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Welcome to the tossr wiki!

THE SALAD PROFESSIONALS.

Our goal:

• Provide users with automated yet personalized salads.
• Customer satisfaction guaranteed by optimal price solutions.
• Easy user input is important to us! The system should learn from the user's tastes.

How are we going to achieve that:

• Input format:

  • Allergies (hard restriction)
  • Desired price range
  • Chopped (optional)
  • Size

• Learning from the user's preferences:

  • Preferred ingredients
  • Preferred combinations
  • Will perturb salad with ingredients not used for a long time
  • Will provide user with a training set to test both full salads and simple ingredient combinations

• Training sets will be used to learn generally good combinations:

  • Gathered from the internet recipes
  • Gathered from store menus
  • From insider knowledge of REAL PEOPLE!

• The structure of the salad has three parts, which are then optimized according to taste, price and the individual:

• Leaf (1)

• Toppings (n)

• Dressing (1)

Possible algorithms to implement:

• Genetic algorithm
• Ant colony optimization algorithm (swarming algorithms in general)
• Simulated annealing
• Recommendation algorithm (alternating least squares, collaborative filtering) (http://www.slideshare.net/srowen/big-practical-recommendations-with-alternating-least-squares)
• Bayesian network