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Francesco Barile
Francesco Barile
Assistant Professor, DACS, Maastricht University
Verified email at maastrichtuniversity.nl
Title
Cited by
Cited by
Year
Dominance Weighted Social Choice Functions for Group Recommendations. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal (ISSN: 2255-2863)
S Rossi, F Barile, A Caso
Salamanca 4 (1), 2015
352015
Recommendation in museums: paths, sequences, and group satisfaction maximization
S Rossi, F Barile, C Galdi, L Russo
Multimedia Tools and Applications 76, 26031-26055, 2017
232017
ICT solutions for the OR. C. HE. STRA project: from personalized selection to enhanced fruition of cultural heritage data
F Barile, DM Calandra, A Caso, D DAuria, D Di Mauro, F Cutugno, ...
2014 Tenth International Conference on Signal-Image Technology and Internet …, 2014
232014
Towards a collaborative filtering framework for recommendation in museums: From preference elicitation to group's visits
S Rossi, F Barile, D Improta, L Russo
Procedia Computer Science 98, 431-436, 2016
172016
Combining users and items rankings for group decision support
S Rossi, A Caso, F Barile
Trends in Practical Applications of Agents, Multi-Agent Systems and …, 2015
172015
A multi-agent system for group decision support based on conflict resolution styles
S Rossi, C Di Napoli, F Barile, L Liguori
Conflict Resolution in Decision Making: Second International Workshop …, 2017
122017
Artworks sequences recommendations for groups in museums
S Rossi, F Barile, C Galdi, L Russo
2016 12th International Conference on Signal-Image Technology & Internet …, 2016
122016
The Adaptation of an Individual's Satisfaction to Group Context: the Role of Ties Strength and Conflicts
F Barile, J Masthoff, S Rossi
Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017
112017
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations
S Najafian, T Draws, F Barile, M Tkalcic, J Yang, N Tintarev
Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 155-164, 2021
102021
A comparison of two preference elicitation approaches for museum recommendations
S Rossi, F Barile, S Di Martino, D Improta
Concurrency and Computation: Practice and Experience 29 (11), e4100, 2017
102017
Pre-trip ratings and social networks user behaviors for recommendations in touristic web portals
S Rossi, F Barile, A Caso, A Rossi
Web Information Systems and Technologies: 11th International Conference …, 2016
102016
A News Recommender System for Media Monitoring
F Barile, F Ricci, M Tkalcic, B Magnini, R Zanoli, A Lavelli, M Speranza
IEEE/WIC/ACM International Conference on Web Intelligence, 132-140, 2019
92019
A Detailed Analysis of the Impact of Tie Strength and Conflicts on Social Influence
F Barile, J Masthoff, S Rossi
Adjunct Publication of the 25th Conference on User Modeling, Adaptation and …, 2017
92017
Explaining Search Result Stances to Opinionated People
Z Wu, T Draws, F Cau, F Barile, A Rieger, N Tintarev
World Conference on Explainable Artificial Intelligence, 573-596, 2023
82023
An Altruistic-Based Utility Function for Group Recommendation
S Rossi, F Cervone, F Barile
Transactions on Computational Collective Intelligence XXVIII, 25-47, 2018
82018
Group Recommendation for Smart Applications: A Multi-agent View of the Problem.
F Barile, A Caso, S Rossi
WOA, 2014
82014
Prediction of Eudaimonic and Hedonic Orientation of Movie Watchers
E Motamedi, F Barile, M Tkalčič
Applied Sciences 12 (19), 9500, 2022
62022
Prediction of Hedonic and Eudaimonic Characteristics from User Interactions
M Tkalcic, E Motamedi, F Barile, E Puc, U Mars Bitenc
Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation …, 2022
62022
Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation.
F Barile, S Najafian, T Draws, O Inel, A Rieger, R Hada, N Tintarev
Perspectives@ RecSys, 2021
62021
Conflict Resolution Profiles and Agent Negotiation for Group Recommendations.
S Rossi, C Di Napoli, F Barile, L Liguori
WOA, 29-34, 2016
62016
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