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Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

Torna all'elenco Report e working Paper anno 2019

Report e working Paper

Tipo: Rapporto di progetto (Project report)

Titolo: Nestore - D4.3 - Plans and recommendations based on profiles

Anno di pubblicazione: 2019

Formato: Elettronico

Tipologia di rapporto di progetto: Rapporto intermedio di progetto

Autori: Orte S.; Subías P.; Fernández L.; Palumbo F.; Girolami M.; Sykora M.

Affiliazioni autori: Eurecat, Barcelona, Spain; Eurecat, Barcelona, Spain; FSiE, Barcelona, Spain; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; Loughborough University, Loughborough, UK

Autori CNR:


Lingua: inglese

Sintesi: This document represents the deliverable D4.3 (Plans and recommendations based on profiles) of WP4 (NESTORE Decision Support System) and contains a description of the research carried out in the context of task 4.3 "Algorithms for modelling and profiling individuals". In order to preserve the Intellectual Property generated in this task, we have split the D4.3. in two parts: a public and a private document. We encourage the reader to ask for the private version of D4.3. to get the complete understanding of the development carried out in D4.3.; this public version only outlines what has been done. The purpose of this report is to: - characterize NESTORE users through Personas to create end-users' models; - explain the scope of user profiling implementation in the DSS; - demonstrate its functionality with examples; - present the methodology followed; - describe the personalization through recommendations; - explain users' models; - present the objectives and implementation details of a profiler simulator. In chapter 1, we introduce the Decision Support System and its main components with the aim of presenting the user profiling as the main element of personalization. In chapter 2, the user profiling process that has been carried out is listed. In chapter 3, we describe why and how Personas are designed going through all domains of NESTORE interest, and we present the approach we followed to integrate this concept in the profiling system. Chapter 4 introduces and explains the tagging system, which is the core of the recommendation system. In chapter 5, we introduce the recommendations proposed by domain experts and depict their integration into the system. Finally, chapter 6 describes how users are modelled and simulated.

Lingua sintesi: eng

Pagine totali: 36

Parole chiave:

  • User profiling
  • Decision Support System
  • Older Adults
  • Personalization
  • Attributes
  • Personas
  • Recommendations.

Strutture CNR:

Allegati: D4.3 - Plans and recommendations based on profiles (application/pdf)

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