Ranklib Overview
RankLib is a library of learning to rank algorithms. Currently eight popular algorithms have been implemented:
＊MART (Multiple Additive Regression Trees, a.k.a. Gradient boosted regression tree) [6]
＊RankNet [1]
＊RankBoost [2]
＊AdaRank [3]
＊Coordinate Ascent [4]
＊LambdaMART [5]
＊ListNet [7]
＊Random Forests [8]
With appropriate parameters for Random Forests, it can also do bagging several MART/LambdaMART rankers. It also implements many retrieval metrics as well as provides many ways to carry out evaluation.