Generic and Spatial Approaches to Image Search Results Diversification

Authors:
Monica Lestari Paramita;Jiayu Tang;Mark Sanderson
Affiliations:
Department of Information Studies, University of Sheffield, UK;Department of Information Studies, University of Sheffield, UK;Department of Information Studies, University of Sheffield, UK
Venue:
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Year:
2009

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Abstract

We propose a generic diversity and two novel spatial diversity algorithms for (image) search result diversification. The outputs of the algorithms are compared with the standard search results (which contains no diversity implementation) and found to be promising. In particular, the geometric mean spatial diversity algorithm manages to achieve good geographical diversity while not significantly reducing precision. To the best of our knowledge, such a quantitive evaluation of spatial diversity algorithms for context based image retrieval is new to the community.