A novel prediction model based on hierarchical characteristic of web site

Chu-Hui Lee; Yu-lung Lo; Yu-Hsiang Fu

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A novel prediction model based on hierarchical characteristic of web site

机译：基于网站层次特征的新型预测模型

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摘要

Internet has developed in a rapid way in the recent 10 years,and tne information or web site has also been increasing fast. Predicting web user's behavior becomes a crucial issue following the purposes like increasing the user's browsing speed efficiently, decreasing the user's latency as well as possible and reducing the loading of web server. In this paper, we propose an efficient prediction model, two-level prediction model (TLPM), using a novel aspect of natural hierarchical property from web log data. TLPM can decrease the size of candidate set of web pages and increase the speed of predicting with adequate accuracy. The experiment results prove that TLPM can highly enhance the performance of prediction when the number of web pages is increasing.

机译：因特网在最近的十年中发展迅速，信息或网站的数量也在快速增长。遵循有效提高用户浏览速度，尽可能减少用户等待时间并减轻Web服务器负载等目的，预测Web用户的行为成为至关重要的问题。在本文中，我们提出了一种有效的预测模型，即两级预测模型（TLPM），它使用了来自Web日志数据的自然分层属性的新颖方面。 TLPM可以减小候选网页集的大小，并以足够的准确性提高预测速度。实验结果证明，当网页数量增加时，TLPM可以大大提高预测性能。

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来源
《Expert Systems with Application》 |2011年第4期|p.3422-3430|共9页
作者
Chu-Hui Lee; Yu-lung Lo; Yu-Hsiang Fu;
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作者单位

Department of Information Management, Chaoyang University of Technology, 168 Jifong E. Rd., Wufong, Taichung 41349, Taiwan, ROC;

Department of Information Management, Chaoyang University of Technology, 168 Jifong E. Rd., Wufong, Taichung 41349, Taiwan, ROC;

Department of Information Management, Chaoyang University of Technology, 168 Jifong E. Rd., Wufong, Taichung 41349, Taiwan, ROC;

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原文格式 PDF
正文语种 eng
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关键词
web usage mining; prediction; data preprocessing; markov model; bayesian theorem;

机译：Web使用挖掘预测数据预处理Markov模型贝叶斯定理;

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5. Full Bayesian Poisson-hierarchical models for crash data analysis: Investigating the impact of model choice on site-specific predictions. [D] . Khazraee Khoshroozi, Seyed Hadi. 2016

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A novel prediction model based on hierarchical characteristic of web site

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