PageRank(佩奇法则)原型!
Barry在处理客户网站技术端SEO问题时,总是把它们按照上面的三步曲归类,然后一一解决。
比如:rel=”cononical”, hreflang, 301 redirect, page load speed, structured data等等。
他很大胆的抨击谷歌:Google AMP Can Go Hell(谷歌的AMP可以退休了,没用!)
并号召我们SEO人别用Chrome浏览器(他自己用FireFox),因为Google会收集我们的使用数据(别免费把数据给搜索引擎)。
比如:谷歌衡量page load speed(页面加载速度)是通过chrome data来的,而不是我们常用的page speed test工具。
Barry推荐的technical SEO audit工具有:
Deep Crawl
Scream Frog
GSC Index (Google Search Console)
GTmetrix
301 Redirection Checker
Barry讲了一些technicial seo的策略,总体没什么新的东西,演讲的语速什么的也一般般,印象不是很深刻,我听得有点想睡觉,哈哈。他讲了下谷歌创始人之一的佩奇算法PageRanker:
Calculates each canonical page's PageRank:
A. Links, links, links
B. Internal and external links both count
C. Pagerank damping factor
Feeds back to the crawler
high PR = high crawl priority
讲了下爬虫的顺序
Relation to Web Search
Technology -- Crawl
Relevancy -- Indexer
Authority -- Query Engine
* Crawl(爬取)
* Index(收录)
* Rank(排序)
Barry讲了一些technicial seo的策略,总体没什么新的东西,演讲的语速什么的也一般般,印象不是很深刻,我听得有点想睡觉,哈哈。他讲了下谷歌创始人之一的佩奇算法PageRanker:
Calculates each canonical page's PageRank:
A. Links, links, links
B. Internal and external links both count
C. Pagerank damping factor
Feeds back to the crawler
high PR = high crawl priority
讲了下爬虫的顺序
Relation to Web Search
Technology -- Crawl
Relevancy -- Indexer
Authority -- Query Engine
* Crawl(爬取)
* Index(收录)
* Rank(排序)
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