A probabilistic model of geographic relevance

Authors:
Stefano De Sabbata;Tumasch Reichenbacher
Affiliations:
University of Zürich, Zürich, Switzerland;University of Zürich, Zürich, Switzerland
Venue:
Proceedings of the 6th Workshop on Geographic Information Retrieval
Year:
2010

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Abstract

In this paper, we present a new model for the assessment of Geographic Relevance. This model is drawn from Okapi BM25, thus it takes into account not only a score for each dimension of relevance but also the distribution of these scores within the collection. Preliminary results suggest that the relevance estimation of top-ranked objects is more sensitive to small changes in the user context.