Building Web Personalization System with Time-Driven Web Usage Mining

被引：3
|
作者：
Ramya, P. T. [1 ]
Sajeev, G. P. [1 ]
机构：
[1] Amrita Sch Engn, Dept Comp Sci, Kollam 690525, Kerala, India
来源：
PROCEEDING OF THE THIRD INTERNATIONAL SYMPOSIUM ON WOMEN IN COMPUTING AND INFORMATICS (WCI-2015) | 2015年
关键词：
Web Personalization; Web Usage Mining; Navigational Pattern; Pattern Discovery; Pattern Classification;
D O I：
10.1145/2791105.2791481
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Web personalization is a powerful tool used for personalizing the Websites. The personalization system aims at suggesting the Web pages to the users based on their navigational patterns. Use of attributes such as time, popularity of Web objects makes the model more efficient. This paper proposes a novel Web personalization model which utilizes time attributes, such as duration of visit, inter-visiting time, burst of visit, and the user's navigational pattern. Test results indicate that the proposed model explores the user's behaviour and their interest.
引用
收藏
页码：38 / 43
页数：6
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