User Navigation Behavior Mining Using Multiple Data Domain Description

Authors:
Li Xue;Ming Chen;Yun Xiong;Yangyong Zhu
Affiliations:
-;-;-;-
Venue:
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Year:
2010

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Abstract

User Navigation Behavior Mining (UNBM) mainly studies the problems of extracting the interesting user access patterns from user access sequences (UAS), which are usually used for user access prediction and web page recommendation. Through analyzing the real world web data, we find most of user access sequences carrying hybrid features of different patterns, rather than a single one.