CASE: Cadence-Aware Set Encoding for Large-Scale Next Basket Repurchase Recommendation

ArXi:2604.06718v1 Announce Type: cross Repurchase behavior is a primary signal in large-scale retail recommendation, particularly in categories with frequent replenishment: many items in a user's next basket were previously purchased and their timing follows stable, item-specific cadences. Yet most next basket repurchase recommendation models represent history as a sequence of discrete basket events indexed by visit order, which cannot explicitly model elapsed calendar time or update item rankings as days pass between purchases.