Evaluation and user preference study on spatial diversity
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Inferring and using location metadata to personalize web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
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Spatial diversity is a relatively new branch of research in the context of spatial information retrieval. It tries to answer user's query with results that are not only relevant but also spatially diversified so that they are from many different locations. Although the assumption that spatially diversified results may meet users' needs better seems reasonable, there has been little hard evidence in the literature indicating so. In this paper, we will show our follow-up work on the novel approach to investigating user preference on spatial diversity by using Amazon Mechanical Turk.