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A Propagation Model for Integrating Web of Things and Social Networks

  • Lina Yao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7221)

Abstract

Modeling interest of a user for services recommendation and friendship between users is the major activity of social networks. The information used by social networks such as user profiles is unfortunately easy to be faked and misled by the users, which often results in poor service recommendation and friendship prediction. In this paper, we propose a propagation model that integrates the emerging Web of Things (resource/services networks) and social networks together so that better service recommendation and friendship prediction can be achieved by considering interactions between people and things.

Keywords

Social Network Recommendation System Preferential Attachment Latent Variable Model Service Recommendation 
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 2012

Authors and Affiliations

  • Lina Yao
    • 1
  1. 1.School of Computer ScienceThe University of AdelaideAdelaideAustralia

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