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RecCookBook

『推荐算法』前沿论文阅读与代码实现

推荐论文导读

综述

来源 时间 论文标题 一作/机构 代码实现 简评
recsys 2019 Deep Learning based Recommender System: A Survey and New Perspectives University of New South Wales / /

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协同过滤

来源 时间 论文标题 一作/机构 代码实现 简评
XXX 2020 xxx alibaba / /

向量检索

来源 时间 论文标题 一作/机构 代码实现 简评
XXX 2020 xxx alibaba / /

索引学习

来源 时间 论文标题 一作/机构 代码实现 简评
XXX 2020 xxx alibaba / /

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FM家族

来源 时间 论文标题 一作/机构 代码实现 简评
IEEE International Conference on Data Mining 2010 Factorization machines Steffen Rendle github blog
RecSys 2016 Field-aware Factorization Machines for CTR Prediction Yuchin Juan github \
IJCAI 2017 DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo github \
KDD 2018 xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Jianxun Lian github \

强化学习

来源 时间 论文标题 一作/机构 代码实现 简评
XXX 2020 xxx alibaba / /

多任务学习

来源 时间 论文标题 一作/机构 代码实现 简评
XXX 2020 xxx alibaba / /

图神经网络

来源 时间 论文标题 一作/机构 代码实现 简评
XXX 2020 xxx alibaba / /

经典论文实现

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真实场景Tips

特征工程

分布式训练

深度学习框架使用

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