Paper Title:
5-Gram Unified Event Model
  Abstract

In this paper, a 5-gram unified event model (UEM5) is presented, which facilitates user session identification and provides better quality data for mining algorithms. Experimental results show that UEM5 is a high quality data source and has favorable online logging and offline mining performance. It can be well applied in E-commerce applications, including Web personalization, recommendation and business intelligence.

  Info
Periodical
Edited by
Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding
Pages
1319-1322
DOI
10.4028/www.scientific.net/AMM.34-35.1319
Citation
X. Y. Zou, "5-Gram Unified Event Model", Applied Mechanics and Materials, Vols. 34-35, pp. 1319-1322, 2010
Online since
October 2010
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Price
$32.00
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