Leveraging geographical metadata to improve search over social media

Authors:
Alexander Kotov;Yu Wang;Eugene Agichtein
Affiliations:
Emory University, Atlanta, GA, USA;Emory University, Atlanta, GA, USA;Emory University, Atlanta, GA, USA
Venue:
Proceedings of the 22nd international conference on World Wide Web companion
Year:
2013

Citing 7
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Abstract

We propose the methods for document, query and relevance model expansion that leverage geographical metadata provided by social media. In particular, we propose a geographically-aware extension of the LDA topic model and utilize the resulting topics and language models in our expansion methods. The proposed approach has been experimentally evaluated over a large sample of Twitter, demonstrating significant improvements in search accuracy over traditional (geographically-unaware) retrieval models.