Restaurant Ratings Experiment
Building restaurant ratings recommender
Three separate datasets used as input to train the Azure Machine Learning Matchbox
recommender consisting of the following files:
• Restaurant features: This includes information about each restaurant, such as placeID, location, name,
address, state, whether alcohol is served, smoking policy, dress code, accessibility, and price.
• Restaurant customers: This includes a wide variety of personal attributes including the following: userID,
smoker, drink level, dress preference, marital status, birth year, interests, personality traits, religion, favorite
color, weight, height, and budget.
• Restaurant ratings