Mobile device can be used as a medium to send and receive mobile internet content. Although there are several limitations using mobile internet, content personalisation have been viewed as an important area for advancing mobile internet. In this paper we implement the concept of using clustering and classification for user profile based on user's information ranking with demographic factors. K-means is applied as a clustering technique while Artificial Neural Networks (ANN) is used to predict user's desired content. Experimental tests have been carried out to demonstrate the proposed method and results show that it can generate promising results
