Introduction of third-generation google ranking search engine technology

Seo recently released an analysis comparison between google's third-generation search engine and p2p search engine. After seo analysis, p2p search engines cannot shake the dominant position of traditional search engines. They can only be referred to as future technologies. However, seo believes that both traditional search engines and p2p search engines must be intelligent and be able to understand the high technology of all transactions in the world.
 
According to seo analysis, although the second-generation google ranking search engine is better than the first generation in terms of search speed and extension of multi-language information, we have also made some explorations in using natural language as the query language. However, with the strong development of the Internet, the contradiction between the huge digital information on the Internet and the ability of people to obtain the required information is becoming increasingly prominent. According to a report released in the second half of 2001 by IDC, google's ranking search engine technology, widely promoted in the early stage as "easy to use, rich search results", is being replaced by a more centralized Lan, because the performance of most search systems is too different from the user's expectations, multimedia information such as video and audio retrieval with high data volume growth still cannot be broken through.

Generally, public search engines can only find the HTML format. The main reason is that Spiders, the search engine's automatic sorting software, can only accept webpages in this format. This means that, on the enterprise's internal LAN, any information without HTML format cannot be found by external search engines. This is why information in databases such as PPT, Word, PDF, and email files, as well as ERP, CRM, and other application software, has been "sunk" on the bottom of the information.
How to solve these problems has become the direction of the third generation search engine exploration. A good search engine is no longer measured by the database size, update frequency, search speed, and multi-language support. As the database capacity expands, how to precisely find the right information from a large database is recognized as a key point of competition for the next generation of search technology. For example, if a search engine queries the word "tourism" and returns more than 1 million pieces of information, assume that a person can view a webpage in 3 seconds, even if only 10% of the webpages are viewed, it takes more than 10 hours to watch the video continuously.
Fortunately, google's ranking search engine technology is developing rapidly. New engines with intelligent and personalized features are significantly different from those of previous search engines. Intelligent search can improve the accuracy of search results by automatically learning the relevance of search content. However, there is no practical way to achieve intelligence, and it is difficult to display the required information in the search results on the first two or three pages.
Another notable search technology is the application of P2P technology to web page retrieval. By sharing files, directories, and even the entire hard disk on all hard disks, you do not need to use a Web server when searching, and are not restricted by the information document format, it can reach the unparalleled depth of traditional directory-based search engines (traditional engines can only reach 20% ~ 30% of network resources ). I5 Digital, an emerging search engine design company in the United States, launched a commercial search engine Pandango (www.pandango.com) based on the concept of peer-to-peer search two years ago, but it has not yet entered the mainstream search engine lineup, it indicates that P2P search can only be called a future technology.