Fuzzy c-means algorithm based on Bayes for achieving search engine keyword optimization

A technology of search engine and mean algorithm, applied in the field of semantic network, can solve the problems of management keyword optimization strategy, which has not been proposed, and has not been perfected, so as to achieve the effect of large use value, reduced impact, and fast processing speed

Inactive Publication Date: 2017-08-04
SICHUAN YONGLIAN INFORMATION TECH CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, 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 keyword optimization strategy and progress

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  • Fuzzy c-means algorithm based on Bayes for achieving search engine keyword optimization
  • Fuzzy c-means algorithm based on Bayes for achieving search engine keyword optimization
  • Fuzzy c-means algorithm based on Bayes for achieving search engine keyword optimization

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Embodiment Construction

[0026] 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:

[0027] 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. .

[0028] Step 2: Combined with enterprise product and market analysis, filter the set of relevant keywords found in the above search for dimensionality reduction;

[0029] 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 recorde...

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Abstract

The invention relates to a fuzzy c-means algorithm based on Bayes for achieving search engine keyword optimization. According to enterprise business, kernel keywords are determined, and data items such as a domestic search volume per month, a competition degree and an estimation cost per click corresponding to the keywords are searched for, wherein the process is shown in the description; a keyword collection is subjected to secondary dimensionality reduction processing, every keyword is expressed by a five dimensional vector, that is to say, the page number of a home page and the total search page number are increased, and then a five dimension is reduced to a four dimension; the keywords are clustered by the fuzzy c-means algorithm based on Bayes, and according to enterprise specific situations, an appropriate keyword optimization strategy is selected; according to the algorithm, on the basis of Bayes, combining with the fuzzy c-means algorithm, a classification result can be more consistent with an empirical value, the influence of an isolated point is avoided, early convergence is avoided, it is avoided to fall into a local optimal solution, meanwhile the complex rate of the operation time is low, the processing speed is higher, and the keyword ranking can be improved quickly.

Description

technical field [0001] The invention relates to the technical field of semantic network, in particular to the realization of search engine keyword optimization based on Bayesian fuzzy c-means algorithm. Background technique [0002] With the rapid development of the Internet economy and the in-depth popularization of the Internet, search engines have become a very important stage for enterprises to display themselves. Many enterprises, especially small and medium-sized enterprises, choose low-cost, easy-to-operate websites to rank their websites. Easy, SEO-friendly way to match user search preferences. At present, the theoretical research on search engine optimization methods is relatively rich, but there are very few people who use empirical evidence to analyze the effects of search engine optimization methods. How to obtain a better natural ranking in search engines, increase the exposure rate and conversion rate of the website, and finally realize direct sales are the fo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/951G06F16/958G06F18/23213
Inventor 金平艳
Owner SICHUAN YONGLIAN INFORMATION TECH CO LTD
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