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massquantity / LibRecommender

Versatile End-to-End Recommender System
https://librecommender.readthedocs.io/
MIT License
331 stars 58 forks source link

Feature importance #144

Open Saartjes opened 1 year ago

Saartjes commented 1 year ago

I am really impressed by the library you have build. I am currently using it with my own dataset to recommend items to users. I do notice however, and this seems to be an issue with most algorithms out there, that the performance of a model is heavily dependent on the side-features used. Some configurations of features seem to work really well while others seem to decimate the performance.

I was wondering if there is any way to retrieve the importance of features using a trained model. This could be helpful in selecting which features should be included in the training.

Is there any model in your library capable of doing this?

massquantity commented 1 year ago

I think no model can do that in this library.