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Mastering Python for Data Science by Samir Madhavan

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Summary

In this chapter, you learned how to perform user-based and item-based collaborative filtering. You also learned some of the metrics that can be used to compute the similarity between users as well as items, and how to apply this similarity to generate recommendations for end users.

The next chapter will cover different ensemble models that basically combine multiple models to increase the performance of predictions.

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