LLMs For Warm and Cold Next-Item Recommendation: A Comparative Study across Zero-Shot Prompting, In-Context Learning and Fine-Tuning
H. Halimeh, F. Freese, O. Müller, in: International Conference on Information Systems Development, University of Gdansk, Department of Business Informatics &; University of Belgrade, Faculty of Organizational Sciences, 2025.

Preserving Sovereignty and Privacy for Personalization: Designing a Federated Recommendation System for Data Spaces
H. Halimeh, P. zur Heiden, in: 2025 27th International Conference on Business Informatics (CBI), IEEE, 2025.

Towards Greener Choices: Decision Information Nudging for Sustainability-Aware Recommender Explanations
H. Halimeh, O. Müller, in: 2025.

Positionspapier Use Case 1: Vernetzte Kulturplattformen
M. Althaus, D. Beverungen, B. Flath, H. Halimeh, P. Hansmeier, P. zur Heiden, D. Kundisch, M. Müller, O. Müller, S. Oberthür, C. Vorbohle, M. Momen Pour Tafreshi, S. Mauß, A. Mücke, J. Müller, M. Peter, A. Schmitt-Chandon, K. Sellerberg, M. Steinhäuser, Positionspapier Use Case 1: Vernetzte Kulturplattformen, Universität Paderborn, SICP, 2025.

Event Recommendations through the Lens of Vision and Language Foundation Models
H. Halimeh, F. Freese, O. Müller, in: Workshop on Recommenders in Tourism, Co-Located with the 17th ACM Conference on Recommender Systems, 2023.

Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features
H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on System Sciences, 2023.