Research output per year
Research output per year
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Dive into the research topics where Francesco Barile is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations
Waterschoot, C., Tintarev, N. & Barile, F., 7 Aug 2025, Proceedings of the Nineteenth ACM Conference on Recommender Systems. New York, NY, USA: Association for Computing Machinery, p. 539–544 6 p. (RecSys : Proceedings of the ACM Conference on Recommender Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open Access -
RecSys Challenge 2025: Universal Behavioral Profiles for Recommender Systems
Dabrowski, J., Janicka, M., Sienkiewicz, L., Stomfai, G., Jannach, D., Barile, F., Polignano, M., Pomo, C. & Srivastava, A., 2025, Proceedings of the Nineteenth ACM Conference on Recommender Systems. New York, NY, USA: Association for Computing Machinery, p. 1389–1393 5 p. (RecSys : Proceedings of the ACM Conference on Recommender Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
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The SYNERISE dataset: An E-Commerce Dataset for Sequential Recommendation, Universal Behavior Modeling and Deep Relational Learning
Dabrowski, J., Janicka, M., Sienkiewicz, Ł., Stomfai, G., Dietmar, J., Barile, F., Polignano, M., Pomo, C. & Srivastava, A., 2025, Proceedings of the Recommender Systems Challenge 2025. New York, NY, USA: Association for Computing Machinery, p. 1–6 6 p. (RecSysChallenge: Proceedings of the Recommender Systems Challenge).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open Access -
With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations
Waterschoot, C., Yera Toledo, R., Tintarev, N. & Barile, F., 2025, Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: Association for Computing Machinery, p. 253–262 (UMAP '25: Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
1 Downloads (Pure) -
A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems
Barile, F., Cau, F. M. & Tintarev, N., 28 Jun 2024, UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), p. 70-74 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open AccessFile39 Downloads (Pure)
Prizes
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LBR Best Paper award
Barile, F. (Recipient), Cau, F. (Recipient) & Tintarev, N. (Recipient), 2024
Prize: Prize (including medals and awards) › Academic