Bandit Algorithms for e-commerce Recommender Systems 摘要

时间 2021-01-02

标签推荐系统强化学习 bandit算法繁體版

原文原文链接

原文链接： Bandit Algorithms for e-commerce Recommender Systems：extended abstract 另外参考： bandit算法与推荐系统一、推荐系统（item-to-item场景下）是否需要考虑强化学习？在电子商务网站的产品页使用推荐系统，是为了通过提高增销（upsale）的几率从而增加订单价值（比如，本来想买汉堡，结果又买了一包薯条）。

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1. Learning Tree-based DeepModel for Recommender Systems
2. Directional Adversarial Training for Recommender Systems
3. Wide & Deep Learning for Recommender Systems
4. Collaborative Deep Learning for Recommender Systems
5. Paper Reading:Wide & Deep Learning for Recommender Systems
6. Knowledge Graph Convolutional Networks for Recommender Systems
7. Wide &Deep Learning for Recommender Systems
8. Building recommender systems with Azure Machine Learning service
9. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
10. Neural Relational Inference for Interacting Systems摘要

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