This paper proposes a method for generating expressive and distinctive recipe names by identifying each recipe’s unique features relative to others in the same collection. For example, when most recipes boil pasta in a pot, our method may generate a descriptive recipe name like “One-Pan Carbonara” for a recipe that completes the dish using a single frying pan only. The method detects ingredients, cooking procedures, and utensils that are statistical outliers, either significantly more or less frequent compared to the rest of the recipe set. These distinguishing features are then passed to a fine-tuned large language model, which generates the final recipe name. A user study showed that the proposed method produces accurate and appealing names that effectively highlight the distinctiveness of each recipe.