- Recommendation and Similarity Search
In this workshop we are going to learn about recommender systems as a type of UML. Such systems are probably the most widely used and commercialy valuable form of AI today. Specifically we will be looking into collaborative filtering and matrix factorization.
Plan for today
- Collaborative filtering / SVD recommender using Nomadlist Trips-data in a Notebooks
- Streamlit recommender-app
Notebook(s)
- Nomadlist Trips Notebook
- Nomadlist Trips Notebook Solutions
- Recap Nomadlist Trips Notebook
- Recap Similarity Notebook
- Recap Dimensionality Reduction
- Class UML Exemple cosine similarity
App
Recommended Readings and resources
- This excellent PyData Talk by the developer of LightFM