We have finished developing the decision support system for the referee selection in the process of assigning a proposal to the referees in Iran National Science Foundation (INSF). The system tries to recommend best-fit referees regarding the specification for incoming proposals and profiles of referees. This can enable INSF authorities to make a good choice without exploring all the stored information themselves.
The system tries to recommend best-fit referees regarding the specification of the incoming proposals including the topic, description, financial properties as well as information from the profiles of referees including their expertise, their referee experiences, their availability, and so on. This project was offered by Iran National Science Foundation (INSF) and the developed system enables INSF authorities to make a good choice without exploring all the stored information themselves.
The engine of the system employs learning to rank approaches to learn a model for fusing different scoring functions. We are going to adopt the system for the task of conference reviewer suggestion and extend it as a plugin for the University of Tehran Conference System.