Leveraging social networks for corporate staffing and expert recommendation
by V. Chenthamarakshan,
K. Dey,
J. Hu,
A. Mojsilovic,
W. Riddle,
and V. Sindhwani
Effective management of human resources is a significant challenge
faced by most organizations. In this paper, we look at two problems
that arise in large, globally distributed organizations: staffing
projects with the required subject matter experts and connecting
subject matter experts to other employees who can benefit from
their expertise. Several approaches based on automated skill
matching have been suggested in the past to solve these problems.
However, we argue that social relationships play an important role
in both of these functions, and better matches can be obtained by
combining skill matching with rich social interaction data. We
describe two systems that exploit social networking data to solve
these problems and report the results of real life experiments
performed using these systems.
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