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.

By the end of the project, students should demonstrate:

• Understanding of our existing dataset of users, products, and reviews
• Understanding of variables that affect the quality of product recommendations
• Identification of areas for future improvement of the software]
• design process and outcomes.

Students will connect directly with the employer for mentorship and supervision throughout the project.

Available by email

Zoom weekly and will review all students work