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Fedelucio Narducci
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- affiliation: Politecnico di Bari, Italy
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2020 – today
- 2024
- [j23]Giovanni Maria Biancofiore, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci:
Interactive Question Answering Systems: Literature Review. ACM Comput. Surv. 56(9): 239:1-239:38 (2024) - [j22]Cataldo Musto, Alessandro Francesco Maria Martina, Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain. J. Intell. Inf. Syst. 62(2): 575-599 (2024) - [c82]Dario Di Palma, Giovanni Servedio, Vito Walter Anelli, Giovanni Maria Biancofiore, Fedelucio Narducci, Leonarda Carnimeo, Tommaso Di Noia:
Beyond Words: Can ChatGPT Support State-of-the-Art Recommender Systems? IIR 2024: 13-22 - [c81]Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci:
The CAMEO Project: A Holistic View for Conversational Agents. IIR 2024: 107-110 - [c80]Antonio Ferrara, Marco Valentini, Paolo Masciullo, Antonio De Candia, Davide Abbattista, Riccardo Fusco, Claudio Pomo, Vito Walter Anelli, Giovanni Maria Biancofiore, Ludovico Boratto, Fedelucio Narducci:
DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation. RecSys Challenge 2024: 12-16 - [c79]Vito Walter Anelli, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys 2024: 1245-1249 - [c78]Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci:
CAMEO: Fostering Joint Conversational Search and Recommendation. SEBD 2024: 290-301 - [c77]Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Angela Lombardi, Fedelucio Narducci, Fabrizio Festa, Tommaso Di Noia:
EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface. UMAP (Adjunct Publication) 2024 - [c76]Tommaso Colafiglio, Tommaso Di Noia, Domenico Lofù, Angela Lombardi, Fedelucio Narducci, Paolo Sorino:
Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM). UMAP (Adjunct Publication) 2024 - [c75]Paolo Sorino, Giovanni Maria Biancofiore, Domenico Lofù, Tommaso Colafiglio, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia:
ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation. UMAP (Adjunct Publication) 2024 - [i9]Andrea Lops, Fedelucio Narducci, Azzurra Ragone, Michelantonio Trizio, Claudio Bartolini:
A System for Automated Unit Test Generation Using Large Language Models and Assessment of Generated Test Suites. CoRR abs/2408.07846 (2024) - 2023
- [j21]Andrea Iovine, Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro:
Virtual Customer Assistants in finance: From state of the art and practices to design guidelines. Comput. Sci. Rev. 47: 100534 (2023) - [j20]Giandomenico Cornacchia, Vito Walter Anelli, Giovanni Maria Biancofiore, Fedelucio Narducci, Claudio Pomo, Azzurra Ragone, Eugenio Di Sciascio:
Auditing fairness under unawareness through counterfactual reasoning. Inf. Process. Manag. 60(2): 103224 (2023) - [c74]Angela Lombardi, Maria Luigia Natalia De Bonis, Giuseppe Fasano, Alessia Sportelli, Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia:
Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023. CLEF (Working Notes) 2023: 1272-1285 - [c73]Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting. ECAI 2023: 477-484 - [c72]Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Reasoning for Responsible AI Assessment. Ital-IA 2023: 347-352 - [c71]Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco M. Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys 2023: 1259-1262 - [c70]Alessandro De Bellis, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Semantic Interpretation of BERT Embeddings with Knowledge Graphs. SEBD 2023: 181-191 - [c69]Paolo Sorino, Vincenzo Paparella, Domenico Lofù, Tommaso Colafiglio, Eugenio Di Sciascio, Fedelucio Narducci, Rodolfo Sardone, Tommaso Di Noia:
A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment Prediction. SMC 2023: 3822-3827 - [c68]Tommaso Colafiglio, Paolo Sorino, Domenico Lofù, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia:
Combining Mental States Recognition and Machine Learning for Neurorehabilitation. SMC 2023: 3848-3853 - [c67]Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Reasoning for Decision Model Fairness Assessment. WWW (Companion Volume) 2023: 229-233 - [e5]Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. CEUR Workshop Proceedings 3560, CEUR-WS.org 2023 [contents] - [i8]Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio:
MAFUS: a Framework to predict mortality risk in MAFLD subjects. CoRR abs/2301.06908 (2023) - [i7]Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning. CoRR abs/2302.08158 (2023) - [i6]Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting. CoRR abs/2302.08204 (2023) - [i5]Dario Di Palma, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio:
Evaluating ChatGPT as a Recommender System: A Rigorous Approach. CoRR abs/2309.03613 (2023) - 2022
- [j19]Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo:
Conversational recommendation: Theoretical model and complexity analysis. Inf. Sci. 614: 325-347 (2022) - [j18]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
User-controlled federated matrix factorization for recommender systems. J. Intell. Inf. Syst. 58(2): 287-309 (2022) - [j17]Andrea Iovine, Pasquale Lops, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system. J. Intell. Inf. Syst. 58(2): 337-362 (2022) - [c66]Alessandro Francesco Maria Martina, Cataldo Musto, Andrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro:
Narrative Recommendations based on Natural Language Preference Elicitation for a Virtual Assistant for the Movie Domain. DP@AI*IA 2022: 95-104 - [c65]Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo:
Towards a theoretical formalization of conversational recommendation. CIKM Workshops 2022 - [c64]Giovanni Castiglia, Ayoub El Majjodi, Federica Calò, Yashar Deldjoo, Fedelucio Narducci, Alain Starke, Christoph Trattner:
Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels. KaRS@RecSys 2022: 29-35 - [c63]Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys 2022: 663-666 - [c62]Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore:
Aspect based sentiment analysis in music: a case study with spotify. SAC 2022: 696-703 - [c61]Carmelo Ardito, Ilaria Bortone, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Fedelucio Narducci, Rodolfo Sardone, Paolo Sorino:
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition. SMC 2022: 2689-2694 - [c60]Fabio Castellana, Simona Aresta, Paolo Sorino, Ilaria Bortone, Domenico Lofù, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio, Rodolfo Sardone:
An Artificial Neural Network Model to Assess Nutritional Factors Associated with Frailty in the Aging Population from Southern Italy. SMC 2022: 3228-3233 - [c59]Alessandro Francesco Maria Martina, Cataldo Musto, Andrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro:
A Virtual Assistant for the Movie Domain Exploiting Natural Language Preference Elicitation Strategies. UMAP (Adjunct Publication) 2022: 7-12 - [e4]Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, September 22nd, 2022. CEUR Workshop Proceedings 3294, CEUR-WS.org 2022 [contents] - [r2]Cataldo Musto, Marco de Gemmis, Pasquale Lops, Fedelucio Narducci, Giovanni Semeraro:
Semantics and Content-Based Recommendations. Recommender Systems Handbook 2022: 251-298 - [i4]Giovanni Maria Biancofiore, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci:
Interactive Question Answering Systems: Literature Review. CoRR abs/2209.01621 (2022) - 2021
- [j16]Marco Polignano, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors. Expert Syst. Appl. 170: 114382 (2021) - [j15]Vito Walter Anelli, Pierpaolo Basile, Toine Bogers, Tommaso Di Noia, Francesco Maria Donini, Bamshad Mobasher, Cataldo Musto, Fedelucio Narducci, Casper Petersen, Maria Soledad Pera, Markus Zanker:
Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021. SIGIR Forum 55(2): 17:1-17:9 (2021) - [j14]Cataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services. ACM Trans. Inf. Syst. 39(4): 46:1-46:34 (2021) - [c58]Giandomenico Cornacchia, Francesco M. Donini, Fedelucio Narducci, Claudio Pomo, Azzurra Ragone:
Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems. CAiSE Workshops 2021: 39-47 - [c57]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
FedeRank: User Controlled Feedback with Federated Recommender Systems. ECIR (1) 2021: 32-47 - [c56]Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore:
GUapp: Enhancing Job Recommendations with Knowledge Graphs. IIR 2021 - [c55]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
An Investigation on the Impact of Natural Language on Conversational Recommendations. IIR 2021 - [c54]Giandomenico Cornacchia, Fedelucio Narducci, Azzurra Ragone:
Improving the User Experience and the Trustworthiness of Financial Services. INTERACT (5) 2021: 264-269 - [c53]Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco M. Donini, Cataldo Musto, Fedelucio Narducci, Markus Zanker:
Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys 2021: 806-809 - [c52]Vito Walter Anelli, Luca Belli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci, Claudio Pomo:
Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications. RecSys 2021: 838-841 - [c51]Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore:
GUApp: a Knowledge-aware Conversational Agent for Job Recommendation (Short paper). KaRS/ComplexRec@RecSys 2021 - [c50]Giandomenico Cornacchia, Fedelucio Narducci, Azzurra Ragone:
A General Model for Fair and Explainable Recommendation in the Loan Domain (Short paper). KaRS/ComplexRec@RecSys 2021 - [c49]Paolo Pastore, Andrea Iovine, Fedelucio Narducci, Giovanni Semeraro:
A General Aspect-Term-Extraction Model for Multi-Criteria Recommendations (Long paper). KaRS/ComplexRec@RecSys 2021 - [c48]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
How to put users in control of their data in federated top-N recommendation with learning to rank. SAC 2021: 1359-1362 - [c47]Andrea Iovine, Pasquale Lops, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
Improving preference elicitation in a conversational recommender system with active learning strategies. SAC 2021: 1375-1382 - [c46]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
Federated Recommender Systems with Learning to Rank. SEBD 2021: 71-82 - [e3]Vito Walter Anelli, Tommaso Di Noia, Nicola Ferro, Fedelucio Narducci:
Proceedings of the 11th Italian Information Retrieval Workshop 2021, Bari, Italy, September 13-15, 2021. CEUR Workshop Proceedings 2947, CEUR-WS.org 2021 [contents] - [e2]Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco Maria Donini, Cataldo Musto, Fedelucio Narducci, Markus Zanker, Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera:
Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Virtual Event, Amsterdam, The Netherlands, September 25, 2021. CEUR Workshop Proceedings 2960, CEUR-WS.org 2021 [contents] - [i3]Tommaso Di Noia, Francesco M. Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo:
Conversational Recommendation: Theoretical Model and Complexity Analysis. CoRR abs/2111.05578 (2021) - 2020
- [j13]Marco Polignano, Fedelucio Narducci, Andrea Iovine, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro:
HealthAssistantBot: A Personal Health Assistant for the Italian Language. IEEE Access 8: 107479-107497 (2020) - [j12]Andrea Iovine, Fedelucio Narducci, Giovanni Semeraro:
Conversational Recommender Systems and natural language: : A study through the ConveRSE framework. Decis. Support Syst. 131: 113250 (2020) - [j11]Fedelucio Narducci, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
An investigation on the user interaction modes of conversational recommender systems for the music domain. User Model. User Adapt. Interact. 30(2): 251-284 (2020) - [c45]Vito Bellini, Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Claudio Pomo:
GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration. EAIS 2020: 1-7 - [c44]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
Humanoid Robots and Conversational Recommender Systems: a Preliminary Study. EAIS 2020: 1-7 - [c43]Andrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro, Doriana Filisetti, Davide Ingoglia, Georgios Lekkas:
A Virtual Customer Assistant for the Wealth Management domain in the UWMP project. HAI-GEN+user2agent@IUI 2020 - [c42]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Marco Polignano, Pierpaolo Basile, Giovanni Semeraro:
A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems. IntRS@RecSys 2020: 37-47 - [c41]Cataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling. UMAP (Adjunct Publication) 2020: 213-218 - [i2]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
How to Put Users in Control of their Data via Federated Pair-Wise Recommendation. CoRR abs/2008.07192 (2020) - [i1]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
FedeRank: User Controlled Feedback with Federated Recommender Systems. CoRR abs/2012.11328 (2020)
2010 – 2019
- 2019
- [b1]Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
Semantics in Adaptive and Personalised Systems - Methods, Tools and Applications. Springer 2019, ISBN 978-3-030-05617-9, pp. 1-186 - [j10]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Linked open data-based explanations for transparent recommender systems. Int. J. Hum. Comput. Stud. 121: 93-107 (2019) - [c40]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis:
A Dataset of Real Dialogues for Conversational Recommender Systems. CLiC-it 2019 - [e1]Vito Walter Anelli, Tommaso Di Noia, Pasquale Lops, Cataldo Musto, Markus Zanker, Pierpaolo Basile, Derek G. Bridge, Fedelucio Narducci:
Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, KaRS@RecSys 2018, Vancouver, Canada, October 7, 2018. CEUR Workshop Proceedings 2290, CEUR-WS.org 2019 [contents] - 2018
- [j9]Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning. Inf. Syst. Frontiers 20(6): 1157-1171 (2018) - [c39]Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Improving the User Experience with a Conversational Recommender System. AI*IA 2018: 528-538 - [c38]Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
A Framework for Building Chat-based Recommender Systems. CIKM Workshops 2018 - [c37]Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
A Domain-independent Framework for building Conversational Recommender Systems. KaRS@RecSys 2018: 29-34 - [c36]Vito Walter Anelli, Pierpaolo Basile, Derek G. Bridge, Tommaso Di Noia, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Markus Zanker:
Knowledge-aware and conversational recommender systems. RecSys 2018: 521-522 - [p3]Pasquale Lops, Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Marco Polignano, Giovanni Semeraro:
Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering. Collaborative Recommendations 2018: 329-368 - 2017
- [j8]Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro:
Power to the patients: The HealthNetsocial network. Inf. Syst. 71: 111-122 (2017) - [j7]Fedelucio Narducci, Matteo Palmonari, Giovanni Semeraro:
Cross-lingual link discovery with TR-ESA. Inf. Sci. 394: 68-87 (2017) - [c35]Marco Polignano, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro:
Do You Feel Blue? Detection of Negative Feeling from Social Media. AI*IA 2017: 321-333 - [c34]Fedelucio Narducci, Cataldo Musto, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Recommending Doctors and Health Facilities in the HealthNet Social Network. SoMePeAS@ECIR 2017: 1-7 - [c33]Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Temporal Semantic Analysis of Conference Proceedings. ECIR 2017: 762-765 - [c32]Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Recommender Systems in the Internet of Talking Things (IoTT). RecSys Posters 2017 - 2016
- [j6]Fedelucio Narducci, Marco Comerio, Carlo Batini, Marco Castelli:
A similarity-based framework for service repository integration. Data Knowl. Eng. 106: 18-35 (2016) - [j5]Fedelucio Narducci, Pierpaolo Basile, Cataldo Musto, Pasquale Lops, Annalina Caputo, Marco de Gemmis, Leo Iaquinta, Giovanni Semeraro:
Concept-based item representations for a cross-lingual content-based recommendation process. Inf. Sci. 374: 15-31 (2016) - [c31]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud. RecSys 2016: 151-154 - [c30]Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
T-RecS: A Framework for a Temporal Semantic Analysis of the ACM Recommender Systems Conference. RecSys 2016: 405-406 - 2015
- [c29]Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro, Fedelucio Narducci:
UNIBA: Exploiting a Distributional Semantic Model for Disambiguating and Linking Entities in Tweets. #MSM 2015: 62 - [c28]Fedelucio Narducci, Marco de Gemmis, Pasquale Lops:
A General Architecture for an Emotion-aware Content-based Recommender System. EMPIRE@RecSys 2015: 3-6 - [c27]Fedelucio Narducci, Cataldo Musto, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network. WWW (Companion Volume) 2015: 81-82 - [r1]Marco de Gemmis, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
Semantics-Aware Content-Based Recommender Systems. Recommender Systems Handbook 2015: 119-159 - 2014
- [c26]Fedelucio Narducci, Matteo Palmonari, Giovanni Semeraro:
CroSeR: Cross-language Semantic Retrieval of Open Government Data. ECIR 2014: 793-797 - [c25]Pierpaolo Basile, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Fedelucio Narducci, Giovanni Semeraro:
Content-Based Recommender Systems + DBpedia Knowledge = Semantics-Aware Recommender Systems. SemWebEval@ESWC 2014: 163-169 - [c24]Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Fedelucio Narducci, Luciana Bordoni, Mauro Annunziato, Claudia Meloni, Franco F. Orsucci, Giulia Paoloni:
Developing a Semantic Content Analyzer for L'Aquila Social Urban Network. IIR 2014: 34-38 - 2013
- [j4]Luciana Bordoni, Liliana Ardissono, Juan A. Barceló, Antonio Chella, Marco de Gemmis, Cristina Gena, Leo Iaquinta, Pasquale Lops, Francesco Mele, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Antonio Sorgente:
The contribution of AI to enhance understanding of Cultural Heritage. Intelligenza Artificiale 7(2): 101-112 (2013) - [j3]Giovanni Semeraro, Pierpaolo Basile, Roberto Basili, Marco de Gemmis, Chiara Ghidini, Maurizio Lenzerini, Pasquale Lops, Alessandro Moschitti, Cataldo Musto, Fedelucio Narducci, Arianna Pipitone, Roberto Pirrone, Piero Poccianti, Luciano Serafini:
Semantic technologies for industry: From knowledge modeling and integration to intelligent applications. Intelligenza Artificiale 7(2): 125-137 (2013) - [j2]Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Cataldo Musto, Fedelucio Narducci:
Content-based and collaborative techniques for tag recommendation: an empirical evaluation. J. Intell. Inf. Syst. 40(1): 41-61 (2013) - [c23]Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems. EC-Web 2013: 182-193 - [c22]Fedelucio Narducci, Matteo Palmonari, Giovanni Semeraro:
Cross-language Semantic Matching for Discovering Links to e-gov Services in the LOD Cloud. KNOW@LOD 2013: 21-32 - [c21]Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Myusic: a Content-based Music Recommender System based on eVSM and Social Media. IIR 2013: 65-72 - [c20]Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Distributional Models vs. Linked Data: Exploiting Crowdsourcing to Personalize Music Playlists. IIR 2013: 84-87 - [c19]Fedelucio Narducci, Matteo Palmonari, Giovanni Semeraro:
Cross-Language Semantic Retrieval and Linking of E-Gov Services. ISWC (2) 2013: 130-145 - [c18]Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles. UMAP 2013: 350-352 - 2012
- [j1]Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Cataldo Musto, Fedelucio Narducci:
A folksonomy-based recommender system for personalized access to digital artworks. ACM Journal on Computing and Cultural Heritage 5(3): 11:1-11:22 (2012) - [c17]Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Fedelucio Narducci:
Leveraging Social Media Sources to Generate Personalized Music Playlists. EC-Web 2012: 112-123 - [c16]Cataldo Musto, Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Comparing Word Sense Disambiguation and Distributional Models for Cross-Language Information Filtering. IIR 2012: 117-120 - [c15]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Mauro Barbieri, Jan H. M. Korst, Verus Pronk, Ramon Clout:
TV-Show Retrieval and Classification. IIR 2012: 179-182 - [c14]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Mauro Barbieri, Jan H. M. Korst, Verus Pronk, Ramon Clout:
Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides. UMAP 2012: 188-199 - 2011
- [c13]Cataldo Musto, Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Cross-Language Information Filtering: Word Sense Disambiguation vs. Distributional Models. AI*IA 2011: 250-261 - [c12]Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro:
Learning semantic content-based profiles for cross-language recommendations. PMHR@HT 2011: 26-33 - [c11]Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Explicit Semantic Analysis for Enriching Content-Based User Profiles. IIR 2011 - [c10]Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Fedelucio Narducci, Cataldo Musto:
Leveraging the linkedin social network data for extracting content-based user profiles. RecSys 2011: 293-296 - 2010
- [c9]Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro:
Cross-Language Personalization through a Semantic Content-Based Recommender System. AIMSA 2010: 52-60 - [c8]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis:
Combining Collaborative and Content-Based Techniques for Tag Recommendation. EC-Web 2010: 13-23 - [c7]Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
An IR-Based Approach for Tag Recommendation. IIR 2010: 65-69 - [c6]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Integrating a Content-Based Recommender System into Digital Libraries for Cultural Heritage. IRCDL 2010: 27-38 - [c5]Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro:
MARS: a MultilAnguage Recommender System. HetRec@RecSys 2010: 24-31 - [p2]Marco de Gemmis, Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
Learning Preference Models in Recommender Systems. Preference Learning 2010: 387-407
2000 – 2009
- 2009
- [c4]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco Degemmis, Giovanni Semeraro:
Content-Based Personalization Services Integrating Folksonomies. EC-Web 2009: 217-228 - [c3]Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Paolo Gissi, Cataldo Musto, Fedelucio Narducci:
Content-Based Filtering with Tags: The FIRSt System. ISDA 2009: 255-260 - [c2]Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
STaR: a Social Tag Recommender System. DC@PKDD/ECML 2009 - [c1]Pierpaolo Basile, Marco de Gemmis, Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
SpIteR: A Module for Recommending Dynamic Personalized Museum Tours. Web Intelligence 2009: 584-587 - [p1]Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Cataldo Musto, Fedelucio Narducci, Massimo Bux:
A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Access. Web Personalization in Intelligent Environments 2009: 27-47
Coauthor Index
aka: Marco de Gemmis
aka: Francesco Maria Donini
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