211 citations · 249 across the 8 of their papers we have counts for
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cs.IR2021★ 1 cited
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank
Yiling Jia, Hongning Wang
Online learning to rank (OL2R) has attracted great research interests in recent years, thanks to its advantages in avoiding expensive relevance labeling as required in offline supe…
cs.LG2021★ 20 cited
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer
Yiling Jia, Huazheng Wang, Stephen Guo +1
Online Learning to Rank (OL2R) eliminates the need of explicit relevance annotation by directly optimizing the rankers from their interactions with users. However, the required exp…