8000 (Feature) Recommend top N items given a user · Issue #9 · gbolmier/funk-svd · GitHub
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(Feature) Recommend top N items given a user #9
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(Feature) Recommend top N items given a user#9
@BradKML

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@BradKML
BradKML
opened on Mar 31, 2021

Querying every item on the table would be inefficient. There could be a way to make this process simpler by multiplying a user's vector with the whole item matrix.
Guessing: np.dot(self.pu_[u_ix], self.qi_) + self.bi_+ self.bu_[u_ix]

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