Google (source code)
= Google
{c}
<Google> is the organizational author of the recommendation-system course cited here. Its candidate-generation explanation connects learned item and query <vectors> with similarity search. The choice between <dot product>, cosine similarity and <Euclidean distance> can change the selected items; normalizing vectors makes these particular rankings equivalent. This gives a concrete computational contribution of the cited documentation rather than treating the organization name as a technical method.<Candidate generation overview by Google>[Embedding space and Similarity measures]{ref}
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