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Transitioning from Graph Approaches to Recommender Systems
Exploration of the speaker's shift from graph approaches to recommender systems, emphasizing similarities in graph embeddings and numerical optimization. Highlights on understanding inner products, cosine similarity, and matrix factorization in recommender contexts.