A Recommendation Algorithm to Capture End-Users’ Tacit Knowledge
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.
KeywordsRecommendations Tacit Knowledge Data-driven Ad-hoc
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- 12.Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems. In: Recommender Systems Handbook, pp. 217–253 (2011)Google Scholar