ICT Solutions for the OR.C.HE.S.T.R.A. Project: From Personalized Selection to Enhanced Fruition of Cultural Heritage Data. - Francesco Barile; Davide Maria Calandra; Antonio Caso; Daniela D'Auria; Dario Di Mauro; Francesco Cutugno; Silvia Rossi 002 (SITIS, 2014)

Group Recommendation for Smart Applications: A Multi-agent View of the Problem. - Francesco Barile; Antonio Caso; Silvia Rossi 002 (WOA, 2014)

Evaluating User's Personality and Social Interactions for Groups Recommendations. - Francesco Barile; Francesco Cervone; Silvia Rossi 002 (DMRS, 2015)

Characterization of the prototype pixel chip for the ALICE ITS upgrade. - Francesco Barile; Vito Manzari (IWASI, 2015)

Evaluating the Social Benefit of a Negotiation-Based Parking Allocation. - Francesco Barile; Claudia Di Napoli; Dario Di Nocera; Silvia Rossi 002 (PAAMS, 2015)

Combining Users and Items Rankings for Group Decision Support. - Silvia Rossi 002; Antonio Caso; Francesco Barile (PAAMS (Special Sessions), 2015)

Pre-trip Ratings and Social Networks User Behaviors for Recommendations in Touristic Web Portals. - Silvia Rossi 002; Francesco Barile; Antonio Caso; Alessandra Rossi 001 (WEBIST (Revised Selected Papers), 2015)

User and Group Profiling in Touristic Web Portals Through Social Networks Analysis. - Silvia Rossi 002; Francesco Barile; Antonio Caso (WEBIST, 2015)

A Market Mechanism for QoS-aware Multi-Robot Task Allocation. - Francesco Barile; Alessandra Rossi 001; Mariacarla Staffa; Claudia Di Napoli; Silvia Rossi 002 (WOA, 2015)

QoS-aware task distribution to a team of robots: an healthcare case study. - Francesco Barile; Alessandra Rossi 001; Mariacarla Staffa; Claudia Di Napoli; Silvia Rossi 002 (Intelligenza Artificiale, 2015)

A Multi-agent System for Group Decision Support Based on Conflict Resolution Styles. - Silvia Rossi 002; Claudia Di Napoli; Francesco Barile; Luca Liguori (COREDEMA@ECAI, 2016)

Towards a Collaborative Filtering Framework for Recommendation in Museums: From Preference Elicitation to Group's Visits. - Silvia Rossi 002; Francesco Barile; Davide Improta; Luca Russo (EUSPN/ICTH, 2016)

Negotiating and Executing Composite Tasks for QoS-Aware Teams of Robots. - Silvia Rossi 002; Claudia Di Napoli; Francesco Barile; Alessandra Rossi 001; Mariacarla Staffa (PAAMS (Special Sessions), 2016)

Artworks Sequences Recommendations for Groups in Museums. - Silvia Rossi 002; Francesco Barile; Clemente Galdi; Luca Russo (SITIS, 2016)

Conflict Resolution Profiles and Agent Negotiation for Group Recommendations. - Silvia Rossi 002; Claudia Di Napoli; Francesco Barile; Luca Liguori (WOA, 2016)

An Off-line Evaluation of Usersr Ranking Metrics in Group Recommendation. - Silvia Rossi 002; Francesco Cervone; Francesco Barile (ICAART (1), 2017)

Characterization of the pixel module for the ALICE ITS upgrade. - Francesco Barile (IWASI, 2017)

The Adaptation of an Individual's Satisfaction to Group Context: the Role of Ties Strength and Conflicts. - Francesco Barile; Judith Masthoff; Silvia Rossi 002 (UMAP, 2017)

A Detailed Analysis of the Impact of Tie Strength and Conflicts on Social Influence. - Francesco Barile; Judith Masthoff; Silvia Rossi 002 (UMAP (Adjunct Publication), 2017)

A comparison of two preference elicitation approaches for museum recommendations. - Silvia Rossi 002; Francesco Barile; Sergio Di Martino; Davide Improta (Concurr. Comput. Pract. Exp., 2017)

Recommendation in museums: paths, sequences, and group satisfaction maximization. - Silvia Rossi 002; Francesco Barile; Clemente Galdi; Luca Russo (Multim. Tools Appl., 2017)

A Framework for Group Context Aware Recommendation Systems. - Francesco Barile (2017)

Modeling the Changing of the Individual Satisfaction in a Group Context: A Study on Two Sized Groups. - Francesco Barile; Judith Masthoff; Silvia Rossi 002 (AI*IA, 2018)

An Altruistic-Based Utility Function for Group Recommendation. - Silvia Rossi 002; Francesco Cervone; Francesco Barile (Trans. Comput. Collect. Intell., 2018)

Media Monitoring using News Recommenders. - Francesco Barile; Francesco Ricci 001; Marko Tkalcic; Bernardo Magnini; Roberto Zanoli; Alberto Lavelli; Manuela Speranza (IIR, 2019)

Preparation of graphite targets for Accelerator Mass Spectrometry (AMS) radiocarbon measurements at INFN-Bari Laboratory. - Francesco Barile; Serena Barone; Mariaelena Fedi; Lucia Liccioli; Luigi Schiavulli; Giuseppe Casamassima; Antonio Valentini; Cosimo Pastore; Vincenzo Paticchio (IWASI, 2019)

Gamma radiation measurements of naturally radioactive samples at INFN Bari laboratory. - Francesco Barile; Luigi Schiavulli (IWASI, 2019)

A News Recommender System for Media Monitoring. - Francesco Barile; Francesco Ricci 001; Marko Tkalcic; Bernardo Magnini; Roberto Zanoli; Alberto Lavelli; Manuela Speranza (WI, 2019)

Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. - Shabnam Najafian; Tim Draws; Francesco Barile; Marko Tkalcic; Jie Yang 028; Nava Tintarev (HT, 2021)

Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation. - Francesco Barile; Shabnam Najafian; Tim Draws; Oana Inel; Alisa Rieger; Rishav Hada; Nava Tintarev (Perspectives@RecSys, 2021)

Tutorial on Offline Evaluation for Group Recommender Systems. - Francesco Barile; Amra Delic; Ladislav Peska (RecSys, 2022)

Prediction of Hedonic and Eudaimonic Characteristics from User Interactions. - Marko Tkalcic; Elham Motamedi; Francesco Barile; Eva Puc; Ursa Mars Bitenc (UMAP (Adjunct Publication), 2022)

GMAP 2022: Workshop on Group Modeling, Adaptation and Personalization. - Federica Lucia Vinella; Amra Delic; Francesco Barile; Ioanna Lykourentzou; Judith Masthoff (UMAP (Adjunct Publication), 2022)

VideolandGPT: A User Study on a Conversational Recommender System. - Mateo Gutierrez Granada; Dina Zilbershtein; Daan Odijk; Francesco Barile (KaRS@RecSys, 2023)

GMAP 2023: 2nd Workshop on Group Modeling, Adaptation and Personalization. - Francesco Barile; Amra Delic; Ladislav Peska; Isabella Saccardi; Onuralp Ulusoy; Federica Lucia Vinella (UMAP (Adjunct Publication), 2023)

An Argumentative Framework for Generating Explainable Group Recommendations. - Kristian van Kuijk; Seyedeh Sara Mahmoudi; Yangfan Wen; Francesco Barile; Tjitze Rienstra (UMAP (Adjunct Publication), 2023)

A Co-design Study for Multi-stakeholder Job Recommender System Explanations. - Roan Schellingerhout; Francesco Barile; Nava Tintarev (xAI (2), 2023)

Explaining Search Result Stances to Opinionated People. - Zhangyi Wu; Tim Draws; Federico Cau; Francesco Barile; Alisa Rieger; Nava Tintarev (xAI (2), 2023)

Estimation of Mass and Lengths of Sintered Workpieces Using Machine Learning Models. - David Massimo; Elias Ganthaler; Attaullah Buriro; Francesco Barile; Marco Moraschini; Anton Dignös; Thomas Villgrattner; Angelika Peer; Francesco Ricci 001 (IEEE Trans. Instrum. Meas., 2023)

Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations. - Roan Schellingerhout; Francesco Barile; Nava Tintarev (HR@RecSys, 2024)

Bridging the Transparency Gap: Exploring Multi-Stakeholder Preferences for Targeted Advertisement Explanations. - Dina Zilbershtein; Francesco Barile; Daan Odijk; Nava Tintarev (IntRS@RecSys, 2024)

A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems. - Francesco Barile; Federico Maria Cau; Nava Tintarev (UMAP (Adjunct Publication), 2024)

A Preliminary Study of the Impact of Personality on Satisfaction in Group Contexts. - Francesco Barile; Federico Maria Cau; Nava Tintarev (UMAP (Adjunct Publication), 2024)

GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization. - Francesco Barile; Amra Delic; Ladislav Peska; Isabella Saccardi; Federica Lucia Vinella (UMAP (Adjunct Publication), 2024)

Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. - Elham Motamedi; Danial Khosh Kholgh; Sorush Saghari; Mehdi Elahi; Francesco Barile; Marko Tkalcic (Inf. Process. Manag., 2024)

Evaluating explainable social choice-based aggregation strategies for group recommendation. - Francesco Barile; Tim Draws; Oana Inel; Alisa Rieger; Shabnam Najafian; Amir Ebrahimi Fard; Rishav Hada; Nava Tintarev (User Model. User Adapt. Interact., 2024)

OKRA: An Explainable, Heterogeneous, Multi-stakeholder Job Recommender System. - Roan Schellingerhout; Francesco Barile; Nava Tintarev (ECIR (2), 2025)

GMAP 2025: 4th Workshop on Group Modeling, Adaptation and Personalization. - Francesco Barile; Amra Delic; Ladislav Peska; Isabella Saccardi; Cedric Waterschoot (UMAP (Adjunct Publication), 2025)

Bridging the Rift: A Critical Perspective on the Divergence in Group Recommender Systems Research. - Ladislav Peska; Amra Delic; Francesco Barile; Patrik Dokoupil (UMAP (Adjunct Publication), 2025)

The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations. - Cedric Waterschoot; Nava Tintarev; Francesco Barile (UMAP (Adjunct Publication), 2025)

With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations. - Cedric Waterschoot; Raciel Yera Toledo; Nava Tintarev; Francesco Barile (UMAP, 2025)

Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations. - Cedric Waterschoot; Nava Tintarev; Francesco Barile (CoRR, 2025)