Recipe Recommendation System (RecRes) Unless otherwise specified, please download all models and place the entire folder under /saved_models
Ingredients Image Classification [Download ]
Cuisine Classification [Download ]
D2VModel [Download ]
Recipe Database for D2VModel, put it under RecRes folder [Download ]
Models & Data for Attention Encoder Decoder [Download ]
pip install -r requirements.txt Pip-installed Tensorflow might not work, instead, install it with conda.
pip uninstall tensorflow
conda install tensorflow
Dataset
Features
#Data
Remark
Used
Food Recommendation System - schemersays name, ingredients, cuisines, ratings
400
Food.com - Recipes name, preparing time, date, tags, nutrition, # cooking steps, description, ingredients, #ingredients
180K
Provides raw and tokenize data. Paper .
Food.com - Review of Recipes date, rating
700K
Provides raw and tokenize data. Paper .
Indian Food and Its Recipes Dataset (With Images) name, image_url, description, cuisine, course, diet, prep_time, ingredients, instructions
4226
Scraped from Archana's Kitchen
MealRec name, #reviews, category, aver_rate, image_url, ingredients, cooking_directions, nutritions, reviews, tags
7280
There are multiple reviews for one recipe
Indian Food 101 name, ingredients, diet, prep_time, cook_time, flavor_profile, course, state, region
255
foodRecSys-V1 recipe_name, image_url, ingredients, cooking_directions, nutritions, rating
45568
Dataset
Features
#Data
Remark
Used
Restaurant Data with Consumer Ratings payment type, operating hours, operating days, parking_lot, latitude, longitude, the_geom_meter, name, address, city, state, country, fax, zip, alchohol, smoking_area, dress_code, accessibility, price, url, Rambience, franchise, area, other_services, rating, food_rating, service_rating
-
Consist of multiple csv of users and restaurants with different length
Micheline Guide Restaurants name, address, location, price, cuisine, longitude, latitude, phoneNumber, Url, WebsiteUrl
6653
Related Tutorials and Repositories