“第三十五章 推荐算法”版本间的差异
来自cslt Wiki
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==演示链接== | ==演示链接== | ||
+ | |||
+ | * Realtime collaborative filter [https://www.timelydevelopment.com/demos/RealtimeCollaborativeFiltering.html] | ||
第31行: | 第33行: | ||
* Recommenders [https://github.com/microsoft/recommenders] | * Recommenders [https://github.com/microsoft/recommenders] | ||
* Simple example of recommendation (python notebook) [https://github.com/shivam1808/Recommendation-System] | * Simple example of recommendation (python notebook) [https://github.com/shivam1808/Recommendation-System] | ||
+ | * A simple tutorial for recommendation system [https://www.datacamp.com/tutorial/recommender-systems-python] | ||
+ | |||
==高级读者== | ==高级读者== | ||
* 推荐系统 [https://item.jd.com/12405776.html] | * 推荐系统 [https://item.jd.com/12405776.html] |
2022年8月19日 (五) 14:46的版本
教学资料
扩展阅读
- 知乎:什么是推荐系统 [2]
- 零基础科普:4种简单推荐算法背后的原理 [3]
- 维基百科:协同过滤[4][5]
- Ilya Katsov, Customer2Vec: Representation learning for customer analytics and personalization [6]
视频展示
- 贪心学院:基于协同过滤的推荐系统 [11]
演示链接
- Realtime collaborative filter [12]
开发者资源
- Recommenders [13]
- Simple example of recommendation (python notebook) [14]
- A simple tutorial for recommendation system [15]
高级读者
- 推荐系统 [16]