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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 do
by magicalhippo 2y ago
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?
- anamexis 2y agoExactly, although we use cosine similarity.
- magicalhippo 2y agoPerfect. And yeah that's what I meant, so used to just normalizing vectors so dot product = cosine.