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Abstract of paper: A high maturity in corporate problem solving is a competitive advantage. Companies seek to use
the wisdom of the crowd they have internally. One approach is to enable the employees to publish
a so-called Urgent Request. For a quick and high-quality response it is helpful to distribute such an
Urgent Request either to a high number of employees (broadcasting) or to target the message to
those employees which have the highest probability to answer (target messaging). The first
approach usually causes crowd fatigue. Therefore we focus on the target messaging approach and
demonstrate how this more responsible usage of notifications can reduce the number of
notifications by an order of magnitude with almost no loss of the response rate. This paper presents
the real-life data of the semantic target messaging algorithm of TechnoWeb, a Siemens-internal
social media platform for corporate problem solving.
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