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Results: 36
Number of items: 36
  • Open Access
    Starke, A. D., Dierkes, J., Lied, G. A., Kasangu, G. A. B., & Trattner, C. (2025). Supporting healthier food choices through AI-tailored advice: A research agenda. PEC Innovation, 6, Article 100372. https://doi.org/10.1016/j.pecinn.2025.100372
  • Open Access
    El Majjodi, A., Starke, A. D., & Trattner, C. (2025). Integrating Digital Food Nudges and Recommender Systems: Current Status and Future Directions. IEEE Access, 13, 123002-123017. https://doi.org/10.1109/ACCESS.2025.3588663
  • 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
    Starke, A. D., Musto, C., Rapp, A., Semeraro, G., & Trattner, C. (2024). “Tell me why”: Using natural language justifications in a recipe recommender system to support healthier food choices. User Modeling and user-adapted Interaction, 34(2), 407–440. https://doi.org/10.1007/s11257-023-09377-8
  • 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
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