International Journal of Information Science
and Management
Copyright © 2009 by
Regional Information Center for Science and Technology
Vol 7, No 1, ISSN 1726-8125, 2009
Integrating Web Content Mining into
Web Usage Mining for Finding Patterns and Predicting Users’ Behaviors
S.
Taherizadeh ,
Group of
Information Technology Engineering Tarbiat Modarres University Tehran, I. R. of
Iran ,
Corresponding Author:
Taherizadeh@modares.ac.ir
N.
Moghadam ,
Department of
Computer Science Tarbiat Modarres University Tehran, I. R. of Iran ,
email: charkari@modares.ac.ir
Abstract
With the increased confidence in the use of the Internet and the World Wide Web,
the number of electronic commerce (e-commerce) transactions is growing rapidly.
Therefore, finding useful patterns and rules of users’ behaviors has become the
critical issue for e-commerce and can be used to tailor e-commerce services in
order to successfully meet the customers’ needs.
This paper proposes an approach to integrate Web content mining into Web usage
mining. The textual content of web pages is captured through extraction of
frequent word sequences, which are combined with Web server log files to
discover useful information and association rules about users’ behaviors. The
results of this approach can be used to facilitate better recommendation, Web
personalization, Web construction, Website organization, and Web user profiling.
Keywords
:
Association Rule, Clustering, Frequent Word Sequence, Web Content Mining, Web
Usage Mining.