TY  - JOUR
AU  - Ramadhan, Haider 
AU  - Hatem, Muna 
AU  - Al-Khanjri, Zuhoor 
AU  - Kutti, Swamy 
PY  - 2005
TI  - A Classification of Techniques for Web Usage Analysis
JF  - Journal of Computer Science
VL  - 1
IS  - 3
DO  - 10.3844/jcssp.2005.413.418
UR  - https://thescipub.com/abstract/jcssp.2005.413.418
AB  - Techniques which assist in recognizing various access patterns and interests of the Web
users are normally referred to as an application of Web usage mining. The application provides useful
insights to address crucial points such as user interests into a particular page, server load balancing,
Web site reorganization, clustering of similar browsing patterns, classification of user profiles, content
caching or data distribution and replication. In this study, we provide an updated focused survey of
major aspects and problems related to the task of modeling the user behavior. We also point out some
recent advancement in areas related to automatic Web navigation and implicit capturing of user
interests in regard to a particular page. Main future directions are also outlined in the conclusion.