Customer Recommendation Engine

Researched, designed, and developed an algorithm for recommending dishes to customers (Customer Recommendation Engine aka CRE) to help them choose food faster and simplify ordering. Algorithm profiles a customer (personal tastes and pricing preferences based on purchase history) as well as market preferences (dishes order volumes and reviews) and compiles 3 lists - each representing a different view of restaurant's menu: one personalized (personal tastes and preferences), second (aka the test of time list) to present what market likes and has been ordered a lot, and a third (aka rising stars) to present recent items with lower volumes but very well received. In data science, these systems are also called Recommender Systems (RS).