Content recommendation engine for student platforms — built as a learning project, open sourced
Built a content recommendation system as my AI/ML project at CU. Uses collaborative filtering plus content-based signals to personalise a reading feed. Not deployed anywhere serious yet but the code is clean and the approach is explained in the README. Open sourcing it because I learned a lot from other people doing the same.
Discussion · 13
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Upvoted. Sharing in my lab group.
Great execution. The core idea is solid and the implementation reflects real experience.
Already recommended this to three people in my batch.
This is exactly what I needed. The problem is real and the solution is clean.
Exactly what our batch needed right now. Timing is perfect.
This is the kind of thing that comes from actually experiencing the problem firsthand.
Impressed by how focused the scope is. Good call not trying to do too much.
Shared this with my batch. Multiple people have already found it useful.
This addresses a gap I have felt for a while. Well scoped.
This is exactly what I needed. The problem is real and the solution is clean.
The description says exactly what it does. Refreshing compared to most project pages.
Exactly what our batch needed right now. Timing is perfect.
Clean product. Does one thing well. That is harder than it looks.