关键词: 搜索引擎优化, 网络, 宣传机, 主题词, 匹配

Abstract: Due to low productivity and low efficiency, artificial processing holds back Search Engine Optimization (SEO). In order to deal with it, a network propaganda machine model based on SEO analysis was proposed, and its main idea, key algorithms and working flows were described in this paper. Further, backward spider technology was utilized to collect sorted information and to search optimized key words by matching operations worked in an overlay space. Then, Monte Carlo algorithm was atopted to estimate all characters and to prove the accuracy and efficiency. The simulation comparisons show that the proposed model has better sort performance and clients satisfaction than the traditional one.

Key words: Search engine optimization, network, Propaganda machine, Subject, matching