ECIR 2016: Advances in Information Retrieval pp 227-239

Probabilistic Local Expert Retrieval

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9626)

Abstract

This paper proposes a range of probabilistic models of local expertise based on geo-tagged social network streams. We assume that frequent visits result in greater familiarity with the location in question. To capture this notion, we rely on spatio-temporal information from users’ online check-in profiles. We evaluate the proposed models on a large-scale sample of geo-tagged and manually annotated Twitter streams. Our experiments show that the proposed methods outperform both intuitive baselines as well as established models such as the iterative inference scheme.

Keywords

Domain expertise Geo-tagging Twitter 

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.University College LondonLondonUK
  2. 2.Department of Computer ScienceETH ZurichZurichSwitzerland
  3. 3.Faculty of ScienceRadboud UniversityNijmegenThe Netherlands

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