2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05) Studying Dependencies among Web Traffic and Link Analysis Data Using Perceptron Compi?gne University of Technology, France September 19-September 22 ISBN: 0-7695-2415-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2005.139
In this paper we try to experimentally check if it is possible to predict Web traffic data using only link analysis data. It is a natural continuation of [4], where correlations between link analysis and traffic data were measured. A perceptron is applied as an intelligent prediction module. The general conclusion is negative, i.e. dependencies mentioned above are too weak or too complex to be grasped by a perceptron. We also report some succesful results concerning dependencies inside link analysis and inside traffic data. All the experiments are performed on intersection of 20-million sample from Polish Web graph and traffic data concerning 3 million Polish URLs.
Citation:
Marcin Sydow, "Studying Dependencies among Web Traffic and Link Analysis Data Using Perceptron," wi, pp.124-127, 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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