5-Gram Unified Event Model
Xin-Yao Zou · Applied Mechanics and Materials · 2010
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.