World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
6707
World Ranking
11997
National Ranking
408

Overview

Marco de Gemmis is affiliated with the University of Bari Aldo Moro in Italy. Their research primarily focuses on the intersection of computer science and social sciences, with a specialized emphasis on artificial intelligence and information systems. The work extends into various subfields including communication, computer vision and pattern recognition, as well as computer networks and communications.

The scientist's academic portfolio is characterized by a significant volume of publications across multiple thematic areas. These topics include:

  • Topic Modeling
  • Recommender Systems and Techniques
  • Natural Language Processing Techniques
  • Speech and Dialogue Systems
  • Wikis in Education and Collaboration
  • AI in Service Interactions
  • Sentiment Analysis and Opinion Mining

Research outputs have appeared in a variety of publication venues. Frequent venues for their work include:

  • Journal of Intelligent Information Systems
  • User Modeling and User-Adapted Interaction
  • Zenodo (CERN European Organization for Nuclear Research)
  • Expert Systems with Applications
  • IEEE Access

Noteworthy recent papers by the researcher include:

  • Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors, 2020, Expert Systems with Applications
  • HealthAssistantBot: A Personal Health Assistant for the Italian Language, 2020, IEEE Access
  • Generating post hoc review-based natural language justifications for recommender systems, 2020, User Modeling and User-Adapted Interaction
  • Context-aware graph-based recommendations exploiting Personalized PageRank, 2021, Knowledge-Based Systems
  • An AI framework to support decisions on GDPR compliance, 2023, Journal of Intelligent Information Systems

The researcher collaborates frequently with a core group of co-authors, including:

  • Giovanni Semeraro (26 joint publications)
  • Pasquale Lops (17 joint publications)
  • Cataldo Musto (12 joint publications)
  • Pierpaolo Basile (12 joint publications)
  • Marco Polignano (10 joint publications)

Marco de Gemmis's work contributes to advancing techniques and applications in recommender systems, emotion-aware AI models, and decision support systems with relevant implications for GDPR compliance. Their interdisciplinary approach bridges computational methods with social and communication sciences, addressing both technical and human-centric aspects of information systems.

Best Publications

  • Content-based Recommender Systems: State of the Art and Trends

    Pasquale Lops;Marco de Gemmis;Giovanni Semeraro

  • Semantics-Aware Content-Based Recommender Systems

    Marco de Gemmis;Pasquale Lops;Cataldo Musto;Fedelucio Narducci

  • Integrating tags in a semantic content-based recommender

    Marco de Gemmis;Pasquale Lops;Giovanni Semeraro;Pierpaolo Basile

  • An investigation on the serendipity problem in recommender systems

    Marco de Gemmis;Pasquale Lops;Giovanni Semeraro;Cataldo Musto

  • Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems

    Cataldo Musto;Giovanni Semeraro;Marco de Gemmis;Pasquale Lops

  • Human Decision Making and Recommender Systems

    Li Chen;Marco de Gemmis;Alexander Felfernig;Pasquale Lops

  • Personalized finance advisory through case-based recommender systems and diversification strategies

    Cataldo Musto;Giovanni Semeraro;Pasquale Lops;Marco de Gemmis

  • A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews

    Cataldo Musto;Marco de Gemmis;Giovanni Semeraro;Pasquale Lops

  • ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud

    Cataldo Musto;Fedelucio Narducci;Pasquale Lops;Marco De Gemmis

  • Knowledge infusion into content-based recommender systems

    Giovanni Semeraro;Pasquale Lops;Pierpaolo Basile;Marco de Gemmis

  • Content-based and collaborative techniques for tag recommendation: an empirical evaluation

    Pasquale Lops;Marco De Gemmis;Giovanni Semeraro;Cataldo Musto

  • Introducing linked open data in graph-based recommender systems

    Cataldo Musto;Pierpaolo Basile;Pasquale Lops;Marco de Gemmis

  • Linked open data-based explanations for transparent recommender systems

    Cataldo Musto;Fedelucio Narducci;Pasquale Lops;Marco de Gemmis

  • Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors

    Marco Polignano;Fedelucio Narducci;Marco de Gemmis;Giovanni Semeraro

  • Word Embedding techniques for Content-based Recommender Systems: An empirical evaluation

    Cataldo Musto;Giovanni Semeraro;Marco de Gemmis;Pasquale Lops

  • Human decision making and recommender systems

    Anthony Jameson;MC Martijn Willemsen;Alexander Felfernig;Marco de Gemmis

  • A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention

    Marco Polignano;Pierpaolo Basile;Marco de Gemmis;Giovanni Semeraro

  • UNIBA: JIGSAW algorithm for Word Sense Disambiguation

    Pierpaolo Basile;Marco de Gemmis;Anna Lisa Gentile;Pasquale Lops

  • HealthAssistantBot: A Personal Health Assistant for the Italian Language

    Marco Polignano;Fedelucio Narducci;Andrea Iovine;Cataldo Musto

  • Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data

    Cataldo Musto;Pasquale Lops;Pierpaolo Basile;Marco de Gemmis

  • Learning Preference Models in Recommender Systems

    Marco de Gemmis;Leo Iaquinta;Pasquale Lops;Cataldo Musto

Frequent Co-Authors

Giovanni Semeraro
Giovanni Semeraro University of Bari Aldo Moro
Pasquale Lops
Pasquale Lops University of Bari Aldo Moro
Alexander Felfernig
Alexander Felfernig Graz University of Technology
Peter Brusilovsky
Peter Brusilovsky University of Pittsburgh
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Tommaso Di Noia
Tommaso Di Noia Polytechnic University of Bari
Thomas Lukasiewicz
Thomas Lukasiewicz University of Oxford
Li Chen
Li Chen Hong Kong Baptist University
Donato Malerba
Donato Malerba University of Bari Aldo Moro
Juan Barceló
Juan Barceló Autonomous University of Barcelona

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