OpML 2019
TonY: An Orchestrator for Distributed Machine Learning Jobs
Research
We regularly contribute to and share research with the broader industry. Check out a sampling of our most recent research or browse our collection from past events.
Research
We regularly contribute to and share research with the broader industry. Check out a sampling of our most recent research or browse our collection from past events.
Spotlights
The Web Conference 2019
Entity Personalized Talent Search Models with Tree Interaction Features
Research Catalog
OpML 2019
TonY: An Orchestrator for Distributed Machine Learning Jobs
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OpML 2019
TonY: An Orchestrator for Distributed Machine Learning Jobs
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WWW 2019
Entity Personalizedx Talent Search Models with Tree Interaction Features
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SIGMOD 2019
Nanosecond Indexing of Graph Data With Hash Maps and VLists
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CIKM 2018
PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn
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CIKM 2018
In-Session Personalization for Talent Search
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Conference on Digital Experimentation (CODE) 2018
Measuring Long-term Impact of Ads on LinkedIn Feed
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SIGIR 2018
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned
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Kafka Summit 2018
More Data, More Problems: Scaling Kafka-Mirroring Pipelines at LinkedIn
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Economic Graph Research Project
Academic Research Partners + Economic Graph Data
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Economic Graph Research Project
Academic Research Partners + Economic Graph Data
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KDD 2018
Collection of Papers & Tutorials
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KDD 2018
Collection of Papers & Tutorials
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NIPS 2017
Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences
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In partnership with MIT
Detecting Network Effects:Randomizing Over Randomized Experiments
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Research Collaboration
Ground: A Data Context Service
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KDD 2017
Collection of Papers & Tutorials
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KDD 2017
Collection of Papers & Tutorials
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NIPS 2017
Video to Skill Tagging using Transcripts under Weak Supervision
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VLDB 2016
Collection of Papers & Tutorials
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KDD 2016
Collection of Papers & Tutorials
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KDD 2016
Collection of Papers & Tutorials
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Research Spotlight
Moolle: Fan-out Control for Scalable Distributed Data Store
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NDSS 2016
Who Are You? A Statistical Approach to Measuring User Authenticity
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SIGMOD 2016
Truss Decomposition of Probabilistic Graphs: Semantics and Algorithms
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KDD 2016
Email Volume Optimization at LinkedIn
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WWW 2016
Importance of First Steps in a Community for Growth, Diversity, and Engagement
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WWW 2016
Importance of First Steps in a Community for Growth, Diversity, and Engagement
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SIGMOD 2016
Ambry: LinkedIn's Scalable Geo-Distributed Object Store
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Research Spotlight
Learning to Rank Personalized Search Results in Professional Networks
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Research Spotlight
Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems
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KDD 2016
Evaluating Mobile App Release
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WWW 2016
Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn
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KDD 2016
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay
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KDD 2016
Audience Expansion for Online Social Network Advertising
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WWW 2016
HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer
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KDD 2016
An Empirical Study on Recommendation with Multiple Types of Feedback
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KDD 2015
From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks
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KDD 2015
Leveraging Knowledge Bases for Contextual Entity Exploration
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KDD 2015
Modeling Truth Existence in Truth Discovery
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KDD 2015
Distributed Personalization
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IEEE Big Data Conference 2015
Personalized Expertise Search at LinkedIn
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CIKM 2015
Personalized Federated Search at LinkedIn
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KDD 2015
Transfer Learning for Bilingual Content Classification
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KDD 2015
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
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Conference on Innovative Data Systems Research
Liquid: An Online Substrate for Big Data Integration
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WWW 2015
Network A/B Testing: From Sampling to Estimation
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KDD 2015
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation
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WWW 2015
Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily
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WWW 2015
User Latent Preference Model for Better Downside Management in Recommender Systems
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KDD 2015
On the Discovery of Evolving Truth
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WWW 2015
Constrained Optimization for Homepage Relevance
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WWW 2015
Leveraging Pattern Semantics for Constructing Entity Taxonomies in Enterprises
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DSAA 2015
A Context-Aware Approach to Detection of Short Irrelevant Texts
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KDD 2015
Query Workloads for Data Series Indexes
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CLOUD 2014
Ensuring High-performance of Mission-critical Java Applications in Multi-tenant Cloud Platforms
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KDD 2014
Modeling impression discounting in large-scale recommender systems
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RecSys 2014
LinkedIn skills: large-scale topic extraction and inference
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WSDM 2014
LASER: A Scalable Response Prediction Platform For Online Advertising
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PAA 2014
Where does the US stand in the international competition for talent? Evidence from LinkedIn data
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CIKM 2014
Hotspot Detection in a Service-Oriented Architecture
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KDD 2014
Modeling professional similarity by mining professional career trajectories
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Conference on Web Search and Data Mining
Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning
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SocInfo 2014
Migration of Professionals to the U.S. Evidence from LinkedIn data
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RSWeb 2014
The Browsemaps: Collaborative Filtering at LinkedIn
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KDD 2014
Seven rules of thumb for web site experimenters
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SIGIR 2014
The role of network distance in linkedin people search
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KDD 2014
Budget pacing for targeted online advertisements at LinkedIn
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Big 2014
Activity Ranking in LinkedIn Feed
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CIKM 2013
Automatic Ad Format Selection via Contextual Bandits
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SIGMOD 2013
The Big Data ecosystem at LinkedIn
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SIGIR 2013
Find and be Found: Information Retrieval at LinkedIn
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Strata 2013
LinkedIn Endorsements: Reputation, Virality, and Social Tagging
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IEEE BigData 2013
Hourglass: a Library for Incremental Processing on Hadoop
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SIGMETRICS 2013
Root cause detection in a service-oriented architecture
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CIKM 2013
Social Search in a Professional Context
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RSWeb 2013
Structural Diversity in Social Recommender Systems
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AISec 2013
Using Naive Bayes to Detect Spammy Names in Social Networks
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HotCloud 2013
Using Set Cover to Optimize a Large-Scale Low Latency Distributed Graph
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RecSys 2013
Generating Supplemental Content Information Using Virtual Profiles
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WWW 2013
Organizational overlap on social networks and its applications
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ICDE 2012
Data Infrastructure at Linkedin
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CIKM 2012
Bridging Offline and Online Social Graph Dynamics
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RecSys 2012
Social Referral: Leveraging Network Connections to Deliver Recommendations
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FAST 2012
Serving Large-Scale Batch Computed Data with Project Voldemort
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SoCC 2012
Untangling Cluster Management With Helix
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SoCC 2012
All Aboard the Databus! LinkedIn's Scalable Consistent Change Data Capture Platform
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WWW 2012
Bimodal Invitation-Navigation Fair Bets Model for Authority Identification in a Social Network
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KDD 2012
Key Lessons Learned Building Recommender Systems for Large-Scale Social Networks
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RecSys 2012
Beyond Ratings and Followers
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RecSys 2012
Multiple Objective Optimization in Recommendation Systems
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CIKM 2012
Data By The People, For The People
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CIKM 2012
Metaphor: A System for Related Search Recommendations
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VLDM 2012
Avatara: OLAP for Web-scale Analytics Products
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RecSys 2012
Content, Connections, and Context
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HCIR 2011
Faceted Search Log Query Analysis
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HCIR 2011
Social Navigation: A Position Paper
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HCIR 2011
Human-Computer Interaction and Information Retrieval
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Cambridge University Press
Scaling Up Machine Learning: Parallel and Distributed Approaches
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WWW 2011
Efficiently Evaluating Graph Constraints in Content-based Publish/Subscribe
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SIGIR 2011
Identifying Similar People In Professional Social Networks with Discriminative Probabilistic Models
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HCIR 2011
Is it Time to Abandon Abandonment?
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VLDB 2011
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore
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KDD 2011
High-Precision Phrase-Based Document Classification on a Modern Scale
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RecSys 2011
Recommendations as a Conversation with the User
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WWW 2010
Modeling relationship strength in online social networks
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CIKM 2008
The social (open) workspace
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