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srowen avatar srowen commented on July 30, 2024

See http://yifanhu.net/PUB/cf.pdf and equation (4), which is what this is trying to implement. The solver is indeed solving for a variation on this equation, something like Qu*Y = Xu * (Yt * Y). The gramian term should be of the whole item matrix.

I admit it's been a long time since I looked at this code and it'd take a while to recall how the whole implementation works, but I think that much is right.

from oryx.

tianpunchh avatar tianpunchh commented on July 30, 2024

I see your point after looking at the original paper and your equation again. I think right now I understand your logic now, I hope I am right. The equation starts with

Qu*Y = Xu * (Yt * Y)

originally Qu should be the user interaction strength to all items, i.e., Qu is a vector of n rows representing n items. Now the assumption is that an interaction for item i has been updated while others not, that's why the "value" argument in function computeUpdatedXu() is a scalar double. What the code calculates is actually the change of Qu

dQu*Y = dXu * (Yt * Y)

The key is dQu has only one non-zero element dQui corresponds to item i updated by "value" input.
And dQu*Y = dQui * Yi, so this yields

dQui*Yi = dXu * (Yt * Y) where in the beginning I felt like the left and right hand side seems not consistent in Y or Yi

Regards,
Tian

from oryx.

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