Abstract

One of the most interesting current challenges in the e-tourism field is to offer services that are able to suggest attractions or event itineraries that fit tourist’s needs and preferences. In this scenario, we defined a method for generating itineraries of intangible cultural heritage events (processions, special markets, festivals, and so on) based on a theoretical model and the transitive closure computation. The method was, then, implemented, in a knowledge-based recommender system prototype, named T-Path, which is able to suggest event itineraries in Apulia region (in southern Italy). In this paper we propose an approach to identify the itineraries that best fit the tourist/user preferences. At this aim, first of all the type of each itinerary is discovered, and then the itineraries are ordered on the basis of their adequacy to the tourist preferences.

Autore Pugliese

• Tangorra Filippo , Roselli Teresa , Rossano Veronica

Tutti gli autori

• TANGORRA F.;DI TRIA F.;ROSELLI T.;ROSSANO V.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2011

ISSN

1941-5842

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

Non Disponibile

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile