Abstract
In this paper, we present a framework for describing a user’s geo-spatial domain expertise in microblog settings. We investigate a novel way of casting the expertise problem by using points of interest (POI) as a possible categorization of expertise. To this end, we study a large-scale sample of geo-tagged tweets and model users’ location tracks in order to gain insights into their daily activities and competencies. Based on a qualitative user study among active Twitter users, we present an initial exploration of domain expertise indicators on microblogging portals and design a classification scheme that is able to reliably identify domain experts.
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Li, W., Eickhoff, C., de Vries, A.P. (2014). Geo-spatial Domain Expertise in Microblogs. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_46
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DOI: https://doi.org/10.1007/978-3-319-06028-6_46
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06027-9
Online ISBN: 978-3-319-06028-6
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