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Social Broker Recommendation

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Social Network-Based Recommender Systems

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Abstract

In this chapter we propose novel socially-based models for the composition of Professional Virtual Communities (PVC). We focus on the notion of brokers who act as intermediaries between separated communities. We introduce a broker discovery and ranking approach utilizing a link-based broker importance model. We evaluate our approach through a service-oriented testbed and real community data obtained from the European Union’s FP7 research program.

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Authors and Affiliations

  1. Siemens Corporate Technology, Wien, Austria

    Daniel Schall

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  1. Daniel Schall
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Schall, D. (2015). Social Broker Recommendation. In: Social Network-Based Recommender Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-22735-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-22735-1_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22734-4

  • Online ISBN: 978-3-319-22735-1

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