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Mobile content personalisation using intelligent user profile approach

Paireekreng, W. and Wong, K.W. (2010) Mobile content personalisation using intelligent user profile approach. In: 3rd International Conference on Knowledge Discovery and Data Mining, 9 - 10 January, Phuket pp. 241-244.

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    Link to Published Version: http://dx.doi.org/10.1109/WKDD.2010.119
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    Abstract

    As there are several limitations using mobile internet, mobile content personalisation seems to be an alternative to enhance the experience of using mobile internet. In this paper, we propose the mobile content personalisation framework to facilitate collaboration between the client and the server. This paper investigates clustering and classification techniques using K-means and Artificial Neural Networks (ANN) to predict user's desired content and WAP pages based on device's listed-oriented menu approach. We make use of the user profile and user's information ranking matrix to make prediction of the desired information for the user. Experimental results show that it can generate promising prediction. The results show that it works best when used for predicting 1 matched menu item on the screen.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    Copyright: © 2010 IEEE
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This paper appears in: Third International Conference on Knowledge Discovery and Data Mining, 2010. WKDD '10. Phuket; 9 January 2010 through 10 January 2010, Article number 5432653, Pages 241-244.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/1735
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