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adds collaborative filtering notebook example (#36)
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README.md

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@@ -99,6 +99,7 @@ For further insights on enhancing RAG applications with dense content representa
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| Recipe | Description |
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| --- | --- |
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| [/recommendation-systems/content_filtering.ipynb](python-recipes/recommendation-systems/content_filtering.ipynb) | Intro content filtering example with redisvl |
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| [/recommendation-systems/collaborative_filtering.ipynb](python-recipes/recommendation-systems/collaborative_filtering.ipynb) | Intro collaborative filtering example with redisvl |
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### See also
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An exciting example of how Redis can power production-ready systems is highlighted in our collaboration with [NVIDIA](https://developer.nvidia.com/blog/offline-to-online-feature-storage-for-real-time-recommendation-systems-with-nvidia-merlin/) to construct a state-of-the-art recommendation system.

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