professional Context

Structural Diversity in Social Recommender Systems

Using Naive Bayes to Detect Spammy Names in Social Networks

Using Set Cover to Optimize a Large-Scale Low Latency Distributed Graph

Generating Supplemental Content Information Using Virtual Profiles

Organizational overlap on social networks and its applications

Data Infrastructure at LinkedIn

Bridging Offline and Online Social Graph Dynamics

Social referral: leveraging network connections to deliver recommendations

Serving Large-Scale Batch Computed Data with Project Voldemort

Untangling Cluster Management with Helix

All Aboard the Databus! LinkedIn's Scalable Consistent Change Data Capture Platform

Bimodal invitation-navigation fair bets model for authority identification in a social network

Social Referral: Leveraging network connections to deliver recommendations

Key Lessons Learned Building Recommender Systems for Large-Scale Social Networks

Beyond Ratings and Followers

Multiple Objective Optimization in Recommendation Systems

Data Infrastructure at LinkedIn

Data By The People, For The People

Metaphor: A System for Related Search Recommendations

Avatara: OLAP for Web-scale Analytics Products

Content, Connections, and Context