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In search engine technology, there is a very important concept, but in the popular SEO tutorial rarely seen, this concept is the Web page feature vector
Eigenvector is a concept in linear algebra, which can be consulted on related books.
1, what is the Web page feature vector?
The so-called Web page feature vector is through the analysis of the content of the Web page, through the processing of Word segmentation technology, find out the most important to the content of the Web page phrases, words and words, they are arranged in a certain order, it constitutes the content of this web page "eigenvector", "eigenvector" can be seen as a lossy compression of the body of the Web page information, But he is generally adequate in content.
2. The Revelation of Web page feature vector
Using the Web page feature vector to replace the text of the Web page is a principle of search engine technology. Search engines don't care about the specific content of each page, but only whether the content is part of a theme or a category. Therefore, search engines can only infer the classification of articles, the article's keyword group and the characteristics of the article, can not appreciate the feelings of the article. If you want to express a very important keyword, please do not the whole article is a metaphor!
3, how to increase the characteristics of the Web page to make your page more forward
In general, depending on the way the search engine indexing the following aspects to note:
A, the time dimension of the URL; B, the topic of the webpage; C, the subject of the content; d, using distributed keywords or long tail key times to increase page features
The search engine implements the characteristic vector computation to the webpage more is the mathematics computation, the different search engine uses the algorithm to be dissimilar. However, in the implementation of the Web page feature vector calculation process is not the most basic algorithm, but participle technology!