feed流资料汇总

＃代码
- https://github.com/bluemapleman/NewsRecommendSystem
#基于内容的推荐
- http://breezedeus.github.io/2012/04/10/breezedeus-content-based-rec.html
- https://blog.csdn.net/u011537073/article/details/54143441
#个性化新闻阅读
- https://blog.csdn.net/javastart/article/details/51752000
#产品
- https://www.jianshu.com/p/524f4f971d78[个性化阅读类产品的思考]
＃推荐系统的冷思考
- https://www.jianshu.com/p/fe04007c4f06
# 内容推荐：
- 关键词
- 分类
- 来源
##技术
- NLP
https://github.com/anderscui/jieba.NET
- news recommendation
https://github.com/bluemapleman/NewsRecommendSystem


http://blog.cydu.net/
http://blog.cydu.net/public/doc/Velocity%E5%88%86%E4%BA%AB_%E5%BE%AE%E6%9E%B6%E6%9E%84%E8%AE%BE%E8%AE%A1%E4%B9%8B%E5%BE%AE%E5%8D%9A%E8%AE%A1%E6%95%B0%E5%99%A8%E6%9C%8D%E5%8A%A1_%E6%9D%9C%E4%BC%A0%E8%B5%A2_20121205.pdf
https://www.csdn.net/article/2010-07-26/277273

#互联网技术大牛博客
- 刘未鹏  http://mindhacks.cn/
- 陈皓　　https://coolshell.cn/
http://www.udpwork.com

#feed产品
- http://36kr.com/p/5061271.html　[产品功能解读：为什么Facebook和新浪微博都选择智能FEED？]
- http://www.woshipm.com/it/591583.html [基于智能FEED流的微博，是如何让用户「随时随地发现新鲜事」？]
#设计与实现
##代码
- (!IMPORTANT)https://github.com/tschellenbach/Stream-Framework [FEEDLY]
- (!IMPORTANT)https://getstream.io/  [stream  python, Node, Ruby, PHP, Python, Go, Scala, Java and REST]
##架构
- https://wenku.baidu.com/view/64dae9d126fff705cc170afd.html
- http://www.infoq.com/cn/presentations/ywh-build-high-performance-weibo
- (!IMPORTANT)https://yq.aliyun.com/articles/224132 [如何打造千万级Feed流系统]
##数据表设计
- https://www.cnblogs.com/javawebsoa/archive/2013/05/30/3108976.html
- https://blog.csdn.net/chrp99/article/details/8938360
- https://blog.csdn.net/cleanfield/article/details/6339428
##推拉模式
- https://www.cnblogs.com/sunli/archive/2010/08/24/twitter_feeds_push_pull.html
##缓存(没有接触过，感觉很难的样子)
- https://blog.csdn.net/shizhiailian/article/details/52422894
- http://www.dataguru.cn/article-7926-1.html
- https://weibo.com/5191033181/D7uXpAJta?type=comment#_rnd1527225769268
- http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html
- https://weibo.com/ttarticle/p/show?id=2309404013728432540615
- https://www.coder4.com/archives/2731
- (!IMPORTANT)http://www.docin.com/p-1303175351.html [构建高性能的微博系统-再谈新浪微博架构]
- (视频)http://www.infoq.com/cn/presentations/ywh-build-high-performance-weibo[构建高性能的微博系统-再谈新浪微博架构]
- http://www.open-open.com/doc/view/4de135c5e2954de797b4d7c44da7c425 [新浪微博Cache设计@TimYang.pdf]

- https://wenku.baidu.com/view/3603f73183c4bb4cf7ecd1b5.html [Sina微博构架师-杨卫华：构建可扩展的微博系统]
- (!IMPORTANT)https://www.csdn.net/article/2013-11-07/2817430-design-decisions-for-scaling-your-high-traffic-feeds [百万用户时尚分享网站feed系统扩展实践]
- (!IMPORTANT)http://highscalability.com/blog/2013/10/28/design-decisions-for-scaling-your-high-traffic-feeds.html
- (!TWEETER) http://highscalability.com/blog/2013/7/8/the-architecture-twitter-uses-to-deal-with-150m-active-users.html [The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds]
##分页
##取消关注、取消收藏等如何更新
##推荐算法