International Journal of Application or Innovation in Engineering & Management
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ISSN 2319 – 4847
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Call for Paper, Published Articles, Indexing Infromation An Improved Heuristic Approach to Page Recommendation in Web Usage Mining, Authors : ADITYA KUMAR, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 3, Issue 8, August 2014

Title:
An Improved Heuristic Approach to Page Recommendation in Web Usage Mining
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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