International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
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Title: |
An Improved Heuristic Approach to Page Recommendation in Web Usage Mining
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Author Name: |
ADITYA KUMAR |
Abstract: |
ABSTRACT
Web usage mining is an application of data mining in order to extract data from a web server log file. The commonly visited
navigational paths are extracted in terms of web page addresses from web server visit logs and the patterns are used in various
applications including recommendation. In this paper, an existing heuristic strategy is tested and accordingly an improvised
technique is designed and developed which mimics human behavior and also adapts to the changing navigational patterns in order to
give page recommendations. The method has been tested on real time data from users who visited a popular website of generic
content.
Keywords: Web page recommendation, Web usage mining |
Cite this article: |
ADITYA KUMAR , "
An Improved Heuristic Approach to Page Recommendation in Web Usage Mining " , International Journal of Application or Innovation in Engineering & Management (IJAIEM),
Volume 3, Issue 8, August 2014 , pp.
048-051 , ISSN 2319 - 4847.
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