Tag: recommender systems

This project accompanies our paper published at SPLC 2023, which explores how feature models can be integrated into constraint-based recommender systems. The core contribution is a set of runtime analysis operations that go beyond static feature model analysis — designed to work in dynamic, real-world recommendation contexts. We demonstrate the approach with a concrete case…