Francesco Barile

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 36

Top Topics

Preliminary Analysis

Recommender Systems

Top Venues

UMAP (Adjunct Publication)

Publications

Francesco Barile, Federico Maria Cau, Nava Tintarev
A Preliminary Study of the Impact of Personality on Satisfaction in Group Contexts. UMAP (Adjunct Publication) (2024)
Francesco Barile, Federico Maria Cau, Nava Tintarev
A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems. UMAP (Adjunct Publication) (2024)
Elham Motamedi, Danial Khosh Kholgh, Sorush Saghari, Mehdi Elahi, Francesco Barile, Marko Tkalcic
Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. Inf. Process. Manag. 61 (2) (2024)
Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev
Evaluating explainable social choice-based aggregation strategies for group recommendation. User Model. User Adapt. Interact. 34 (1) (2024)
Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Federica Lucia Vinella
GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) (2024)
David Massimo, Elias Ganthaler, Attaullah Buriro, Francesco Barile, Marco Moraschini, Anton Dignös, Thomas Villgrattner, Angelika Peer, Francesco Ricci
Estimation of Mass and Lengths of Sintered Workpieces Using Machine Learning Models. IEEE Trans. Instrum. Meas. 72 (2023)
Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev
Explaining Search Result Stances to Opinionated People. xAI (2) (2023)
Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev
Explaining Search Result Stances to Opinionated People. CoRR (2023)
Roan Schellingerhout, Francesco Barile, Nava Tintarev
A Co-design Study for Multi-Stakeholder Job Recommender System Explanations. CoRR (2023)
Roan Schellingerhout, Francesco Barile, Nava Tintarev
A Co-design Study for Multi-stakeholder Job Recommender System Explanations. xAI (2) (2023)
Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile
VideolandGPT: A User Study on a Conversational Recommender System. KaRS@RecSys (2023)
Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile
VideolandGPT: A User Study on a Conversational Recommender System. CoRR (2023)
Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Onuralp Ulusoy, Federica Lucia Vinella
GMAP 2023: 2nd Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) (2023)
Kristian van Kuijk, Seyedeh Sara Mahmoudi, Yangfan Wen, Francesco Barile, Tjitze Rienstra
An Argumentative Framework for Generating Explainable Group Recommendations. UMAP (Adjunct Publication) (2023)
Federica Lucia Vinella, Amra Delic, Francesco Barile, Ioanna Lykourentzou, Judith Masthoff
GMAP 2022: Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) (2022)
Marko Tkalcic, Elham Motamedi, Francesco Barile, Eva Puc, Ursa Mars Bitenc
Prediction of Hedonic and Eudaimonic Characteristics from User Interactions. UMAP (Adjunct Publication) (2022)
Francesco Barile, Amra Delic, Ladislav Peska
Tutorial on Offline Evaluation for Group Recommender Systems. RecSys (2022)
Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. HT (2021)
Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev
Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation. Perspectives@RecSys (2021)
Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza
A News Recommender System for Media Monitoring. WI (2019)
Francesco Barile, Serena Barone, Mariaelena Fedi, Lucia Liccioli, Luigi Schiavulli, Giuseppe Casamassima, Antonio Valentini, Cosimo Pastore, Vincenzo Paticchio
Preparation of graphite targets for Accelerator Mass Spectrometry (AMS) radiocarbon measurements at INFN-Bari Laboratory. IWASI (2019)
Francesco Barile, Luigi Schiavulli
Gamma radiation measurements of naturally radioactive samples at INFN Bari laboratory. IWASI (2019)
Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza
Media Monitoring using News Recommenders. IIR (2019)
Silvia Rossi, Francesco Cervone, Francesco Barile
An Altruistic-Based Utility Function for Group Recommendation. Trans. Comput. Collect. Intell. 28 (2018)
Francesco Barile, Judith Masthoff, Silvia Rossi
Modeling the Changing of the Individual Satisfaction in a Group Context: A Study on Two Sized Groups. AI*IA (2018)
Francesco Barile
Characterization of the pixel module for the ALICE ITS upgrade. IWASI (2017)
Francesco Barile, Judith Masthoff, Silvia Rossi
The Adaptation of an Individual's Satisfaction to Group Context: the Role of Ties Strength and Conflicts. UMAP (2017)
Silvia Rossi, Francesco Barile, Sergio Di Martino, Davide Improta
A comparison of two preference elicitation approaches for museum recommendations. Concurr. Comput. Pract. Exp. 29 (11) (2017)
Francesco Barile, Judith Masthoff, Silvia Rossi
A Detailed Analysis of the Impact of Tie Strength and Conflicts on Social Influence. UMAP (Adjunct Publication) (2017)
Silvia Rossi, Francesco Cervone, Francesco Barile
An Off-line Evaluation of Usersr Ranking Metrics in Group Recommendation. ICAART (1) (2017)
Silvia Rossi, Francesco Barile, Clemente Galdi, Luca Russo
Recommendation in museums: paths, sequences, and group satisfaction maximization. Multim. Tools Appl. 76 (24) (2017)
Silvia Rossi, Claudia Di Napoli, Francesco Barile, Luca Liguori
Conflict Resolution Profiles and Agent Negotiation for Group Recommendations. WOA (2016)
Silvia Rossi, Claudia Di Napoli, Francesco Barile, Alessandra Rossi, Mariacarla Staffa
Negotiating and Executing Composite Tasks for QoS-Aware Teams of Robots. PAAMS (Special Sessions) (2016)
Silvia Rossi, Francesco Barile, Clemente Galdi, Luca Russo
Artworks Sequences Recommendations for Groups in Museums. SITIS (2016)
Silvia Rossi, Francesco Barile, Davide Improta, Luca Russo
Towards a Collaborative Filtering Framework for Recommendation in Museums: From Preference Elicitation to Group's Visits. EUSPN/ICTH (2016)
Silvia Rossi, Claudia Di Napoli, Francesco Barile, Luca Liguori
A Multi-agent System for Group Decision Support Based on Conflict Resolution Styles. COREDEMA@ECAI (2016)
Francesco Barile, Claudia Di Napoli, Dario Di Nocera, Silvia Rossi
Evaluating the Social Benefit of a Negotiation-Based Parking Allocation. PAAMS (2015)
Silvia Rossi, Antonio Caso, Francesco Barile
Combining Users and Items Rankings for Group Decision Support. PAAMS (Special Sessions) (2015)
Francesco Barile, Vito Manzari
Characterization of the prototype pixel chip for the ALICE ITS upgrade. IWASI (2015)
Francesco Barile, Alessandra Rossi, Mariacarla Staffa, Claudia Di Napoli, Silvia Rossi
A Market Mechanism for QoS-aware Multi-Robot Task Allocation. WOA (2015)
Silvia Rossi, Francesco Barile, Antonio Caso, Alessandra Rossi
Pre-trip Ratings and Social Networks User Behaviors for Recommendations in Touristic Web Portals. WEBIST (Revised Selected Papers) (2015)
Francesco Barile, Alessandra Rossi, Mariacarla Staffa, Claudia Di Napoli, Silvia Rossi
QoS-aware task distribution to a team of robots: an healthcare case study. Intelligenza Artificiale 9 (2) (2015)
Silvia Rossi, Francesco Barile, Antonio Caso
User and Group Profiling in Touristic Web Portals Through Social Networks Analysis. WEBIST (2015)
Francesco Barile, Francesco Cervone, Silvia Rossi
Evaluating User's Personality and Social Interactions for Groups Recommendations. DMRS (2015)
Francesco Barile, Antonio Caso, Silvia Rossi
Group Recommendation for Smart Applications: A Multi-agent View of the Problem. WOA (2014)
Francesco Barile, Davide Maria Calandra, Antonio Caso, Daniela D'Auria, Dario Di Mauro, Francesco Cutugno, Silvia Rossi
ICT Solutions for the OR.C.HE.S.T.R.A. Project: From Personalized Selection to Enhanced Fruition of Cultural Heritage Data. SITIS (2014)