Giovanni Semeraro
Giovanni Semeraro
Other namesG. Semeraro
Computer Science, head of the SWAP 'Antonio Bello' research group, University of Bari Aldo Moro
Verified email at - Homepage
Cited by
Cited by
Content-based recommender systems: State of the art and trends
P Lops, M De Gemmis, G Semeraro
Recommender Systems Handbook, 73-105, 2011
A comparative analysis of methods for pruning decision trees
F Esposito, D Malerba, G Semeraro
IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (5), 476-491, 1997
Semantics-aware content-based recommender systems
M de Gemmis, P Lops, C Musto, F Narducci, G Semeraro
Recommender Systems Handbook, 2nd edition, 119-159, 2015
A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation
M Degemmis, P Lops, G Semeraro
User Modeling and User-Adapted Interaction 17, 217-255, 2007
Introducing serendipity in a content-based recommender system
L Iaquinta, M de Gemmis, P Lops, G Semeraro, M Filannino, P Molino
Hybrid Intelligent Systems, 2008. HIS'08. Eighth International Conference on …, 2008
Integrating tags in a semantic content-based recommender
M de Gemmis, P Lops, G Semeraro, P Basile
Proceedings of the 2008 ACM conference on Recommender systems, 163-170, 2008
AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on Tweets.
M Polignano, P Basile, M de Gemmis, G Semeraro, V Basile
CLiC-it, 2019
An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model
P Basile, A Caputo, G Semeraro
COLING 2014, 25th International Conference on Computational Linguistics …, 2014
A comparison of Lexicon-based approaches for Sentiment Analysis of microblog posts
C Musto, G Semeraro, M Polignano
DART 2014: Information Filtering and Retrieval, 59-68, 2014
Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems
C Musto, G Semeraro, M de Gemmis, P Lops
Advances in Information Retrieval, Proceedings of ECIR 2016, 729-734, 2016
An investigation on the serendipity problem in recommender systems
M De Gemmis, P Lops, G Semeraro, C Musto
Information Processing & Management 51 (5), 695-717, 2015
Multistrategy learning for document recognition
F Esposito, D Malerba, G Semeraro
Applied Artificial Intelligence: an International Journal 8 (1), 33-84, 1994
Centroid-based text summarization through compositionality of word embeddings
G Rossiello, P Basile, G Semeraro
Proceedings of the multiling 2017 workshop on summarization and summary …, 2017
Multistrategy Theory Revision: Induction and Abduction in INTHELEX
F Esposito, G Semeraro, N Fanizzi, S Ferilli
Machine Learning 38 (1-2), 133-156, 2000
Preference learning in recommender systems
M de Gemmis, L Iaquinta, P Lops, C Musto, F Narducci, G Semeraro
Human decision making and recommender systems
L Chen, M De Gemmis, A Felfernig, P Lops, F Ricci, G Semeraro
ACM Transactions on Interactive Intelligent Systems (TiiS) 3 (3), 1-7, 2013
Combining learning and word sense disambiguation for intelligent user profiling
G Semeraro, M Degemmis, P Lops, P Basile
IJCAI - Proceedings of the 20th International Joint Conference on Artifical …, 2007
Ontologically-enriched unified user modeling for cross-system personalization
B Mehta, C Niederee, A Stewart, M Degemmis, P Lops, G Semeraro
User Modeling 2005, 151-156, 2005
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, G Scafuro
Pattern Recognition, 1990. Proceedings, 10th International Conference on, 1 …, 1990
Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation
F Esposito, D Malerba, G Semeraro, S Ferilli, O Altamura, TMA Basile, ...
First International Workshop on Document Image Analysis for Libraries, 2004 …, 2004
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