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Right now, we only support measuring top-N recommendation lists that have been pre-generated. For unlimited-length lists on large data files, this is infeasible.
We need a 'recommend-and-measure' API that computes metrics over recommendation lists without needing to store the lists in memory. There are two ways we could do this:
add a method to RecListAnalysis
add a batch.recommend_and_measure function
The text was updated successfully, but these errors were encountered:
Right now, we only support measuring top-N recommendation lists that have been pre-generated. For unlimited-length lists on large data files, this is infeasible.
We need a 'recommend-and-measure' API that computes metrics over recommendation lists without needing to store the lists in memory. There are two ways we could do this:
RecListAnalysis
batch.recommend_and_measure
functionThe text was updated successfully, but these errors were encountered: