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fix notebook link

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davidmyriel
2024-06-25 16:14:59 -07:00
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commit 3e56bcf356
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qdrant-landing/content/documentation/tutorials/collaborative-filtering.md
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@@ -9,7 +9,7 @@ weight: 23
# Create a collaborative filtering system
| Time: 45 min | Level: Intermediate | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/infoslack/qdrant-example/blob/main/sparse-vectors/collaborative-filtering.ipynb) | |
| Time: 45 min | Level: Intermediate | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/qdrant/examples/blob/master/collaborative-filtering/collaborative-filtering.ipynb) | |
|--------------|---------------------|--|----|
Every time Spotify recommends the next song from a band you've never heard of, it uses a recommendation algorithm based on other users' interactions with that song. This type of algorithm is known as **collaborative filtering**.
@@ -28,7 +28,7 @@ Fortunately, there is a way to build collaborative filtering systems without any
To implement this, you will use a simple yet powerful resource: [Qdrant with Sparse Vectors](https://qdrant.tech/articles/sparse-vectors/).
Notebook: [You can try this code here](https://github.com/infoslack/qdrant-example/blob/main/sparse-vectors/collaborative-filtering.ipynb)
Notebook: [You can try this code here](https://githubtocolab.com/qdrant/examples/blob/master/collaborative-filtering/collaborative-filtering.ipynb)
### Setup
@@ -247,7 +247,7 @@ display(HTML(html_content))
```
## Recommendations
For a complete display of movie posters, check the [notebook output](https://github.com/infoslack/qdrant-example/blob/main/sparse-vectors/collaborative-filtering.ipynb). Here are the results without html content.
For a complete display of movie posters, check the [notebook output](https://github.com/qdrant/examples/blob/master/collaborative-filtering/collaborative-filtering.ipynb). Here are the results without html content.
```bash
Toy Story, Score: 131.2033799