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

What is an embedding in the context of deep learning?

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

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

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

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Describe how user context is utilized in the recommendation process.

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

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

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