Research on the Web Mining Algorithm Application in Tourism E-Commerce

Xue Song Zhao; Kai Fan Ji

doi:10.4028/www.scientific.net/AMM.380-384.1133

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Research on the Web Mining Algorithm Application in Tourism E-Commerce
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Research on the Web Mining Algorithm Application...

Research on the Web Mining Algorithm Application in Tourism E-Commerce

Abstract:

Web mining algorithms are widely used in e-commerce. Tourism e-commerce develops fast in recent years in China but the application of web mining algorithms stays in low level compared with some developed countries. This paper first discusses two major web mining algorithms: the Association Rules algorithm and Clustering Analysis, and then analyzes the application of web mining algorithm in tourism e-commerce. It concludes that web mining algorithms can help tourism e-commerce to improve web design, increase online sales and provide better personalized services for web users.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1133-1136

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1133

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Online since:

August 2013

Authors:

Xue Song Zhao, Kai Fan Ji

Keywords:

Application, Tourism E-Commerce, Web Mining Algorithm

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