Preprint Open access
Beyond Successor Accuracy: State Retention for Recursive Self-Improvement in Recommendation
Recommendation recursive self-improvement (Rec-RSI) feeds recommender outputs into subsequent training. Evaluating each round solely through its latest model assumes that the successor consolidates the update, although pre- and post-update models may retain complementary ranking decisions. We term this \emph{distribute …