Here is how you start, let's see what we can do with broccoli.
What happens I think is that it works on frequency counts of ingredient pairs. Whatever you do with your broccoli it will involve butter at some point making it the most associated ingredient and therefore the most classic. It begs the question if butter really is an ingredient you would use as a key component of a dish. Further proof of Watson selecting ingredients on frequency comes when we are selecting for 'surprise' as much as possible:
Now there is some weird vinegar at top but look at the second one: first it was black pepper and now it is black peppercorns. This is the same ingredient but named slightly different which eludes the program. Mustard will be used in conjunction with broccoli often but rare are the recipes suggesting Dijon mustard and consequently it becomes a novelty ingredient for experimental chefs. If you would force all these variations into one the number of possible recipes would shrink enormously. I have checked if these suggestions are explainable by foodpairing based on aroma compounds and the answer is: no. So this based on recipe predominantly.
While you are selecting the ingredients, styles and dishes Watson gives you plenty of info, as you can see.
Add a few more ingredients and generate the recipe:
This is not all, the steps go on after the screenshot. It is a lot of text and by changing the slide at the top there are a number of variations of this recipes (50? 100?) to be explored. I think you will need the patience and the free time of a monk to evaluate them all and that is just for one set of ingredients. Wisely IBM has added the following disclaimer:
"Remember that Chef Watson eats data, not real food. The ingredients and steps are suggestions, so be sure to use your own judgement when preparing these dishes. And, give us feedback to make the Chef smarter."
If you want a bit of fun it can create recipes for things like: Indian lemongrass bouillabaisse, Korean turnip stroganoff cheesecake and French almond milk tiramisu pancake. The biggest problem with Chef Watson is that food is not about data but about memory and place, company and good times. It generates data but it fails to translate into an experience. It only goes to show that every Watson needs a Livingstone.
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