Learning to rank is the emerging research field in many data mining applications and information retrieval techniques (e.g. Search engines). The major issue in ranking algorithm is that the quality or ranking is affected by labeled examples, since it is very expensive and also time consuming to collect labeled samples. This problem brings a great need for active learning algorithm; however, in ...

Regardless of the shortcomings and criticisms world university rankings, these metrics are still widely used by students parents to select universities attract talented researchers, as well funding. This paper proposes a new mixed-integer programming model for ranking universities. The approach alleviates one -- issue ``arbitrariness'' weights aggregation individual criteria (or indicators) uti...