Giovanni Semeraro

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 162

Top Venues

UMAP (Adjunct Publication)

RecSys

UMAP

CLiC-it

Publications

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) (2024)
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)
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) (2024)
Cataldo Musto, Giuseppe Spillo, Giovanni Semeraro
Harnessing distributional semantics to build context-aware justifications for recommender systems. User Model. User Adapt. Interact. 34 (3) (2024)
Gaetano Dibenedetto, Marco Polignano, Pasquale Lops, Giovanni Semeraro
Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces. UMAP (Adjunct Publication) (2024)
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)
Marco Polignano, Pierpaolo Basile, Giovanni Semeraro
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA. CoRR (2024)
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)
Pierpaolo Basile, Elio Musacchio, Marco Polignano, Lucia Siciliani, Giuseppe Fiameni, Giovanni Semeraro
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language. CoRR (2023)
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)
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)
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) (2023)
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)
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)
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 (2023)
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)
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)
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 (2023)
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)
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)
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) (2023)
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) (2023)
Marco Polignano, Giovanni Semeraro
Special Issue on Information Retrieval, Recommender Systems and Adaptive Systems. Inf. 13 (10) (2022)
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)
Lucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro
MQALD: Evaluating the impact of modifiers in question answering over knowledge graphs. Semantic Web 13 (2) (2022)
Toine Bogers, Cataldo Musto, David Wang, Alexander Felfernig, Simone Borg Bruun, Giovanni Semeraro, Yong Zheng
FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. RecSys (2022)
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)
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)
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)
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) (2022)
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)
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)
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)
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)
Marco Polignano, Marco de Gemmis, Giovanni Semeraro
Comparing Transformer-based NER approaches for analysing textual medical diagnoses. CLEF (Working Notes) (2021)
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) (2021)
Cataldo Musto, Alain D. Starke, Christoph Trattner, Amon Rapp, Giovanni Semeraro
Exploring the Effects of Natural Language Justifications in Food Recommender Systems. UMAP (2021)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Context-aware graph-based recommendations exploiting Personalized PageRank. Knowl. Based Syst. 216 (2021)
Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
An Investigation on the Impact of Natural Language on Conversational Recommendations. IIR (2021)
Pierluigi Cassotti, Andrea Iovine, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
Emerging Trends in Gender-Specific Occupational Titles in Italian Newspapers. CLiC-it (2021)
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 (2021)
Paolo Pastore, Andrea Iovine, Fedelucio Narducci, Giovanni Semeraro
A General Aspect-Term-Extraction Model for Multi-Criteria Recommendations (Long paper). KaRS/ComplexRec@RecSys (2021)
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)
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)
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) (2021)
Cataldo Musto, Pasquale Lops, Giovanni Semeraro
Fairness and Popularity Bias in Recommender Systems: an Empirical Evaluation. DP@AI*IA (2021)
Lucia Siciliani, Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Extracting Relations from Italian Wikipedia using Self-Training. CLiC-it (2021)
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)
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)
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)
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) (2020)
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
Workshop on Explainable User Models and Personalized Systems (ExUM 2020). UMAP (2020)
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)
Andrea Iovine, Fedelucio Narducci, Giovanni Semeraro
Conversational Recommender Systems and natural language: : A study through the ConveRSE framework. Decis. Support Syst. 131 (2020)
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)
Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
Analysis of Lexical Semantic Changes in Corpora with the Diachronic Engine. CLiC-it (2020)
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)
Berardina Nadja De Carolis, Pasquale Lops, Cataldo Musto, Giovanni Semeraro
Towards a Social Robot as Interface for Tourism Recommendations. cAESAR (2020)
Marco Polignano, Marco de Gemmis, Giovanni Semeraro
Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of Performances. ICCSA (4) (2020)
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)
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)
Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
Humanoid Robots and Conversational Recommender Systems: a Preliminary Study. EAIS (2020)
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)
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 (2020)
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) (2020)
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 (2020)
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)
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)
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)
Cataldo Musto, Christoph Trattner, Alain Starke, Giovanni Semeraro
Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models. UMAP (2020)
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) (2020)
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)
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)
Pierpaolo Basile, Annalina Caputo, Séamus Lawless, Giovanni Semeraro
Diachronic Analysis of Entities by Exploiting Wikipedia Page revisions. RANLP (2019)
Pierpaolo Basile, Claudio Greco, Alessandro Suglia, Giovanni Semeraro
Bridging the gap between linked open data-based recommender systems and distributed representations. Inf. Syst. 86 (2019)
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 (2019)
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)
Cataldo Musto, Amon Rapp, Federica Cena, Frank Hopfgartner, Judy Kay, Aonghus Lawlor, Pasquale Lops, Giovanni Semeraro, Nava Tintarev
UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization. UMAP (Adjunct Publication) (2019)
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)
Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation. UMAP (Adjunct Publication) (2019)
Lucia Siciliani, Pierpaolo Basile, Giovanni Semeraro, Matteo Mennitti
An Italian Question Answering System for Structured Data based on Controlled Natural Languages. CLiC-it (2019)
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)
Gaetano Rossiello, Annalina Caputo, Pierpaolo Basile, Giovanni Semeraro
Modeling concepts and their relationships for corpus-based query auto-completion. Open Comput. Sci. 9 (1) (2019)
Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
Hate Speech Detection through AlBERTo Italian Language Understanding Model. NL4AI@AI*IA (2019)
Cataldo Musto, Pierpaolo Basile, Giovanni Semeraro
Hybrid Semantics-Aware Recommendations Exploiting Knowledge Graph Embeddings. AI*IA (2019)
Gaetano Rossiello, Alfio Gliozzo, Nicolas R. Fauceglia, Giovanni Semeraro
Latent Relational Model for Relation Extraction. ESWC (2019)
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)
Pierpaolo Basile, Giovanni Semeraro, Annalina Caputo
Kronos-it: a Dataset for the Italian Semantic Change Detection Task. CLiC-it (2019)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews. UMAP (2019)
Cataldo Musto, Pierpaolo Basile, Giovanni Semeraro
Embedding Knowledge Graphs for Semantics-aware Recommendations based on DBpedia. UMAP (Adjunct Publication) (2019)
Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention. UMAP (Adjunct Publication) (2019)
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)
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)
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)
Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
A Framework for Building Chat-based Recommender Systems. CIKM Workshops (2018)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
Recsys'18 joint workshop on interfaces and human decision making for recommender systems. RecSys (2018)
Cataldo Musto, Amon Rapp, Federica Cena, Frank Hopfgartner, Judy Kay, Giovanni Semeraro
UMAP 2018 HUM (Holistic User Modeling) Workshop Chairs' Preface &Organization. UMAP (Adjunct Publication) (2018)
Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Improving the User Experience with a Conversational Recommender System. AI*IA (2018)
Pierpaolo Basile, Claudio Greco, Alessandro Suglia, Giovanni Semeraro
Deep Learning and Hierarchical Reinforcement Learning for modeling a Conversational Recommender System. Intelligenza Artificiale 12 (2) (2018)
Cataldo Musto, Tiziano Franza, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data. UMAP (Adjunct Publication) (2018)

Giovanni Semeraro.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Giovanni Semeraro