Congratulations to CS Major Luke Kurlandski (Class of 2022) on his poster’s acceptance to the ACM Student Research Competition at the 2021 ACM SIGCSE Technical Symposium!
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. This poster is based on work done with Dr. Pulimood, through mentored research and partially funded through Dr. Pulimood’s Barbara Meyers Pelson grant and NSF Award #191486.
For more information on the SIGCSE Technical Symposium, see: https://sigcse2021.sigcse.org/