OpML 2019
TonY: An Orchestrator for Distributed Machine Learning Jobs
Spotlights
Research Catalog
Filters
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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
