Recommendation Engine Development

Our company advertises thousands of products through a user interface. We would like to work with students to create a new recommendation system that returns products based on what a user has previously viewed or rated. The recommendations should also consider products viewed by other users who are like the given user. This will involve several different steps for the students, including: Analyzing our existing dataset of users, products, and reviews. Developing a recommendation engine software. Optimizing software runtime performance and assessing areas for improvement. Researching other variables that can improve the quality of product recommendations. Accounting for additional variables in the recommendation engine software. Testing the developed software and making improvements based on additional data.