Realization of keyword optimization based on fuzzy c-mean algorithm of ant colony

Abstract

The invention discloses realization of keyword optimization based on a fuzzy c-mean algorithm of an ant colony. A realization process comprises the steps of determining core keywords according to enterprise businesses, and searching for data items corresponding to the keywords, wherein the data items include a domestic monthly search volume, a competition degree, an estimated cost per click (CPC) and the like; performing dimension reduction processing on a keyword set, namely, increasing the number of home pages and the total number of search pages to reduce five dimensions to four dimensions, wherein each keyword is represented by a five-dimensional vector; performing clustering on the keywords based on the C-mean algorithm of the ant colony; and according to specific enterprise situations, selecting a proper keyword optimization policy. According to the realization process, an activity law of the ant colony and a k-means clustering algorithm are combined, so that data is more scientific and an obtained result is more intuitive; and meanwhile, the running time complexity is low, the processing speed is higher, the premature convergence is avoided, and the keyword ranking can be quickly increased, so that 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 ant colony-based fuzzy c-means algorithm to realize keyword optimization. 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. Many enterprises, especially small and medium-sized enterprises, choose the search engine optimization method that is low in cost, easy to operate, and in line with user search preferences in order to make their websites rank high. 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...

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Problems solved by technology

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.

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