User-Centric Similarity and Proximity Measures for Spatial Personalization

Yanwu Yang, Christophe Claramunt, Marie-Aude Aufaure and Wensheng Zhang
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Yanwu Yang: Chinese Academy of Sciences, China
Christophe Claramunt: Naval Academy Research Institute, France
Marie-Aude Aufaure: Ecole Centrale Paris, France
Wensheng Zhang: Chinese Academy of Sciences, China

International Journal of Data Warehousing and Mining (IJDWM), 2010, vol. 6, issue 2, 59-78

Abstract: Spatial personalization can be defined as a novel way to fulfill user information needs when accessing spatial information services either on the web or in mobile environments. The research presented in this paper introduces a conceptual approach that models the spatial information offered to a given user into a user-centered conceptual map, and spatial proximity and similarity measures that considers her/his location, interests and preferences. This approach is based on the concepts of similarity in the semantic domain, and proximity in the spatial domain, but taking into account user’s personal information. Accordingly, these spatial proximity and similarity measures could directly support derivation of personalization services and refinement of the way spatial information is accessible to the user in spatially related applications. These modeling approaches are illustrated by some experimental case studies.

Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jdwm00:v:6:y:2010:i:2:p:59-78

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