7min chapter

How AI Is Built  cover image

Numbers, categories, locations, images, text. How to embed the world? | S2 E9

How AI Is Built

CHAPTER

Embedding Complexity in Recommendation Systems

This chapter explores the intricacies of transforming diverse data types into embeddings for recommendation systems, emphasizing geographical and user behavior representations. It discusses the significance of collaborative filtering, matrix factorization, and innovative methods for managing temporal data to enhance the effectiveness of user recommendations.

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