Natalija Glisovic

I am an industrial PhD student at the Division of Robotics, Perception and Learning (KTH) and IKEA (Ingka Digital Group), supervised by Professor Danica Kragic and Martin Tegner. I am funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP).

My research focuses on context- and content-aware recommender systems. In particular, I explore how additional signals such as community knowledge, product text, and images can be leveraged to improve recommendations. My work spans methods for cold start, data sparsity, and multimodal integration.