rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation

Large language models can improve recommendation quality by reasoning explicitly over user history and candidate items - for example, extracting a user's preferences or explaining why one item fits better than another - rather than mapping history directly to a ranked list. This reasoning, however, ...