2026
More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences
ICLR 2026poster
Recommender systems traditionally rely on the principle of Revealed Preference (RP), which assumes that observed user behaviors faithfully reflect underlying interests. While effective at scale, this assumption is fragile in practice, as real-world choices are often noisy and inconsistent. Thus, eve…