Google Rank Algorithm Hypothesis
在 digitalpoint 上看到的这个 Google 排名算法公式相对比较合理的影响因素, 留着参考下.
GoogScore = (KW Usage Score * 0.3) + (Domain Strength * 0.25) + (Inbound Link Score * 0.25) + (User Data * 0.1) + (Content Quality Score * 0.1) + (Manual Boosts) – (Automated & Manual Penalties)
KW Usage Factors:
* KW in title tag
* KW in header tags
* KW in document text
* KW in internal links pointing to the page
* KW in domain and/or URLDomain Strength
* Registration history
* Domain age
* Strength of links pointing to the domain
* Topical neighborhood of domain based on inlinks & outlinks
* Historical use & links pattern to domainInbound Link Score
* Age of links
* Quality of domains sending links
* Quality of pages sending links
* Anchor text of links
* Link quantity/weight metric (Pagerank or a variation)
* Subject matter of linking pages/sitesUser Data
* Historical CTR to page in SERPs
* Time users spend on page
* Search requests for URL/domain
* Historical visits/use of URL/domain by users GG can monitor (toolbar, wifi, analytics, etc.)Content Quality Score
* Potentially given by hand for popular queries/pages
* Provided by Google raters
* Machine-algos for rating text quality/readability/etc
Google 排名算法公式中文翻译
Google得分=(关键词得分X0.3)+(域名权重X0.25)+(外链得分X0.25)+(用户数据X0.1)+(内容质量得分X0.1)+(人工提分)-(人工/自动降分)
关键词得分影响因子:
* 网页title
* Hx
* 文本内容
* 外链中
* 域名/网址域名权重:
* 注册历史
* 域名年龄
* 外链权重
* 外链、给出链接相关度
* 使用历史、链接形式外链得分:
* 链接时间
* 链接域名权重
* 锚文本
* 链接数量/链接权重(PR或其他参数)
* 外链网页的主题用户数据:
* 搜索引擎结果页面(SERPs)的点击率
* 用户在网页上呆的时间
* 域名或URL搜索量
* 访问量及其他Google可以监测到的数据(工具条、GA等)内容质量得分:
* 流行的内容/关键词人工加分
* Google投票人员
* 机器算法
很老的文章了……
拿来做下参考还是有用滴.