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nofollow在优化中怎么使用才最好?

时间:2017.01.10 来源:http://www.weidaoshang.cn

  
 
  用于meta元标签:<meta name="robots" content="nofollow" />,告诉爬虫该页面上所有链接都无需追踪。
Used for meta meta tags: < meta name = "robots" content = "nofollow" / >, tell the crawler all links on the page without trace.
  用于a标签:<a href="login.aspx" rel="nofollow">登录</a>,告诉爬虫该页面无需追踪。
For a tag: < a href = "login. Aspx" rel = "nofollow" > login < / a >, tell the page crawlers without trace.
  如果在一个页面蜘蛛最先抓取的带有nofollow标签的链接,那么后面无论是多少个该链接不带nofollow标签,搜索引擎都不会给A网站链接分配权重,但是B网站的权重还是会有所流失。
If A page in the spider crawling with nofollow tag links first, so whether how many behind the link without nofollow tag, search engines will not assign A site link weights, but website B weights or will be lost.
  如果在一个页面蜘蛛最先抓取的不带nofollow标签的链接,后面的链接带了nofollow标签。搜索引擎会给A网站分配权重,但是这个权重肯定比没有设置nofollow标签的时候更低,具体多少,难以判定。B网站的权重流失还是跟不带nofollow标签的时候一样。
If a page the first spider crawl links, without nofollow tag at the back of the link with the nofollow tags. Search engines will assign A site weight, but the weight than not set lower nofollow tags, specific how many, is difficult to determine. B site weight loss or like time without nofollow tags.
  网站上的广告,是因为对方给了我们钱,我们才加上的,目的也只是让我们网站的浏览人群能看到广告,进去对方网站,但链接的pr传递并不是管理员的我们愿意看到的。在没有理解nofollow标签之前,开始的做法是把广告链接写在js里,或者iframe处理,现在看来挺傻,使网站复杂,代码复杂,完全背离seo的原理,最简单的做法就是在链接上加上nofollow标签。
Ads on the site, because the other side gave us money, we just added, the purpose is let's go through the crowd to see advertising, website into the other site, but the link at the pr transfer is not we would like to see. Before did not understand nofollow tags, the start of the approach is to write the advertising links in js, or iframe handling, now it seems rather silly, make complex, complex code, completely deviate from the principle of seo, it is the simplest in the link with nofollow tags.
  nofollow在Google的作用已经很弱,所以SEO要控制站点的PR的流动,避免链接指向垃圾页面,只能靠人工审核的方法。
Nofollow in Google's role is very weak, so SEO to control the flow of the site's PR, avoid links to spam page, only by artificial audit method.

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