Recommender systems form an integral component of modern digital platforms, providing personalised suggestions by filtering through vast amounts of data. These systems largely rely on collaborative ...
Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items to be a barrier to using the ...
ABSTRACT One of the anticipated challenges of today's e-learning is to solve the problem of recommending from a large number of learning materials. In this study, we introduce a novel architecture for ...
ARGUS (AutoRegressive Generative User Sequential modeling) is a novel, AI-powered architecture that enhances recommender ...
On the 11th of August 2025, M.Sc. Yang Liu defends her PhD thesis on Methodological and Extrinsic Challenges in Offline Evaluation of Recommender Systems. The thesis is related to research done in the ...
Recursive digital selves underpin targeted advertising, predictive policing, and workplace monitoring. In each case, the ...
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