Research of Matrix Clustering Algorithm Based on Web User Access Pattern

被引：0
|
作者：
Bao, Jian [1 ]
机构：
[1] Liaoning Tech Univ, Applicat Technol Coll, Fuxin, Peoples R China
来源：
WEB INFORMATION SYSTEMS AND MINING, PT II | 2011年 / 6988卷
关键词：
User Access Pattern; Web Mining; User Access Matrix; Matrix Clustering;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is of great significance that summarizing the regular pattern of the user along the URL to find and browse the Web, mining user browsing patterns to help users reach the target page quickly for realizing the personalized navigation of search engine. In order to provide personalized service, an optimized matrix clustering algorithm is proposed, which can cluster the page users access, analysis and study the laws in the Web log records to improve performance and organizational structure of Web site according to browsing patterns of user accessing to Web, understand the user behavior, find user browsing patterns. The Experiment results shows that the algorithm has good practicability with accurately reflecting the Web visits.
引用
收藏
页码：154 / 159
页数：6
相关论文
共 50 条
  • [1] An efficient user access pattern clustering algorithm
    Li, Xin-Ye
    Yuan, Jin-Sha
    Jing, Yong-Wen
    [J]. PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 4109 - +
  • [2] Research on Application of Clustering Algorithm Based on PSO for the Web Usage Pattern
    Chen, Junyan
    Zhang, Huiying
    [J]. 2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 3705 - 3708
  • [3] A New Frequent Path Algorithm of Web User Access Pattern
    Wu, Shaofei
    [J]. 2009 INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS, PROCEEDINGS, 2009, : 80 - 82
  • [4] An Efficient Algorithm Research to Web User Access Prediction
    Feng, Shaorong
    [J]. PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL (MEICI 2016), 2016, 135 : 1156 - 1162
  • [5] Algorithm for mining web access patterns based on user access sequences
    [J]. Jinhua, Sun, 1600, Bentham Science Publishers B.V., P.O. Box 294, Bussum, 1400 AG, Netherlands (08):
  • [6] Research on a new clustering algorithm of Web user communities and Web site's URLs
    School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
    [J]. Kongzhi yu Juece Control Decis, 2007, 3 (284-288):
  • [7] A weighted clustering algorithm based on user’ access sequence similarity
    [J]. 1600, ICIC Express Letters Office (10):
  • [8] Web user's access path clustering
    Li, Jihong
    Song, Yijun
    Wang, Kaihua
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING, AND CONTROL, VOLS 1 AND 2, 2007, : 111 - +
  • [9] Web user access pattern mining based on kohonen neural network
    Duan Long-Zhen
    Fan Mei
    Huang Long-Jun
    [J]. 2006 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS PROCEEDINGS, 2006, : 63 - 65
  • [10] A User Clustering Algorithm on Web Usage Mining
    Sun Hao
    Shen Zhaoxiang
    Zhang Bingbing
    [J]. PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017), 2017, : 919 - 922
12345