Spectral Biclustering-Driven Scalability for Post-Hoc Explainability in Recommender Systems

Explainability in recommender systems is essential for ensuring transparency, accountability, and trust, yet existing post-hoc methods often encounter severe scalability challenges. Observation-level deletion diagnostics offer a counterfactual way to analyze recommendations by retraining models afte...