Congratulations to CS Major Luke Kurlandski (Class of 2022) on his poster’s acceptance to the 2021 SIGCSE ACM Student Research Conference!
Luke’s poster on CABPortal, entitled “Evaluating ML Recommender Systems Without Interactions Data”, will be presented at the March 2021 virtual conference. CABPortal (Collaborating Across Boundaries Portal) is a web application that promotes collaboration between researchers in different academic disciplines. An effective recommendation system would be beneficial for the site, but CABPortal does not have a history of user behavior to train a recommender engine on. This semester, Luke researched a strategy to develop, test, and evaluate an ML-based (machine learning-based) recommendation system for CABPortal by using synthetically-generated artificial training data.
For more information on the SIGCSE conference, see: https://sigcse2021.sigcse.org/