211 citations · 527 across the 28 of their papers we have counts for
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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…
cs.LG2021★ 2 cited
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning
Fan Yao, Renqin Cai, Hongning Wang
Combinatorial optimization problem (COP) over graphs is a fundamental challenge in optimization. Reinforcement learning (RL) has recently emerged as a new framework to tackle these…
cs.IR2021★ 24 cited
Explanation as a Defense of Recommendation
Aobo Yang, Nan Wang, Hongbo Deng +1
Textual explanations have proved to help improve user satisfaction on machine-made recommendations. However, current mainstream solutions loosely connect the learning of explanatio…