Understanding expert finding systems: domains and techniques

摘要: Expert finding can be required for a variety of purposes: referees conference paper, recommending consultants software project, and identifying qualified answerers question in online knowledge-sharing communities, to name few. This paper presents taxonomy the task expert that highlights differences between experts, from type expertise indicator’s point view. The supports deep understanding different sources information enterprise or communities; example, authored documents, emails, posts, social networks. In addition, content non-content features characterize evidence are discussed. goal is guide researchers who seek conduct studies regarding types indicators state-of-the-art techniques organizations communities. concludes although have utilized large number graph machine-learning locating expertise, there still technical issues associated with implementation some these methods. It also corroborates combining content-based relationships has benefit alleviating related ranking answer experts. above findings give implications developing new overcome performance current