#Reading Paper# 【选择偏差】ICML‘16：IPS——Recommendations as Treatments: Debiasing Learning - 代码天地

#Reading Paper# 【选择偏差】ICML‘16：IPS——Recommendations as Treatments: Debiasing Learning

企业开发 2023-04-09 23:54:13 阅读次数: 0

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转载自blog.csdn.net/CRW__DREAM/article/details/127842215

#Reading Paper# 【选择偏差】ICML‘16：IPS——Recommendations as Treatments: Debiasing Learning

【论文笔记】ICML2016 ＆ Cornell | (IPS-MF) Recommendations as treatments: Debiasing learning and evaluation

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#Reading Paper# 【图对比学习难样本挖掘】ICML‘22 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive L

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#Reading Paper# 【序列推荐】WWW 2022 Disentangling Long and Short-Term Interests for Recommendation

#Reading Paper# 【序列推荐】SDM: Sequential Deep Matching Model for Online Large-scale Recommender System

#Reading Paper# 【长序列推荐】Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Net

#Reading Paper# 【序列推荐】SIGIR 2022 Decoupled Side Information Fusion for Sequential Recommendation

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