The important factor of search engine ranking of participle technology

Many webmasters are trying to get a good ranking by SEO for their website, and then search various SEO techniques on the web. Although there are a variety of SEO technology on the web, but these technologies can be said to be various, there is not a standard, and even often see a variety of views are relative, and sometimes more is a public said that the rational, the woman said that the rational, make a lot of us webmaster do not know what to listen to, had to put their station as a mouse to do the experiment, The most often do not outweigh the gains! In fact, we do SEO best to understand some basic knowledge, these are like the cornerstone of a building, you see only high-rise, but no cornerstone, high-rise is not stable ~! today we will talk about search engine ranking one of the cornerstone: participle technology.

Now the site is flying, and the rubbish station is everywhere, SEO said is a very simple technology, it is only relative to what doctor, math experts to simple, if you call a worker to do that is a complex technology, good not to say so much now about SEO articles, online also wrote a lot of, But are some things actually can not touch, today I would like to talk about a useful thing, but also in order to let everyone BS some of those casually sent a little article is called SEO Technology! Today, I mainly talk about a keyword ~ now as long as the people who are doing SEO know the importance of keywords, But a few people know how much weight you own keywords, search engines and how to include your keywords, today we will mainly talk about the keyword Word segmentation technology.

First of all we have to do is to determine their own key keywords! take "talent net" "Talent Network" as the keyword metaphor! If you do not study the word segmentation, we may not see the difference, but if you put the search inside Baidu can be seen inside the problem, Baidu to "Talent Network" Talent Network "Two word segmentation results are not the same, this is because Baidu has its own library thesaurus, search results we have seen the" Talent network "as a whole, not be split and" Talent Network "is split into" talent "and" network "two different words, Such people in search of talent network must be unable to find the "Talent Network" page.

Today I first of all, Baidu participle of the standard participle rules, here we will be "China set up 60 years" this keyword as an example:

First of all, the word "China" appears first in your body. Then the keyword on the page "China's 60 Anniversary" will be divided into "China" "60 Anniversary", if so, the search for people only enter the "China" "set up 60 years" one of them to find your site, If the input is 60 years of China's establishment can not find your site! The point to note here is that if you are the "60 anniversary of the founding of China" This keyword, then you are the URL should appear with this keyword matching content, if the keyword in your URL has the words, Then your collection will have more advantages than no keyword matching!

I'm talking about a problem that doesn't exactly match the keyword, such as "China's 60 Anniversary", this keyword appears in the form of participle in two pages,

Page A only the first occurrence of the current participle is "China", this page has not appeared "60 Anniversary" of this participle.

Page B appears in the "China" "60 Anniversary" of the 2 participle, the text of the first occurrence of the current participle is "the establishment of the 60 anniversary." Although page B is in the exact case of the keyword match, but a page will be in front of the B page, here I just want to remind you the importance of the first half of the keyword.

Believe that most stationmaster have heard a kind of technique, some also have quite understanding. In fact, the word segmentation technology is not advanced, although some of the operation of the image, but he should be better understood. Participle is to cut a string of character sequences into a single word. Word segmentation, including English participle, Chinese participle, and so on, we mainly speak of Chinese participle (Chinese Word segmentation). Chinese word segmentation is widely used, especially in search engines, its main purpose is to http://www.aliyun.com/zixun/aggregation/18447.html a piece of text "> Text mining, so that the computer automatically recognize the meaning of the statement." So we are not difficult to understand why we in Baidu, Google these search engines to enter some text, they can provide a similar number of results let us refer to the choice. In fact, these engines can be too much word technology to the information you lose the word, to achieve "understanding" the information you want the "true meaning." Although sometimes the computer results are not what you want, but this is unavoidable, sometimes may be your expression is wrong, sometimes it may be the search engine participle is not perfect.

In the word segmentation technology, one of the common index methods used by developers is called TF (term frequency–inverse document frequency), which is a commonly used weighting technique for information search and information mining. of which TF frequency (term Frequency) refers to the number of times a given word appears in the file, and the main idea of the IDF as an anti-document frequency (inverse document Frequency) is that if fewer documents contain entries, the larger the IDF, the better category-distinguishing ability of the entry. Using TF, you can calculate the importance of a keyword in an article, and thus identify the main meaning of this article, and realize the function of the computer to read the article. This technique is straightforward and uses these metrics to determine how important a word in a piece of information is. In search engines, these metrics are used to rank the information you are looking for. We as seoer, in turn, can be learned that if we can have a certain understanding of the word segmentation technology, in the setting of keywords, descriptions, articles, labels, you can combine the common people's search habits, word weight, and then scientifically organize these keywords, or description and so on. To achieve your layout of these words is precisely the industry's search engine concerns, friends use most of the search keywords. In this way, your settings will play the most effective!

Word segmentation technology is generally through a number of words, the use of ordinary people's habits, the passage of a distinction between the understanding. There are a lot of words that people get used to: Chinese, eating, and hospitals. There may be some new words that have not been seen before, but the development of society these words are used more and more, such as the development of it has emerged a large number of well-known enterprises: such as Microsoft, Sina, and so on, these are not a word in the traditional vocabulary, but in the development of these have become a common use of vocabulary, will also be incorporated into the word segmentation system. In a word, participle is an analytic means of people's life idioms. Today we will first talk about these theories, hope to play the role of the guide, next time I will continue to illustrate the use of these technologies and skills, this article by the Www.sn999.net Webmaster original, turn pick please retain to show respect, thank you!