【文献阅读】 2019-IJCAI-Sequential Recommender Systems Challenges, Progress and Prospects - 代码天地

【文献阅读】 2019-IJCAI-Sequential Recommender Systems Challenges, Progress and Prospects

其他 2020-03-10 10:38:40 阅读次数: 0

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转载自blog.csdn.net/qq_34862636/article/details/102133009

【文献阅读】 2019-IJCAI-Sequential Recommender Systems Challenges, Progress and Prospects

Sequential Recommender Systems: Challenges, Progress and Prospects翻译和笔记

#Reading Paper# 【序列推荐综述】IJCAI‘19:Sequential Recommender Systems: Challenges, Progress and Prospects

推荐系统综述：A review on deep learning for recommender systems: challenges and remedies

论文阅读：《Wide & Deep Learning for Recommender Systems》

论文阅读: Wide & Deep Learning for Recommender Systems

【论文笔记】Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions

《Wide and deep learning in Recommender Systems》论文阅读笔记

Wide & Deep Learning for Recommender Systems 论文阅读总结

推荐系统（Recommender Systems）

Recommender Systems(推荐系统)

A Berkeley View of Systems Challenges for AI

machine learning 之 Recommender Systems

week9:Recommender Systems

推荐系统：Recommender Systems 简介

Hybrid Recommender Systems: Survey and Experiments

Deep Learning for Recommender Systems资料

Manning Practical Recommender Systems 2019.1

文献阅读：Semantic Communications: Principles and Challenges

Paper Reading:Wide & Deep Learning for Recommender Systems

推荐系统——Matrix factorization techniques for recommender systems

推荐系统——Exploiting Emotion on Reviews for Recommender Systems

推荐系统——Collaborative Variational Autoencoder for Recommender Systems

Wide & Deep Learning for Recommender Systems 模型实践

Wide & Deep Learning for Recommender Systems 翻译

《Wide & Deep Learning for Recommender Systems》论文总结

《Wide and Deep Learning for Recommender Systems》学习笔记

机器学习（十一）-------- 推荐系统(Recommender Systems)

ICDM 2020 Workshop on Neural Recommender Systems

Wide & Deep Learning for Recommender Systems【论文记录】

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