Recommendation Engine Prototype

Our company has a website for our customers to interact with products. The website welcomes thousands of users every day, each with different experiences and preferences. We would like a group of students to design and build a prototype recommendation engine that matches users to products. These recommendations could be based on what other users with similar viewing/liking patterns have viewed/liked. This will involve several different steps for the students, including: Familiarizing yourself with our website and products to understand how they work. Researching state-of-the-art machine learning and recommendation engine technologies. Developing recommendation engine prototype models based on an existing dataset. Producing recommendations from the prototype models. Testing recommendation engine prototype models with users. Iterating and improving tested prototype models.