FAIRNESS-AWARE RECOMMENDER SYSTEMS IN PRACTICE: A SCOPING REVIEW OF MODELS, EVALUATION PROTOCOLS, AND OPEN CHALLENGES
The findings indicate that fairness-aware recommender systems increasingly integrate fairness objectives with recommendation performance, while highlighting persistent gaps in evaluation standardization, real-world deployment, scalability, interpretability, and cross-domain validation.
E. O. Ayiku, Ebenezer Tetteh
· Magna Scientia Advanced Rese... · 0 citations