Through analysis of Baidu Word segmentation technology to achieve SEO optimization skills

The author used to do the test of excessive word algorithm, in fact, the word segmentation technology is not Baidu's strengths, but through the third party participle technology applied to their own site search, participle is mainly through the word and function words of the division, to find useful for the users of terms such words are often called keywords, through the understanding of Word segmentation technology, Let us be able to effectively upgrade the Site keyword designation, but also to help improve the ranking of the site!

Usually the word segmentation algorithm is for Baidu, Google because of the word segmentation technology is not sensitive, so in the Chinese search market, Baidu has always been the leader, the results of return are often more useful to users, so we do site optimization if the main target is Chinese groups, then understand the Baidu's word segmentation technology is very necessary! Below we will be specific to explain the word of Baidu participle technology!

Generally speaking, Baidu Chinese word segmentation is based on the dictionary and Statistics of the two matching methods, these two approaches are not alone, but the mutual influence of each other!

　One: Dictionary-based matching method

This is based on the user's search terms according to the words in the dictionary to split, if you can match the success of how to cut into a word, and then according to the direction of the different, the word into a positive and reverse the two matching methods, in the positive match, It can be divided into two ways: the maximum matching and the least matching according to the length of the words. This word segmentation technology is mainly based on the integrity of the dictionary and the latest updates!

For this word segmentation technology, we are doing SEO optimization, in the home page target keyword Choice must combine this aspect principle, cannot artificial word, unless you can create "The god horse All is the cloud" to be able to red all over the North and south the word, otherwise it is very difficult to obtain the flow, even if you can elevate the website rank to the homepage, That's not going to work! And for unfamiliar words, Baidu's search results may not return results, your site will not be included, so the choice of keywords must be based on common words, according to the dictionary words to choose!

　Two: The method based on statistical participle

This method of Word segmentation technology, will require a large number of search engines to calculate, for example, the probability of adjacent words and words, where a phrase appears in the most, users search for a word or word will look for what kind of content, this is the search engine based on the criteria of judgment, this method can quickly respond to new words, For example, when a news hot word appears, many people will use this new word to search the word, such as Xiao Yue month, such as medicine Jia Xin and so on, if the search engine on these words indifferent, then users will certainly not use such a garbage search engine!

In this case, we can do SEO optimization, to fully consider the relevance of the content, we simple that A5 site to do an example, when A5 first appeared, the search engine certainly do not know what this word, when everyone uses the word A5 search, and all want to find is ADMIN5 this site , the natural search engine will be calculated with their own statistics, and then can be A5 as a admin5! This is a relevance of the magical effect, there is a donkey nets to net, is also the use of Word segmentation technology to play a very beautiful battle!

About the word segmentation technology we discussed this, although relatively simple, but for us SEO optimization staff still have a certain reference significance! Hope that everyone can easily complete the search engine optimization, so that their site as soon as possible to achieve profitability! This article by the left-carnitine side effect original A5, URL: http ://www.jianfeizhan.net reprint Please specify.