ICCK

Giovannipaolo Ferrari

Department of Human, Philosophic and Education Sciences, University of Salerno, Fisciano 84084, Italy

Section 01

Academic Profile

Giovannipaolo Ferrari holds dual PhDs: one in Sociology and Social Research from the University of Salerno, Italy, and another in Applied Linguistics from the Université Paul Valéry Montpellier 3, France, where he was also conferred the title of Doctor Europaeus. Currently, he serves as an Assistant Professor at the Department of Human, Philosophical, and Educational Sciences (DISUFF) at the University of Salerno, where he teaches courses in sociology, including the sociology of sport and well-being, sociology of health, as well as research methods (both qualitative and quantitative), data analysis, and digital methods. In addition to his academic duties, Dr. Ferrari is the co-director of the DiSoSW Social Research Lab (Digital Society, Sport & Well-being Social Research Lab) at the University of Salerno. He also holds the position of Associate Researcher at CeRIES (Center for Research “Individuals, Experiences, Societies”) at the University of Lille, France. His extensive teaching experience includes roles at the Université Paul Valéry Montpellier in France and at institutions in China, such as Dalian University of Foreign Languages and the University of Nottingham’s Ningbo campus. He has also been a visiting scholar at Middlebury College in Vermont, USA. Dr. Ferrari’s research interests are centered on digital methods for social research, public sociology, and the sociology of sport and well-being.

Section 02

Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

Section 03

ICCK Publications

Free Access | Review Article | 15 October 2024 | Cited: Crossref logo  9 , Scopus 7
Recommender System: A Comprehensive Overview of Technical Challenges and Social Implications
ICCK Transactions on Sensing, Communication, and Control | Volume 1, Issue 1: 30-51, 2024 | DOI: 10.62762/TSCC.2024.898503
Abstract
The proliferation of Recommender Systems (RecSys), driven by their expanding deployment within Sensing-Communication-Control (SCC) architectures and explosive growth of multi-sensor data streams, has cultivated a dynamic research landscape at the intersection of artificial intelligence and cyber-physical systems. Embedded in SCC pipelines, RecSys transforms heterogeneous sensor-acquired data-spanning behavioral signals, physiological measurements, spatial context, and environmental conditions-into personalized control directives for smart homes, industrial IoT platforms, intelligent transportation systems, and precision healthcare environments. This paper comprehensively reviews RecSys fou... More >

Graphical Abstract
Recommender System: A Comprehensive Overview of Technical Challenges and Social Implications