Improved web page recommender system based on web usage mining

Citation

Almurtadha, Yahya Mohammed and Sulaiman, Md. Nasir and Mustapha, Norwati and Udzir, Nur Izura (2011) Improved web page recommender system based on web usage mining. In: 3rd International Conference on Computing and Informatics (ICOCI 2011), 8-9 June 2011, Bandung, Indonesia. (pp. 32-36).

Abstract

Web now becomes the backbone of the information. Today the major concerns are not the availability of information but rather obtaining the right information. Mining the web aims at discovering the hidden and useful knowledge from web hyperlinks, contents or usage logs. This paper focuses on improving the prediction of the next visited web pages and recommends them to the current anonymous user by assigning him to the best navigation profiles obtained by previous navigations of similar interested users. To represent the anonymous user’s navigation history, we used a window sliding method with size n over his current navigation session. Using CTI dataset the experimental results show higher prediction accuracy for the next visited pages for anonymous users compared to previous recommendation system.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
Publisher:	Universiti Utara Malaysia Press
Keywords:	Web mining; Web page recommender
Depositing User:	Nabilah Mustapa
Date Deposited:	22 Feb 2018 08:39
Last Modified:	22 Feb 2018 08:39
URI:	http://psasir.upm.edu.my/id/eprint/59124
Statistic Details:	View Download Statistic

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