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

A mean algorithm and keyword technology, applied in the field of semantic network, to achieve the effects of fast processing speed, low runtime complexity, and easy parallel implementation

Inactive Publication Date: 2017-06-27
SICHUAN YONGLIAN INFORMATION TECH CO LTD
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Realization of keyword optimization based on fuzzy c-mean algorithm of ant colony
  • Realization of keyword optimization based on fuzzy c-mean algorithm of ant colony
  • Realization of keyword optimization based on fuzzy c-mean algorithm of ant colony

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to solve the technical problems of keyword optimization to realize search engine optimization, combined with figure 1 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 recorded, that is...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/35G06F16/951
Inventor 金平艳
Owner SICHUAN YONGLIAN INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap