Name
Abstract | ||
|---|---|---|
It is difficult to find a recipe that uses the ingredients in a person’s refrigerator within a short time. To solve this problem, we propose a recipe–generation model in the encoder– decoder framework. Models developed in the traditional encoder– decoder framework do not adequately reflect the ingredients in cooking recipes, but the proposed method introduces reinforcement learning and coverage lo... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICDEW53142.2021.00007 | 2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW) |
Keywords | DocType | ISSN |
reinforcement learning,encoder–decoder framework,coverage loss,attention mechanism,cooking recipe,loss function,evaluation metric,embedding layer,recipe generation,computational linguistic | Conference | 1943-2895 |
ISBN | Citations | PageRank |
978-1-6654-4890-1 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jumpei Fujita | 1 | 0 | 0.34 |
| Masahiro Sato | 2 | 0 | 0.34 |
| Hajime Nobuhara | 3 | 192 | 34.02 |