Date
Tuesday April 23, 2024 from 3:30 PM to 4:30 PMLocation
Neuron 0.262Co-organizer
Industrial Engineering and Innovation SciencesPrice
freePersonalization through the Evolution of Tastes
Professor Alan Said, Professor at the University of Gothenburg, Sweden, is a guest of Martijn Willemsen, Associate Professor of Human Technology Interaction at the department Industrial Engineering and Innovation Sciences and JADS, Den Bosch.
Title | Personalization through the Evolution of Tastes
In a rapidly advancing digital age, understanding the intricacies of personal preferences has become important for the development of personalization and recommendation systems. This talk examines the dynamic nature of human preferences, exploring how they evolve over time and their implications on personalization strategies within recommendation systems. By examining music listening behaviors as a tangible, empirical example, the discussion highlights patterns in how preferences shift across different stages of life. The journey of musical tastes, from the broad exploration of youth to the refined selections of older age, serves as a compelling narrative for the broader phenomena of evolving preferences. It uncovers the challenges and opportunities in creating recommendation systems that adapt to the nuanced changes in individual tastes over time. The talk will discuss how evolving preferences can guide the development of more personalized, responsive, and ultimately, human-centric recommendation systems. Recommender systems rely on machine learning and data science when generating recommendations. This talk will explore the complex interplay between age, experience, and preference, and how this knowledge can be leveraged to design AI systems that better cater to the shifting landscape of human preferences and interests.
Alan Said
Alan Said, Associate Professor at the University of Gothenburg, is Assistant Head of the department of Applied Information Technology. His research is centered on recommender systems. This area combines elements from various disciplines including data science, psychology, human-computer interaction, information science, and cognitive science. Alan’s work aims to understand and utilize the relationships between different stakeholder perspectives in recommender systems to improve recommendation and personalization systems. His research contributions have been recognized through publications in journals and conferences such as RecSys, UMUAI, CSCW, TORS, IUI, SIGIR, and TIST.
Alan earned his PhD from Technische Universität Berlin and has since held a variety of positions in both academic and industry settings. He served as a lecturer at the University of Skövde from 2016 to 2019. In the industry, he worked as a machine learning engineer at Recorded Future from 2014 to 2016. At Delft University of Technology, he was a Senior Researcher in the Multimedia Computing research group in 2014, focusing on recommender systems and their evaluation. He also received the prestigious Marie Curie Actions Alain Bensoussan ERCIM Fellowship at Centrum Wiskunde & Informatica from 2013 to 2014 for his work on evaluating recommender and personalization systems.
Alan Said’s work has explored areas such as user modeling, personalization, recommender systems, evaluation, and reproducibility. His research has received multiple awards at scientific conferences and workshop. Alan regularly serves on program and organization committees for conferences and journals, including ACM RecSys, WWW, ACM CIKM, ACM UMAP, ACM IUI, UMUAI, TWeb, and TKDD. Presently, he holds the position of Chair for the ACM RecSys Steering Committee (2023-2026).
Eindhoven Artificial Intelligence Systems Institute
EAISI brings together all AI activities of the TU/e. Top researchers from various departments and research groups work together to create new and exciting AI applications with a direct impact on the real world. All this in close collaboration with our students and representatives from industry.