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Lecture Notes in Computer Science
Although topic models designed for textual collections annotated with geographical meta-data have been previously shown to be effective at capturing vocabulary preferences of people living in different geographical regions, little is known about their utility for information retrieval in general or microblog retrieval in particular. In this work, we propose simple and scalable geographical latent variable generative models and a method to improve the accuracy of retrieval from collections ofdoi:10.1007/978-3-319-16354-3_70 fatcat:lclga4ijovf45hd64jkemouq34