1. F o o d i eF o o d i e Marc Greenberg – mgreenberg@cs.usfca.edu A study in collecting and parsing recipes…

2. Im Hungry!... Enter ingredients at your disposal Foodie lists recipe options Rate recipes It learns what you like, and your eating habits… (thats another presentation)

3. But We Need To Populate The Device Food and recipe database needed Collect and parse recipes instead of manual entry Recipe collection from different sources –Predictable vs. non-predictable URLs –Regular vs. irregular recipe format

4. Collecting Recipes Two types of crawlers (written in python) –URL Substitution: Epicurious.com, http://www.epicurious.com/recipes/recipe_views/printer_friendly/11311 http://www.epicurious.com/recipes/recipe_views/printer_friendly/11311

5. Collecting Recipes Two types of crawlers (written in python) –URL Substitution: Epicurious.com, http://www.epicurious.com/recipes/recipe_views/printer_friendly/11311 http://www.epicurious.com/recipes/recipe_views/printer_friendly/11311 –Link Crawler: RecipeSource.com (serving, title, minute, hour,.6) http://www.recipesource.com/fgv/rice/03/rec0362.html http://www.recipesource.com/fgv/rice/03/rec0362.html FoodNetwork.com, (recipe, serving, yield, time, print, minute,.8) http://www.foodnetwork.com/food/recipes/recipe/0,,FOOD_9936_17273,00.html Need to identify good and bad pages

6. Finding the Ingredients Induction wrappers Layout Character and grammar structure

7. Parsing Recipe metadata –Title, summary, serving size, prep time, etc. Ingredient list –Amount, unit, food item Directions

8. Existing Software MasterCook TM, leading software product Manual import features Slow full text search Starting database has just over 8000 recipes

9. ? Questions