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20 lines
631 B
Markdown
20 lines
631 B
Markdown
---
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title: Recommendation engines
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icon: advertising
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image:
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source_link:
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demo_link:
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tutorial_link:
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custom_link:
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custom_link_name:
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weight: 30
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---
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Users, like text and pictures, can be represented as a semantic vector.
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This vector can represent the user's preferences, behavior patterns, or interest in the product.
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With Qdrant, user vectors can be updated in real-time, no need to deploy a MapReduce cluster.
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Besides, Qdrant will allow you to place arbitrary restrictions on recommendations.
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What if the user signed up 3 days ago and premium offers are in effect for him?
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Qdrant will be able to handle this and such conditions.
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