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cs.IR2019
Plackett-Luce model for learning-to-rank task
Tian Xia, Shaodan Zhai, Shaojun Wang
List-wise based learning to rank methods are generally supposed to have better performance than point- and pair-wise based. However, in real-world applications, state-of-the-art sy…
cs.IR2019★ 1 cited
Analysis of Regression Tree Fitting Algorithms in Learning to Rank
Tian Xia, Shaodan Zhai, Shaojun Wang
In learning to rank area, industry-level applications have been dominated by gradient boosting framework, which fits a tree using least square error principle. While in classificat…