First calm down, understand the search engine!

Summary: At present, SEO technology posts and articles are all over the sky, but the words are nothing more than a few sentences. Most of the novice in accordance with the brick article guidance, non-stop in doing outside the chain, do links and so on, but often know it but do not know why. Many people have learned the big

At present, SEO technology category posts and articles are all over the sky, but the words are nothing more than a few sentences. Most of the novice in accordance with the brick article guidance, non-stop in doing outside the chain, do links and so on, but often know it but do not know why. Many people learned a lot of SEO technology, has been step-by-order, but do not know why to do so, know a lot of SEO optimization techniques, but never to understand the principles of search engine work, the result is only one, that is ultimately subject to the search engine.

Do anything need to see through the phenomenon of nature, and strive to become the industry principle brother, so as to pass, analogy. In the process of learning SEO is also so, the first step to learn is not those grandiose SEO techniques and techniques, but first calm down, understand the search engine!

The era of search engines

Search engines in the domestic development time is not too long, from the current point of view, mainly through four times. They are classified categories, text retrieval, link analysis, and user-centric age.

1, the classification of the Times

The category directory can also be called site navigation. Webmaster through the manual collation, the different industries of the site classification for users to click. Believe that the age of more than a long time friends have such an experience, the first Internet cafes to learn to surf the web, is not to use the search engine, are through the Internet Café Boss set the default navigation site to make Internet access.

Classification of the advantages of the site is: Each site is a webmaster carefully selected High-quality site, can rely on a higher degree. But Stationmaster energy is limited, lead to derivative is not strong, soon this way cannot keep up with the fast development of the Internet.

2. The age of text retrieval

The search engine is content-centric, so the earliest search engine is to determine the ranking by analyzing the page text. Compared to the site directory, this approach allows search engines to include more pages, through the promotion of search terms and content relevance, but also to meet the needs of more users. But with the rapid development of the Internet, the content of a large number of production, duplication, reproduction and other acts of rampant, light text retrieval and content analysis to determine the quality of the page and determine the page ranking, has not been very good.

3, link analysis times

Search engine mainly by analyzing the link between page and page, calculate the number and quality of the sites linked to the page to determine the ranking order. A bit similar to the voting system, which page has been voted by other sites and whether the authority of the site to vote, it shows that the more attention to the page, more users. /p>

Link analysis can be made available to users by filtering high quality pages from a large number of Web page data. However, with the increasing demand of user personalized search results, it is difficult to satisfy the simple link analysis. In addition, with the spread of SEO technology, do the wind prevalent, link analysis of the quality of the results are also getting worse.

4, user-centric era

The current search engine has begun to make understanding of user needs as the core. For example: Different types of users search for the same word, may not be the same purpose, different places users need to get the results are not the same. It is one of the biggest challenges for the search engine to have a precise understanding of user personalization requirements and to reverse back more accurate content. You can learn more about personalized search results in this article.

At present, the text analysis and link analysis accounted for the weight is slowly falling, especially for the link factor, Baidu has made a very big improvement and adjustment in the past two years.

Second, the search engine's goal

In short, search engine is a bridge between net friend and website, it is a user's entrance. Users search for keywords to find and get useful Web pages. So search engines in order to better meet users, need to achieve three goals: more complete, faster, more accurate.

1, more full.

It's all about crawling the number of pages. Search engines have countless reptiles to crawl Web pages on the Internet, and then use a lot of servers to store data. However, the development of the Internet is still fast, information explosion seems to grow, there are still a lot of information content is the search engine did not crawl or said not to crawl. As a result, search engines still need to strive to do more.

2, faster.

Time is always precious, especially on the internet, generating a lot of new content every second. Only faster, can be updated, more real-time. Crawling, indexing, storing, going heavy, sorting, and so on, need to be faster. This is a huge challenge for search engines.

3, more accurate.

More complete and faster is only a prerequisite and a process, and more accurate is the most critical. Whether indexed, analyzed and sorted, the ultimate goal is to make the user search results more accurate. This is also the purpose of users to use search engines. But it is only quicker and more complete that it is possible to make the results more accurate.

Third, the core problem of search engine

1, what does the user need?

The same search box, the same keyword, the search for people are certainly different, so the results are not the same. What the search engine needs to do is to understand the intentions of different users. It's hard to talk about precision if you can't get the user's real intentions.

To identify the user intent, the search engine can master a large number of user information, and collation and analysis, it is possible to further determine the user's behavior intent. This, of course, is one of the big challenges facing search engines.

2, what information is required by the user?

When the search engine understands the intent of the user, the next step is to return the content that best fits the user's intent in the search results. At this point, the search engine needs to find and match the massive data collected according to the correlation. Search engines have been experimenting with ways to improve the quality of results over the years, but there is no real breakthrough compared to a few years ago. When the search engine can, like AI, really understand the meaning of information content to users, wait and see!

3, what information is worthy of user dependence?

Although the search engine has been able to return the lookup content to the user according to the correlation, but cannot judge the page trustworthiness degree according to the correlation. For example: Search engine through the content of good or bad to decide the ranking, but the text can be forged by the user, then through the link analysis can be patched, but the link may also be the user artificial. For a long time, the search engine will think: The high weight of the site, the content generated on its pages will be credible. Therefore, the longer time of the old site, usually get a better ranking, but in fact, the weight of the old site also has a lot of junk information. So which pages are the content information that users really deserve to rely on? This will undoubtedly require search engines to further improve their intelligence.