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ORCIDFrancesco Barile
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2020 – today
- 2024
[j7]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): 103610 (2024)- [j6]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): 1-58 (2024) - [c36]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 - [c35]Francesco Barile, Federico Maria Cau, Nava Tintarev:
A Preliminary Study of the Impact of Personality on Satisfaction in Group Contexts. UMAP (Adjunct Publication) 2024 - [c34]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 - [i5]Roan Schellingerhout, Francesco Barile, Nava Tintarev:
Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations. CoRR abs/2409.15971 (2024) - [i4]Dina Zilbershtein, Francesco Barile, Daan Odijk, Nava Tintarev:
Bridging the Transparency Gap: Exploring Multi-Stakeholder Preferences for Targeted Advertisement Explanations. CoRR abs/2409.15998 (2024) - 2023
- [j5]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: 1-14 (2023) - [c33]Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile:
VideolandGPT: A User Study on a Conversational Recommender System. KaRS@RecSys 2023: 44-49 - [c32]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: 249-252 - [c31]Kristian van Kuijk, Seyedeh Sara Mahmoudi, Yangfan Wen, Francesco Barile, Tjitze Rienstra:
An Argumentative Framework for Generating Explainable Group Recommendations. UMAP (Adjunct Publication) 2023: 266-274 - [c30]Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev:
Explaining Search Result Stances to Opinionated People. xAI (2) 2023: 573-596 - [c29]Roan Schellingerhout, Francesco Barile, Nava Tintarev:
A Co-design Study for Multi-stakeholder Job Recommender System Explanations. xAI (2) 2023: 597-620 - [i3]Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile:
VideolandGPT: A User Study on a Conversational Recommender System. CoRR abs/2309.03645 (2023) - [i2]Roan Schellingerhout, Francesco Barile, Nava Tintarev:
A Co-design Study for Multi-Stakeholder Job Recommender System Explanations. CoRR abs/2309.05507 (2023) - [i1]Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev:
Explaining Search Result Stances to Opinionated People. CoRR abs/2309.08460 (2023) - 2022
- [c28]Francesco Barile, Amra Delic, Ladislav Peska:
Tutorial on Offline Evaluation for Group Recommender Systems. RecSys 2022: 702-705 - [c27]Federica Lucia Vinella, Amra Delic, Francesco Barile, Ioanna Lykourentzou, Judith Masthoff:
GMAP 2022: Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) 2022: 280-282 - [c26]Marko Tkalcic, Elham Motamedi, Francesco Barile, Eva Puc, Ursa Mars Bitenc:
Prediction of Hedonic and Eudaimonic Characteristics from User Interactions. UMAP (Adjunct Publication) 2022: 366-370 - 2021
- [c25]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: 155-164 - [c24]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
2010 – 2019
- 2019
- [c23]Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza:
Media Monitoring using News Recommenders. IIR 2019: 41-42 - [c22]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: 285-290 - [c21]Francesco Barile, Luigi Schiavulli:
Gamma radiation measurements of naturally radioactive samples at INFN Bari laboratory. IWASI 2019: 291-296 - [c20]Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza:
A News Recommender System for Media Monitoring. WI 2019: 132-140 - 2018
- [j4]Silvia Rossi, Francesco Cervone, Francesco Barile:
An Altruistic-Based Utility Function for Group Recommendation. Trans. Comput. Collect. Intell. 28: 25-47 (2018) - [c19]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: 489-501 - 2017
- [j3]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) - [j2]Silvia Rossi, Francesco Barile, Clemente Galdi, Luca Russo:
Recommendation in museums: paths, sequences, and group satisfaction maximization. Multim. Tools Appl. 76(24): 26031-26055 (2017) - [c18]Silvia Rossi, Francesco Cervone, Francesco Barile:
An Off-line Evaluation of Usersr Ranking Metrics in Group Recommendation. ICAART (1) 2017: 252-259 - [c17]Francesco Barile:
Characterization of the pixel module for the ALICE ITS upgrade. IWASI 2017: 101-106 - [c16]Francesco Barile, Judith Masthoff, Silvia Rossi:
A Detailed Analysis of the Impact of Tie Strength and Conflicts on Social Influence. UMAP (Adjunct Publication) 2017: 227-230 - [c15]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: 357-358 - 2016
- [c14]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: 134-148 - [c13]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: 431-436 - [c12]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: 201-210 - [c11]Silvia Rossi, Francesco Barile, Clemente Galdi, Luca Russo:
Artworks Sequences Recommendations for Groups in Museums. SITIS 2016: 455-462 - [c10]Silvia Rossi, Claudia Di Napoli, Francesco Barile, Luca Liguori:
Conflict Resolution Profiles and Agent Negotiation for Group Recommendations. WOA 2016: 29-34 - 2015
- [j1]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): 179-192 (2015) - [c9]Francesco Barile, Francesco Cervone, Silvia Rossi:
Evaluating User's Personality and Social Interactions for Groups Recommendations. DMRS 2015: 17-20 - [c8]Francesco Barile, Vito Manzari:
Characterization of the prototype pixel chip for the ALICE ITS upgrade. IWASI 2015: 63-67 - [c7]Francesco Barile, Claudia Di Napoli, Dario Di Nocera, Silvia Rossi:
Evaluating the Social Benefit of a Negotiation-Based Parking Allocation. PAAMS 2015: 15-26 - [c6]Silvia Rossi, Antonio Caso, Francesco Barile:
Combining Users and Items Rankings for Group Decision Support. PAAMS (Special Sessions) 2015: 151-158 - [c5]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: 297-317 - [c4]Silvia Rossi, Francesco Barile, Antonio Caso:
User and Group Profiling in Touristic Web Portals Through Social Networks Analysis. WEBIST 2015: 455-465 - [c3]Francesco Barile, Alessandra Rossi, Mariacarla Staffa, Claudia Di Napoli, Silvia Rossi:
A Market Mechanism for QoS-aware Multi-Robot Task Allocation. WOA 2015: 129-134 - 2014
- [c2]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: 501-507 - [c1]Francesco Barile, Antonio Caso, Silvia Rossi:
Group Recommendation for Smart Applications: A Multi-agent View of the Problem. WOA 2014
Coauthor Index
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last updated on 2024-10-17 20:33 CEST by the dblp team
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