Abstract
Chapter 5 has laid out an approach to identify the semantic proximity between two named entities like brand and product names, locations, and so forth. The underlying chapter will now work on this model and put it to use for the identification and recommending of technology synergies. That is, given a set of technologies associated with different business units, we want to know which are the pairs of technologies that exhibit the largest synergies.
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© 2013 Springer International Publishing Switzerland
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Ziegler, CN. (2013). Recommending Technology Synergies. In: Social Web Artifacts for Boosting Recommenders. Studies in Computational Intelligence, vol 487. Springer, Cham. https://doi.org/10.1007/978-3-319-00527-0_6
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DOI: https://doi.org/10.1007/978-3-319-00527-0_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00526-3
Online ISBN: 978-3-319-00527-0
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