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magicalhippo
1y ago
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I've got some similar use-cases. So, do I understand correctly that you take the source keyword and generate an embedding vector of it, then compare it using dot-product similarity or something to the embedded vectors of the target keywords?
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anamexis
1y ago
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Exactly, although we use cosine similarity.
magicalhippo
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1y ago
Perfect. And yeah that's what I meant, so used to just normalizing vectors so dot product = cosine.
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