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Hanjalic is a professor with expertise in areas such as user information, datasets, recommendations, levels, and metrics, emphasizing recommender systems and multimedia search. He contributes to advances in education through innovative approaches in size and complexity in educational frameworks and systems. He aims to enhance the analytical capabilities of recommendation technologies, thereby addressing various user needs and preferences. His research integrates developments within recommender systems to improve multimedia resources access and user interaction with educational content. Hanjalic is actively involved in academic initiatives that focus on the intersection of advanced search methods and personalized user experiences. He has published numerous works in prominent journals, demonstrating a commitment to the evolution of these fields. His influence extends into interdisciplinary applications that leverage recommendations systems across different domains, including education.
Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.