mirror of
https://github.com/qdrant/landing_page.git
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Andrey Vasnetsovandtrean
b9b8417c62
* gdpr popup * gdpr + google analytics + small fixes * privacy policy Co-authored-by: trean <trean.mi@gmail.com>
23 lines
828 B
Markdown
23 lines
828 B
Markdown
---
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title: Recommendations
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icon: advertising
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tabid: recommendations
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landing_image: /content/images/abstract_cubes_3.svg
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image: /content/images/recommendations.png
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image_caption: History-based Recommendations
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default_link:
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default_link_name:
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weight: 30
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short_description: |
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User behavior can be represented as a semantic vector is similar way as text or images.
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Qdrant allows you to create a recommendation engine with custom filters and real-time updates.
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No need to deploy a MapReduce cluster.
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---
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User behavior can be represented as a semantic vector is similar way as text or images.
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This vector can represent user 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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Understand user behavior in real time. |