Using N-Grams Prediction Models To Improve Web Navigation For Wireless Users

In this paper, an approach for improving web navigation for wireless users is studied. Prediction models using N-gram are built to predict navigation patterns of users. The prediction model is used in an algorithm for improving wireless web navigation by recommending shortcuts. Our approach is implemented and tested using two real data sets. Experimental results show that it can improve web navigation.