5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.IR2022★ 5 cited
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer
Mogan Gim, Donghee Choi, Kana Maruyama +4
We propose a computational approach for recipe ideation, a downstream task that helps users select and gather ingredients for creating dishes. To perform this task, we developed Re…
cs.LG2019
KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks
Donghyeon Park, Keonwoo Kim, Yonggyu Park +2
As a vast number of ingredients exist in the culinary world, there are countless food ingredient pairings, but only a small number of pairings have been adopted by chefs and studie…