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IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 37, NO. 6, NOVEMBER 2007 1 Web Navigation Prediction Using Multiple Evidence
 

Summary: IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 37, NO. 6, NOVEMBER 2007 1
Web Navigation Prediction Using Multiple Evidence
Combination and Domain Knowledge
1
2
Mamoun A. Awad and Latifur R. Khan3
Abstract--Predicting users' future requests in the World Wide4
Web can be applied effectively in many important applications,5
such as web search, latency reduction, and personalization sys-6
tems. Such application has traditional tradeoffs between mod-7
eling complexity and prediction accuracy. In this paper, we8
study several hybrid models that combine different classification9
techniques, namely, Markov models, artificial neural networks10
(ANNs), and the All-Kth-Markov model, to resolve prediction11
using Dempster's rule. Such fusion overcomes the inability of the12
Markov model in predicting beyond the training data, as well as13
boosts the accuracy of ANN, particularly, when dealing with a14
large number of classes. We also employ a reduction technique,15
which uses domain knowledge, to reduce the number of classifiers16
to improve the predictive accuracy and the prediction time of17

  

Source: Awad, Mamoun Adel - College of Information Technology, United Arab Emirates University

 

Collections: Computer Technologies and Information Sciences