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Technology for realizing search engine optimization through improved model clustering algorithm

A search engine and clustering algorithm technology, applied in the field of semantic network, can solve the problems of managing keyword optimization strategy, not proposing keyword analysis process, etc., to achieve the effect of large utilization value, reduce optimization workload, and streamline analysis process

Inactive Publication Date: 2017-07-07
SICHUAN YONGLIAN INFORMATION TECH CO LTD
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Problems solved by technology

In the final analysis, SEO is a keyword optimization strategy. Nowadays, there are many theoretical researches and technical applications on keyword optimization at home and abroad, but there is no effective method to simplify the keyword analysis process, and there is no perfect mechanism to manage keywords. Optimizing strategy and progress

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  • Technology for realizing search engine optimization through improved model clustering algorithm
  • Technology for realizing search engine optimization through improved model clustering algorithm
  • Technology for realizing search engine optimization through improved model clustering algorithm

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Embodiment Construction

[0023] In order to solve the technical problems of keyword optimization to realize search engine optimization, combined with Figure 1-Figure 2 The present invention has been described in detail, and its specific implementation steps are as follows:

[0024] Step 1: Determine the core keywords according to the business of the enterprise, and use the search engine to collect relevant keywords. These keywords have corresponding data items in the search engine, such as the monthly search volume in the country, the degree of competition, and the estimated cost per click (CPC), etc.

[0025] Step 2: Combined with enterprise product and market analysis, filter the set of relevant keywords found in the above search for dimensionality reduction;

[0026] Step 3: For the keyword set after screening and dimensionality reduction, search the pages corresponding to the keywords through the search engine. Here, the number of homepage pages and the total number of search pages are recorded, ...

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Abstract

The invention discloses a technology for realizing search engine optimization through an improved model clustering algorithm. According to the technology, a kernel keyword is determined according to enterprise business, data items, such as the search amount per month, the competitive degree and estimated cost per click in the country, corresponding to keywords are searched for, a set of the keywords is subjected to dimension reduction processing again, each keyword is expressed with a five-dimensional vector, that is, the number of home pages and the total number of search pages are increased, then five dimensions are reduced into four dimensions, the improved model clustering algorithm is utilized, a k-type compactness function J is constructed, and a necessary condition most meeting the compactness function J is solved. Through the technology, running time complexity is low, processing speed is higher, a clustering result is accurate, rankings of the keywords can be quickly raised, certain traffic is brought to an enterprise website, and therefore an ideal website optimization goal is achieved.

Description

technical field [0001] The invention relates to the technical field of semantic network, in particular to an improved model clustering algorithm to realize search engine optimization technology. Background technique [0002] With the continuous development of Internet technology and the rapid growth of network information, search engines have gradually become the main tool for users to quickly and accurately find information. Search engine users generally only pay attention to the top-ranking websites in the search result pages, and the click-through rates of these websites are relatively high. Search Engine Optimization (SEO for short) is a company that optimizes the inside and outside of the website based on the working principle of the search engine and on the basis of user-friendliness, so that the search engine can include more web pages and improve the ranking of the website in the search engine. The natural ranking in the website, thereby increasing the traffic of th...

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/9535G06F16/958G06F18/23213
Inventor 金平艳
Owner SICHUAN YONGLIAN INFORMATION TECH CO LTD
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