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ludovikcoba avatar ludovikcoba commented on July 4, 2024

That wouldn't be that much trouble for me. But consider the fact that I am doing k-fold cross validation, so you will get k values of the nDCG for each user.
If you are interested only in the nDCG(on each user), I can implement a new function only for that.
Let me know.

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jonnylee719 avatar jonnylee719 commented on July 4, 2024

Yea, I had a look at the code, there are k values of the nDCG for each user. But you normally only get the nDCG per fold as the result rather than the individual k values of the nDCG for each user or the nDCG (on each user). Please do tell me if I am mistaken.

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ludovikcoba avatar ludovikcoba commented on July 4, 2024

You are right, the nDCG function computes it on each user and later it is computed over the entire fold(the reported value) on the evalPred function, this operation is repeated k-times.

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jonnylee719 avatar jonnylee719 commented on July 4, 2024

So do you think it would be useful to also provide individual nDCF per user so that we can compare the performance between algorithms by statistical tests like t-test or Wilcoxon rank sum test?

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ludovikcoba avatar ludovikcoba commented on July 4, 2024

Depends on what you are trying to achieve. In this implementation I followed literature and as well other implementation in popular recommender environments. Let me point out that this is not an Issue but it stands more as a request, which I would be glad to help you out with.

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jonnylee719 avatar jonnylee719 commented on July 4, 2024

Yea it is a request, and I am very grateful and glad to hear that you would be able to help. Thank you! And I apologize if I came across as being ill-mannered at any point.

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ludovikcoba avatar ludovikcoba commented on July 4, 2024

You weren't ill-mannered at all, but let me close the issue and we can continue the discussion via e-mail.

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