Optimizing WebPage Interest

Authors:
Willem Elbers;Theo Weide
Affiliations:
Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands;Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands
Venue:
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Year:
2009

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Abstract

In the rapidly evolving and growing environment of the internet, web site owners aim to maximize interest for their web site. In this article we propose a model, which combines the static structure of the internet with activity based data, to compute an interest based ranking. This ranking can be used to gain more insight into the flow of users over the internet, optimize the position of a web site and improve strategic decisions and investments. The model consists of a static centrality based component and a dynamic activity based component. The components are used to create a Markov Model in order to compute a ranking.