Marco de Gemmis

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 96

Top Venues

RecSys

UMAP (Adjunct Publication)

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)
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)
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)
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)
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)
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)
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)
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)
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)
Giuseppina Andresini, Andrea Iovine, Roberto Gasbarro, Marco Lomolino, Marco de Gemmis, Annalisa Appice
Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features. itaDATA (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)
Pierluigi Cassotti, Lucia Siciliani, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops
Extracting Relations from Italian Wikipedia using Unsupervised Information Extraction. IIR (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)
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, 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)
Vasilis Kopsachilis, Lucia Siciliani, Marco Polignano, Polichronis Kolokoussis, Michail Vaitis, Marco de Gemmis, Konstantinos N. Topouzelis
Semantically-Aware Retrieval of Oceanographic Phenomena Annotated on Satellite Images. Inf. 12 (8) (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, 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)
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)
Dario Esposito, Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Davide Primiceri, Stefano Lisi, Mauro Casaburi, Giorgio Basile, Matteo Mennitti, Valentina Carella, Vito Manzari
DECiSION: Data-drivEn Customer Service InnovatiON. ICCSA (4) (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)
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)
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)
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, 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)
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)
Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
Hate Speech Detection through AlBERTo Italian Language Understanding Model. NL4AI@AI*IA (2019)
Andrea Iovine, Fedelucio Narducci, Marco de Gemmis
A Dataset of Real Dialogues for Conversational Recommender Systems. CLiC-it (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)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews. UMAP (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)
Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
A Framework for Building Chat-based Recommender Systems. CIKM Workshops (2018)
Marko Tkalcic, Marco de Gemmis
UMAP'18 Workshop &Tutorial Chairs' Welcome (overview) & Organization List. UMAP (Adjunct Publication) (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)
Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Improving the User Experience with a Conversational Recommender System. AI*IA (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)
Cataldo Musto, Giovanni Semeraro, Cosimo Lovascio, Marco de Gemmis, Pasquale Lops
Myrror: a Platform for Quantified Self and Holistic User Modeling. UMAP (Adjunct Publication) (2018)
Pierpaolo Basile, Marco de Gemmis, Lucia Siciliani, Giovanni Semeraro
Overview of the EVALITA 2018 Solving Language Games (NLP4FUN) Task. EVALITA@CLiC-it (2018)
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) (2018)
Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
An Emotion-driven Approach for Aspect-based Opinion Mining. IIR (2018)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based Features. WWW (Companion Volume) (2018)
Cataldo Musto, Giovanni Semeraro, Cosimo Lovascio, Marco de Gemmis, Pasquale Lops
A Framework for Holistic User Modeling Merging Heterogeneous Digital Footprints. UMAP (Adjunct Publication) (2018)
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)
Marco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro
User's Social Media Profile as Predictor of Empathy. UMAP (Adjunct Publication) (2017)
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)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen
RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. RecSys (2017)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features. Knowl. Based Syst. 136 (2017)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data. ESWC (1) (2017)
Berardina De Carolis, Marco de Gemmis, Pasquale Lops, Giuseppe Palestra
Recognizing users feedback from non-verbal communicative acts in conversational recommender systems. Pattern Recognit. Lett. 99 (2017)
Alessandro Suglia, Claudio Greco, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks. UMAP (2017)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Feeding a Hybrid Recommendation Framework with Linked Open Data and Graph-Based Features. AI*IA (2017)
Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops
A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews. RecSys (2017)
Marco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro
Learning Inclination to Empathy from Social Media Footprints. UMAP (2017)
Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Temporal Semantic Analysis of Conference Proceedings. ECIR (2017)
Marco Polignano, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro
Do You Feel Blue? Detection of Negative Feeling from Social Media. AI*IA (2017)
Cataldo Musto, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Introducing linked open data in graph-based recommender systems. Inf. Process. Manag. 53 (2) (2017)
Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Recommender Systems in the Internet of Talking Things (IoTT). RecSys Posters (2017)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features. UMAP (2017)
Marco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro
Empathic Inclination from Digital Footprints. IIR (2017)
Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Solving a Complex Language Game by Using Knowledge-Based Word Associations Discovery. IEEE Trans. Comput. Intell. AI Games 8 (1) (2016)
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)
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)
Cataldo Musto, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data. UMAP (2016)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience. UMAP (2016)
Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir
4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE). RecSys (2016)
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 (2016)
Annalina Caputo, Marco de Gemmis, Pasquale Lops, Francesco Lovecchio, Vito Manzari
Overview of the EVALITA 2016 Question Answering for Frequently Asked Questions (QA4FAQ) Task. CLiC-it/EVALITA (2016)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems. ECIR (2016)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation. RecSys Posters (2015)
Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir
EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems. RecSys (2015)
Fedelucio Narducci, Marco de Gemmis, Pasquale Lops
A General Architecture for an Emotion-aware Content-based Recommender System. EMPIRE@RecSys (2015)
Cataldo Musto, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Simone Rutigliano
Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems. CBRecSys@RecSys (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marco de Gemmis