Giovanni Semeraro
Giovanni Semeraro
Otros nombresG. Semeraro
Computer Science, head of the SWAP 'Antonio Bello' research group, University of Bari Aldo Moro
Dirección de correo verificada de - Página principal
Citado por
Citado por
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 (3), 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
Multistrategy learning for document recognition
F Esposito, D Malerba, G Semeraro
Applied Artificial Intelligence: an International Journal 8 (1), 33-84, 1994
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
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
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
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
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20