T. Gulliver

Prediction–Ranking Trade-Offs in Latent-Factor Recommenders: An Uncertainty-Aware Selection Framework

When numerical predictions and ranked recommendations have task value, selection must expose their trade-offs. We examine selection consequences and incremental uncertainty value in biased matrix factorization. Across 35 configurations and four training-evidence levels on MovieLens 1M, CiaoDVD and Yelp–Tampa, validatio...