# How Data Scientists Use Knowledge Graphs for Recommendation Systems

Page: https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-use-knowledge-graphs-for-recommendation-systems
Text version: https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-use-knowledge-graphs-for-recommendation-systems.md
Podcast: [The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations](https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831)
Published: 2026-07-16T08:39:27+00:00
Episode link: https://audio.fexingo.com/business/the-data-science-podcast/episode-0113.mp3
Audio file: https://audio.fexingo.com/business/the-data-science-podcast/episode-0113.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/episodes/how-data-scientists-use-knowledge-graphs-for-recommendation-systems
Duration seconds: 498

## Resource

On this episode of The Data Science Podcast, Lucas and Luna explore how knowledge graphs are transforming recommendation systems beyond traditional collaborative filtering. They dive into a real-world case from a major e-commerce platform that improved cross-category discovery by 22 percent using graph-based embeddings. The conversation covers the trade-offs between graph neural networks and embedding-based methods, the challenge of cold-start items, and why encoding user intent as relational paths matters more than ever. If you've ever wondered why your streaming service suggests a documentary about fungi after you watched a true crime series, this episode explains the graph structure behind that leap. #KnowledgeGraphs #RecommendationSystems #GraphNeuralNetworks #Embeddings #AI #MachineLearning #DataScience #Ecommerce #ColdStart #UserIntent #GraphBasedML #Technology #FexingoBusiness #BusinessPodcast #DataSciencePodcast #GraphAlgorithms #Personalization #GraphEmbeddings Keep every episode free: buymeacoffee.com/fexingo

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/episodes/how-data-scientists-use-knowledge-graphs-for-recommendation-systems/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-use-knowledge-graphs-for-recommendation-systems.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.