How LinkedIn Uses XGBoost

The article discusses the development of LinkedIn's 'People You May Know' (PYMK) recommendation system, detailing its architecture and the challenges faced in scaling its scoring mechanism to handl...

The article discusses how LinkedIn enhances its content moderation efforts through a new framework that utilizes machine learning for dynamic content prioritization.

The article introduces FastTreeSHAP, an open-source Python package designed to accelerate SHAP value computations for tree-based models.

The article discusses DARWIN, LinkedIn's unified Data Science and Artificial Intelligence Workbench, designed to streamline the workflows of data scientists and AI engineers by centralizing various...

The article discusses the implementation of multi-task learning for homepage feed ranking at LinkedIn using TensorFlow.

The article discusses the innovative approach taken by LinkedIn to enhance site capacity projections using the Capacity Analyzer.

Dagli is an open-source machine learning library designed for Java and other JVM languages, aimed at simplifying the creation of model pipelines while minimizing technical debt.

The article discusses Pensieve, an embedding feature platform developed by LinkedIn for pre-computing and publishing entity embeddings used in AI models for Talent Solutions and Careers.

The article discusses the development of a heterogeneous social network recommendation system at LinkedIn, focusing on the 'People You May Know' feature.

The article highlights the top ten engineering blogs from LinkedIn in 2019, focusing on popular topics such as open source, artificial intelligence, and technical challenges at scale.

The article discusses the optimization of LinkedIn's feed through a community-focused approach, emphasizing machine learning algorithms for candidate selection and the infrastructure improvements t...

The article discusses the AI algorithms behind LinkedIn Jobs, focusing on how they learn hiring preferences through online learning techniques.

The article discusses LinkedIn's initiative to scale machine learning productivity through the Pro-ML program, which aims to enhance the effectiveness of machine learning engineers and democratize ...