Francesco Barile

64 papers A 5B 1C 1Misc 1Journal 17Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Critical reflections on user studies' evaluation methods for group recommender systems. Int. J. Hum. Comput. Stud. Francesco Barile, Pierre Hurlin, Cedric Waterschoot, Nava Tintarev
2025	—	`—`	Advances in Bayesian Methods: Nonparametric Network Modeling and Scalable Computations. Francesco Barile
2025	—	`conf`	Bridging the Rift: A Critical Perspective on the Divergence in Group Recommender Systems Research. UMAP (Adjunct Publication) Ladislav Peska, Amra Delic, Francesco Barile, Patrik Dokoupil
2025	A	`conf`	Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations. RecSys Cedric Waterschoot, Nava Tintarev, Francesco Barile
2025	J	`jnl`	Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations. CoRR Cedric Waterschoot, Nava Tintarev, Francesco Barile
2025	—	`conf`	GMAP 2025: 4th Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Cedric Waterschoot
2025	—	`conf`	OKRA: An Explainable, Heterogeneous, Multi-stakeholder Job Recommender System. ECIR (2) Roan Schellingerhout, Francesco Barile, Nava Tintarev
2025	J	`jnl`	OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System. CoRR Roan Schellingerhout, Francesco Barile, Nava Tintarev
2025	A	`conf`	RecSys Challenge 2025: Universal Behavioral Profiles for Recommender Systems. RecSys Jacek Dabrowski, Maria Janicka, Lukasz Sienkiewicz, Gergely Stomfai, Dietmar Jannach, Francesco Barile, Marco Polignano, Claudio Pomo, Abhishek Srivastava
2025	—	`conf`	The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations. UMAP (Adjunct Publication) Cedric Waterschoot, Nava Tintarev, Francesco Barile
2025	J	`jnl`	The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations. CoRR Cedric Waterschoot, Nava Tintarev, Francesco Barile
2025	A	`conf`	With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations. UMAP Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev, Francesco Barile
2025	J	`jnl`	With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations. CoRR Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev, Francesco Barile
2024	—	`conf`	A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems. UMAP (Adjunct Publication) Francesco Barile, Federico Maria Cau, Nava Tintarev
2024	—	`conf`	A Preliminary Study of the Impact of Personality on Satisfaction in Group Contexts. UMAP (Adjunct Publication) Francesco Barile, Federico Maria Cau, Nava Tintarev
2024	—	`conf`	Bridging the Transparency Gap: Exploring Multi-Stakeholder Preferences for Targeted Advertisement Explanations. IntRS@RecSys Dina Zilbershtein, Francesco Barile, Daan Odijk, Nava Tintarev
2024	J	`jnl`	Bridging the Transparency Gap: Exploring Multi-Stakeholder Preferences for Targeted Advertisement Explanations. CoRR Dina Zilbershtein, Francesco Barile, Daan Odijk, Nava Tintarev
2024	—	`conf`	Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations. HR@RecSys Roan Schellingerhout, Francesco Barile, Nava Tintarev
2024	J	`jnl`	Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations. CoRR Roan Schellingerhout, Francesco Barile, Nava Tintarev
2024	J	`jnl`	Evaluating explainable social choice-based aggregation strategies for group recommendation. User Model. User Adapt. Interact. Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev
2024	—	`conf`	GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Federica Lucia Vinella
2024	J	`jnl`	Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. Inf. Process. Manag. Elham Motamedi, Danial Khosh Kholgh, Sorush Saghari, Mehdi Elahi, Francesco Barile, Marko Tkalcic
2023	J	`jnl`	A Co-design Study for Multi-Stakeholder Job Recommender System Explanations. CoRR Roan Schellingerhout, Francesco Barile, Nava Tintarev
2023	—	`conf`	A Co-design Study for Multi-stakeholder Job Recommender System Explanations. xAI (2) Roan Schellingerhout, Francesco Barile, Nava Tintarev
2023	—	`conf`	An Argumentative Framework for Generating Explainable Group Recommendations. UMAP (Adjunct Publication) Kristian van Kuijk, Seyedeh Sara Mahmoudi, Yangfan Wen, Francesco Barile, Tjitze Rienstra
2023	J	`jnl`	Estimation of Mass and Lengths of Sintered Workpieces Using Machine Learning Models. IEEE Trans. Instrum. Meas. David Massimo, Elias Ganthaler, Attaullah Buriro, Francesco Barile, Marco Moraschini, Anton Dignös, Thomas Villgrattner, Angelika Peer, Francesco Ricci
2023	—	`conf`	Explaining Search Result Stances to Opinionated People. xAI (2) Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev
2023	J	`jnl`	Explaining Search Result Stances to Opinionated People. CoRR Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev
2023	—	`conf`	GMAP 2023: 2nd Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Onuralp Ulusoy, Federica Lucia Vinella
2023	—	`conf`	VideolandGPT: A User Study on a Conversational Recommender System. KaRS@RecSys Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile
2023	J	`jnl`	VideolandGPT: A User Study on a Conversational Recommender System. CoRR Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile
2022	—	`conf`	GMAP 2022: Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) Federica Lucia Vinella, Amra Delic, Francesco Barile, Ioanna Lykourentzou, Judith Masthoff
2022	—	`conf`	Prediction of Hedonic and Eudaimonic Characteristics from User Interactions. UMAP (Adjunct Publication) Marko Tkalcic, Elham Motamedi, Francesco Barile, Eva Puc, Ursa Mars Bitenc
2022	A	`conf`	Tutorial on Offline Evaluation for Group Recommender Systems. RecSys Francesco Barile, Amra Delic, Ladislav Peska
2021	—	`conf`	Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. HT Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev
2021	—	`conf`	Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation. Perspectives@RecSys Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev
2019	B	`conf`	A News Recommender System for Media Monitoring. WI Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza
2019	—	`conf`	Gamma radiation measurements of naturally radioactive samples at INFN Bari laboratory. IWASI Francesco Barile, Luigi Schiavulli
2019	—	`conf`	Media Monitoring using News Recommenders. IIR Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza
2019	—	`conf`	Preparation of graphite targets for Accelerator Mass Spectrometry (AMS) radiocarbon measurements at INFN-Bari Laboratory. IWASI Francesco Barile, Serena Barone, Mariaelena Fedi, Lucia Liccioli, Luigi Schiavulli, Giuseppe Casamassima, Antonio Valentini, Cosimo Pastore, Vincenzo Paticchio
2018	J	`jnl`	An Altruistic-Based Utility Function for Group Recommendation. Trans. Comput. Collect. Intell. Silvia Rossi, Francesco Cervone, Francesco Barile
2018	—	`conf`	Modeling the Changing of the Individual Satisfaction in a Group Context: A Study on Two Sized Groups. AI*IA Francesco Barile, Judith Masthoff, Silvia Rossi
2017	—	`conf`	A Detailed Analysis of the Impact of Tie Strength and Conflicts on Social Influence. UMAP (Adjunct Publication) Francesco Barile, Judith Masthoff, Silvia Rossi
2017	—	`—`	A Framework for Group Context Aware Recommendation Systems. Francesco Barile
2017	J	`jnl`	A comparison of two preference elicitation approaches for museum recommendations. Concurr. Comput. Pract. Exp. Silvia Rossi, Francesco Barile, Sergio Di Martino, Davide Improta
2017	—	`conf`	An Off-line Evaluation of Usersr Ranking Metrics in Group Recommendation. ICAART (1) Silvia Rossi, Francesco Cervone, Francesco Barile
2017	—	`conf`	Characterization of the pixel module for the ALICE ITS upgrade. IWASI Francesco Barile
2017	J	`jnl`	Recommendation in museums: paths, sequences, and group satisfaction maximization. Multim. Tools Appl. Silvia Rossi, Francesco Barile, Clemente Galdi, Luca Russo
2017	A	`conf`	The Adaptation of an Individual's Satisfaction to Group Context: the Role of Ties Strength and Conflicts. UMAP Francesco Barile, Judith Masthoff, Silvia Rossi
2016	—	`conf`	A Multi-agent System for Group Decision Support Based on Conflict Resolution Styles. COREDEMA@ECAI Silvia Rossi, Claudia Di Napoli, Francesco Barile, Luca Liguori
2016	—	`conf`	Artworks Sequences Recommendations for Groups in Museums. SITIS Silvia Rossi, Francesco Barile, Clemente Galdi, Luca Russo
2016	—	`conf`	Conflict Resolution Profiles and Agent Negotiation for Group Recommendations. WOA Silvia Rossi, Claudia Di Napoli, Francesco Barile, Luca Liguori
2016	—	`conf`	Negotiating and Executing Composite Tasks for QoS-Aware Teams of Robots. PAAMS (Special Sessions) Silvia Rossi, Claudia Di Napoli, Francesco Barile, Alessandra Rossi, Mariacarla Staffa
2016	—	`conf`	Towards a Collaborative Filtering Framework for Recommendation in Museums: From Preference Elicitation to Group's Visits. EUSPN/ICTH Silvia Rossi, Francesco Barile, Davide Improta, Luca Russo
2015	—	`conf`	A Market Mechanism for QoS-aware Multi-Robot Task Allocation. WOA Francesco Barile, Alessandra Rossi, Mariacarla Staffa, Claudia Di Napoli, Silvia Rossi
2015	—	`conf`	Characterization of the prototype pixel chip for the ALICE ITS upgrade. IWASI Francesco Barile, Vito Manzari
2015	—	`conf`	Combining Users and Items Rankings for Group Decision Support. PAAMS (Special Sessions) Silvia Rossi, Antonio Caso, Francesco Barile
2015	—	`conf`	Evaluating User's Personality and Social Interactions for Groups Recommendations. DMRS Francesco Barile, Francesco Cervone, Silvia Rossi
2015	Misc	`conf`	Evaluating the Social Benefit of a Negotiation-Based Parking Allocation. PAAMS Francesco Barile, Claudia Di Napoli, Dario Di Nocera, Silvia Rossi
2015	—	`conf`	Pre-trip Ratings and Social Networks User Behaviors for Recommendations in Touristic Web Portals. WEBIST (Revised Selected Papers) Silvia Rossi, Francesco Barile, Antonio Caso, Alessandra Rossi
2015	J	`jnl`	QoS-aware task distribution to a team of robots: an healthcare case study. Intelligenza Artificiale Francesco Barile, Alessandra Rossi, Mariacarla Staffa, Claudia Di Napoli, Silvia Rossi
2015	C	`conf`	User and Group Profiling in Touristic Web Portals Through Social Networks Analysis. WEBIST Silvia Rossi, Francesco Barile, Antonio Caso
2014	—	`conf`	Group Recommendation for Smart Applications: A Multi-agent View of the Problem. WOA Francesco Barile, Antonio Caso, Silvia Rossi
2014	—	`conf`	ICT Solutions for the OR.C.HE.S.T.R.A. Project: From Personalized Selection to Enhanced Fruition of Cultural Heritage Data. SITIS Francesco Barile, Davide Maria Calandra, Antonio Caso, Daniela D'Auria, Dario Di Mauro, Francesco Cutugno, Silvia Rossi