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Partner Recommendation

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Social Network-Based Recommender Systems

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Abstract

In this chapter we present a novel approach for measuring and combing various criteria for partner importance evaluation in scientific collaboration networks. The presented approach is cost sensitive, aware of temporal and context-based partner authority, and takes structural information with regards to structural holes into account. The applicability of the proposed approach and the effects of parameter selection are extensively studied using real data from the European Union’s research program.

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Notes

  1. 1.

    www.shanghairanking.com.

  2. 2.

    http://observatory.euroris-net.eu/euroris/files/download/261-316.

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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). Partner Recommendation. In: Social Network-Based Recommender Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-22735-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-22735-1_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22734-4

  • Online ISBN: 978-3-319-22735-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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