We introduce a novel approach to expert finding based on multi-step relevance propagation from documents to related candidates. Relevance propagation is modeled with an absorbing ...
Most of the research inthe area of expert finding focuses on creating and maintaining centralized directories of experts' profiles, which users can search on demand. However, ...
When a novice needs help, often the best solution is to find a human expert who is capable of answering the novice’s questions. But often, novices have difficulty characterizing...
The task addressed in this paper, finding experts in an enterprise setting, has gained in importance and interest over the past few years. Commonly, this task is approached as an ...
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...