The D4.2 is the software that conforms the first prototype of the Decision Support System. As the DSS is merely designed and implemented in form of a Software as a Service platform, and it does not have any graphical user interface, this document is intended to report a description of the DSS first prototype main features with a particular focus on the architecture, functionalities and technical implementation. Therefore, the aim of this document is to provide a picture of the actual development of the DSS starting from the scientific background from which it is grounded and going through the different elements that form the DSS. The DSS main objective is to help users in selecting coaching plans by proposing personalised recommendations based on users' behaviours and preferences. Recognising such behaviours and their evolution over time is therefore a crucial element for tailoring the interaction of the system with the user. A three-layer system composed of pathways, coaching activity plans, and coaching events, constitutes the so-called coaching timeline on which the analysis is grounded. Various techniques are used to model and personalise the recommendations and feedback. Firstly, the indicators are extracted from disparate data sources, then these are modelled through a profiling system and, finally, recommendations on the pathways and coaching plans are performed through a tagging system. With the aim of developing and testing the models and workflow prior to the pilot starting date, two simulators are also being implemented and reported in this document.

Nestore - D4.2 - First prototype of the DSS

Palumbo F;Rizzo G
2019

Abstract

The D4.2 is the software that conforms the first prototype of the Decision Support System. As the DSS is merely designed and implemented in form of a Software as a Service platform, and it does not have any graphical user interface, this document is intended to report a description of the DSS first prototype main features with a particular focus on the architecture, functionalities and technical implementation. Therefore, the aim of this document is to provide a picture of the actual development of the DSS starting from the scientific background from which it is grounded and going through the different elements that form the DSS. The DSS main objective is to help users in selecting coaching plans by proposing personalised recommendations based on users' behaviours and preferences. Recognising such behaviours and their evolution over time is therefore a crucial element for tailoring the interaction of the system with the user. A three-layer system composed of pathways, coaching activity plans, and coaching events, constitutes the so-called coaching timeline on which the analysis is grounded. Various techniques are used to model and personalise the recommendations and feedback. Firstly, the indicators are extracted from disparate data sources, then these are modelled through a profiling system and, finally, recommendations on the pathways and coaching plans are performed through a tagging system. With the aim of developing and testing the models and workflow prior to the pilot starting date, two simulators are also being implemented and reported in this document.
2019
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Istituto di Tecnologie Biomediche - ITB
Rapporto intermedio di progetto
Decision Support System
Architecture
Functionalities
Data Processing
Data Sources
Scoring System
Tagging System
Scheduler
Pathway
Coaching Activity Plan
Coaching Event
API Services
Data Simulators
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/368560
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