Semantic recommender system for touristic context based on linked data

Luis Cabrera Rivera, Luis M. Vilches-Blázquez, Miguel Torres-Ruiz, Marco Antonio Moreno Ibarra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

The lack of personalization presented in touristic itineraries that are offered by travel agencies involve a little flexibility. Basically, they are designed with the points of interest (POIs) that have more relevance in the area. On the other hand, there are POIs that have agreements with the agencies, which originate a excluding POIs that could be interesting for the tourist. In this work, a method capable to use the user preferences, like POIs and activities that user wants to realize during their vacations is proposed. Moreover, some weighted features such as the max distance that user wants to walk between POIs, and opinions of other users, coming from the web 2.0 by means of social media are taken into account. As result, a personalized route, which is composed of recommended POIs for the user and satisfied the user profile is provided.

Original languageEnglish
Title of host publicationInformation Fusion and Geographic Information Systems (IFandGIS 2015) - 7th International Workshop on Information Fusion and GeographicInformation Systems
Subtitle of host publicationDeep Virtualization for Mobile GIS, IFandGIS 2015
EditorsVasily Popovich, Kyrill Korolenko, Jerome Gensel, Christophe Claramunt, Manfred Schrenk
PublisherKluwer Academic Publishers
Pages77-89
Number of pages13
ISBN (Print)9783319166667
DOIs
StatePublished - 2015
Event7th International Workshop on Information Fusion and Geographic Information Systems: Deep Virtualization for Mobile GIS, IFandGIS 2015 - Grenoble, France
Duration: 18 May 201520 May 2015

Publication series

NameLecture Notes in Geoinformation and Cartography
Volume216
ISSN (Print)1863-2351

Conference

Conference7th International Workshop on Information Fusion and Geographic Information Systems: Deep Virtualization for Mobile GIS, IFandGIS 2015
Country/TerritoryFrance
CityGrenoble
Period18/05/1520/05/15

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