Algorithm of Active Learning to Rank Based on PRank Algorithm
Yang Wang, Yalou Huang · Jisuanji gongcheng · 2008
This paper focuses on how to find out the most useful data to label and how to learn a more plausible ranking model with a smaller set of labeled data in learning to ranking field.It brings the idea of active learning into ranking problem,and proposes an active ranking algorithm based on PRank to reduce the labeling cost.Experimental results on real-world dataset show that the algorithm can reduce the labeling cost without decreasing the ranking accuracy.