2 citations · 3 across the 4 of their papers we have counts for
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cs.IR2023★ 2 cited
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation
Qiang Liu, Zhaocheng Liu, Zhenxi Zhu +2
Recently, multi-interest models, which extract interests of a user as multiple representation vectors, have shown promising performances for sequential recommendation. However, non…
cs.IR2020★ 1 cited
Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation
Mucun Tian, Chun Guo, Vito Ostuni +1
Learning-to-Rank (LTR) models trained from implicit feedback (e.g. clicks) suffer from inherent biases. A well-known one is the position bias -- documents in top positions are more…