Bereket Yilma

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Designing and developing modern-day Recommender Systems (RecSys) is a multi-disciplinary effort that benefits from advancements obtained in different computer science fields, particularly Machine learning, Information retrieval and human-computer interaction (HCI)[2]. To harness the full potential of RecSys engines, professionals and researchers must equip themselves with a holistic understanding of not only the computational methods enabling the design and development of these systems but also the know-how to ensure human aspects are the centre of the design. Hence, this course approaches Recsys from a human-centred perspective, looking at the interface and algorithm studies that advance understanding of how system designs can be tailored to users objectives and needs while taking into account external factors such as commercialization. By participating in this course, attendees will acquire a comprehensive understanding of the computational methods to design human-centric RecSys, encompassing fundamental concepts, advanced algorithms, and practical implementation with a more emphasis on putting humans at the heart of the design process. This course takes a case study approach to RecSys from an HCI perspective intersecting visual arts with a healthcare application.