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A Novel Approach for Web Recommendation System based on Sequential Access Patterns

Namdeo Badhe, Kavita P. Shirsat Published in Data Mining

IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013
Year of Publication: 2013
© 2012 by IJAIS Journal
Series icwac Number 4
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  1. Namdeo Badhe and Kavita P Shirsat. Article: A Novel Approach for Web Recommendation System based on Sequential Access Patterns. IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013 ICWAC(4):36-40, July 2013. BibTeX

    	author = "Namdeo Badhe and Kavita P. Shirsat",
    	title = "Article: A Novel Approach for Web Recommendation System based on Sequential Access Patterns",
    	journal = "IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013",
    	year = 2013,
    	volume = "ICWAC",
    	number = 4,
    	pages = "36-40",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"


In recent years, there is a tremendous growth of web applications in various fields. People are using World Wide Web for different needs such as to retrieve information for e-commerce, e-governance and many more. Day by Day information available on World Wide Web is increasing exponentially, it becomes much more difficult for web users to access relevant information efficiently. Hence, it is required to develop a good recommendation system which can used to reduce the workload of web users. Usually, most of the web users surf web sites in particular patterns. If the analysis of these usage patterns is done properly then it will be useful for recommendation system to determine which web pages are most likely to be accessed by the user in the future. All users' web access activities of a web site are stored as web log file into the web server. In the proposed system consists of sequential access pattern mining with modified CS-mine algorithm. The mined patterns are used for matching and generating web links for online recommendations.


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Web Access Pattern, Algorithm, Mining