Recommender system domain example with BST and movielens

[jiwidi]

Before submitting

• [Y] Was this discussed/approved via a Github issue? (no need for typos and docs improvements)
• [N] Did you make sure to update the docs?
• [N] Did you write any new necessary tests?

What does this PR do?

Adds a recommendation example using pytorch lightning and torchmetrics. It implements the BST model from alibaba for the movielens dataset. Comes from this issue https://github.com/PyTorchLightning/pytorch-lightning/issues/8335

This is the initial PR to start discussing how to shape the tutorial and get feedback to do any neccesary changes.

Did you have fun?

Yes :)

Questions

I read the following statement on the main readme fully reproducible by saving runtime env. details but havent seen any tutorial with such files inside their folder. Where are this env details stored?

Regarding docs, where and what changes should be made when adding a new example?

[Borda]

@jiwidi how is it going here, still just a draft? :rabbit:

[jiwidi]

@jiwidi how is it going here, still just a draft? 🐰

Hi! sorry for the delayed answer. There is some minor changes I still want to do. I will take on them during this weekend and should be ready for review :)

[Borda]

There is some minor changes I still want to do. I will take on them during this weekend and should be ready for review :)

Sure, just ping us when it is ready to review... :]

[codecov[bot]]

Codecov Report

Merging #101 (b6f546f) into main (caebc8f) will not change coverage. The diff coverage is n/a.

Additional details and impacted files

@@         Coverage Diff         @@
##           main   #101   +/-   ##
===================================
  Coverage    73%    73%           
===================================
  Files         2      2           
  Lines       382    382           
===================================
  Hits        280    280           
  Misses      102    102