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hi, I'm confused with the parameter item_bias. I just read the original paper("BPR").
self.item_bias = np.zeros(self.num_items)
Would you please figure out the related formula in the original paper?
And does the "bias" like in LR(logistic regression): wx+b? In MF(matrix factorization), I'm not clear about the bias.
The text was updated successfully, but these errors were encountered:
kiminh
changed the title
what does the item_bias comes from?
what does the item_bias mean?
Jan 17, 2017
hi, I'm confused with the parameter item_bias. I just read the original paper("BPR").
self.item_bias = np.zeros(self.num_items)
Would you please figure out the related formula in the original paper?
And does the "bias" like in LR(logistic regression): wx+b? In MF(matrix factorization), I'm not clear about the bias.
The text was updated successfully, but these errors were encountered: