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Scaling Netflix Entertainment Knowledge Graph with LLMs

KGC 2025 • 29m

Rajeev Kumar, Netflix, Senior Machine Learning Engineer
Himanshu Singh, Netflix, Engineering Manager
Jayadev Chandrasekhar, Netflix, Senior Machine Learning Engineer

Netflix's mission is to entertain the world with a broad and diverse range of tastes across 190 countries. We build and maintain an Entertainment Knowledge graph that helps deepen the understanding of the entertainment landscape as we continue to expand our global mission.

This talk explores the transformative role of Large Language Models (LLMs) in automating and scaling Netflix Entertainment Knowledge graph creation. We will discuss how LLMs can revolutionize traditional knowledge graph construction by streamlining processes such as information extraction, ontology development, entity resolution, and knowledge inference.

Specifically, we will delve into:

Extracting key entities and relationships from unstructured data sources.

Automating ontology development and refinement.

Improving the accuracy and efficiency of entity resolution.

Extending knowledge graphs with new information and insights.

Attendees will gain practical insights into designing robust, scalable, and efficient LLM-KG pipelines, paving the way for next-generation enterprise knowledge applications.

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