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Filippos, Irene, Mariam, and Anchit started FIMA (Food Ingredients Made Appetizing) because they wanted to help college students, or others who are interested in home cooking , explore a culinary world in the comfort of their own home. That’s why they created this website to recommend recipes to you based on your dietary preferences, ingredient preferences, and flavor profile. Along the way, you will also be able to explore recipes outside of your flavor profile, and try out new cuisines. FIMA wants you to be able to conserve time, money, and energy, while eliminating food waste by providing you with the exact ingredients and cooking time required at the click of a button, personalized to just for you.
The FIMA Recommender Engine combines Collaborative Filtering and Feature-based Filtering techniques to create individual taste profiles which allow for finer-grain personalization. The goal of the Recommender Engine is to provide users with recommendations that are relevant to them but also to allow users to explore new foods.
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This dataset consists of 180K+ recipes and 700K+ recipe reviews covering 18 years of user interactions and uploads on Food.com.
- Food.com Recipes
- Food.com Recipe-User Interactions
- Recipe Ingredients
Create your own profile with recipes tailored to your dietary and flavor preferences
Option to swipe through recipes with like and dislike buttons
Algorithm that allows you to explore the world of cuisines while providing relevant recommendations
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