An apple-to-apple comparison of Learning-to-rank algorithms in terms of Normalized Discounted Cumulative Gain

By Róbert Istvan Busa-Fekete, Gy¨orgy Szarvas, Tam´as ´Eltet˝o, B. K´egl. 2012

41 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yongsu Ahn
2. Yu-Ru Lin
3. Dang Lien Minh
4. Santo Fortunato

Citations in the corpus

• FairSight: Visual Analytics for Fairness in Decision Making (2019, methodology): “A popular method for comparing rankings is nDCG [7], which involves logarithmic discount to favor items at the top ranking positions.”