Regarding Baidu website optimization, everyone knows that the better the relevance of the website content, the more specific the website will be, and the better the ranking will generally be. This is also the development direction of Baidu. So how does Baidu determine whether two articles are related and how relevant they are? This is not just about the repetition of text on the surface of the article, but also about the semantic association behind the text. Therefore, Baidu is applying the influence of semantic correlation on search engine keyword rankings, and is constantly studying semantic correlation to make it more perfect and promote search engines to be more reasonable. Therefore, the research on Baidu semantic correlation is also what SEOr should study and learn.
Let’s give an example first:
The first one is: "How are Internet companies doing now?"
The second one is: "How to evaluate the quality of website construction?"
Judging by humans, we can tell at a glance that although there are no common words between these two sentences, they are still very related. The development of Internet companies also affects the quality of website construction to a certain extent. Therefore, the development of search engine technology can determine that they are relevant and have a certain correlation, which in turn affects changes in search engine keyword rankings.
Summary of characteristics of Baidu application topic-related algorithms
1. It can measure the semantic similarity between documents. For two documents, you can calculate whether the two articles are relevant and how relevant they are. Of course, the greater the relevance to the theme of the website, the more specific the article content will be and the more powerful it will be for keyword ranking.
2. It can solve the problem of polysemy. The similarity between it and other text is calculated by matching the theme. For example, "search engine optimization" and seo will be considered by Baidu to be the same vocabulary, which is a leap forward in making search engines more intelligent.
3. It can eliminate the influence of noise in the document. Generally speaking, the noise in the document is often in the secondary theme, and we can ignore it and keep only the most important theme in the document.
4. It is unsupervised and fully automated. We only need to provide training documents, and it can automatically train various probabilities without any manual annotation process.
5. It has nothing to do with language. As long as any language can be segmented into words, it can be calculated and its topic distribution can be obtained.
The purpose of writing this article is to introduce Baidu’s new changes and Baidu language-related introductions. Webmaster friends can make full use of these related semantics to improve the direct relevance of the article when updating content, thereby improving keyword rankings. This article is provided by surf website optimization http://www.surfphpseo.com/ . Please indicate the source when reprinting. Thank you for your cooperation.
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