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Statistical computing-based website search engine optimization method and system

A search engine and statistical computing technology, applied in the field of web search, can solve problems such as boring, large amount of data, and cumbersome work, and achieve the effect of saving time and response speed.

Active Publication Date: 2016-09-07
广州天趣网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, traditional SEO requires a lot of analysis on website access statistics, extracting useful keywords, setting titles and introductions for URLs, and sometimes promoting friendship links for excellent URLs, promotion effect and SEO response speed closely related
For example, for a hot event, the freshness period is only a few days, how to rank the relevant content to the forefront of the search engine in the first time, this is a problem related to thousands of traffic, and it must be discovered in the first time Excellent keywords, it is very cumbersome and boring work to modify the excellent keywords in the title or introduction at the first time, and to link the excellent url to the site at the first time. The amount of data is large and very cumbersome, and the whole process is basically done manually, the operation is cumbersome and there will be omissions

Method used

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  • Statistical computing-based website search engine optimization method and system
  • Statistical computing-based website search engine optimization method and system
  • Statistical computing-based website search engine optimization method and system

Examples

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Comparison scheme
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Embodiment 1

[0067] See figure 1 as shown, figure 1 It is a flow chart of the website search engine optimization method based on statistical calculation in the present invention, and also a flow chart of step S1, and said step S1 includes:

[0068] S11: Obtain the access records and search engine reference records of the website url at a specified time by using the capturing program.

[0069] Here we mainly use the capture ability of the program compiled by javascript (Java script language) embedded in the website to capture the access records and search engine reference records of the URL at a specified time, and make statistics. The search engine reference records include user The keywords used to access the desired web page through the engine. By counting the search engine reference records, we can determine which search engine and which keywords the user uses to arrive at the page to be searched.

[0070] S12: Store the statistical url information and search engine reference records...

Embodiment 2

[0076] See figure 2 as shown, figure 2 The flow chart of the automatic calculation of the present invention is also the flow chart of the step S14, and the step S14 includes:

[0077] S140: Check the update frequency, and execute step S142 if the update frequency is reached, or execute step S141 if the update frequency is not reached.

[0078] The title and introduction can be manually set to update the frequency, such as updating once every 3 days.

[0079] S141: Provide the title and introduction information used to search the web page last time.

[0080] S142: Determine whether the algorithm is locked, if locked, execute step S143, and if not, execute step S144.

[0081] S143: Provide the title and introduction information used in the last search for the web page.

[0082] Considering that the title and introduction need to be updated, but when the url drops to a certain level, the algorithm will be locked, and the system will stop the algorithm program of keyword rec...

Embodiment 3

[0100] See image 3 as shown, image 3 It is a flow chart of linking and calling in the present invention, and the step S2 includes:

[0101] S21: Regularly update the link text, regularly check the title of the url in the link every day, and modify the most important keyword (the first one) in the title to the link text of the url.

[0102] The url in the link is the result of the step S14.

[0103] S22: When the webpage program calls the link interface, the system will provide the latest url and link text list in json format for use by the caller.

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Abstract

The invention discloses a statistical computing-based website search engine optimization method and system, which are used in the technical field of webpage search. The method sequentially comprises the steps of performing statistics on website traffic and input words to compute a title and description information of a website page; and applying the computed title to a link text of a url, and during search, and calling a new url automatically provided by the system through a webpage program to enable a user to quickly search out a required webpage. The system comprises an automatic computing unit and a link unit that correspond to the steps in the method. Only when a website is online, a rule is set and the system can automatically perform computing and generation of the title and brief introduction information according to the input words of the webpage or searched keywords; and the whole process runs fully automatically without manual intervention, so that the response speed is high and the time is saved.

Description

technical field [0001] The invention relates to the technical field of web page search, in particular to a method and system for website search engine optimization based on statistical calculation. Background technique [0002] With the rapid development of the Internet and related technologies, people's lives are more and more closely connected with the Internet. At present, in the process of work, study and life, people will consciously go to Baidu to search for the answers they think of. Recommending to customers has become an important topic. SEO (Search Engine Optimization) is an important method of website promotion at present. The use of SEO improves the speed of users to lock in the required websites, and also provides an important way for companies to recommend their own websites to customers. [0003] However, traditional SEO requires a lot of analysis on website access statistics, extracting useful keywords, setting titles and introductions for URLs, and sometim...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535G06F16/9566
Inventor 夏乐勇
Owner 广州天趣网络科技有限公司
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