Anja SteinPhD student
I graduated from Edinburgh University in 2017 with a BSc in Mathematics. Through the introductory courses to Operational Research at my University, I was intrigued by the STOR-i internship programme and took part during summer 2016. I enjoyed my experience so much that I decided to return full time. Just before returning, I completed my summer placement with the civil service, where I worked as a statistical analyst under GORS at the Department for Education.
My PhD project considers incorporating the Mallows Model into a Recommender System. Recommender systems have become prevalent in present-day technological developments. They are machine learning algorithms which make recommendations, by selecting a specific range of items for each individual, which they are most likely to be in interested in. Users want to receive recommendations for things, which they may not have considered or knew existed. The challenge recommender systems face is to sort through a large database and select a small subset of items, which are considered to be the most attractive to each user depending on the context. The open problem we are most concerned about is how to use the Mallows model in a sequential decision-making problem.
This project is in collaboration with one of STOR-i’s academic partners, Oslo University. My supervisors are David Leslie (Lancaster) and Arnoldo Frigessi (Oslo).
- Statistical Learning
- STOR-i Centre for Doctoral Training