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Results: 36
Number of items: 36
  • Open Access
    El Majjodi, A., Starke, A., Trattner, C., Petruzzelli, A., & Musto, C. (2025). Nudging Healthy Choices: Leveraging LLM-Generated Hashtags and Explanations in Personalized Food Recommendations. In P. Brusilovsky, A. Felfernig, P. Lops, M. Polignano, G. Semeraro, & M. C. Willemsen (Eds.), Proceedings of the 12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2025) : co-located with 19th ACM Conference on Recommender Systems (RecSys 2025) (Vol. 4027). Article 4 (CEUR Workshop Proceedings; Vol. 4027). CEUR-WS. https://ceur-ws.org/Vol-4027/paper3.pdf
  • Open Access
    Jeng, J. H., Kasangu, G., Starke, A., Seddik, K. M. A., & Trattner, C. (2025). The role of GPT as an adaptive technology in climate change journalism. In UMAP 2025: Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization : June 16-19, 2025 New York, USA (pp. 214-223). Association for Computing Machinery. https://doi.org/10.1145/3699682.3728332
  • Open Access
    El Majjodi, A., Khan, S. A., Starke, A. D., Elahi, M., & Trattner, C. (2024). Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender System. In H. Hauptman, C. Trattner, & H. Torkamaan (Eds.), Proceedings of the 6th International Workshop on Health Recommender Systems (HealthRecSys 2024): co-located with 18th ACM Conference on Recommender Systems (RecSys 2024) : Bari, Italy, October 18, 2024 (pp. 55-62). (CEUR Workshop Proceedings; Vol. 3823). CEUR-WS. https://ceur-ws.org/Vol-3823/6_majjodi_advancing_163.pdf
  • Open Access
    Jeng, J. H., Kasangu, G., Starke, A. D., & Trattner, C. (2024). Emotional Reframing of Economic News using a Large Language Model. In L. Boratto, C. Gena, & M. Marras (Eds.), UMAP 2024: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization : 1-4 July, 2024, Cagliari, Italy (pp. 231-235). Association for Computing Machinery. https://doi.org/10.1145/3631700.3665191
  • Open Access
    Rosnes, D., Starke, A. D., & Trattner, C. (2024). Shaping the Future of Content-based News Recommenders: Insights from Evaluating Feature-specific Similarity Metrics. In UMAP 2024: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization : 1-4 July, 2024, Cagliari, Italy (pp. 201-211). Association for Computing Machinery. https://doi.org/10.1145/3627043.3659560
  • Open Access
    Starke, A. D., Vrijenhoek, S., Michiels, L., Kruse, J., & Tintarev, N. (2024). NORMalize 2024: The Second workshop on normative design and evaluation of recommender systems. In RecSys '24: Proceedings of the Eighteenth ACM Conference on Recommender Systems : Bari, Italy, 14-18 October 2024 (pp. 1242-1244). Association for Computing Machinery. https://doi.org/10.1145/3640457.3687103
  • Open Access
    Jeng, J. H., Kasangu, G., Starke, A., Knudsen, E., & Trattner, C. (2024). Negativity sells? Using an LLM to affectively reframe news articles in a recommender system. In V. Yadav (Ed.), Proceedings of the International Workshop on News Recommendation and Analytics: co-located with the 2024 ACM Conference on Recommender Systems (RecSys 2024) : Bari, Italy, 18 October 2024 Article 4 (CEUR Workshop Proceedings; Vol. 3929). CEUR-WS. https://ceur-ws.org/Vol-3929/paper4.pdf
  • Open Access
    Kruse, J., Michiels, L., Starke, A., Tintarev, N., & Vrijenhoek, S. (2024). NORMalize: A tutorial on the normative design and evaluation of information access systems. In P. Clough, M. Harvey, & F. Hopfgartner (Eds.), CHIIR'24: Proceedings of the 2024 Conference on Human Information Interaction and Retrieval : March 10-14, 2024, Sheffield, United Kingdom (pp. 422-424). Association for Computing Machinery. https://doi.org/10.1145/3627508.3638319
  • Open Access
    Pera, M. S., Cena, F., Landoni, M., Musto, C., & Starke, A. D. (2024). Human Factors in User Modeling for Intelligent Systems. In B. Ferwerda, M. Graus, P. Panagiotis, & M. Tkalčič (Eds.), A Human-Centered Perspective of Intelligent Personalized Environments and Systems (pp. 3-42). (Human-Computer Interaction Series). Springer. https://doi.org/10.1007/978-3-031-55109-3_1
  • Open Access
    Starke, A. D., & Willemsen, M. C. (2024). Psychologically Informed Design of Energy Recommender Systems: Are Nudges Still Effective in Tailored Choice Environments? In B. Ferwerda, M. Graus, P. Germanakos, & M. Tkalčič (Eds.), A Human-Centered Perspective of Intelligent Personalized Environments and Systems (pp. 221-259). (Human–Computer Interaction Series). Springer. https://doi.org/10.1007/978-3-031-55109-3_9
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