Original title: Empire CMS Spider Plug in - Website Spider Grab Query Analysis Tool Free
The Imperial CMS spider plug-in, why should we install the Imperial CMS spider plug-in? A qualified SEO must know how to analyze the spider situation of the website. The Imperial CMS spider plug-in allows us to analyze the access interval frequency of the major search engine spiders, as well as the most favorite pages of spiders, so that you can accurately analyze the "favorite" degree of the search engine spiders to your website pages. Updating articles on the most popular pages of spiders will speed up the collection of websites. How to analyze spider logs with one click by multiple websites!
It is very helpful for SEO practitioners to understand how to crawl, establish cable bow and ranking mechanism, which can help them determine what actions to take to achieve their goals.
In order to provide the best search results, search engines need to search all public pages in the network, and then present them to search users on the pages most relevant to their search terms. The first step of this step is to crawl the network. Search engines start with a group of high-quality seed websites, and then visit the links in each page of these websites to find other pages.
The link structure of the network is to connect all public pages together through links to other pages. Through links, the automatic robots of search engines, called web crawlers or web spiders, can access billions of linked documents.
People are used to getting answers from search engines immediately after they submit a search request. In the previous article, we also discussed the number of queries (more than 7, 500 per second). As early as 2008, Google had access to one trillion pages in the network. With the SMX upgrade in Seattle in 2014, Google's Gary Lyes pointed out that Google now has 30000 trillion pages. The speed of the Internet is getting faster!
The basic problem with all these pages is the complexity of the network itself. Web pages include text, video, images, and so on. It is easy for people to understand this information and make seamless transition to it, but software is not as intelligent as we are. This and other restrictions will affect how search engines understand the pages they handle.
Of course, this is a constantly changing field. Search engines are constantly improving their ability to process web content. For example, advances in image and video search have made search engines closer to human understanding
The search engine will load other pages and analyze the content. This process is repeated until the end of the crawling process. This process is very complicated, because the network itself is very large and complex.
Note that search engines do not attempt to crawl the entire network every day. In fact, they may realize that they should not crawl certain pages, because these pages may not be important and cannot be presented to users as search results. The first step in this step is to create an index of terms. This is a huge database, which classifies the important terms of every page crawled by search engines.
The first step in this step is to create an index of terms. This is a huge database, which classifies the important terms of every page crawled by search engines.
Many other data have also been recorded, such as a map to which every page is linked, the clickable text (i.e. anchor text) in these links, whether these links are advertisements or other content.
In order to complete the huge task of storing thousands of trillions of pages of data in milliseconds, search engines have created a large number of data centers to process all these data.
One of the key concepts in creating a search engine is to determine where to start crawling from the web page. Although theoretically you can start from many places on the Internet, you'd better start from a group of trustworthy websites.
Starting from a group of famous and trustworthy websites, search engines can measure the trust they should give to other websites they encounter in the process of crawling. We will discuss in more detail the role of trust in the search algorithm "how links affect search engine ranking in history".
Search engines put a great weight on the content of each page. After all, only the content can determine the information of the web page, and the search engine will conduct a detailed analysis of each web page encountered in crawling before making the final decision.
You can think of it as a search engine to analyze all the words and phrases that appear in the web page in detail, and then create a data map, so that when users enter relevant search query words, they can use this map to determine the position of the page in the search results. This map is generally called semantic map, which is used to determine the relationship between these concepts so that search engines can better understand
How to correctly match web pages and users' search queries.
If there is no corresponding content semantic match for a certain query term, the possibility of this page appearing in the search results will be very small. Therefore, the words you put on the page and the "main body" of the page play a key role in ranking.
Understanding search results
In the field of search marketing, the returned search results of search query entries are also called search engine results pages (SERPs). The format of the search results returned by each search engine is slightly different, including vertical search results - results that may be obtained from other data or presented in different formats on the search results page. Go back to Sohu to see more
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