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

A developer published a series on building a rock music recommendation system using ML.NET and ASP.NET Core, covering the complete workflow from training to model evaluation and API deployment.

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-recommendation-systems-work https://devfullstack.net/blog/how-to-evaluate-a-recommendation-model https://devfullstack.net/blog/how-to-evaluate-a-recommendation-model https://devfullstack.net/blog/training-a-rock-recommender-with-mlnet https://devfullstack.net/blog/training-a-rock-recommender-with-mlnet https://devfullstack.net/blog/evaluating-the-rock-recommender https://devfullstack.net/blog/evaluating-the-rock-recommender https://devfullstack.net/blog/building-the-rock-recommender-api https://devfullstack.net/blog/building-the-rock-recommender-api