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Results: 36
Number of items: 36
  • 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
    Wessel, T. J., Trattner, C., & Starke, A. (2025). Using large language models to ‘lighten the mood’: Satirically reframing news recommendations to reduce news avoidance. In A. Iana, C. Treuillier, V. Yadav, B. Kille, A. Lommatzsch, & Ö. Özgöbek (Eds.), Proceedings of the 13th International Workshop on News Recommendation and Analytics: co-located with the 2025 ACM Conference on Recommender Systems (RecSys 2025) : Prague, Czech Republic, September 26, 2025 (CEUR Workshop Proceedings; Vol. 4056). CEUR-WS. https://ceur-ws.org/Vol-4056/full4.pdf
  • Open Access
    Starke, A. D., Solberg, V. R., Øverhaug, S., & Trattner, C. (2024). Examining the merits of feature-specific similarity functions in the news domain using human judgments. User Modeling and user-adapted Interaction, 34(4), 995-1042. https://doi.org/10.1007/s11257-024-09412-2
  • 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
    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
    Comba, F., & Starke, A. (2024). Climate change or catastrophe? Examining the use of fear appeals by climate scientists. Tijdschrift voor Communicatiewetenschap, 52(4), 408-433. https://doi.org/10.5117/tCW2024.4.003.CoMB
  • 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
    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
    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
  • Open Access
    Starke, A. D., Bremnes, A. S., Knudsen, E., Trilling, D., & Trattner, C. (2024). Perception versus Reality: Evaluating User Awareness of Political Selective Exposure in News Recommender Systems. In UMAP 2024: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization : 1-4 July, 2024, Cagliari, Italy (pp. 286-291). Association for Computing Machinery. https://doi.org/10.1145/3631700.3665189
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