Webmaster can not unknown keyword ranking algorithm

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Keyword ranking algorithm is the majority of seoer concerns, every day in order to site traffic and keyword ranking and strive to do we really know these algorithms?

We know that the Site keyword ranking is not a single side can do a good job, it is a comprehensive operational skills. And the site keyword ranking algorithm rules is to guide our technical implementation of the theoretical basis. Before the author D.J. that as long as the understanding of these algorithms can be ranked to promote the search engine home page, but the results are not satisfactory, because we see the search engine to give is not our own to find. Or, in fact, we see the article and some of the operations are all subjective speculation and did not get the conclusion of the confirmation, so many seoer are in the tangle is clearly in accordance with the rules to carry out, why the rankings have been slow to progress?

And today I want to share with all of you are those we think has been thoroughly, but actually a smattering of potential keyword ranking algorithm.

First, the impact of the search engine "first impression" of Chinese word segmentation algorithm.

The website title is the authoritative part of the whole website, and it is the most important part of our website keyword ranking optimization. And here also hides the ranking of an important algorithm-participle method. When we write the title, the first thought is the matching degree and relevance of the keyword and industry. The matching degree is to let the user search can be related to the site title of the words as far as possible, but how to determine its consistency? This is related to the search engine Chinese word segmentation, and English, Chinese phrases according to the different meaning of the breakpoint is also different. Similarly, we know that the search engine database is not a, let the keyword in the search for the first time before the user will be satisfied with the search engine Chinese word method. Generally speaking, according to the word volume analysis and Database thesaurus contrast to do, and used to do the value of the program to reduce the form of automatic division, we can not fully know, but its main reference or in the user search, so the Chinese Word segmentation method and user search closely related.

Second, the impact of the search engine "subjective selection" of the merger related principle.

In mathematics we have studied merging similar, and in the database thesaurus of search factors, in order to facilitate the user search experience, so that users can get the information they want in a short time, the search engine will automatically put the information related content together, when the search for some words, we can find in the search engine's right there are related recommendations , these are mostly put together, to conduct a guided click to meet the user experience information content. In addition, in the content of the recommendation, for example, we search for "Apple", we can find that there will be Jobs's recommendations, because the user at the same time search for high frequency, the search engine will think its correlation is higher. This kind of horizontal correlation differs from the same industry, and is vertically correlated with the combined data for.

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