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Studying Dependencies among Web Traffic and Link Analysis Data Using Perceptron
Compi?gne University of Technology, France September 19-September 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2005.1392005 IEEE/WIC/ACM International Confe ...
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Marcin Sydow, Polish-Japanese Institute of Information Technology

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
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