Serving the most relevant information for LinkedIn members in the homepage feed requires a massive effort—hundreds of features are used to personalize content for hundreds of millions of members. For each homepage visit, our machine learning models have to find and surface the best activity across a member's whole network, and they have to source that content...
Metadata Articles
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Co-authors: Kerem Sahin, Mars Lan, and Shirshanka Das Finding the right data quickly is critical for any company that relies on big data insights to make data-driven decisions. Not only does this impact the productivity of data users (including analysts, machine learning developers, data scientists, and data engineers), but it also has a direct impact on end...
- Topics:
- Metadata,
- infrastructure,
- Data,
- Open Source
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Co-authors: Mars Lan, Seyi Adebajo, Shirshanka Das Editor’s note: Since publishing this blog post, the team open sourced DataHub in February 2020. You can read more on the journey of open sourcing the platform here. As the operator of the world’s largest professional network and the Economic Graph, LinkedIn’s Data team is constantly working on scaling its...
- Topics:
- Metadata,
- data science,
- infrastructure,
- Data