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TripBuilder: A Tool for Recommending Sightseeing Tours

  • Conference paper
Advances in Information Retrieval (ECIR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8416))

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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.

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References

  1. Brilhante, I., Macedo, J.A., Nardini, F.M., Perego, R., Renso, C.: Where shall we go today? planning touristic tours with tripbuilder. In: Proc. CIKM. ACM (2013)

    Google Scholar 

  2. Cohen, R., Katzir, L.: The generalized maximum coverage problem. Information Processing Letters 108(1), 15–22 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  3. De Choudhury, M., Feldman, M., Amer-Yahia, S., Golbandi, N., Lempel, R., Yu, C.: Automatic construction of travel itineraries using social breadcrumbs. In: Proc. HT, pp. 35–44. ACM (2010)

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  4. Vansteenwegen, P., Souffriau, W., Berghe, G., Oudheusden, D.: The city trip planner: an expert system for tourists. Expert Systems with Applications 38(6), 6540–6546 (2011)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. ISTI-CNR, Pisa, Italy

    Franco Maria Nardini, Raffaele Perego & Chiara Renso

  2. Federal University of Ceará, Fortaleza, Brasil

    Igo Brilhante & Jose Antonio Macedo

Authors
  1. Igo Brilhante
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  2. Jose Antonio Macedo
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  3. Franco Maria Nardini
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  4. Raffaele Perego
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  5. Chiara Renso
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Editor information

Editors and Affiliations

  1. University of Amsterdam, Amsterdam, The Netherlands

    Maarten de Rijke  & Tom Kenter  & 

  2. Centrum Wiskunde en Informatica, Amsterdam, The Netherlands and Delft University of Technology, Delft, The Netherlands

    Arjen P. de Vries

  3. University of Illinois at Urbana-Champaign, Urbana, IL, USA

    ChengXiang Zhai

  4. University of Twente, Twente, The Netheralnds and Erasmus University Rotterdam, Rotterdam, The Netherlands

    Franciska de Jong

  5. SalesPredict, Haifa, Israel

    Kira Radinsky

  6. Microsoft Research, Cambridge, UK

    Katja Hofmann

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Brilhante, I., Macedo, J.A., Nardini, F.M., Perego, R., Renso, C. (2014). TripBuilder: A Tool for Recommending Sightseeing Tours. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_93

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  • DOI: https://doi.org/10.1007/978-3-319-06028-6_93

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06027-9

  • Online ISBN: 978-3-319-06028-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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