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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