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

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...

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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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