Paper Info
Title
PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques
Abstract
Some challenges for Website designers are to provide correct and useful information to individual users with different backgrounds and interests, as well as to increase user satisfaction. Intelligent Web agents offer a potential solution to meet such challenges. A Web agent collects information, discovers knowledge through Web mining and users' behavior analysis, and applies the discovered knowledge to give dynamically recommendations to Website users, to update Web pages, and to provide suggestions to Website designers. The basic functionalities and components of an intelligent Web agent are discussed. A prototype system, called PagePrompter, is described. The knowledge of the system is extracted based on a combination of Web usage mining and machine learning.
Year
DOI
Venue
2002
10.1007/3-540-45813-1_67
Rough Sets and Current Trends in Computing
Keywords
Field
DocType
intelligent web agent,website designer,prototype system,website user,web usage mining,web agent,data mining techniques,basic functionalities,web page,useful information,web mining,machine learning,data mining,web pages
Web design,Web development,Data mining,World Wide Web,Web mining,Web page,Computer science,Web analytics,Data Web,Web modeling,Web service
Conference
Volume
ISSN
ISBN
2475
0302-9743
3-540-44274-X
Citations 
PageRank 
References 
11
1.03
7
Authors
3
Name
Order
Citations
PageRank
Y. Y. Yao19707674.28
H. J. Hamilton2378.91
Xuewei Wang3729.72