Loading...
Please wait, while we are loading the content...
Similar Documents
Predicting Cuisine from Ingredients
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ghewari, Rishikesh Sanjay Raiyani, Sunil D. |
| Copyright Year | 2015 |
| Abstract | Over the years, people have tried to explore new ingredients and incorporate them into recipes or produce new recipes all together. One of the obvious relations that we would like to explore is the relation between ingredients and cuisines. We use the yummly data-set to study the problem of predicting cuisine of a recipe based on it’s ingredients. On testing several classifiers we observed that SVM works best for this prediction task. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://cseweb.ucsd.edu/~jmcauley/cse255/reports/fa15/029.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |