A Modification of LambdaMART to Handle Noisy Crowdsourced Assessments
Pavel Metrikov, Jie Wu, Jesse Anderton, Virgil Pavlu, Javed A. Aslam · 2013
We consider noisy crowdsourced assessments and their impact on learning-to-rank algorithms. Starting with EM-weighted assessments, we modify LambdaMART in order to use smoothed probabilistic preferences over pairs of documents, directly as input to the ranking algorithm.