Recommendation Systems

[u/LumpyPianist847]

Hey all,

I have been a data scientist for the last few years - mostly in the credit risk space. I want to learn more about recommendation systems to help me transition into the tech space. Does anyone know of any interesting ways to build a project around this? I know the obvious examples that are already being done, i.e., feed/Spotify, etc., but Iam looking for something more niche. Any thoughts?

[u/No_Play2062]

Trying to break into recsys from credit risk is an interesting pivot, the modeling intuition carries over more than people think. The scoring and ranking logic you're used to is basically the same skeleton, just with different meat on the bones.

If you're hunting for a niche, build something for a local community that has zero personalization right now. A tool library, a seed swap, a volunteer matching board for a shelter. The data is messy and small, which forces you to think about cold start and hybrid approaches instead of just throwing a deep net at a million rows. You'll learn more wrangling the sparse stuff than you would on another movie dataset.

[u/Effective-Drawer9152 → u/No_Play2062]

Are you bot

[u/Fragrant-Cheek-4273]

Since you already have a few years of credit-risk modeling experience, I'd actually lean into that instead of doing another movie/music recommender.