Embedding

Recommendation Systems (5): Embedding and Representation Learning

How modern recommenders learn dense vector representations for users and items: Word2Vec / Item2Vec, Node2Vec, two-tower DSSM and YouTube DNN, negative sampling, FAISS/HNSW serving, and how to evaluate embedding quality. …