Building a Rock Music Recommender with ML.NET: From Training to Model Evaluation

I’ve just published a practical series about building a music recommendation system using ML.NET and ASP.NET Core.

The goal wasn’t just to train a recommendation model, but to explain the complete workflow, from understanding how recommendation systems work to evaluating whether the model is actually good enough to be used in a real application.

The series covers:
🎸 How recommendation systems work
📊 How to evaluate a recommendation model
🤖 Training a rock music recommender with ML.NET
📈 Evaluating the recommender’s performance
🚀 Exposing the model through an ASP.NET Core Web API

Articles:
https://devfullstack.net/blog/how-recommendation-systems-work

https://devfullstack.net/blog/how-to-evaluate-a-recommendation-model

https://devfullstack.net/blog/training-a-rock-recommender-with-mlnet

https://devfullstack.net/blog/evaluating-the-rock-recommender

https://devfullstack.net/blog/building-the-rock-recommender-api