Towards an Integration of Space and Accessibility in Web Personalization

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Abstract

Web personalization can be seen as an interdisciplinary domain that facilitates interaction between web content and user needs. One of the peculiarities of Web information is that a significant part of the data is georeferenced although this is not completely taken into account by current search and personalization engines. This paper introduces a spatial personalization approach based on a user modeling technique and a measure of spatial accessibility. We develop a personalized accessibility measure whose objective is to predict and evaluate location relevancy, accessibility and associations at the user level. This measure favors delivery of location-based and personalized recommendations.