The study of relevance is one of the central themes in information science where the concern is to match information objects with expressed information needs of the users. Despite substantial advances in search engines and information retrieval (IR) systems in the past decades, this seemingly intuitive concept of relevance remains to be an illusive one to define and even more challenging to model computationally [5, 13]. Geographical information retrieval extends and advances traditional IR methods with a spatial (or geographical dimension) of document representation and relevance measures.