Developing a Shopify web application that provides customized administrative functionalities (e.g., complex queries, advanced scheduling features, custom data fields) for a startup flower delivery company, with a focus on supply chain optimization and an aesthetically accessible and multilingual UX/UI design.

Tech specs: Shopify API, GraphQL, JavaScript, Liquid, Prisma, SQLite

Completed under the guidance of Dr. Richard Zemel.

Implemented several recommender system (RS) models via different recommendation algorithms/strategies (e.g., myopic, exploration-promoting) to simulate long-term user behavior and RS ecosystem dynamics.

Conducted comparative analyses to investigate the interplay between RS metrics/dynamics, including accuracy, recommendation quality, user behavior homogeneity, and item fairness.

Developed a website using Jekyll.

Final research report: Bubble Bursting Implementations and Dynamics in Recommender Systems