Smart Drink Discovery - Flavor Talks

What this episode covers

This podcast explores how graph databases and data analytics can help people discover beverages that match their tastes and preferences. It discusses recommendation systems, connected data, and the use of Neo4j to uncover relationships between flavors, ingredients, and consumer choices. Perfect for technology enthusiasts, data professionals, and beverage lovers interested in the intersection of analytics and personalized recommendations.

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Frequently Asked Questions

How long is this episode of Flavor Talks?

This episode is 49 minutes long.

When was this Flavor Talks episode published?

This episode was published on January 20, 2024.

What is this episode about?

This podcast explores how graph databases and data analytics can help people discover beverages that match their tastes and preferences. It discusses recommendation systems, connected data, and the use of Neo4j to uncover relationships between...

Can I download this Flavor Talks episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.