DeepRecommender
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Chinmayrane16
Generating Top-N Recommendations for the Recommendation System
@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 😇
@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 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 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)
@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 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