Zone Indexes algorithm is a search engine algorithm that divides web pages into regions and gives them respective weights. Search engines will combine this algorithm with other denoising technologies, such as the VipS algorithm, to "denoise" the content of a website and assign weight to each area, thereby displaying the truly valuable content of the webpage.
As mentioned in the previous article about search engine algorithms, "The Derivative Application of TF-IDF Algorithm in SEO". This blog is SEO-themed and involves the IR field just to let everyone better understand search engines, so as to achieve the purpose of improving website optimization effects. Therefore, this article uses simple and easy-to-understand language to introduce the derivative applications of Zone Indexes in the field of search engine optimization.
Zone Indexes algorithm SEO definition
The Zone Indexes algorithm, let’s temporarily translate it as the “Zone Index” algorithm (big names in the IR field are welcome to correct translation errors), is a kind of partitioning of websites or web pages at the structural level in website standardization, and then assigns weight to each area. algorithm. We use a simple example to understand this algorithm. Assume that a web page contains only three pieces of content, namely title, description, and content text. At the same time, assume that the weight given by the search engine to the three areas is 0.3, 0.1, and 0.6 points:
Title: 0.3 points
Description: 0.1 points
Content: 0.6 points
Now as a user, we type "Boolean algorithm" into the search engine. Taking this article as an example, the weight it gets is:
Title: "Zone Indexes Algorithm and Website Weight Division", "algorithm" appears once, and scores 0.15 points
Description: Zone Indexes is a search engine algorithm that divides web pages into zones and gives weights to them respectively... "Algorithm" appears once and scores 0.01 points
Content: Now as a user, we type "Boolean algorithm" in the search engine. Take this article as an example... The appearance of "Boolean AND algorithm" will score 0.6 points
Total: 0.76 points
That is, my article refers to the Zone Indexes algorithm rather than the Boolean algorithm, but because the word "algorithm" meets the search requirements, without the influence of other weight factors, this article is still related to the index words and should appear in in search results.
However, the search engine's application of the Zone Indexes algorithm is far from simple - it distinguishes on a web page basis. I wrote in the article "The Impact of Overall Website Standardization on SEO" in the structural level of SEO:
The structural level refers to the HTML language that makes up the website. For example, we often use h1-h4, strong, a, img tags, etc. when doing SEO work. Search engines can see and analyze these tags. These tags also tell search engines the direct relationship between the content on a certain website.
We know that an ordinary website has at least the following areas:
header area
content content area
footer footer area
A more complex website will have the following areas:
nav navigation area
sidebar sidebar area
commentsComment area
link Friendly link area
The internal structure of large websites is even more complex. Unlike VIPS, which distinguishes visually noisy areas, Zone Indexes de-noise the website in terms of structure, such as:
Content is the most important area. Generally, the area marked as content in a div is the area with the highest weight given by search engines. Secondly, header, because this part has the title and description, and these contents also play a vital role in indexing the website.
Generally speaking, nav navigation and sidebar are not that important, while footer and comments area are generally noise areas (as well as link links, ad advertisements, etc.).
In HTML5, this semantic-based website structure is further strengthened. We know that HTML5 already directly supports tags such as article, audio, body, and footer.
Zone Indexes algorithm SEO examples
Here we look at an example of using the Zone Indexes algorithm to perform SEO on a website. The case comes from the famous Yahoo (this example is also an example that many SEO experts like to use when analyzing website structure).
We open the website http://autos.yahoo.com/ and view its source code. Near the footer, we find this piece of code:
For search engines, after they divide the website into regions, they need to decide which parts are important and which parts are unimportant, and then assign weights to the corresponding regions. In addition to the division by id or class mentioned above, they will also adopt a "text code ratio" method. Because in some cases, even the content in the footer may not be unimportant.
Because of writing and programming reasons, if in a piece of content, the text + pictures are much larger than the code, then this piece of content can be considered important. On the contrary, if the code content is larger than text + picture, then this content is not important.
That makes sense and is logical and practical, doesn't it?
When Yahoo marks related areas, the upper area is the description and the lower area is the link. How can we prevent the area below from being considered a "noise area" and unimportant by search engines, and then being discarded? Yahoo's approach is to add a "related" area, that is, a related recommendation area, to connect the upper and lower areas, and then yat -pseo-foot is used as a whole content for search engines to crawl and include. Avoid the "noise cancellation" processing of search engines.
After understanding the above SEO examples based on the Zone Indexes algorithm, we also need to learn an SEO skill: do not add too much HTML code to the position you want to highlight, in case there is a problem with the text code ratio and it is judged as noise by search engines. district. For example, the whole screen is filled with the "text" of the link and the "footer" of the anchor link.
Through the Zone Indexes algorithm, we can understand some basic knowledge about the division and weighting of website areas by search engines; using this knowledge can help us highlight the core content of the website and reduce the search engine's determination of the noise area of the website. These algorithms and knowledge once again highlight the importance of the internal structure of the website.
This article was originally published by Yang Fan on Yang SEO. Please keep the link for reprinting:
http://www.seoyangs.com/zone-indexes-weight-divided.html
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