Web usage mining as a tool for personalization: A survey

被引:152
|
作者
Pierrakos, D [1 ]
Paliouras, G
Papatheodorou, C
Spyropoulos, CD
机构
[1] NCSR Demokritos, Inst Informat & Telecommun, GR-15310 Aghia Paraskevi, Greece
[2] Ionian Univ, Dept Archive & Lib Sci, GR-49100 Corfu, Greece
关键词
data mining; machine learning; personalization; user modeling; web usage mining;
D O I
10.1023/A:1026238916441
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is a survey of recent work in the field of web usage mining for the benefit of research on the personalization of Web-based information services. The essence of personalization is the adaptability of information systems to the needs of their users. This issue is becoming increasingly important on the Web, as non-expert users are overwhelmed by the quantity of information available online, while commercial Web sites strive to add value to their services in order to create loyal relationships with their visitors-customers. This article views Web personalization through the prism of personalization policies adopted by Web sites and implementing a variety of functions. In this context, the area of Web usage mining is a valuable source of ideas and methods for the implementation of personalization functionality. We therefore present a survey of the most recent work in the field of Web usage mining, focusing on the problems that have been identified and the solutions that have been proposed.
引用
收藏
页码:311 / 372
页数:62
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