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I think the knowledge graph in this case is mostly derived from first principles, e.g. understand roasting, searing, broiling etc and you can apply that to any
by blindseer 4y ago
I think the knowledge graph in this case is mostly derived from first principles, e.g. understand roasting, searing, broiling etc and you can apply that to any vegetable or meat.
Ideally one would be able to learn language with the same kind of etymological study, however I put it to you that is FAR more complex and boring and doesn't have more fact / science based rules than cooking does.
Also, cooking is a very personal / familial / cultural experience. Recipes can be passed down a single family, whereas language is much more broad.
I guess what I'm trying to say is that the knowledge graph for cooking is smaller and more personal, and is better served as a personalized note taking system as opposed to a gamified interface to a public database.
For example, if I would prefer recipes with eggs and potatoes as opposed to recipes with spinach and mushrooms, I should be able to cater my knowledge graph to learning more about recipes that use those ingredients (ideally with some balance in nutrients).
- mizzao 4y agoI think you're predicting some interesting future technical problems with Parsnip, which is to build a personalized user-specific knowledge graph that is simultaneously overlaid across generalized common knowledge elements. One thing at a time, though! This is just an MVP.