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An Overall Framework for Personalised Landmark Selection

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Progress in Location Based Services 2018 (LBS 2018)

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

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Abstract

This paper proposes a multidimensional model for the selection of personalized landmarks. The model is based on an existing landmark salience model, which was designed to be open to adaptations regarding individual user preferences. The conventional model is based solely on landmark dimensions (i.e. visual, semantic and structural dimension). We add an additional personal dimension to account for different familiarities and interests. Further, we add an environmental dimension to accommodate different routing situations and a descriptive dimension to consider the brevity of a landmark description. In this paper we identify the attributes of the dimensions of the multidimensional model and investigate methods for calculating the salience of the attributes. The applicability and usefulness of the (still evolving) model is shown with three different case studies.

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Authors and Affiliations

  1. Geoinformatics Group, University of Augsburg, Alter Postweg 118, 86159, Augsburg, Germany

    Eva Nuhn & Sabine Timpf

Authors
  1. Eva Nuhn
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  2. Sabine Timpf
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Corresponding author

Correspondence to Eva Nuhn .

Editor information

Editors and Affiliations

  1. Institute of Cartography and Geoinformation, ETH Zurich, Zürich, Switzerland

    Peter Kiefer

  2. Geographic Information Science, University of Zurich, Zürich, Switzerland

    Haosheng Huang

  3. Cartography & GIS, Department of Geography, Ghent University, Ghent, Belgium

    Nico Van de Weghe

  4. Institute of Cartography and Geoinformation, ETH Zurich, Zürich, Switzerland

    Martin Raubal

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Nuhn, E., Timpf, S. (2018). An Overall Framework for Personalised Landmark Selection. In: Kiefer, P., Huang, H., Van de Weghe, N., Raubal, M. (eds) Progress in Location Based Services 2018. LBS 2018. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-71470-7_12

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