584 citations · 3.1k across the 56 of their papers we have counts for
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cs.IR2023
Unconfounded Propensity Estimation for Unbiased Ranking
Dan Luo, Lixin Zou, Qingyao Ai +4
The goal of unbiased learning to rank (ULTR) is to leverage implicit user feedback for optimizing learning-to-rank systems. Among existing solutions, automatic ULTR algorithms that…
cs.IR2023★ 153 cited
Disentangled Contrastive Collaborative Filtering
Xubin Ren, Lianghao Xia, Jiashu Zhao +2
Recent studies show that graph neural networks (GNNs) are prevalent to model high-order relationships for collaborative filtering (CF). Towards this research line, graph contrastiv…
cs.IR2023★ 30 cited
User Retention-oriented Recommendation with Decision Transformer
Kesen Zhao, Lixin Zou, Xiangyu Zhao +2
Improving user retention with reinforcement learning~(RL) has attracted increasing attention due to its significant importance in boosting user engagement. However, training the RL…