TripBuilder: A tool for recommending sightseeing tours (Contributo in atti di convegno)

Type
Label
  • TripBuilder: A tool for recommending sightseeing tours (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-319-06028-6_93 (literal)
Alternative label
  • Brilhante I.; MacEdo J.A.; Nardini F.M.; Perego R.; Renso C. (2014)
    TripBuilder: A tool for recommending sightseeing tours
    in Advances in Information Retrieval. 36th European Conference on IR Research, Amsterdam, The Netherlands, 13-16 Apr 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Brilhante I.; MacEdo J.A.; Nardini F.M.; Perego R.; Renso C. (literal)
Pagina inizio
  • 771 (literal)
Pagina fine
  • 774 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84899930364&partnerID=q2rCbXpz (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 8416 LNCS (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 8416 LNCS (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 4 (literal)
Note
  • PuMa (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Federal University of Ceará, Fortaleza, Brazil; Federal University of Ceará, Fortaleza, Brazil; ISTI-CNR, Pisa, Italy; ISTI-CNR, Pisa, Italy; ISTI-CNR, Pisa, Italy (literal)
Titolo
  • TripBuilder: A tool for recommending sightseeing tours (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-319-06027-9 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Maarten de Rijke, Tom Kenter, Arjen P. de Vries, ChengXiang Zhai, Franciska de Jong, Kira Radinsky, Katja Hofmann (literal)
Abstract
  • We propose TripBuilder, an user-friendly and interactive system for planning a time-budgeted sightseeing tour of a city on the basis of the points of interest and the patterns of movements of tourists mined from user-contributed data. The knowledge needed to build the recommendation model is entirely extracted in an unsupervised way from two popular collaborative platforms: Wikipedia and Flickr. TripBuilder interacts with the user by means of a friendly Web interface that allows her to easily specify personal interests and time budget. The sightseeing tour proposed can be then explored and modified. We present the main components composing the system. © 2014 Springer International Publishing Switzerland. (literal)
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