Towards an Integration of Space and Accessibility in Web Personalization
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.
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