PageRank Algorithm Analysis
June 26, 2005来 Source: Unknown
What is PageRank?
PageRank is Google's tool for measuring the importance of Web pages, measuring values ranging from 1 to 10 to represent the importance of a page. You can get a PageRank value for a page at any time on the Google toolbar. Here we will pagerank some special places, so that it can get a more in-depth understanding, so that the majority of users can better use and understand Googel.
The historical origins of website rankings
When the network of the early 90 's began to emerge, a large number of sites with special industry content were posted on the internet every day. Web surfers do not have the tools to locate sites that they think exist, but have no way to find a domain name or Web site. By the year 1993, Yahoo was born. Yahoo's birth for netizens to alleviate these troubles. Yahoo initially will each it found the site, according to the classification directory for the Organization, the establishment of a neat, can be a progressive search of the database, Yahoo also placed on the site of a search engine can be based on the existence of the "keyword" search to the site. Then other search engines such as AltaVista, Excite, Lycos and so on have been launched for users to use search tools. Most of them identify the dependencies of the site based on the keywords found in the META tags.
Things seem to be going very well, but when the station owner and network Management realized that you can insert industry keywords or other site codes in meta tags, you can skillfully get a higher position on the search results page when the problem comes. For a while, the search engine's results were messed up by the spam sites, and they flooded the site with some relevant keywords, but the actual content presented to users was really bad. Those highly creditworthy, status-critical search engines are beginning to be challenged, and they must take better steps to accurately output search results for the user.
Google Page level detailed
Google is aware of the problems that traditional search engines face. If the correlation has the network management to control, then the ranking result will certainly be they artificially arranges the numerous related keywords to pollute, masks the true correlation.
The essence of a network is a hyperlink. We logically analyze, everyone let their own site and some important site links, then, in essence, this site voted for each other's votes. When hundreds of thousands of sites linked to this site, we think that this site is a good very important site is very logical.
It is in this logical reasoning, Google's two founder Sergey Brin and Larry Page to establish a search engine algorithm formula, will be the proportion of the rankings to the web unexpected factors. Their formula is named "PageRank" (named after the creator Larry Page). Google uses this formula to calculate the number of sites linked to a particular Web page, and then to give a score of importance from 1-10 respectively. The more sites linked to a Web page, the higher the PageRank score.
