Imagine a tool that can store and connect all the information you need to make decisions and solve problems. Most people would say it’s nice to think about, but not yet possible. The good news is this tool already exists - and it’s called a graph database. At LinkedIn, technologies like graph databases are essential to powering today's platform, while being...
knowledge graph Articles
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- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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Based in Silicon Valley, Priya serves on LinkedIn Engineering’s Technical Program Management (TPM) team, supporting our large-scale, AI and Knowledge Graph programs. A mom of two and co-founder of a dance nonprofit, she spotlights for us the TPM specialty at LinkedIn, her transition from product manager to TPM, the transition from contractor to full-time, and...
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Co-authors: Jaewon Yang, Jiatong Chen, and Yanen Li Introduction LinkedIn members are able to enrich their profiles with information about themselves, like professional history, education, skills, and so on. From members’ inputs, we use AI models to extract their profile attributes or profile entities. This process is called Standardization and Knowledge Graph...
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Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: This is the second part of a two-part blog series. Part 1...
- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: In this two-part blog series, we introduce LIquid, a new...
- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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Authors: Qi He, Bee-Chung Chen, Deepak Agarwal A shorter version of this post first appeared on Pulse, our main publishing platform at...
- Topics:
- machine learning,
- data science,
- knowledge graph