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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References
Balog, K., Azzopardi, L., De Rijke, M.: Formal models for expert finding in enterprise corpora. In: SIGIR 2006, pp. 43–50. ACM (2006)
Banerjee, S., Dholakia, R.: Mobile advertising: does location based advertising work? International Journal of Mobile Marketing (2008)
Bar-Haim, R., Dinur, E., Feldman, R., Fresko, M., Goldstein, G.: Identifying and following expert investors in stock microblogs. In: EMNLP 2011, pp. 1310–1319 (2011)
Bennett, P.N., Radlinski, F., White, R.W., Yilmaz, E.: Inferring and using location metadata to personalize web search. In: SIGIR 2011, pp. 135–144. ACM (2011)
Campbell, C.S., Maglio, P.P., Cozzi, A., Dom, B.: Expertise identification using email communications. In: CIKM 2003, pp. 528–531 (2003)
Cheng, Z., Caverlee, J., Lee, K.: You are where you tweet: a content-based approach to geo-locating twitter users. In: CIKM 2010, pp. 759–768. ACM (2010)
Li, W., Serdyukov, P., de Vries, A.P., Eickhoff, C., Larson, M.: The where in the tweet. In: CIKM 2011, pp. 2473–2476. ACM (2011)
Wagner, C., Liao, V., Pirolli, P., Nelson, L., Strohmaier, M.: It’s Not in Their Tweets: Modeling Topical Expertise of Twitter Users. In: 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing, pp. 91–100 (2012)
Weng, J., Lim, E.-P., Jiang, J., He, Q.: TwitterRank: Finding Topic-sensitive Influential Twitterers. In: WSDM 20210, pp. 261–270 (2010)
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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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