Resampling Summarizer for Social Media
Simply resample the social stream, using the auto-summarization algorithm as resampling function.
Today, we have pretty good summarization algorithms for text (for example, sumy). The social network messages are simply rows of our database. Take equidistant time intervals, and summarize the text of many posts of the chatty people, as one post (in chosen intervals of time, e.g., daily), and leave those rarer posts unsummarised.
+[项目]
显然，有人在做相关的事情:: “Facebook 很快将允许您将多个帖子合并为一个故事”，或者他们可能是跟随无限？只需应用 LDA，这是一件非常简单的事情。
Apparently, someone's working on something related:: "Facebook will soon allow you to combine multiple posts into one story", or maybe they are following Infinity? Just apply LDA, such a simple thing to do.
关于改善社交媒体时间表共享的许多想法：
1.在其他人的时间轴上的时间粘性帖子，与海报尚未发布的时间成比例...（即，填写关注时间积分）
2.如果单个海报中的帖子太多，且时间紧迫，则按时间范围自动合并帖子。
3.使用文本摘要程序来合并帖子（例如gensim / LDA）。
4.限制每个用户在每个时间范围内的帖子数量（即缓慢的发推文）。
5.按主题过滤来自朋友的帖子，例如，仅阅读数学帖子，而不阅读烹饪帖子。
Many ideas on improving social media time-line sharing: