Ludovico Boratto
Ludovico Boratto
Research Scientist - Data Science and Big Data Analytics, Eurecat
Email verificata su acm.org - Home page
Titolo
Citata da
Citata da
Anno
State-of-the-art in group recommendation and new approaches for automatic identification of groups
L Boratto, S Carta
Information retrieval and mining in distributed environments, 1-20, 2010
1522010
Group recommendation with automatic identification of users communities
L Boratto, S Carta, A Chessa, M Agelli, ML Clemente
2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2009
662009
Group recommender systems: An introduction
A Felfernig, L Boratto, M Stettinger, M Tkalčič
Springer International Publishing, 2018
392018
A multi-biometric system for continuous student authentication in e-learning platforms
G Fenu, M Marras, L Boratto
Pattern Recognition Letters 113, 83-92, 2018
352018
Groups Identification and Individual Recommendations in Group Recommendation Algorithms.
L Boratto, S Carta, M Satta
PRSAT@ recsys, 27-34, 2010
312010
Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering
L Boratto, S Carta, G Fenu
Future Generation Computer Systems 64, 165-174, 2016
272016
Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System
L Boratto, S Carta
Proceedings of the 16th International Conference on Enterprise Information …, 2014
272014
Semantics-aware content-based recommender systems: Design and architecture guidelines
L Boratto, S Carta, G Fenu, R Saia
Neurocomputing 254, 79-85, 2017
252017
Using neural word embeddings to model user behavior and detect user segments
L Boratto, S Carta, G Fenu, R Saia
Knowledge-based systems 108, 5-14, 2016
242016
Modeling the preferences of a group of users detected by clustering: A group recommendation case-study
L Boratto, S Carta
Proceedings of the 4th International Conference on Web Intelligence, Mining …, 2014
242014
The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation
L Boratto, S Carta
Journal of Intelligent Information Systems 45 (2), 221-245, 2015
232015
An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes
L Boratto, S Carta, F Mulas, P Pilloni
Personal and Ubiquitous Computing 21 (4), 689-704, 2017
192017
Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system
M Manca, L Boratto, S Carta
Information Systems Frontiers 20 (4), 825-839, 2018
182018
Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study
M Manca, L Boratto, VM Roman, OM i Gallissà, A Kaltenbrunner
Online Social Networks and Media 1, 56-69, 2017
182017
Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios
L Boratto, S Carta, G Fenu
Information Sciences 378, 424-443, 2017
152017
Semantic Coherence-based User Profile Modeling in the Recommender Systems Context
R Saia, L Boratto, S Carta
Proceedings of the 6th International Conference on Knowledge Discovery and …, 2014
152014
A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system
R Saia, L Boratto, S Carta
Journal of Intelligent Information Systems 47 (1), 111-134, 2016
142016
Mining User Behavior in a Social Bookmarking System: a Delicious Friend Recommender System
M Manca, L Boratto, S Carta
Proceedings of 3rd International Conference on Data Management Technologies …, 2014
14*2014
Art: Group recommendation approaches for automatically detected groups
L Boratto, S Carta
International Journal of Machine Learning and Cybernetics 6 (6), 953-980, 2015
132015
Design and architecture of a friend recommender system in the social bookmarking domain
M Manca, L Boratto, S Carta
2014 Science and Information Conference, 838-842, 2014
122014
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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