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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] It also implements many retrieval metrics as well as provides many ways to carry out evaluation.