2026 Giovanni Semeraro: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	48	6087	5913	139	137	457	11971

Overview

Giovanni Semeraro is affiliated with the University of Bari Aldo Moro in Italy, with a research focus primarily situated in the field of Computer Science. Their work encompasses several critical subfields, including Artificial Intelligence, Information Systems, Sociology and Political Science, Computer Vision and Pattern Recognition, and Communication.

The scientist's research topics predominantly cover recommender systems and techniques, which represent the largest segment of their work. Other principal areas include topic modeling, natural language processing techniques, AI in service interactions, advanced graph neural networks, speech and dialogue systems, and sentiment analysis and opinion mining.

Semeraro has contributed to various publication venues, publishing frequently in:

User Modeling and User-Adapted Interaction
Journal of Intelligent Information Systems
Zenodo (CERN European Organization for Nuclear Research)
Italian Journal of Computational Linguistics
arXiv (Cornell University)

Among notable recent papers authored or coauthored by Semeraro, the following works stand out:

"Conversational Recommender Systems and natural language:" (2020), Decision Support Systems
"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

The frequent coauthors collaborating with Semeraro include Marco de Gemmis, Pasquale Lops, Cataldo Musto, Pierpaolo Basile, and Marco Polignano. This indicates an established network within the research community, which supports work primarily around recommender systems and related fields.

Best Publications

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

Pasquale Lops;Marco de Gemmis;Giovanni Semeraro

2665
Citations
A comparative analysis of methods for pruning decision trees

F. Esposito;D. Malerba;G. Semeraro;J. Kay

825
Citations
Semantics-Aware Content-Based Recommender Systems

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

523
Citations
A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation

Marco Degemmis;Pasquale Lops;Giovanni Semeraro

255
Citations
Introducing Serendipity in a Content-Based Recommender System

L. Iaquinta;M. de Gemmis;P. Lops;G. Semeraro

247
Citations
Integrating tags in a semantic content-based recommender

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

206
Citations
A logic framework for the incremental inductive synthesis of Datalog theories

G. Semeraro;F. Esposito;D. Malerba;N. Fanizzi

166
Citations
An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model

Pierpaolo Basile;Annalina Caputo;Giovanni Semeraro

164
Citations
AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on Tweets.

M. Polignano;P. Basile;M. de Gemmis;G. Semeraro

155
Citations
An investigation on the serendipity problem in recommender systems

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

152
Citations
A Comparison of Lexicon-based Approaches for Sentiment Analysis of Microblog Posts.

Cataldo Musto;Giovanni Semeraro;Marco Polignano

150
Citations
Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems

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

139
Citations
Centroid-based Text Summarization through Compositionality of Word Embeddings

Gaetano Rossiello;Pierpaolo Basile;Giovanni Semeraro

139
Citations
Human Decision Making and Recommender Systems

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

130
Citations
MULTISTRATEGY LEARNING FOR DOCUMENT RECOGNITION

Floriana Esposito;Donato Malerba;Giovanni Semeraro

125
Citations
Multistrategy Theory Revision: Induction and Abductionin INTHELEX

Floriana Esposito;Giovanni Semeraro;Nicola Fanizzi;Stefano Ferilli

113
Citations
Ontologically-Enriched unified user modeling for cross-system personalization

Bhaskar Mehta;Claudia Niederee;Avare Stewart;Marco Degemmis

100
Citations
Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis

Vittorio Lingiardi;Nicola Carone;Giovanni Semeraro;Cataldo Musto

100
Citations
Combining learning and word sense disambiguation for intelligent user profiling

Giovanni Semeraro;Marco Degemmis;Pasquale Lops;Pierpaolo Basile

98
Citations
Personalized finance advisory through case-based recommender systems and diversification strategies

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

97
Citations
An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization

F. Esposito;D. Malerba;G. Semeraro;E. Annese

94
Citations
Human decision making and recommender systems

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

69
Citations

Frequent Co-Authors

Pasquale Lops University of Bari Aldo Moro

Marco de Gemmis University of Bari Aldo Moro

Floriana Esposito University of Bari Aldo Moro

Donato Malerba University of Bari Aldo Moro

Alexander Felfernig Graz University of Technology

Peter Brusilovsky University of Pittsburgh

Bettina Berendt KU Leuven

Dunja Mladenic Jožef Stefan Institute

Francesco Ricci Free University of Bozen-Bolzano

Andreas Hotho University of Würzburg

External Links

Personal website of Giovanni Semeraro Google Scholar page

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