CAFE: Collaboration Aimed at Finding Experts

Research-oriented tasks continue to become more complex, requiring more collaboration between experts. Historically, research has focused on either finding a single expert for a specific task (expertise finding, or EF), or trying to form a group that satisfies various conditions (group formation, or GF). EF is typically group context agnostic, while GF requires complex models that are difficult to automate. This paper focuses on the union of these two, forming groups of experts. We concentrate in this paper on the expertise aspect of group formation, since without the needed expertise, regardless of other factors, the task can not be accomplished. Our proposed model, CAFE (Collaboration Aimed at Finding Experts), is a data-driven approach, easy to construct and dynamic with respect to the data. More specifically, we address the problem of finding a group of experts for a given task (research paper) by utilizing the data inherent to citation graphs.