Search engine keyword optimization technology based on improved swarm intelligence algorithm
A swarm intelligence algorithm and search engine technology, applied in the field of search engine keyword optimization based on the improved swarm intelligence algorithm, can solve the problems of lack of systematic methods and summaries, and achieve the effects of speed improvement, fast convergence speed, and great use value
Inactive Publication Date: 2017-05-10
SICHUAN YONGLIAN INFORMATION TECH CO LTD
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Problems solved by technology
When studying the relationship between network search keyword search volume data and related problems, which keywords to choose is the key problem to be solved first. After reading the literature, the author found that the selection of keywords is mostly based on experience and subjective factors, and lacks a systematic method and summary
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[0028] In order to solve the technical problems of keyword optimization to realize search engine optimization and the method of realizing the system, combined with figure 1 The present invention has been described in detail, and its specific implementation steps are as follows:
[0029] 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. .
[0030] Step 2: Combined with enterprise product and market analysis, filter the set of relevant keywords found in the above search for dimensionality reduction;
[0031] 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 numbe...
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The invention discloses a search engine keyword optimization technology based on an improved swarm intelligence algorithm. Core keywords are determined according to enterprise service; data items, such as domestic search quantity per month, competition degree and estimation of cost per click (CPC), corresponding to the keywords are searched; dimension reduction processing is carried out on a set of the keywords; each keyword is expressed by a five-dimensional vector, namely, the number of home web pages and the total number of search pages are increased; clustering is carried out through utilization of an improved ant colony algorithm, thereby obtaining an initial solution; a global optimum solution is found according to improved simulated annealing iteration; and finally a suitable keyword optimization strategy is selected according to enterprise condition, thereby achieving a website optimization purpose. According to the technology, the defect that the ant colony algorithm is liable to run into a local optimal solution is overcome, the technology has the advantage of rapid convergence rate, the rank of the keywords of a website can be improved rapidly in a short time, certain traffic and inquiry are provided for the enterprise website, and the ideal website optimization purpose is achieved.
Description
technical field [0001] The invention relates to the technical field of semantic network, in particular to the realization of search engine keyword optimization technology based on an improved group intelligence algorithm. Background technique [0002] People rely heavily on search engines to obtain information on the Internet. Websites can be included and ranked relatively high, and can be accessed by more users. With the rapid development of famous search engines such as Baidu and Google, they have formed their respective More mature sorting algorithm. Search engine optimization (SEO) refers to under the optimization principle of search engine permission, through the reorganization and optimization of code links and text descriptions in the website, as well as the reasonable reverse link operation of the website in the later stage, and finally realize the search engine optimization of the optimized website. Get a ranking boost in the engine's search results. In search eng...
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Login to View More IPC IPC(8): G06F17/30G06N3/00
CPCG06F16/951G06N3/006
Inventor 金平艳
Owner SICHUAN YONGLIAN INFORMATION TECH CO LTD