算法排名流行的博客文章算法、文章、博客

由网友(流行的)分享简介:我建立一个博客聚合如 Techmeme ,发现几个博客最热门职位。与Techmeme,首先,我聚合博客文章从各种RSS源,然后保存标题和相关的URL数据库。在那之后,我一定要找到什么样的最热门的博客帖子是I am building a blog aggregator like Techmeme that finds...

我建立一个博客聚合如 Techmeme ,发现几个博客最热门职位。与Techmeme,首先,我聚合博客文章从各种RSS源,然后保存标题和相关的URL数据库。在那之后,我一定要找到什么样的最热门的博客帖子是

I am building a blog aggregator like Techmeme that finds most popular posts from several blogs. Unlike Techmeme, first, I aggregate blog posts from a variety of RSS feeds, then save the headlines and relevant URLs in database. After that, I have to find what the most popular blog posts are.

有关定义顶级博客文章的标题,我追踪Facebook和Twitter分享计数每一个博客的每一个岗位,我排在博客文章的份额数。但是,这并不是因为某些博主可以通过增加自己的共享数与欺诈股骗的最佳解决方案。

For defining top blog post headlines, I track Facebook and Twitter share counts for every post of every blog and I rank the blog posts for their share counts. But that isn't the best solution because some bloggers can cheat via increasing their sharing counts with fraudulent shares.

所以我的问题是什么规定 - 我可以用它来定义什么是最热门的职位是什么? 什么是对排名的博客帖子更好的算法?

So my question is what criterias could I use to define what the most popular posts are? What would be a better algorithm for ranking blog posts?

推荐答案

由于在这种情况下,术语大众化是模糊的我会根据我的审核规定确定岗位的普及。结合所有的参考答案,并做出合理的信誉系统的博客文章。例如,基本的我会做这样的事情。

Since the term 'popular' in this context is vague I would define the popularity of posts according to my criterias. Combine all suggested answers and make a reasonable reputation system for the blog posts. For instance, basically I would do something like this.

在Facebook共享×2 在Twitter共享×3 域×2 中的PageRank 50 000 /全球Alexa的评价 等 facebook share x 2 twitter share x 3 pagerank of the domain x 2 50 000 / global alexa rating and so on

最后,你可能会总结所有这些和比较。此外,你可以开发一些规定 - 考虑到职位的大小,图像的数量大小的岗位中,等等。

Finally, you may sum up all these and compare. Moreover, you can develop some criterias take into account of size of size of posts, number of images within the post, etc.

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