Search Engine Optimization Based on Algorithm of BP Neural Networks

Author

Wang, Shuo ; Xu, Kaiying ; Zhang, Yong ; Li, Fei

Author_Institution

Sch. of Vocational Educ., Jilin Teachers´´ Inst. of Eng. & Technol., Changchun, China

fYear

2011

fDate

3-4 Dec. 2011

Firstpage

390

Lastpage

394

Abstract

Every user has a distinct background and a specific goal when searching for information on the Web. The goal of Web search personalization is to tailor search results to a particular user based on that user´s interests and preferences. This paper presents an approach of search engine optimization based on algorithm of BP neural networks aiming at meeting the increasing requirements of modern people to Internet information retrieval. The method makes the search engine more intelligent and personalized, which strives for providing optimum retrieval result to the users.

Keywords

Internet; backpropagation; information retrieval; neural nets; search engines; BP neural network algorithm; Internet information retrieval; Web search personalization; search engine optimization; user interests; user preferences; Arrays; Artificial neural networks; Biological neural networks; Databases; Educational institutions; Search engines; Training; BP Neural Networks; Implicit Feedback; Personalized search engine;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security (CIS), 2011 Seventh International Conference on

Conference_Location

Hainan

Print_ISBN

978-1-4577-2008-6

Type

conf

DOI

10.1109/CIS.2011.93

Filename

6128052