Francesco Barile (F.)

Waterschoot, C., Tintarev, N., & Barile, F. (2025). Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations. In Proceedings of the Nineteenth ACM Conference on Recommender Systems (pp. 539–544). Association for Computing Machinery. https://doi.org/10.1145/3705328.3748015

Dabrowski, J., Janicka, M., Sienkiewicz, L., Stomfai, G., Jannach, D., Barile, F., Polignano, M., Pomo, C., & Srivastava, A. (2025). RecSys Challenge 2025: Universal Behavioral Profiles for Recommender Systems. In Proceedings of the Nineteenth ACM Conference on Recommender Systems (pp. 1389–1393). Association for Computing Machinery. https://doi.org/10.1145/3705328.3748172

Dabrowski, J., Janicka, M., Sienkiewicz, Ł., Stomfai, G., Dietmar, J., Barile, F., Polignano, M., Pomo, C., & Srivastava, A. (2025). The SYNERISE dataset: An E-Commerce Dataset for Sequential Recommendation, Universal Behavior Modeling and Deep Relational Learning. In Proceedings of the Recommender Systems Challenge 2025 (pp. 1–6). Association for Computing Machinery. https://doi.org/10.1145/3758126.3758188

Waterschoot, C., Yera Toledo, R., Tintarev, N., & Barile, F. (2025). With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations. In Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (pp. 253–262). Association for Computing Machinery. https://doi.org/10.1145/3699682.3728345

Schellingerhout, R., Barile, F., & Tintarev, N. (2024). Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations. In Recommender Systems for Human Resources 2024: Proceedings of the 4th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2024) (Vol. 3788). CEUR-WS.org. https://arxiv.org/abs/2409.15971

Barile, F., Cau, F. M., & Tintarev, N. (2024). A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems. In UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (pp. 70-74). Association for Computing Machinery (ACM). https://doi.org/10.1145/3631700.3664864

Barile, F., Cau, F. M., & Tintarev, N. (2024). A Preliminary Study of the Impact of Personality on Satisfaction in Group Contexts. In UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (pp. 319-328). Association for Computing Machinery (ACM). https://doi.org/10.1145/3631700.3664893

Barile, F., Delic, A., Peska, L., Saccardi, I., & Vinella, F. (2024). GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization. In UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (pp. 316-318). Association for Computing Machinery (ACM). https://doi.org/10.1145/3631700.3658535