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ORCIDGiovanni Semeraro
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- affiliation: University of Bari "Aldo Moro", Italy
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2020 – today
- 2024
[j72]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)- [j71]Alain D. Starke, Cataldo Musto, Amon Rapp, Giovanni Semeraro, Christoph Trattner:
"Tell Me Why": using natural language justifications in a recipe recommender system to support healthier food choices. User Model. User Adapt. Interact. 34(2): 407-440 (2024) - [j70]Cataldo Musto, Giuseppe Spillo, Giovanni Semeraro:
Harnessing distributional semantics to build context-aware justifications for recommender systems. User Model. User Adapt. Interact. 34(3): 659-690 (2024) - [c318]Elio Musacchio, Lucia Siciliani, Pierpaolo Basile, Giovanni Semeraro:
Adapting Large Language Models to Narrative Content. CREAI@ECAI 2024: 17-29 - [c317]Gaetano Dibenedetto, Marco Polignano, Pasquale Lops, Giovanni Semeraro:
Prompting Large Language Models for Tailored Exercise Recommendations in Office Spaces. HealthRecSys@RecSys 2024: 77-88 - [c316]Pierpaolo Basile, Marco de Gemmis, Elio Musacchio, Marco Polignano, Giovanni Semeraro, Lucia Siciliani, Vincenzo Tamburrano, Vita Santa Barletta, Danilo Caivano, Fabiana Battista, Antonietta Curci, Rosa Scardigno, Gabriella Calvano, Patrizia Sorianello:
Explaining Intimate Partner Violence with LLaMAntino. Ital-IA 2024: 29-34 - [c315]Pasquale Lops, Antonio Silletti, Marco Polignano, Cataldo Musto, Giovanni Semeraro:
Reproducibility of LLM-based Recommender Systems: the Case Study of P5 Paradigm. RecSys 2024: 116-125 - [c314]Alessandro Petruzzelli, Cataldo Musto, Lucrezia Laraspata, Ivan Rinaldi, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations. RecSys 2024: 298-308 - [c313]Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro:
Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances. RecSys 2024: 866-871 - [c312]Alessandro Petruzzelli, Cataldo Musto, Michele Ciro Di Carlo, Giovanni Tempesta, Giovanni Semeraro:
Recommending Healthy and Sustainable Meals exploiting Food Retrieval and Large Language Models. RecSys 2024: 1057-1061 - [c311]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24). RecSys 2024: 1253-1257 - [c310]Gaetano Dibenedetto, Marco Polignano, Pasquale Lops, Giovanni Semeraro:
Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces. UMAP (Adjunct Publication) 2024 - [c309]Giuseppe Spillo, Francesco Bottalico, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks. UMAP 2024: 165-171 - [c308]Alessandro Petruzzelli, Alessandro Francesco Maria Martina, Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings. UMAP 2024: 172-182 - [c307]Marco Polignano, Cataldo Musto, Amra Delic, Oana Inel, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler:
ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems. UMAP (Adjunct Publication) 2024 - [e36]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), Hybrid Event, Bari, Italy, October 18, 2024. CEUR Workshop Proceedings 3815, CEUR-WS.org 2024 [contents] - [d5]Gaetano Dibenedetto, Marco Polignano, Pasquale Lops, Giovanni Semeraro:
Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces. Zenodo, 2024
- [i3]Marco Polignano, Pierpaolo Basile, Giovanni Semeraro:
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA. CoRR abs/2405.07101 (2024) - 2023
- [j69]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) - [j68]Marco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
HELENA: An intelligent digital assistant based on a Lifelong Health User Model. Inf. Process. Manag. 60(1): 103124 (2023) - [j67]Pasquale Lops, Marco Polignano, Cataldo Musto, Antonio Silletti, Giovanni Semeraro:
ClayRS: An end-to-end framework for reproducible knowledge-aware recommender systems. Inf. Syst. 119: 102273 (2023) - [j66]Filippo Lorè, Pierpaolo Basile, Annalisa Appice, Marco de Gemmis, Donato Malerba, Giovanni Semeraro:
An AI framework to support decisions on GDPR compliance. J. Intell. Inf. Syst. 61(2): 541-568 (2023) - [j65]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
Report on the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) at ACM RecSys 2023. SIGIR Forum 57(2): 17:1-17:6 (2023) - [c306]Pierluigi Cassotti, Lucia Siciliani, Marco de Gemmis, Giovanni Semeraro, Pierpaolo Basile:
XL-LEXEME: WiC Pretrained Model for Cross-Lingual LEXical sEMantic changE. ACL (2) 2023: 1577-1585 - [c305]Pierpaolo Basile, Pierluigi Cassotti, Marco Polignano, Lucia Siciliani, Giovanni Semeraro:
On the Impact of Language Adaptation for Large Language Models: A Case Study for the Italian Language Using Only Open Resources. CLiC-it 2023 - [c304]Pierluigi Amodio, Lucia Siciliani, Linda Antonella Antonucci, Cristiano Tamborrino, Pierpaolo Basile, Paolo Taurisano, Marco de Gemmis, Felice Iavernaro, Pasquale Lops, Francesca Mazzia, Cataldo Musto, Marco Polignano, Giovanni Semeraro:
Human Understanding Capabilities of Symbiotic AI systems in FAIR (Future Artificial Intelligence Research). Ital-IA 2023: 341-346 - [c303]Pasquale Lops, Elio Musacchio, Cataldo Musto, Marco Polignano, Antonio Silletti, Giovanni Semeraro:
Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures. RecSys 2023: 554-564 - [c302]Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro:
Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint. RecSys 2023: 856-862 - [c301]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'23). RecSys 2023: 1255-1258 - [c300]Giuseppe Spillo, Cataldo Musto, Marco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations. UMAP 2023: 1-12 - [c299]Cataldo Musto, Amra Delic, Oana Inel, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler:
5th Workshop on Explainable User Models and Personalised Systems (ExUM). UMAP (Adjunct Publication) 2023: 196-198 - [e35]Cataldo Musto, Riccardo Guidotti, Anna Monreale, Erasmo Purificato, Giovanni Semeraro:
Proceedings of the 4th Italian Workshop on Explainable Artificial Intelligence co-located with 22nd International Conference of the Italian Association for Artificial Intelligence(AIxIA 2023), Roma, Italy, November 8, 2023. CEUR Workshop Proceedings 3518, CEUR-WS.org 2023 [contents] - [e34]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), Hybrid Event, Singapore, September 18, 2023. CEUR Workshop Proceedings 3534, CEUR-WS.org 2023 [contents] - [i2]Pierpaolo Basile, Elio Musacchio, Marco Polignano, Lucia Siciliani, Giuseppe Fiameni, Giovanni Semeraro:
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language. CoRR abs/2312.09993 (2023) - 2022
- [j64]Marco Polignano, Giovanni Semeraro:
Special Issue on Information Retrieval, Recommender Systems and Adaptive Systems. Inf. 13(10): 457 (2022) - [j63]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) - [j62]Lucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro:
MQALD: Evaluating the impact of modifiers in question answering over knowledge graphs. Semantic Web 13(2): 215-231 (2022) - [c298]Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Exploiting Neuro-Symbolic Graph Embeddings based on First-Order Logical Rules for Knowledge-aware Recommendations. DP@AI*IA 2022: 1-11 - [c297]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 - [c296]Pasquale Lops, Marco Di Ciano, Nicola Lopane, Lucia Siciliani, Vincenzo Taccardi, Eleonora Ghizzota, Giovanni Semeraro:
AI-based Decision Support Systems for the Management of E-rocurement Procedures. IIR 2022 - [c295]Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules. RecSys 2022: 616-621 - [c294]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22). RecSys 2022: 667-670 - [c293]Toine Bogers, Cataldo Musto, David (Xuejun) Wang, Alexander Felfernig, Simone Borg Bruun, Giovanni Semeraro, Yong Zheng:
FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. RecSys 2022: 688-690 - [c292]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 - [c291]Cataldo Musto, Amra Delic, Oana Inel, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler:
Workshop on Explainable User Models and Personalised Systems (ExUM). UMAP (Adjunct Publication) 2022: 160-162 - [c290]Marco Polignano, Giuseppe Colavito, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro:
Lexicon Enriched Hybrid Hate Speech Detection with Human-Centered Explanations. UMAP (Adjunct Publication) 2022: 184-191 - [e33]Cataldo Musto, Riccardo Guidotti, Anna Monreale, Giovanni Semeraro:
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28 - December 3, 2022. CEUR Workshop Proceedings 3277, CEUR-WS.org 2022 [contents] - [e32]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Hybrid Event, Seattle, US, September 22, 2022. CEUR Workshop Proceedings 3222, CEUR-WS.org 2022 [contents] - [r3]Cataldo Musto, Marco de Gemmis, Pasquale Lops, Fedelucio Narducci, Giovanni Semeraro:
Semantics and Content-Based Recommendations. Recommender Systems Handbook 2022: 251-298 - 2021
- [j61]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) - [j60]Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Context-aware graph-based recommendations exploiting Personalized PageRank. Knowl. Based Syst. 216: 106806 (2021) - [j59]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) - [j58]Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Generating post hoc review-based natural language justifications for recommender systems. User Model. User Adapt. Interact. 31(3): 629-673 (2021) - [c289]Cataldo Musto, Pasquale Lops, Giovanni Semeraro:
Fairness and Popularity Bias in Recommender Systems: an Empirical Evaluation. DP@AI*IA 2021: 77-91 - [c288]Marco Polignano, Marco de Gemmis, Giovanni Semeraro:
Comparing Transformer-based NER approaches for analysing textual medical diagnoses. CLEF (Working Notes) 2021: 818-833 - [c287]Pierluigi Cassotti, Andrea Iovine, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Emerging Trends in Gender-Specific Occupational Titles in Italian Newspapers. CLiC-it 2021 - [c286]Lucia Siciliani, Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Extracting Relations from Italian Wikipedia using Self-Training. CLiC-it 2021 - [c285]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
An Investigation on the Impact of Natural Language on Conversational Recommendations. IIR 2021 - [c284]Paolo Pastore, Andrea Iovine, Fedelucio Narducci, Giovanni Semeraro:
A General Aspect-Term-Extraction Model for Multi-Criteria Recommendations (Long paper). KaRS/ComplexRec@RecSys 2021 - [c283]Marco Polignano, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations. RecSys 2021: 187-198 - [c282]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen:
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21). RecSys 2021: 783-786 - [c281]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 - [c280]Cataldo Musto, Alain D. Starke, Christoph Trattner, Amon Rapp, Giovanni Semeraro:
Exploring the Effects of Natural Language Justifications in Food Recommender Systems. UMAP 2021: 147-157 - [c279]Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
Workshop on Explainable User Models and Personalized Systems (ExUM 2021). UMAP (Adjunct Publication) 2021: 211-212 - [e31]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Online Event, September 25 and September 29, 2021. CEUR Workshop Proceedings 2948, CEUR-WS.org 2021 [contents] - [d4]Lucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro:
MQALD. Version 4.0. Zenodo, 2021 [all versions] - 2020
- [j57]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) - [j56]Federica Cena, Amon Rapp, Cataldo Musto, Giovanni Semeraro:
Generating Recommendations From Multiple Data Sources: A Methodological Framework for System Design and Its Application. IEEE Access 8: 183430-183447 (2020) - [j55]Vittorio Lingiardi, Nicola Carone, Giovanni Semeraro, Cataldo Musto, Marilisa D'amico, Silvia Brena:
Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis. Behav. Inf. Technol. 39(7): 711-721 (2020) - [j54]Andrea Iovine, Fedelucio Narducci, Giovanni Semeraro:
Conversational Recommender Systems and natural language: : A study through the ConveRSE framework. Decis. Support Syst. 131: 113250 (2020) - [j53]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) - [j52]Cataldo Musto, Marco Polignano, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
Myrror: a platform for holistic user modeling. User Model. User Adapt. Interact. 30(3): 477-511 (2020) - [c278]Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
A Comparative Study of Approaches for the Diachronic Analysis of the Italian Language. NL4AI@AI*IA 2020: 130-140 - [c277]Berardina Nadja De Carolis, Pasquale Lops, Cataldo Musto, Giovanni Semeraro:
Towards a Social Robot as Interface for Tourism Recommendations. cAESAR 2020: 28-33 - [c276]Marco Polignano, Vincenzo Suriano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
A study of Machine Learning models for Clinical Coding of Medical Reports at CodiEsp 2020. CLEF (Working Notes) 2020 - [c275]Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Analysis of Lexical Semantic Changes in Corpora with the Diachronic Engine. CLiC-it 2020 - [c274]Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task. CLiC-it 2020 - [c273]Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. CLiC-it 2020 - [c272]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
Humanoid Robots and Conversational Recommender Systems: a Preliminary Study. EAIS 2020: 1-7 - [c271]Marco Giuseppe de Pinto, Marco Polignano, Pasquale Lops, Giovanni Semeraro:
Emotions Understanding Model from Spoken Language using Deep Neural Networks and Mel-Frequency Cepstral Coefficients. EAIS 2020: 1-5 - [c270]Marco Polignano, Marco de Gemmis, Giovanni Semeraro:
Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of Performances. ICCSA (4) 2020: 135-149 - [c269]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 - [c268]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 - [c267]Cataldo Musto, Giuseppe Spillo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. IntRS@RecSys 2020: 65-71 - [c266]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
Interfaces and Human Decision Making for Recommender Systems. RecSys 2020: 613-618 - [c265]Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization. UMAP (Adjunct Publication) 2020: 204-205 - [c264]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 - [c263]Cataldo Musto, Christoph Trattner, Alain Starke, Giovanni Semeraro:
Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models. UMAP 2020: 333-337 - [c262]Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
Workshop on Explainable User Models and Personalized Systems (ExUM 2020). UMAP 2020: 406-407 - [e30]Cataldo Musto, Daniele Magazzeni, Salvatore Ruggieri, Giovanni Semeraro:
Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence, XAI.it@AIxIA 2020, Online Event, November 25-26, 2020. CEUR Workshop Proceedings 2742, CEUR-WS.org 2020 [contents] - [e29]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Online Event, September 26, 2020. CEUR Workshop Proceedings 2682, CEUR-WS.org 2020 [contents] - [d3]Lucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro:
MQALD. Version 1.0. Zenodo, 2020 [all versions] - [d2]Lucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro:
MQALD. Version 2.0. Zenodo, 2020 [all versions] - [d1]Lucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro:
MQALD. Version 3.0. Zenodo, 2020 [all versions]
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 - [j51]Gaetano Rossiello, Annalina Caputo, Pierpaolo Basile, Giovanni Semeraro:
Modeling concepts and their relationships for corpus-based query auto-completion. Open Comput. Sci. 9(1): 212-225 (2019) - [j50]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) - [j49]Pierpaolo Basile, Claudio Greco, Alessandro Suglia, Giovanni Semeraro:
Bridging the gap between linked open data-based recommender systems and distributed representations. Inf. Syst. 86: 1-8 (2019) - [c261]Cataldo Musto, Gaetano Rossiello, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Natural Language Justifications for Recommender Systems Exploiting Text Summarization and Sentiment Analysis. DDC@AI*IA 2019: 63-73 - [c260]Cataldo Musto, Pierpaolo Basile, Giovanni Semeraro:
Hybrid Semantics-Aware Recommendations Exploiting Knowledge Graph Embeddings. AI*IA 2019: 87-100 - [c259]Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Hate Speech Detection through AlBERTo Italian Language Understanding Model. NL4AI@AI*IA 2019 - [c258]Marco Polignano, Marco Giuseppe de Pinto, Pasquale Lops, Giovanni Semeraro:
Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated Contents. CLEF (Working Notes) 2019 - [c257]Pierpaolo Basile, Giovanni Semeraro, Annalina Caputo:
Kronos-it: a Dataset for the Italian Semantic Change Detection Task. CLiC-it 2019 - [c256]Arthur T. E. Capozzi, Mirko Lai, Valerio Basile, Cataldo Musto, Marco Polignano, Fabio Poletto, Manuela Sanguinetti, Cristina Bosco, Viviana Patti, Giancarlo Ruffo, Giovanni Semeraro, Marco Stranisci:
Computational Linguistics Against Hate: Hate Speech Detection and Visualization on Social Media in the "Contro L'Odio" Project. CLiC-it 2019 - [c255]Cataldo Musto, Angelo Sansonetti, Marco Polignano, Giovanni Semeraro, Marco Stranisci:
HateChecker: a Tool to Automatically Detect Hater Users in Online Social Networks. CLiC-it 2019 - [c254]Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro, Valerio Basile:
AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on Tweets. CLiC-it 2019 - [c253]Lucia Siciliani, Pierpaolo Basile, Giovanni Semeraro, Matteo Mennitti:
An Italian Question Answering System for Structured Data based on Controlled Natural Languages. CLiC-it 2019 - [c252]Gaetano Rossiello, Alfio Gliozzo, Nicolas R. Fauceglia, Giovanni Semeraro:
Latent Relational Model for Relation Extraction. ESWC 2019: 283-297 - [c251]Pierpaolo Basile, Annalina Caputo, Séamus Lawless, Giovanni Semeraro:
Diachronic Analysis of Entities by Exploiting Wikipedia Page revisions. RANLP 2019: 84-91 - [c250]Cataldo Musto, Gaetano Rossiello, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations. RecSys 2019: 383-387 - [c249]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
RecSys '19 joint workshop on interfaces and human decision making for recommender systems. RecSys 2019: 560-561 - [c248]Marco Polignano, Marco de Gemmis, Giovanni Semeraro:
SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks. SemEval@NAACL-HLT 2019: 324-329 - [c247]