to tell the truth, although did SEO so long, and before also read Pandahai about the Web page signal-to-noise ratio analysis, but I have not been to this question in-depth thinking, today read Peng about the Web page signal-to-noise ratio of the article, Lenovo to the previous days also have their own ears Hu Baozhe mentioned the concept of signal-to-noise ratio. So I deliberately discussed the problem carefully.
On the definition of signal-to-noise ratio, it is defined as: the ratio of the content of the content of the text in the Web page to that of the HTML tags generated by the generation of the text; Xiaopeng believes that should be more broadly understood: The text in the Web page and various factors (including pictures, flssh,css and other links) and Web page HTML tag content ratio.
So for the above two definitions, I still think it is very inappropriate, not grasping the essence of things. Whether it is the acoustic aspect for the definition of signal-to-noise ratio or the signal-to-noise ratio in the data communication field, when defining concepts, the comparison between useful information and interference information is emphasized. For example, data communication field for Signal-to-noise ratio (n) The definition is the ratio of information to noise. So analogy to search engine retrieval field, the definition of content signal-to-noise ratio of Web page should still be the ratio of useful information and jamming information.
In terms of the comparison between useful information and interference information, the two definitions mentioned previously were that the text in the Web page (or other factors such as pictures, FLSSH,CSS, etc.) became useful information, and the resulting HTML tag content subtracted the useful information as spam. This is obviously too far-fetched. Is the search engine can recognize the text information must be useful information??? And the other information is interference information?
So the key to understanding signal-to-noise ratio is what is useful information and what is interference information.
And for that, I understand: Search engines have a basic sense of what they're grabbing, and they judge the content of the page and all possible keywords and sort it. Whether it is useful information and useless information, for search engines, is for the specific keywords. So the signal-to-noise ratio of a Web page should be distinguished from the signal-to-noise ratio of a particular keyword. The signal-to-noise ratio of a specific keyword is the ratio of information and interference information in a Web page to the retrieval of the keyword. And the signal-to-noise ratio of the Web page is the core keyword of the page signal-to-noise ratio.
If there is a search engine in the Web page that does not have any relevance to a search term (that is, the search engine cannot determine the relationship between the content and the search keyword), then the content is both interference information for that keyword. These jamming messages may include flash, images, and lengthy paragraph texts that are not related to the keywords. Similarly, the interference information of Web pages is the interference information of the core keywords of the webpage.
For Flash, pictures, JS and other search engines can not identify things, for any keyword is included in the interference information. Moreover, for more text content site, signal-to-noise ratio and keyword density concept is relatively close. As for the specific HTML code statement symbol, I think for the search engine, its impact on the site rankings, more is the impact of the site code reasonable and correct, affecting the speed of the site's access. Instead of being listed as jamming information by search engines, it affects rankings. So, I can also predict that if the extra code is not too much, causing the page to go wrong or not meet certain standards or make the Web page file too large. The impact on rankings can be almost without consideration. In general, search engines are directly ignoring these code symbol statements, and never in which search engine search results in the HTML of those statements defined symbols appear.
The concept of signal-to-noise ratio discussed above, embodied in the specific search engine optimization operation, is the need to pay attention to the core keywords of the Web page signal-to-noise ratio, and not likely to consider all the possible keyword signal-to-noise ratio. For a more reasonable site, search engine can through the site of the Title,meta to identify the core theme of the Web page, then the page in the paragraph with the title and meta echoes of the content is very important, these content may be listed as useful information, then some other information, although the text , but if it is lengthy and irrelevant to the title meta, it should be decisively discarded or related. Otherwise, directly increase the site's core keyword Signal-to-noise ratio.
There is also a need to note that the design of web pages need to consider how to let search engines identify core keywords and topics. If the search engine even difficult to understand the subject, then the Web page signal-to-noise ratio is meaningless. How to let the search engine identify the core keywords and topics, is another topic, the day again. Of course, the idea of this article tasted without practical proof, put forward to guide everyone to think about it.
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