A recommendation algorithm to capture end-users' tacit knowledge

Abstract

To capture knowledge workers' tacit knowledge, while they are performing their work, we consider the use of an ad-hoc workflow system that does not leverage on any predefined model. To avoid the noisy divergence of ad-hoc executions of business processes, we propose a recommendation algorithm that promotes convergent behavior through a goal-driven strategy based on data instead of activity control flow. © 2012 Springer-Verlag.