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Has anyone ever benchmarks this package on the MovieLens datasets? I'm looking at this for the first time and trying to figure out what hyperparamers need to be tuned to get good performance.
Thanks!
~ Ben
EDIT: Related -- if anyone has a pointer to a properly parameterized example of using this library, that'd also be super helpful.
The text was updated successfully, but these errors were encountered:
I'm not sure anyone has tried QMF on MovieLens, but iirc MovieLens consists of data with explicit feedback (i.e. ratings, while QMF deals with implicit data, like "clicks")?
Either way, if you do try it out, let us know how it does!
I think it's fine to binarize MovieLens and treat it as implicit feedback -- the number of movies reviewed per user is pretty small. Then you try to optimize eg. the p@k over some held out data split.
Hi All --
Has anyone ever benchmarks this package on the MovieLens datasets? I'm looking at this for the first time and trying to figure out what hyperparamers need to be tuned to get good performance.
Thanks!
~ Ben
EDIT: Related -- if anyone has a pointer to a properly parameterized example of using this library, that'd also be super helpful.
The text was updated successfully, but these errors were encountered: