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Is that different from the cosine/angular similarity?
Hi,
i think that the dot product could be an improvement in performance, and easy to implement.
As
cosine_similarity(v1,v2) = dot_product(v1/v2)/(||v1|| * ||v2||)
using dot_product simplifies the computation as the magnitude of the vectors are not needed reducing the computation time to 1/3 of the original one,
And most of the funcitonality is there
Is there any plan to support inner product similarity measures?
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