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Interweaving Public User Profiles on the Web

  • Fabian Abel
  • Nicola Henze
  • Eelco Herder
  • Daniel Krause
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6075)

Abstract

While browsing the Web, providing profile information in social networking services, or tagging pictures, users leave a plethora of traces. In this paper, we analyze the nature of these traces. We investigate how user data is distributed across different Web systems, and examine ways to aggregate user profile information. Our analyses focus on both explicitly provided profile information (name, homepage, etc.) and activity data (tags assigned to bookmarks or images). The experiments reveal significant benefits of interweaving profile information: more complete profiles, advanced FOAF/vCard profile generation, disclosure of new facets about users, higher level of self-information induced by the profiles, and higher precision for predicting tag-based profiles to solve the cold start problem.

Keywords

Individual Service Social Networking Service Cold Start Problem Public User Social Media Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Fabian Abel
    • 1
  • Nicola Henze
    • 1
  • Eelco Herder
    • 1
  • Daniel Krause
    • 1
  1. 1.IVS – Semantic Web Group & L3S Research CenterLeibniz University HannoverGermany

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