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Generating Top-N Recommendations for the Recommendation System #112

Closed PurushothamanSrikanth closed 3 years ago

PurushothamanSrikanth commented 3 years ago

How to Generating Top-N Recommendations for the Recommendation System?

miguelgfierro commented 3 years ago

The right way of doing it is by changing the loss function to a ranking loss (like pair-wise loss).

An easier path, but not totally correct but that many people do, is to get the results the predictions, sort them and get the top-N. It is not correct because the loss is not intended for the task of ranking. But again, it is a technique that many people use because it is easier.

PurushothamanSrikanth commented 3 years ago

The right way of doing it is by changing the loss function to a ranking loss (like pair-wise loss).

An easier path, but not totally correct but that many people do, is to get the results the predictions, sort them and get the top-N. It is not correct because the loss is not intended for the task of ranking. But again, it is a technique that many people use because it is easier.

@miguelgfierro Can we have this Top-N recommendation as a new feature to the existing one? #112 We can generate Top-N recommendations from the rating prediction matrix.

This is a feature request 😇