AI search research

Food delivery recommendation is now two-stage: guess the craving, then rank the vendors

For repeat orders, ranking is no longer pure CTR prediction: cuisine prediction comes first, vendor ranking second, and the LLM works in the re-ranking step.

Framework: MARS splits repeat-order recommendation into two stages — cuisine prediction, then vendor ranking — combining LightGCN global preference signals, Swing-based local peer evidence, geospatial filtering and prompt-driven LLM reasoning over behavioural, temporal and geographic context.