Analysis on Prediction Results and Curve Fitting of Search Engine Based on Boolean Model

Article Preview

Abstract:

Since twenty-first Century, internet technology has the rapid development, the human society entered the era of network economy. Suddenly rising e-commerce occupies half of the country's retail enterprises. How to improve the efficiency of commodity marketing under the environment of e-commerce is one of the hot problems in modern enterprises. In the paper we firstly present marketing strategy under the environment of e-commerce, analyze the basic principle of search engine marketing, analyze the relationship between basic principles under the search engine marketing framework. Combining with Boolean model, we put forward the vertical search engine oriented marketing model under e-commerce environment. In order to verify the practicability of the model based on fitting simulation of autoregressive moving average model, the results show that the marketing mode u is practical, and with scientific decision-making ability.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3872-3876

Citation:

Online since:

May 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Liu Xiaoyan. The e-commerce development of small and medium-sized enterprises from the perspective of the Henan [J]. Era of economic and trade, 2013(5): 35-41.

Google Scholar

[2] Yuan Baoli. Characteristics of search engine marketing and effect [J]. E-commerce and business, 2011(4): 56-60.

Google Scholar

[3] Xiao Aihua. Effect of e-commerce in the development of Chinese market economy [J]. Consumer electronics, 2012(19): 34-42.

Google Scholar

[4] Cui Shiyuan. Travel network marketing based on a vertical search engine [D]. Qiingdao University, 2011: 2-14.

Google Scholar

[5] Zhou Xiaoqing. Study on mid-long term runoff forecasting of Dan Jiangkou reservoir [D]. Hohai University, 2011: 3-16.

Google Scholar

[6] Zhang Jingwei. The search market new favorite-vertical search [J]. Electronic commerce, 2010(5): 56-62.

Google Scholar

[7] Peng Zhenlong. Application of search engine marketing in e-commerce [J]. Journal of Changchun College of education, 2012(12): 23-28.

Google Scholar

[8] Jin Changsong. E-commerce development environment analysis [J]. Heilongjiang social science, 2013(3): 18-23.

Google Scholar

[9] G. Salton, The SMART Retrieval System - Experiments in Automatic Document Processing [M]. Prentice Hall Inc., 2010: 56-78.

Google Scholar

[10] Jiang Zhaogang. Enterprise online lecture series (seven)-electronic commerce [J]. Agriculture network information, 2011(10): 24-28.

Google Scholar

[11] Xia Gaoqiang. Search engine in e-commerce [J]. New West, 2011(3): 45-51.

Google Scholar

[12] G. Salton, M. E. Lesk. Computer evaluation of indexing and text processing [J]. Journal of the ACM, 2010(2): 1089-1097.

Google Scholar

[13] Guo Yanchao. Enterprise network search engine marketing strategy [J]. Modern computer, 2010(2): 56-62.

Google Scholar