Time-based segmentation of log data for user navigation prediction in personalization

被引：11

作者：

Halvey, M ^{[1
]}

Keane, MT ^{[1
]}

Smyth, B ^{[1
]}

机构：

[1] Univ Coll Dublin, Dept Comp Sci, Dublin 2, Ireland

来源：

2005 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE, PROCEEDINGS | 2005年

关键词：

D O I：

10.1109/WI.2005.147

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There are many systems that attempt to predict user navigation on the Internet through the use of past behavior, preferences and environmental factors. We believe that many of these models have shortcomings, in that they do not take into account that users may have many different sets of preferences, specifically, we investigate time as an environmental factor in making predictions about user navigation. We present a method for segmenting log files in order to learn time dependent models to predict user navigation patterns and show the benefits of these models over traditional methods. An analysis is carried out on a sample of usage logs for Wireless Application Protocol (WAP) browsing, and the results of this analysis verify our hypothesis.

引用

页码：636 / 640

页数：5

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