Workshop on Urban Recommender System (UrbanRec)

As we witness an ongoing centralization of the population towards urban landscapes, recommendation technology has an increasing role in people’s perception and decision-making in cities. People use recommender systems for choosing places to stay, which attractions and restaurants to visit, and route recommender systems for navigation. This workshop aims to bring together practitioners and academics working on improving recommendations in the urban space with an emphasis on both individual needs and urban health and well-being.

Workshop History

• First Workshop on Urban Recommender Systems held in conjunction with the 2024 ACM Conference on Recommender Systems

Organizers

• Linus W. Dietz, King’s College London UK is a Post-doctoral Researcher at the Centre for Urban Science and Progress at the Department for Informatics at King’s College London, UK. His current research is concerned with urban informatics, recommender systems, and computational social science. Previously, he worked on data-driven destination recommender systems, where he focused on the intersection of data analytics and recommender systems. He published 25 refereed papers and was a member of the RecSys Organization Committee for the previous four years.
• Sanja Šćepanović, Nokia Bell Labs, Cambridge, is a Senior Research Scientist at Nokia Bell Labs AI Research Lab. She researches Responsible AI in the context of Earth Observation, public health, and Computational Social Science. She is the Nokia Ada Lovelace 2023 honoree and an alumna of International Space University. Her industry experiences include a startup in Silicon Valley and ICEYE – a satellite startup in Finland.
• Rossano Schifanella, University of Turin, Italy is an Associate Professor in Computer Science and a Researcher at ISI Foundation, where he is a member of the Data Science for Social Impact and Sustainability group. His research embraces the creative energy of various disciplines across machine learning, urban science, computational social science, complex systems, and data visualization. He is passionate about building interactive web interfaces to explore urban spaces and access human knowledge through geography.
• Wolfgang Wörndl, Technical University of Munich, Germany is a senior researcher and lecturer at the Department of Informatics at Technische Universität München (TUM). His current research focuses on interactive recommender systems in mobile scenarios and he has published over 100 refereed papers in related areas. He was co-organizing and served as program committee member for a large number of journals, conferences and workshops, including several previous RecSys workshops.