Recommender Systems: An Applied Approach using Deep Learning - Embeddings and User Context

What is an embedding in the context of deep learning?

How do embeddings ensure that similar entities are represented in a similar way?

Explain the process of model building in deep learning recommendation systems.

What is the significance of distance in the vector space for recommendations?

Describe how user context is utilized in the recommendation process.

Summarize the basic idea of how deep learning recommendation systems work.

What role do user and item embeddings play in making recommendations?