Generating Top-N Recommendations for the Recommendation System

[PurushothamanSrikanth]

@Chinmayrane16 Can we have Top-N recommendation as a new feature to the existing one?
We can generate Top-N recommendations from the rating prediction matrix.

This is a feature request 😇

[Chinmayrane16]

@PurushothamanSrikanth Yes, it is possible and fairly simple. At inference, we can get the Top-N indexes (movies) from the user's rating vector with the maximum scores.

Do you wish to proceed and make a PR? ;)

[PurushothamanSrikanth]

@PurushothamanSrikanth Yes, it is possible and fairly simple. At inference, we can get the Top-N indexes (movies) from the user's rating vector with the maximum scores.

Do you wish to proceed and make a PR? ;)

• That's great. I'm trying that, but I'm not able to do it properly.

[PurushothamanSrikanth]

@PurushothamanSrikanth Yes, it is possible and fairly simple. At inference, we can get the Top-N indexes (movies) from the user's rating vector with the maximum scores.
Do you wish to proceed and make a PR? ;)

• That's great. I'm trying that, but I'm not able to do it properly.

@Chinmayrane16 Are u talking about out matrix in [Training_Deep_AE.ipynb] ?(https://github.com/Chinmayrane16/DeepRecommender/blob/master/Training_Deep_AE.ipynb)

[Chinmayrane16]

@PurushothamanSrikanth Yeah, you could use that. Choose a particular index (user) and take its rating vector and select Top-N maximum indexes.
Map those indexes back to Movie names. :)

[PurushothamanSrikanth]

@PurushothamanSrikanth Yeah, you could use that. Choose a particular index (user) and take its rating vector and select Top-N maximum indexes.

Map those indexes back to Movie names. :)

Will give that a try